1
|
Hong D, Stoecker C, Shao Y, Nauman E, Fonseca V, Hu G, Bazzano AN, Kabagambe EK, Shi L. Effects of Non-Face-to-Face Chronic Care Management on Service Utilization and Outcomes Among US Medicare Beneficiaries with Diabetes. J Gen Intern Med 2024:10.1007/s11606-024-08667-0. [PMID: 38381242 DOI: 10.1007/s11606-024-08667-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 01/26/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) results in heavy economic and disease burdens in Louisiana. The Centers for Medicare and Medicaid Services has reimbursed non-face-to-face chronic care management (NFFCCM) for patients with two or more chronic conditions since 2015. OBJECTIVE To assess the impacts of NFFCCM on healthcare utilization and health outcomes. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study included Medicare fee-for-service beneficiaries with T2DM and at least one additional chronic disease between 2014 and 2018. EXPOSURES At least one record of NFFCCM Current Procedural Terminology codes. MAIN MEASURES The health outcomes in the study included major adverse cardiovascular events (MACE), all-cause mortality, and heart failure. The monthly service utilization and continuity of care index for primary care were also included. The propensity score method was used to balance the baseline differences between the two groups. Weighted multivariate regression models were developed using propensity score weights to assess the impacts of NFFCCM on outcomes. KEY RESULTS During the 5 years of study period, 8415 patients among the 118,643 Medicare beneficiaries received at least one NFFCCM. Patients receiving any NFFCCM had reduced healthcare utilization compared with patients not receiving NFFCCM, including 0.012 (95% CI - 0.014 to - 0.011; p < 0.001) fewer monthly hospital admissions, 0.017 (95% CI - 0.019 to - 0.016; p < 0.001) fewer monthly ED visits, and 0.399 (95% CI 0.375 to 0.423; p < 0.001) more monthly outpatient encounters. Patients receiving NFFCCM services had lower MACE event rates of 7.4% (95% CI 7.1 to 7.8%; p < 0.001), all-cause mortality rate of 7.8% (95% CI 7.4 to 8.1%; p < 0.001), and heart failure rate of 0.3% (95% CI 0.2 to 0.5%; p < 0.001), respectively. CONCLUSIONS AND RELEVANCE These findings suggest that reimbursement for NFFCCM was associated with the shifting high-cost utilization to lower-cost primary health care settings among patients with diabetes in Louisiana.
Collapse
Affiliation(s)
- Dongzhe Hong
- Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Program On Regulation, Therapeutics, and LAW (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Charles Stoecker
- Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Yixue Shao
- Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | | | - Vivian Fonseca
- Section of Endocrinology, Tulane University Health Sciences Center, New Orleans, LA, USA
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Alessandra N Bazzano
- Department of Social, Behavioral, and Population Sciences, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Edmond K Kabagambe
- Division of Academics, Ochsner Center for Outcomes Research, Ochsner Health, New Orleans, LA, USA
- Penn Medicine Lancaster General Health, Lancaster, PA, USA
| | - Lizheng Shi
- Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
| |
Collapse
|
2
|
Walker B, Stoecker C, Shao Y, Nauman E, Kabagambe EK, Shi L. Predictors of Telehealth Utilization and Subsequent Inpatient Stays and Emergency Visits During the COVID-19 Pandemic Among Patients with Type 2 Diabetes: Evidence from Louisiana. Telemed J E Health 2024; 30:278-283. [PMID: 37405746 DOI: 10.1089/tmj.2022.0509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/06/2023] Open
Abstract
Objective: To understand which types of Medicare patients with diabetes disproportionately used telehealth during the coronavirus disease 2019 pandemic and how their characteristics mediated their inpatient and emergency department (ED) utilization. Methods: Logistic regression analyses were used to measure the associations between patient characteristics and telehealth utilization using electronic health records among Medicare patients with diabetes (n = 31,654). Propensity score matching was used to examine the relative impact of telehealth use in conjunction with race, ethnicity, and age on inpatient and ED outcomes. Results: Telehealth was associated with age (75-84 vs. 65-74; odds ratio [OR] = 0.810, p < 0.01), gender (female: OR = 1.148, p < 0.01), and chronic diseases (e.g., lung disease: OR = 1.142; p < 0.01). Black patients using telehealth were less likely to visit the ED (estimate = -0.018; p = 0.08), whereas younger beneficiaries using telehealth were less likely to experience an inpatient stay (estimate = -0.017; p = 0.06). Conclusions: Telehealth expansion particularly benefited the clinically vulnerable but saw uneven use and uneven benefit along sociodemographic lines. Clinical Trial Registration Number: NCT03136471.
Collapse
Affiliation(s)
- Brigham Walker
- Department of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Charles Stoecker
- Department of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Yixue Shao
- Department of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Elizabeth Nauman
- Louisiana Public Health Institute (LPHI), New Orleans, Louisiana, USA
| | - Edmond K Kabagambe
- Penn Medicine Lancaster General Health Research Institute, Lancaster, Pennsylvania, USA
| | - Lizheng Shi
- Department of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| |
Collapse
|
3
|
Shao Y, Stoecker C, Hong D, Nauman E, Fonseca V, Hu G, Bazzano AN, Kabagambe EK, Shi L. The Impact of Reimbursement for Non-Face-to-Face Chronic Care Management on Health Utilization Among Patients With Type 2 Diabetes in Louisiana. Value Health 2023; 26:676-684. [PMID: 36216707 PMCID: PMC10870256 DOI: 10.1016/j.jval.2022.09.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 09/01/2022] [Accepted: 09/06/2022] [Indexed: 05/03/2023]
Abstract
OBJECTIVES We evaluated the impact of reimbursement for non-face-to-face chronic care management (NFFCCM) on healthcare utilization among Medicare beneficiaries with type 2 diabetes in Louisiana. METHODS We implemented group-based trajectory balancing and propensity score matching to obtain comparable treatment (with NFFCCM) and control (without NFFCCM) groups at baseline. Patients with diabetes with Medicare as their primary payer at baseline were extracted using electronic health records of 3 health systems from Research Action for Health Network, a Clinical Research Network. The study period is from 2013 to early 2020. Our outcomes include general healthcare utilization (outpatient, emergency department, and inpatient encounters) and health utilization related to diabetic complications. We tested each of these outcomes according to multiple treatment definitions and different subgroups. RESULTS Receiving any NFFCCM was associated with an increase in outpatient visits of 657 (95% confidence interval [CI] 626-687; P < .001) per 1000 patients per month, a decrease in inpatient admissions of 5 (95% CI 2-7; P < .001) per 1000 patients per month, and a decrease in emergency department visits of 4 (95% CI 1-7; P = .005) per 1000 patients per month after 24-month follow-up from initial NFFCCM encounter. Both complex and noncomplex NFFCCM significantly increased visits to outpatient services and inpatient admissions per month. Receiving NFFCCM has a dose-response association with increasing outpatient visits per month. CONCLUSIONS Patients with diabetes in Louisiana who received NFFCCM had more low-cost primary healthcare and less high-cost healthcare utilization in general. The cost savings of NFFCCM in diabetes management could be further explored in the future.
Collapse
Affiliation(s)
- Yixue Shao
- Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Charles Stoecker
- Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Dongzhe Hong
- Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | | | - Vivian Fonseca
- Section of Endocrinology, Tulane University Health Sciences Center, New Orleans, LA, USA
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Alessandra N Bazzano
- Department of Social, Behavioral, and Population Sciences, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Edmond K Kabagambe
- Ochsner Center for Outcomes Research, Division of Academics, Ochsner Health, New Orleans, LA, USA
| | - Lizheng Shi
- Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
| |
Collapse
|
4
|
Shao Y, Stoecker C, Hong D, Nauman E, Fonseca V, Hu G, Bazzano AN, Fort D, Kabagambe EK, Shi L. The Impact of Reimbursement for Non-Face-to-Face Chronic Care Management on Comprehensive Metabolic Biomarkers Among Multimorbid Patients With Type 2 Diabetes. Med Care 2023; 61:157-164. [PMID: 36728398 PMCID: PMC11110110 DOI: 10.1097/mlr.0000000000001816] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
AIMS We evaluated the impact of reimbursement for non-face-to-face chronic care management (NFFCCM) on comprehensive metabolic risk factors among multimorbid Medicare beneficiaries with type 2 diabetes in Louisiana. MATERIALS AND METHODS We implemented a propensity score method to obtain comparable treatment (n=1501 with NFFCCM) and control (n=17,524 without NFFCCM) groups. Patients with type 2 diabetes were extracted from the electronic health records stored in REACHnet. The study period was from 2013 to February 2020. The comprehensive metabolic risk factors included the primary outcome of glycated hemoglobin (HbA1c) (as the primary outcome) and the secondary outcomes of body mass index (BMI), systolic blood pressure (BP), and low-density lipoprotein cholesterol. RESULTS Receiving any NFFCCM was associated with improvement in all outcomes measures: a reduction in HbA1c of 0.063% (95% CI: 0.031%-0.094%; P <0.001), a reduction in BMI of 0.155 kg/m 2 (95% CI: 0.029-0.282 kg/m 2 ; P =0.016), a reduction in systolic BP of 0.816 mm Hg (95% CI: 0.469-1.163 mm Hg; P <0.001), and a reduction in low-density lipoprotein cholesterol of 1.779 mg/dL (95% CI: 0.988 2.570 mg/dL; P <0.001). Compared with the control group, the treatment group had 1.6% more patients with HbA1c <7% (95% CI: 0.3%-2.9%; P =0.013). CONCLUSIONS Patients with diabetes in Louisiana receiving NFFCCM experienced better control of HbA1c, BMI, BP, and low-density lipoprotein outcomes.
Collapse
Affiliation(s)
- Yixue Shao
- Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University
| | - Charles Stoecker
- Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University
| | - Dongzhe Hong
- Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University
| | | | - Vivian Fonseca
- Section of Endocrinology, Tulane University Health Sciences Center, New Orleans
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge
| | - Alessandra N. Bazzano
- Department of Social, Behavioral, and Population Sciences, School of Public Health and Tropical Medicine, Tulane University
| | | | | | - Lizheng Shi
- Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University
| |
Collapse
|
5
|
Akinyelure OP, Colantonio LD, Chaudhary NS, Jaeger BC, Judd SE, Cushman M, Zakai NA, Kabagambe EK, Howard VJ, Safford MM, Irvin MR. Inflammation biomarkers and incident coronary heart disease: the Reasons for Geographic And Racial Differences in Stroke Study. Am Heart J 2022; 253:39-47. [PMID: 35810789 DOI: 10.1016/j.ahj.2022.07.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 06/10/2022] [Accepted: 07/05/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Individual inflammation biomarkers are associated with incident coronary heart disease (CHD) events. However, there is limited research on whether the risk for incident CHD is progressively higher with a higher number of inflammation biomarkers in abnormal levels. METHODS We used data from 15,758 Reasons for Geographic and Racial Differences in Stroke (REGARDS) study participants aged ≥45 years without a history of CHD at baseline in 2003-2007. Abnormal levels of baseline high-sensitivity C-reactive protein, leukocyte count and serum albumin were defined as ≥3.8 mg/L (3rd tertile), ≥6.3 x 109 cells/L (3rd tertile), and <4.0 g/dL (1st tertile), respectively. The outcome was a composite of incident myocardial infarction or CHD death. RESULTS Overall, 38.9% (n = 6,123) had 0, 36.6% (n = 5,774) had 1, 19.8% (n = 3,113) had 2 and 4.7% (n = 748) had 3 biomarkers of inflammation in abnormal levels. Over a median follow-up of 11.4 years, 954 (6.1%) participants had incident CHD. The rate of incident CHD per 1000 person-years for individuals with 0, 1, 2, and 3 biomarkers of inflammation in abnormal levels was 4.4 (95% confidence interval [CI]: 3.9-5.0), 6.3 (95% CI: 5.6-6.9), 8.8 (95% CI: 7.8-9.9), and 10.6 (95% CI: 8.1-13.1), respectively. Multi-variable adjusted hazard ratios for incident CHD associated with 1, 2 and 3 versus no inflammation biomarker in abnormal levels were 1.26 (95% CI: 1.07-1.49), 1.72 (95% CI: 1.43-2.07), and 1.84 (95% CI: 1.37-2.47), respectively (P-trend < .001). CONCLUSIONS The number of inflammation markers in abnormal levels was associated with increased risk of incident CHD after multi-variable adjustment.
Collapse
Affiliation(s)
| | | | - Ninad S Chaudhary
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX
| | - Byron C Jaeger
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Suzanne E Judd
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL
| | - Mary Cushman
- Department of Medicine, Department of Pathology & Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT
| | - Neil A Zakai
- Department of Medicine, Department of Pathology & Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT
| | - Edmond K Kabagambe
- Ochsner Center for Outcomes Research, Division of Academics, Ochsner Health, New Orleans, LA; The Ochsner-Xavier Institute for Health Equity and Research (OXIHER) Ochsner Health, New Orleans, LA
| | - Virginia J Howard
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL
| | - Monika M Safford
- Division of General Internal Medicine, Weill Cornell Medicine, New York, NY
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL.
| |
Collapse
|
6
|
Fan L, Zhu X, Shingina A, Kabagambe EK, Shrubsole MJ, Dai Q. Racial Disparities in Associations of Alcohol Consumption With Liver Disease Mortality in a Predominantly Low-Income Population: A Report From the Southern Community Cohort Study. Am J Gastroenterol 2022; 117:1523-1529. [PMID: 35416798 PMCID: PMC9437117 DOI: 10.14309/ajg.0000000000001768] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 04/04/2022] [Indexed: 12/11/2022]
Abstract
Consistent with previous cross-sectional studies, in the Southern Community Cohort Study, the largest cohort for Black Americans conducted in a predominantly low-income population with 81,694 participants, we found that moderate alcohol drinking was associated with a significantly increased risk of mortality due to liver disease in Black Americans (hazard ratio = 2.06; 95% confidence interval: 1.08-3.94) but not in White Americans (hazard ratio = 0.87; 95% confidence interval: 0.52-1.44). We found that heavy drinking was significantly associated with an increased risk of mortality due to liver disease in both Black and White Americans. Future studies are warranted to understand the mechanism involving such racial disparity.
Collapse
Affiliation(s)
- Lei Fan
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiangzhu Zhu
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alexandra Shingina
- Division of Gastroenterology, Hepatology and Nutrition, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Martha J. Shrubsole
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qi Dai
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| |
Collapse
|
7
|
Mahajan A, Spracklen CN, Zhang W, Ng MCY, Petty LE, Kitajima H, Yu GZ, Rüeger S, Speidel L, Kim YJ, Horikoshi M, Mercader JM, Taliun D, Moon S, Kwak SH, Robertson NR, Rayner NW, Loh M, Kim BJ, Chiou J, Miguel-Escalada I, Della Briotta Parolo P, Lin K, Bragg F, Preuss MH, Takeuchi F, Nano J, Guo X, Lamri A, Nakatochi M, Scott RA, Lee JJ, Huerta-Chagoya A, Graff M, Chai JF, Parra EJ, Yao J, Bielak LF, Tabara Y, Hai Y, Steinthorsdottir V, Cook JP, Kals M, Grarup N, Schmidt EM, Pan I, Sofer T, Wuttke M, Sarnowski C, Gieger C, Nousome D, Trompet S, Long J, Sun M, Tong L, Chen WM, Ahmad M, Noordam R, Lim VJY, Tam CHT, Joo YY, Chen CH, Raffield LM, Lecoeur C, Prins BP, Nicolas A, Yanek LR, Chen G, Jensen RA, Tajuddin S, Kabagambe EK, An P, Xiang AH, Choi HS, Cade BE, Tan J, Flanagan J, Abaitua F, Adair LS, Adeyemo A, Aguilar-Salinas CA, Akiyama M, Anand SS, Bertoni A, Bian Z, Bork-Jensen J, Brandslund I, Brody JA, Brummett CM, Buchanan TA, Canouil M, Chan JCN, Chang LC, Chee ML, Chen J, Chen SH, Chen YT, Chen Z, Chuang LM, Cushman M, Das SK, de Silva HJ, Dedoussis G, Dimitrov L, Doumatey AP, Du S, Duan Q, Eckardt KU, Emery LS, Evans DS, Evans MK, Fischer K, Floyd JS, Ford I, Fornage M, Franco OH, Frayling TM, Freedman BI, Fuchsberger C, Genter P, Gerstein HC, Giedraitis V, González-Villalpando C, González-Villalpando ME, Goodarzi MO, Gordon-Larsen P, Gorkin D, Gross M, Guo Y, Hackinger S, Han S, Hattersley AT, Herder C, Howard AG, Hsueh W, Huang M, Huang W, Hung YJ, Hwang MY, Hwu CM, Ichihara S, Ikram MA, Ingelsson M, Islam MT, Isono M, Jang HM, Jasmine F, Jiang G, Jonas JB, Jørgensen ME, Jørgensen T, Kamatani Y, Kandeel FR, Kasturiratne A, Katsuya T, Kaur V, Kawaguchi T, Keaton JM, Kho AN, Khor CC, Kibriya MG, Kim DH, Kohara K, Kriebel J, Kronenberg F, Kuusisto J, Läll K, Lange LA, Lee MS, Lee NR, Leong A, Li L, Li Y, Li-Gao R, Ligthart S, Lindgren CM, Linneberg A, Liu CT, Liu J, Locke AE, Louie T, Luan J, Luk AO, Luo X, Lv J, Lyssenko V, Mamakou V, Mani KR, Meitinger T, Metspalu A, Morris AD, Nadkarni GN, Nadler JL, Nalls MA, Nayak U, Nongmaithem SS, Ntalla I, Okada Y, Orozco L, Patel SR, Pereira MA, Peters A, Pirie FJ, Porneala B, Prasad G, Preissl S, Rasmussen-Torvik LJ, Reiner AP, Roden M, Rohde R, Roll K, Sabanayagam C, Sander M, Sandow K, Sattar N, Schönherr S, Schurmann C, Shahriar M, Shi J, Shin DM, Shriner D, Smith JA, So WY, Stančáková A, Stilp AM, Strauch K, Suzuki K, Takahashi A, Taylor KD, Thorand B, Thorleifsson G, Thorsteinsdottir U, Tomlinson B, Torres JM, Tsai FJ, Tuomilehto J, Tusie-Luna T, Udler MS, Valladares-Salgado A, van Dam RM, van Klinken JB, Varma R, Vujkovic M, Wacher-Rodarte N, Wheeler E, Whitsel EA, Wickremasinghe AR, van Dijk KW, Witte DR, Yajnik CS, Yamamoto K, Yamauchi T, Yengo L, Yoon K, Yu C, Yuan JM, Yusuf S, Zhang L, Zheng W, Raffel LJ, Igase M, Ipp E, Redline S, Cho YS, Lind L, Province MA, Hanis CL, Peyser PA, Ingelsson E, Zonderman AB, Psaty BM, Wang YX, Rotimi CN, Becker DM, Matsuda F, Liu Y, Zeggini E, Yokota M, Rich SS, Kooperberg C, Pankow JS, Engert JC, Chen YDI, Froguel P, Wilson JG, Sheu WHH, Kardia SLR, Wu JY, Hayes MG, Ma RCW, Wong TY, Groop L, Mook-Kanamori DO, Chandak GR, Collins FS, Bharadwaj D, Paré G, Sale MM, Ahsan H, Motala AA, Shu XO, Park KS, Jukema JW, Cruz M, McKean-Cowdin R, Grallert H, Cheng CY, Bottinger EP, Dehghan A, Tai ES, Dupuis J, Kato N, Laakso M, Köttgen A, Koh WP, Palmer CNA, Liu S, Abecasis G, Kooner JS, Loos RJF, North KE, Haiman CA, Florez JC, Saleheen D, Hansen T, Pedersen O, Mägi R, Langenberg C, Wareham NJ, Maeda S, Kadowaki T, Lee J, Millwood IY, Walters RG, Stefansson K, Myers SR, Ferrer J, Gaulton KJ, Meigs JB, Mohlke KL, Gloyn AL, Bowden DW, Below JE, Chambers JC, Sim X, Boehnke M, Rotter JI, McCarthy MI, Morris AP. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation. Nat Genet 2022; 54:560-572. [PMID: 35551307 PMCID: PMC9179018 DOI: 10.1038/s41588-022-01058-3] [Citation(s) in RCA: 183] [Impact Index Per Article: 91.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 03/23/2022] [Indexed: 02/02/2023]
Abstract
We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 × 10-9), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with >50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background.
Collapse
Affiliation(s)
- Anubha Mahajan
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Genentech, South San Francisco, CA, USA.
| | - Cassandra N Spracklen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Epidemiology and Biostatistics, University of Massachusetts Amherst, Amherst, MA, USA
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, London, UK
| | - Maggie C Y Ng
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Lauren E Petty
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hidetoshi Kitajima
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- The Advanced Research Center for Innovations in Next-Generation Medicine (INGEM), Tohoku University, Sendai, Japan
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Cancer Center, Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Grace Z Yu
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Sina Rüeger
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Leo Speidel
- Genetics Institute, University College London, London, UK
- Francis Crick Institute, London, UK
| | - Young Jin Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
| | - Momoko Horikoshi
- Laboratory for Genomics of Diabetes and Metabolism, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Josep M Mercader
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Daniel Taliun
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Sanghoon Moon
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
| | - Soo-Heon Kwak
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Neil R Robertson
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Nigel W Rayner
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Marie Loh
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR) and National University of Singapore (NUS), Singapore, Singapore
| | - Bong-Jo Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
| | - Joshua Chiou
- Biomedical Sciences Graduate Studies Program, University of California San Diego, La Jolla, CA, USA
- Internal Medicine Research Unit, Pfizer Worldwide Research, Cambridge, MA, USA
| | - Irene Miguel-Escalada
- Regulatory Genomics and Diabetes, Centre for Genomic Regulation, the Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Madrid, Spain
| | | | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Fiona Bragg
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Michael H Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Jana Nano
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Amel Lamri
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Robert A Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Jung-Jin Lee
- Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Alicia Huerta-Chagoya
- Consejo Nacional de Ciencia y Tecnología (CONACYT), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Departamento de Medicina Genómica y Toxicologí, a AmbientalInstituto de Investigaciones Biomédicas, UNAM, Ciudad de Mexico, Mexico, Mexico
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jin-Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Esteban J Parra
- Department of Anthropology, University of Toronto at Mississauga, Mississauga, Ontario, Canada
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yang Hai
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | | | - James P Cook
- Department of Health Data Science, University of Liverpool, Liverpool, UK
| | - Mart Kals
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ellen M Schmidt
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Ian Pan
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Tamar Sofer
- Department of Biostatistics, Harvard University, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard University, Boston, MA, USA
| | - Matthias Wuttke
- Institute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Chloe Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Epidemiology, Human Genetics, and Environmental Sciences, the University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, USA
| | - Christian Gieger
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Darryl Nousome
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Institute for Medicine and Public Health, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Meng Sun
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Lin Tong
- Institute for Population and Precision Health, the University of Chicago, Chicago, IL, USA
| | - Wei-Min Chen
- Department of Public Health Sciences and Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Meraj Ahmad
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
| | - Raymond Noordam
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Victor J Y Lim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Claudia H T Tam
- Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, the Chinese University of Hong Kong, Hong Kong, China
| | - Yoonjung Yoonie Joo
- Division of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Health and Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Institute of Data Science, Korea University, Seoul, South Korea
| | - Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Cécile Lecoeur
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- University of Lille, Lille University Hospital, Lille, France
| | - Bram Peter Prins
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Aude Nicolas
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Richard A Jensen
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Salman Tajuddin
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Edmond K Kabagambe
- Division of Epidemiology, Department of Medicine, Institute for Medicine and Public Health, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Academics, Ochsner Health, New Orleans, LA, USA
| | - Ping An
- Division of Statistical Genomics, Washington University School of Medicine, St Louis, MO, USA
| | - Anny H Xiang
- Department of Research and Evaluation, Division of Biostatistics Research, Kaiser Permanente of Southern California, Pasadena, CA, USA
| | - Hyeok Sun Choi
- Department of Biomedical Science, Hallym University, Chuncheon, South Korea
| | - Brian E Cade
- Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Jingyi Tan
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jack Flanagan
- Laboratory for Genomics of Diabetes and Metabolism, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Health Data Science, University of Liverpool, Liverpool, UK
| | - Fernando Abaitua
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Vertex Pharmaceuticals Ltd, Oxford, UK
| | - Linda S Adair
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Adebowale Adeyemo
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Carlos A Aguilar-Salinas
- Unidad de Investigación en Enfermedades Metabólicas and Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Masato Akiyama
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Sonia S Anand
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Alain Bertoni
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ivan Brandslund
- Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
- Department of Clinical Biochemistry, Vejle Hospital, Vejle, Denmark
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Chad M Brummett
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Thomas A Buchanan
- Department of Medicine, Division of Endocrinology and Diabetes, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Mickaël Canouil
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- University of Lille, Lille University Hospital, Lille, France
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, the Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, the Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, the Chinese University of Hong Kong, Hong Kong, China
| | - Li-Ching Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Miao-Li Chee
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Ji Chen
- Wellcome Sanger Institute, Hinxton, UK
- Exeter Centre of Excellence in Diabetes (ExCEeD), Exeter Medical School, University of Exeter, Exeter, UK
| | - Shyh-Huei Chen
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Yuan-Tsong Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Lee-Ming Chuang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
| | - Mary Cushman
- Department of Medicine, University of Vermont, Colchester, VT, USA
| | - Swapan K Das
- Section on Endocrinology and Metabolism, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - H Janaka de Silva
- Department of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | - George Dedoussis
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - Latchezar Dimitrov
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shufa Du
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Qing Duan
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
- Department of Nephrology and Hypertension, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Leslie S Emery
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Krista Fischer
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - James S Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Barry I Freedman
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Christian Fuchsberger
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Pauline Genter
- Department of Medicine, Division of Endocrinology and Metabolism, Lundquist Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Hertzel C Gerstein
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Clicerio González-Villalpando
- Centro de Estudios en Diabetes, Unidad de Investigacion en Diabetes y Riesgo Cardiovascular, Centro de Investigacion en Salud Poblacional, Instituto Nacional de Salud Publica, Mexico City, Mexico
| | - Maria Elena González-Villalpando
- Centro de Estudios en Diabetes, Unidad de Investigacion en Diabetes y Riesgo Cardiovascular, Centro de Investigacion en Salud Poblacional, Instituto Nacional de Salud Publica, Mexico City, Mexico
| | - Mark O Goodarzi
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - David Gorkin
- Center for Epigenomics, University of California San Diego, La Jolla, CA, USA
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Sophie Hackinger
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Sohee Han
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
| | | | - Christian Herder
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Annie-Green Howard
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Willa Hsueh
- Department of Internal Medicine, Diabetes and Metabolism Research Center, the Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Mengna Huang
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
- Center for Global Cardiometabolic Health, Brown University, Providence, RI, USA
| | - Wei Huang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai (CHGC) and Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), Shanghai, China
| | - Yi-Jen Hung
- Division of Endocrine and Metabolism, Tri-Service General Hospital Songshan Branch, Taipei, Taiwan
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Mi Yeong Hwang
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
| | - Chii-Min Hwu
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Sahoko Ichihara
- Department of Environmental and Preventive Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan
| | - Mohammad Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | | | - Masato Isono
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Hye-Mi Jang
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
| | - Farzana Jasmine
- Institute for Population and Precision Health, the University of Chicago, Chicago, IL, USA
| | - Guozhi Jiang
- Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, the Chinese University of Hong Kong, Hong Kong, China
| | - Jost B Jonas
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
| | - Marit E Jørgensen
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- National Institute of Public Health, Southern Denmark University, Copenhagen, Denmark
| | - Torben Jørgensen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Faculty of Medicine, Aalborg University, Aalborg, Denmark
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, the University of Tokyo, Tokyo, Japan
| | - Fouad R Kandeel
- Department of Clinical Diabetes, Endocrinology & Metabolism, Department of Translational Research and Cellular Therapeutics, City of Hope, Duarte, CA, USA
| | | | - Tomohiro Katsuya
- Department of Clinical Gene Therapy, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Varinderpal Kaur
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Jacob M Keaton
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Division of Epidemiology, Department of Medicine, Institute for Medicine and Public Health, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Abel N Kho
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Center for Health Information Partnerships, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Chiea-Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Muhammad G Kibriya
- Institute for Population and Precision Health, the University of Chicago, Chicago, IL, USA
| | - Duk-Hwan Kim
- Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, South Korea
| | - Katsuhiko Kohara
- Department of Regional Resource Management, Ehime University Faculty of Collaborative Regional Innovation, Ehime, Japan
- Ibusuki Kozenkai Hospital, Ibusuki, Japan
| | - Jennifer Kriebel
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Kristi Läll
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
| | - Leslie A Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Myung-Shik Lee
- Severance Biomedical Science Institute and Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Nanette R Lee
- USC-Office of Population Studies Foundation, Inc., University of San Carlos, Cebu City, Philippines
| | - Aaron Leong
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Liming Li
- Department of Epidemiology and Biostatistics, Peking University Health Science Centre, Peking University, Beijing, China
| | - Yun Li
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Symen Ligthart
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Cecilia M Lindgren
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Program in Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Adam E Locke
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Medicine, Division of Genomics and Bioinformatics, Washington University School of Medicine, St Louis, MO, USA
- Regeneron Genetics Center, Tarrytown, NY, USA
| | - Tin Louie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Andrea O Luk
- Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, the Chinese University of Hong Kong, Hong Kong, China
| | - Xi Luo
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jun Lv
- Department of Epidemiology and Biostatistics, Peking University Health Science Centre, Peking University, Beijing, China
| | - Valeriya Lyssenko
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden
- Department of Clinical Science, Center for Diabetes Research, University of Bergen, Bergen, Norway
| | - Vasiliki Mamakou
- Dromokaiteio Psychiatric Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - K Radha Mani
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technical University of Munich, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Andres Metspalu
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Andrew D Morris
- The Usher Institute to the Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Girish N Nadkarni
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Digital Health Center, Digital Engineering Faculty of Hasso Plattner Institue and University Potsdam, Potsdam, Germany
- The Division of Data Driven and Digital Medicine (D3M), Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jerry L Nadler
- Department of Medicine and Pharmacology, New York Medical College, Valhalla, NY, USA
| | - Michael A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International LLC, Glen Echo, MD, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Baltimore, MD, USA
| | - Uma Nayak
- Department of Public Health Sciences and Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Suraj S Nongmaithem
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
| | - Ioanna Ntalla
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Osaka, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Lorena Orozco
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Sanjay R Patel
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mark A Pereira
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Annette Peters
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Fraser J Pirie
- Department of Diabetes and Endocrinology, Nelson R. Mandela School of Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Bianca Porneala
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Gauri Prasad
- Academy of Scientific and Innovative Research, CSIR-Human Resource Development Centre Campus, Ghaziabad, India
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - Sebastian Preissl
- Center for Epigenomics, University of California San Diego, La Jolla, CA, USA
| | - Laura J Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Michael Roden
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Rebecca Rohde
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kathryn Roll
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Maike Sander
- Department of Pediatrics, Pediatric Diabetes Research Center, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Kevin Sandow
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Digital Health Center, Digital Engineering Faculty of Hasso Plattner Institue and University Potsdam, Potsdam, Germany
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mohammad Shahriar
- Institute for Population and Precision Health, the University of Chicago, Chicago, IL, USA
- Institute for Population and Precision Health (IPPH), Biological Sciences Division, the University of Chicago, Chicago, IL, USA
| | - Jinxiu Shi
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai (CHGC) and Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), Shanghai, China
| | - Dong Mun Shin
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Wing Yee So
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, the Chinese University of Hong Kong, Hong Kong, China
| | - Alena Stančáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Adrienne M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Konstantin Strauch
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Ken Suzuki
- Laboratory for Genomics of Diabetes and Metabolism, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Atsushi Takahashi
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Genomic Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Barbara Thorand
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Unnur Thorsteinsdottir
- deCODE Genetics, Amgen Inc., Reykjavik, Iceland
- Faculty of Medicine, University of Reykjavik, Reykjavik, Iceland
| | - Brian Tomlinson
- Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong, China
- Faculty of Medicine, Macau University of Science and Technology, Macau, China
| | - Jason M Torres
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Fuu-Jen Tsai
- Department of Medical Genetics and Medical Research, China Medical University Hospital, Taichung, Taiwan
| | - Jaakko Tuomilehto
- Department of Health, Finnish Institute for Health and Welfare, Helsinki, Finland
- National School of Public Health, Madrid, Spain
- Department of Neuroscience and Preventive Medicine, Danube University Krems, Krems, Austria
- Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Teresa Tusie-Luna
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Departamento de Medicina Genómica y Toxiología, Ambiental Instituto de Investigaciones Biomédicas, UNAM, Mexico City, Mexico
| | - Miriam S Udler
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Adan Valladares-Salgado
- Unidad de Investigacion Medica en Bioquimica, Hospital de Especialidades, Centro Medico Nacional Siglo XXI, IMSS, Mexico City, Mexico
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Jan B van Klinken
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, the Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
- Department of Clinical Chemistry, Laboratory of Genetic Metabolic Disease, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Rohit Varma
- Southern California Eye Institute, CHA Hollywood Presbyterian Medical Center, Los Angeles, CA, USA
| | - Marijana Vujkovic
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Niels Wacher-Rodarte
- Unidad de Investigación Médica en Epidemiologia Clinica, Hospital de Especialidades, Centro Medico Nacional Siglo XXI, IMSS, Mexico City, Mexico
| | - Eleanor Wheeler
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Ko Willems van Dijk
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, the Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Danish Diabetes Academy, Odense, Denmark
| | - Chittaranjan S Yajnik
- Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India
| | - Ken Yamamoto
- Department of Medical Biochemistry, Kurume University School of Medicine, Kurume, Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Loïc Yengo
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Kyungheon Yoon
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, Peking University Health Science Centre, Peking University, Beijing, China
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Salim Yusuf
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Liang Zhang
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Institute for Medicine and Public Health, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Leslie J Raffel
- Department of Pediatrics, Division of Genetic and Genomic Medicine, UCI Irvine School of Medicine, Irvine, CA, USA
| | - Michiya Igase
- Department of Anti-Aging Medicine, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Eli Ipp
- Department of Medicine, Division of Endocrinology and Metabolism, Lundquist Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Susan Redline
- Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Yoon Shin Cho
- Department of Biomedical Science, Hallym University, Chuncheon, South Korea
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Michael A Province
- Division of Statistical Genomics, Washington University School of Medicine, St Louis, MO, USA
| | - Craig L Hanis
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Erik Ingelsson
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
| | - Ya-Xing Wang
- Beijing Institute of Ophthalmology, Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Diane M Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Medicine, Division of Cardiology, Duke University School of Medicine, Durham, NC, USA
| | - Eleftheria Zeggini
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
| | | | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | | | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - James C Engert
- Department of Medicine, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Philippe Froguel
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- University of Lille, Lille University Hospital, Lille, France
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, UK
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Wayne H H Sheu
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Endocrinology and Metabolism, Department of Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jer-Yuarn Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - M Geoffrey Hayes
- Division of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Anthropology, Northwestern University, Evanston, IL, USA
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, the Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, the Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, the Chinese University of Hong Kong, Hong Kong, China
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Leif Groop
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Giriraj R Chandak
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
| | - Francis S Collins
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Dwaipayan Bharadwaj
- Academy of Scientific and Innovative Research, CSIR-Human Resource Development Centre Campus, Ghaziabad, India
- Systems Genomics Laboratory, School of Biotechnology, Jawaharlal Nehru University, New Delhi, India
| | - Guillaume Paré
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Michèle M Sale
- Department of Public Health Sciences and Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Habibul Ahsan
- Institute for Population and Precision Health, the University of Chicago, Chicago, IL, USA
| | - Ayesha A Motala
- Department of Diabetes and Endocrinology, Nelson R. Mandela School of Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Institute for Medicine and Public Health, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kyong-Soo Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Netherlands Heart Institute, Utrecht, the Netherlands
| | - Miguel Cruz
- Unidad de Investigacion Medica en Bioquimica, Hospital de Especialidades, Centro Medico Nacional Siglo XXI, IMSS, Mexico City, Mexico
| | - Roberta McKean-Cowdin
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Harald Grallert
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Erwin P Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Digital Health Center, Digital Engineering Faculty of Hasso Plattner Institue and University Potsdam, Potsdam, Germany
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - E-Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Woon-Puay Koh
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Colin N A Palmer
- Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, University of Dundee, Dundee, UK
| | - Simin Liu
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
- Center for Global Cardiometabolic Health, Brown University, Providence, RI, USA
- Department of Medicine, Brown University Alpert School of Medicine, Providence, RI, USA
| | - Goncalo Abecasis
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Mindich Child Health and Development Institute, Ichan School of Medicine at Mount Sinai, New York, NY, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christopher A Haiman
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Jose C Florez
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Danish Saleheen
- Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA
- Center for Non-Communicable Diseases, Karachi, Pakistan
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Computational Medicine, Berlin Institute of Health at Charité Universitätsmedizin, Berlin, Germany
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Shiro Maeda
- Laboratory for Genomics of Diabetes and Metabolism, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
- Division of Clinical Laboratory and Blood Transfusion, University of the Ryukyus Hospital, Okinawa, Japan
| | - Takashi Kadowaki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
- Toranomon Hospital, Tokyo, Japan
| | - Juyoung Lee
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Kari Stefansson
- deCODE Genetics, Amgen Inc., Reykjavik, Iceland
- Faculty of Medicine, University of Reykjavik, Reykjavik, Iceland
| | - Simon R Myers
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Statistics, University of Oxford, Oxford, UK
| | - Jorge Ferrer
- Regulatory Genomics and Diabetes, Centre for Genomic Regulation, the Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Madrid, Spain
- Section of Genetics and Genomics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Kyle J Gaulton
- Department of Pediatrics, Pediatric Diabetes Research Center, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - James B Meigs
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anna L Gloyn
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Division of Endocrinology, Department of Pediatrics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer E Below
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, London, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
- Genentech, South San Francisco, CA, USA.
| | - Andrew P Morris
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Department of Health Data Science, University of Liverpool, Liverpool, UK.
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester, UK.
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester, UK.
| |
Collapse
|
8
|
Lam SY, Mommersteeg MC, Yu B, Broer L, Spaander MCW, Frost F, Weiss S, Völzke H, Lerch MM, Schöttker B, Zhang Y, Stocker H, Brenner H, Levy D, Hwang SJ, Wood AC, Rich SS, Rotter JI, Taylor KD, Tracy RP, Kabagambe EK, Leja M, Klovins J, Peculis R, Rudzite D, Nikitina-Zake L, Skenders G, Rovite V, Uitterlinden A, Kuipers EJ, Fuhler GM, Homuth G, Peppelenbosch MP. Toll-Like Receptor 1 Locus Re-examined in a Genome-Wide Association Study Update on Anti-Helicobacter pylori IgG Titers. Gastroenterology 2022; 162:1705-1715. [PMID: 35031300 DOI: 10.1053/j.gastro.2022.01.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 12/03/2021] [Accepted: 01/07/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUND & AIMS A genome-wide significant association between anti-Helicobacter pylori (H pylori) IgG titers and Toll-like receptor (TLR1/6/10) locus on 4p14 was demonstrated for individuals of European ancestry, but not uniformly replicated. We re-investigated this association in an updated genome-wide association study (GWAS) meta-analysis for populations with low gastric cancer incidence, address potential causes of cohort heterogeneity, and explore functional implications of genetic variation at the TLR1/6/10 locus. METHODS The dichotomous GWAS (25% individuals exhibiting highest anti-H pylori IgG titers vs remaining 75%) included discovery and replication sampls of, respectively, n = 15,685 and n = 9676, all of European ancestry. Longitudinal analysis of serologic data was performed on H pylori-eradicated subjects (n = 132) and patients under surveillance for premalignant gastric lesions (n = 107). TLR1/6/10 surface expression, TLR1 mRNA, and cytokine levels were measured in leukocyte subsets of healthy subjects (n = 26) genotyped for TLR1/6/10 variants. RESULTS The association of the TLR1/6/10 locus with anti-H pylori IgG titers (rs12233670; β = -0.267 ± SE 0.034; P = 4.42 × 10-15) presented with high heterogeneity and failed replication. Anti-H pylori IgG titers declined within 2-4 years after eradication treatment (P = 0.004), and decreased over time in patients with premalignant gastric lesions (P < 0.001). Variation at the TLR1/6/10 locus affected TLR1-mediated cytokine production and TLR1 surface expression on monocytes (P = 0.016) and neutrophils (P = 0.030), but not mRNA levels. CONCLUSIONS The association between anti-H pylori IgG titers and TLR1/6/10 locus was not replicated across cohorts, possibly owing to dependency of anti-H pylori IgG titers on therapy, clearance, and antibody decay. H pylori-mediated immune cell activation is partly mediated via TLR1 signaling, which in turn is affected by genetic variation.
Collapse
Affiliation(s)
- Suk Yee Lam
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Michiel C Mommersteeg
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Bingting Yu
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Linda Broer
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Manon C W Spaander
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Fabian Frost
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Stefan Weiss
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany; Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Markus M Lerch
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Yan Zhang
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Hannah Stocker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Daniel Levy
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Shih-Jen Hwang
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Russell P Tracy
- Laboratory for Clinical Biochemistry Research, University of Vermont College of Medicine, Colchester, Vermont, USA
| | | | - Marcis Leja
- Institute of Clinical and Preventive Medicine, Faculty of Medicine, University of Latvia, Riga, Latvia
| | - Janis Klovins
- Latvian Biomedical Research and Study Center, Riga, Latvia
| | - Raitis Peculis
- Latvian Biomedical Research and Study Center, Riga, Latvia
| | - Dace Rudzite
- Institute of Clinical and Preventive Medicine, Faculty of Medicine, University of Latvia, Riga, Latvia
| | | | - Girts Skenders
- Institute of Clinical and Preventive Medicine, Faculty of Medicine, University of Latvia, Riga, Latvia
| | - Vita Rovite
- Latvian Biomedical Research and Study Center, Riga, Latvia
| | - André Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ernst J Kuipers
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Gwenny M Fuhler
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Georg Homuth
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Maikel P Peppelenbosch
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, the Netherlands.
| |
Collapse
|
9
|
Djoussé L, Zhou G, McClelland RL, Ma N, Zhou X, Kabagambe EK, Talegawkar SA, Judd SE, Biggs ML, Fitzpatrick AL, Clark CR, Gagnon DR, Steffen LM, Gaziano JM, Lee IM, Buring JE, Manson JE. Egg consumption, overall diet quality, and risk of type 2 diabetes and coronary heart disease: A pooling project of US prospective cohorts. Clin Nutr 2021; 40:2475-2482. [PMID: 33932789 PMCID: PMC8564713 DOI: 10.1016/j.clnu.2021.03.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 01/25/2021] [Accepted: 03/02/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND AIMS Data on the relation of egg consumption with risk of type 2 diabetes (T2D) and coronary heart disease (CHD) are limited and inconsistent. Few studies have controlled for overall dietary patterns in egg-T2D or egg-CHD analyses, and it is unclear whether any observed elevated risks of T2D and CHD with frequent egg consumption is real or due to confounding by dietary habits. We tested the hypothesis that frequent egg consumption is associated with a higher risk of T2D and CHD risk after adjustment for overall dietary patterns among adults. DESIGN We used prospective cohort design to complete time-to-event analyses. METHODS We pooled de novo, harmonized, individual-level analyses from nine US cohorts (n = 103,811). Cox regression was used to estimate hazard ratios separately in each cohort adjusting for age, ethnicity, body mass index (BMI), exercise, smoking, alcohol intake, and dietary patterns. We pooled cohort-specific results using an inverse-variance weighted method to estimate summary relative risks. RESULTS Median age ranged from 25 to 72 years. Median egg consumption was 1 egg per week in most of the cohorts. While egg consumption up to one per week was not associated with T2D risk, consumption of ≥2 eggs per week was associated with elevated risk [27% elevated risk of T2D comparing 7+ eggs/week with none (95% CI: 16%-37%)]. There was little evidence for heterogeneity across cohorts and we observed similar conclusions when stratified by BMI. Overall, egg consumption was not associated with the risk of CHD. However, in a sensitivity analysis, there was a 30% higher risk of CHD (95% CI: 3%-56%) restricted to older adults consuming 5-6 eggs/week. CONCLUSIONS Our data showed an elevated risk of T2D with egg consumption of ≥2 eggs per week but not with <2 eggs/week. While there was no overall association of egg consumption with CHD risk, the elevated CHD observed with consumption of 5-6 eggs/week in older cohorts merits further investigation.
Collapse
Affiliation(s)
- Luc Djoussé
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Boston VA Healthcare System, Boston, MA, USA.
| | - Guohai Zhou
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Nanxun Ma
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Xia Zhou
- University of Minnesota School of Public Health Division of Epidemiology and Community, Health, Minneapolis, MN, USA
| | | | - Sameera A Talegawkar
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health at the George Washington University, Washington, DC, USA
| | | | - Mary L Biggs
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - Cheryl R Clark
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - David R Gagnon
- Boston VA Healthcare System, Boston, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Lyn M Steffen
- University of Minnesota School of Public Health Division of Epidemiology and Community, Health, Minneapolis, MN, USA
| | - J Michael Gaziano
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Boston VA Healthcare System, Boston, MA, USA
| | - I-Min Lee
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Julie E Buring
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| |
Collapse
|
10
|
Graff M, Justice AE, Young KL, Marouli E, Zhang X, Fine RS, Lim E, Buchanan V, Rand K, Feitosa MF, Wojczynski MK, Yanek LR, Shao Y, Rohde R, Adeyemo AA, Aldrich MC, Allison MA, Ambrosone CB, Ambs S, Amos C, Arnett DK, Atwood L, Bandera EV, Bartz T, Becker DM, Berndt SI, Bernstein L, Bielak LF, Blot WJ, Bottinger EP, Bowden DW, Bradfield JP, Brody JA, Broeckel U, Burke G, Cade BE, Cai Q, Caporaso N, Carlson C, Carpten J, Casey G, Chanock SJ, Chen G, Chen M, Chen YDI, Chen WM, Chesi A, Chiang CWK, Chu L, Coetzee GA, Conti DV, Cooper RS, Cushman M, Demerath E, Deming SL, Dimitrov L, Ding J, Diver WR, Duan Q, Evans MK, Falusi AG, Faul JD, Fornage M, Fox C, Freedman BI, Garcia M, Gillanders EM, Goodman P, Gottesman O, Grant SFA, Guo X, Hakonarson H, Haritunians T, Harris TB, Harris CC, Henderson BE, Hennis A, Hernandez DG, Hirschhorn JN, McNeill LH, Howard TD, Howard B, Hsing AW, Hsu YHH, Hu JJ, Huff CD, Huo D, Ingles SA, Irvin MR, John EM, Johnson KC, Jordan JM, Kabagambe EK, Kang SJ, Kardia SL, Keating BJ, Kittles RA, Klein EA, Kolb S, Kolonel LN, Kooperberg C, Kuller L, Kutlar A, Lange L, Langefeld CD, Le Marchand L, Leonard H, Lettre G, Levin AM, Li Y, Li J, Liu Y, Liu Y, Liu S, Lohman K, Lotay V, Lu Y, Maixner W, Manson JE, McKnight B, Meng Y, Monda KL, Monroe K, Moore JH, Mosley TH, Mudgal P, Murphy AB, Nadukuru R, Nalls MA, Nathanson KL, Nayak U, N'Diaye A, Nemesure B, Neslund-Dudas C, Neuhouser ML, Nyante S, Ochs-Balcom H, Ogundiran TO, Ogunniyi A, Ojengbede O, Okut H, Olopade OI, Olshan A, Padhukasahasram B, Palmer J, Palmer CD, Palmer ND, Papanicolaou G, Patel SR, Pettaway CA, Peyser PA, Press MF, Rao DC, Rasmussen-Torvik LJ, Redline S, Reiner AP, Rhie SK, Rodriguez-Gil JL, Rotimi CN, Rotter JI, Ruiz-Narvaez EA, Rybicki BA, Salako B, Sale MM, Sanderson M, Schadt E, Schreiner PJ, Schurmann C, Schwartz AG, Shriner DA, Signorello LB, Singleton AB, Siscovick DS, Smith JA, Smith S, Speliotes E, Spitz M, Stanford JL, Stevens VL, Stram A, Strom SS, Sucheston L, Sun YV, Tajuddin SM, Taylor H, Taylor K, Tayo BO, Thun MJ, Tucker MA, Vaidya D, Van Den Berg DJ, Vedantam S, Vitolins M, Wang Z, Ware EB, Wassertheil-Smoller S, Weir DR, Wiencke JK, Williams SM, Williams LK, Wilson JG, Witte JS, Wrensch M, Wu X, Yao J, Zakai N, Zanetti K, Zemel BS, Zhao W, Zhao JH, Zheng W, Zhi D, Zhou J, Zhu X, Ziegler RG, Zmuda J, Zonderman AB, Psaty BM, Borecki IB, Cupples LA, Liu CT, Haiman CA, Loos R, Ng MCY, North KE. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. Am J Hum Genet 2021; 108:564-582. [PMID: 33713608 PMCID: PMC8059339 DOI: 10.1016/j.ajhg.2021.02.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 02/09/2021] [Indexed: 01/21/2023] Open
Abstract
Although many loci have been associated with height in European ancestry populations, very few have been identified in African ancestry individuals. Furthermore, many of the known loci have yet to be generalized to and fine-mapped within a large-scale African ancestry sample. We performed sex-combined and sex-stratified meta-analyses in up to 52,764 individuals with height and genome-wide genotyping data from the African Ancestry Anthropometry Genetics Consortium (AAAGC). We additionally combined our African ancestry meta-analysis results with published European genome-wide association study (GWAS) data. In the African ancestry analyses, we identified three novel loci (SLC4A3, NCOA2, ECD/FAM149B1) in sex-combined results and two loci (CRB1, KLF6) in women only. In the African plus European sex-combined GWAS, we identified an additional three novel loci (RCCD1, G6PC3, CEP95) which were equally driven by AAAGC and European results. Among 39 genome-wide significant signals at known loci, conditioning index SNPs from European studies identified 20 secondary signals. Two of the 20 new secondary signals and none of the 8 novel loci had minor allele frequencies (MAF) < 5%. Of 802 known European height signals, 643 displayed directionally consistent associations with height, of which 205 were nominally significant (p < 0.05) in the African ancestry sex-combined sample. Furthermore, 148 of 241 loci contained ≤20 variants in the credible sets that jointly account for 99% of the posterior probability of driving the associations. In summary, trans-ethnic meta-analyses revealed novel signals and further improved fine-mapping of putative causal variants in loci shared between African and European ancestry populations.
Collapse
Affiliation(s)
- Mariaelisa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
| | - Anne E Justice
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Population Health Services, Geisinger Health, Danville, PA 17822, USA
| | - Kristin L Young
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Eirini Marouli
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK; Centre for Genomic Health, Life Sciences, Queen Mary University of London, London EC1M 6BQ, UK
| | - Xinruo Zhang
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - Elise Lim
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Victoria Buchanan
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Kristin Rand
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Lisa R Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Yaming Shao
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Rebecca Rohde
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Melinda C Aldrich
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Department of Thoracic Surgery, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Matthew A Allison
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA 92093, USA
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Christopher Amos
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Donna K Arnett
- School of Public Health, University of Kentucky, Lexington, KY 40563, USA
| | - Larry Atwood
- Framingham Heart Study, Boston University School of Medicine, Boston, MA 02118, USA
| | - Elisa V Bandera
- Department of Population Science, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Traci Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Diane M Becker
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Leslie Bernstein
- Division of Biomarkers of Early Detection and Prevention, Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; International Epidemiology Institute, Rockville, MD 20850, USA
| | - Erwin P Bottinger
- The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; Center for Diabetes Research, Wake Forest school of Medicine, Winston-Salem, NC 27157, USA
| | - Jonathan P Bradfield
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Ulrich Broeckel
- Department of Pediatrics, Section of Genomic Pediatrics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Gregory Burke
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Chris Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - John Carpten
- Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Graham Casey
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Minhui Chen
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Yii-Der I Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Wei-Min Chen
- Department of Public Health Sciences and Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Alessandra Chesi
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Charleston W K Chiang
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Lisa Chu
- Cancer Prevention Institute of California, Fremont, CA 94538, USA
| | - Gerry A Coetzee
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA; Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, LA 90033, USA
| | - David V Conti
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Richard S Cooper
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago Stritch School of Medicine, Maywood, IL 60153, USA
| | - Mary Cushman
- Department of Medicine, University of Vermont College of Medicine, Burlington, VT 05405, USA
| | - Ellen Demerath
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN 55455, USA
| | - Sandra L Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Latchezar Dimitrov
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Jingzhong Ding
- Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Qing Duan
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Michele K Evans
- Health Disparities Research Section, Clinical Research Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Adeyinka G Falusi
- Institute for Medical Research and Training, University of Ibadan, Ibadan, Nigeria
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Myriam Fornage
- Center for Human Genetics, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Caroline Fox
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; Framingham Heart Study, Framingham, MA 01702, USA; Division of Endocrinology and Metabolism, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Melissa Garcia
- National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Elizabeth M Gillanders
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD 20892, USA
| | - Phyllis Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Omri Gottesman
- The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Struan F A Grant
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Center for Spatial and Functional Genomics, The Children's Hospital of Philadelphia Research Institute, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Talin Haritunians
- Medical Genetics Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - Curtis C Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Brian E Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Anselm Hennis
- Department of Preventive Medicine, Stony Brook University, Stony Brook, NY 11794, USA; Chronic Disease Research Centre and Faculty of Medical Sciences, University of West Indies, Bridgetown, Barbados; Ministry of Health, Bridgetown, Barbados
| | - Dena G Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20814, USA
| | - Joel N Hirschhorn
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Lorna Haughton McNeill
- Department of Health Disparities Research, Division of OVP, Cancer Prevention and Population Sciences, and Center for Community Implementation and Dissemination Research, Duncan Family Institute, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Timothy D Howard
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | | | - Ann W Hsing
- Cancer Prevention Institute of California, Fremont, CA 94538, USA; Department of Medicine, Stanford Prevention Research Center and Cancer Institute, Stanford, CA 94305, USA
| | - Yu-Han H Hsu
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Jennifer J Hu
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Chad D Huff
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637, USA
| | - Sue A Ingles
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Esther M John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Karen C Johnson
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Joanne M Jordan
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Edmond K Kabagambe
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Sun J Kang
- Genetic Epidemiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sharon L Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Brendan J Keating
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Rick A Kittles
- Division of Health Equities, Department of Population Sciences, City of Hope Medical Center, Duarte, CA 91010, USA
| | - Eric A Klein
- Department of Urology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Suzanne Kolb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Laurence N Kolonel
- Epidemiology Program, Cancer Research Center, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Lewis Kuller
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Abdullah Kutlar
- Sickle Cell Center, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Leslie Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Loic Le Marchand
- Epidemiology Program, Cancer Research Center, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Hampton Leonard
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20814, USA; Data Tecnica Int'l, LLC, Glen Echo, MD 20812, USA
| | - Guillaume Lettre
- Montreal Heart Institute, Montréal, QC H1T 1C8, Canada; Department of Medicine, Université de Montréal, Montréal, QC H1T 1C8, Canada
| | - Albert M Levin
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI 48202, USA
| | - Yun Li
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jin Li
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701, USA
| | - Youfang Liu
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Simin Liu
- Department of Epidemiology, Brown University, Providence, RI 02912, USA
| | - Kurt Lohman
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Vaneet Lotay
- The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yingchang Lu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - William Maixner
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Barbara McKnight
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Yan Meng
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Keri L Monda
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; The Center for Observational Research, Amgen, Inc., Thousand Oaks, CA 91320, USA
| | - Kris Monroe
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Jason H Moore
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Poorva Mudgal
- Center for Diabetes Research, Wake Forest school of Medicine, Winston-Salem, NC 27157, USA
| | - Adam B Murphy
- Department of Urology, Northwestern University, Chicago, IL 60611, USA
| | - Rajiv Nadukuru
- The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20814, USA; Data Tecnica Int'l, LLC, Glen Echo, MD 20812, USA
| | | | - Uma Nayak
- Department of Public Health Sciences and Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | | | - Barbara Nemesure
- Department of Preventive Medicine, Stony Brook University, Stony Brook, NY 11794, USA
| | | | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Sarah Nyante
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Heather Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY 14214, USA
| | - Temidayo O Ogundiran
- Department of Surgery, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adesola Ogunniyi
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oladosu Ojengbede
- Centre for Population and Reproductive Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Hayrettin Okut
- Center for Diabetes Research, Wake Forest school of Medicine, Winston-Salem, NC 27157, USA
| | - Olufunmilayo I Olopade
- Center for Clinical Cancer Genetics and Global Health, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Andrew Olshan
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Badri Padhukasahasram
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, MI 48202, USA
| | - Julie Palmer
- Slone Epidemiology Center, Boston University School of Medicine, Boston, MA 02118, USA
| | - Cameron D Palmer
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA 02115, USA
| | - Nicholette D Palmer
- Department of Biochemistry, School of Medicine, Wake Forest University, Winston-Salem, NC 27157, USA
| | - George Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sanjay R Patel
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Curtis A Pettaway
- Department of Urology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Michael F Press
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - D C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Laura J Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Alex P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Suhn K Rhie
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Jorge L Rodriguez-Gil
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Edward A Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Benjamin A Rybicki
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI 48202, USA
| | - Babatunde Salako
- Centre for Population and Reproductive Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Michele M Sale
- Department of Public Health Sciences and Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Maureen Sanderson
- Department of Family and Community Medicine, Meharry Medical College, Nashville, TN 37208, USA
| | - Eric Schadt
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN 55455, USA
| | - Claudia Schurmann
- The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ann G Schwartz
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI 48201, USA; Karmanos Cancer Institute, Detroit, MI 48201, USA
| | - Daniel A Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Lisa B Signorello
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; International Epidemiology Institute, Rockville, MD 20850, USA
| | - Andrew B Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20814, USA
| | | | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Shad Smith
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Elizabeth Speliotes
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Margaret Spitz
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA 98195, USA
| | - Victoria L Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Alex Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Sara S Strom
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lara Sucheston
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Yan V Sun
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Salman M Tajuddin
- National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Herman Taylor
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Kira Taylor
- Department of Epidemiology and Population Health, School of Public Health and Information Sciences, University of Louisville, Louisville, KY 40202, USA
| | - Bamidele O Tayo
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago Stritch School of Medicine, Maywood, IL 60153, USA
| | - Michael J Thun
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Margaret A Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Dhananjay Vaidya
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - David J Van Den Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Sailaja Vedantam
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA 02115, USA
| | - Mara Vitolins
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Zhaoming Wang
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Erin B Ware
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - John K Wiencke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Scott M Williams
- Departments of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
| | - L Keoki Williams
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, MI 48202, USA; Department of Internal Medicine, Henry Ford Health System, Detroit, MI 48202, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - John S Witte
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Urology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Margaret Wrensch
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Xifeng Wu
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Neil Zakai
- Department of Medicine, University of Vermont College of Medicine, Burlington, VT 05405, USA
| | - Krista Zanetti
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD 20892, USA
| | - Babette S Zemel
- Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA; Division of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA 19146, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Degui Zhi
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jie Zhou
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Xiaofeng Zhu
- Departments of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Joe Zmuda
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Ingrid B Borecki
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA; BioData Catalyst Program, National Heart, Lung, and Blood Institute, Bethesda, MD 20892, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA; Framingham Heart Study, Boston University School of Medicine, Boston, MA 02118, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Ruth Loos
- The Charles R. Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Mindich Child Health Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; Center for Diabetes Research, Wake Forest school of Medicine, Winston-Salem, NC 27157, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| |
Collapse
|
11
|
Sarkar S, Lipworth L, Kabagambe EK, Bian A, Stewart TG, Blot WJ, Ikizler TA, Hung AM. A Description of Risk Factors for Non-alcoholic Fatty Liver Disease in the Southern Community Cohort Study: A Nested Case-Control Study. Front Nutr 2020; 7:71. [PMID: 32671089 PMCID: PMC7326146 DOI: 10.3389/fnut.2020.00071] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 04/24/2020] [Indexed: 01/01/2023] Open
Abstract
Background: Non-alcoholic fatty liver disease (NAFLD) is associated with obesity and hypercholesterolemia. In addition, total fat and folate intake have been associated with NAFLD. Aims: We investigated risk factors for NAFLD among individuals of largely low socioeconomic status, and whether these associations differed by race. Methods: A nested case-control study was conducted within the Southern Community Cohort Study. Through linkage of the cohort with Centers for Medicare and Medicaid Services, International Classification of Diseases, Ninth Revision, Clinical Modification codes were used to identify incident NAFLD cases. Controls were matched 4:1 to cases on enrollment age, sex, and race. A logistic regression was used to estimate odds ratios for the associations of NAFLD with covariates of interest. Results: Neither total fat nor folate intake was significantly associated with NAFLD. Hypercholesterolemia (odds ratio 1.21) and body mass index (75th vs. 25th percentile) for blacks (odds ratio 1.96) and whites (odds ratio 2.33) were associated with an increased risk of non-alcoholic fatty liver disease. No significant interaction with race for any of the studied variables was noted. Conclusions: Both hypercholesterolemia and increasing body mass index, but not total fat and folate intake, were risk factors for NAFLD in the Southern Community Cohort Study.
Collapse
Affiliation(s)
- Sudipa Sarkar
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Loren Lipworth
- Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, United States.,Vanderbilt Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Edmond K Kabagambe
- Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, United States.,Vanderbilt Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Aihua Bian
- Vanderbilt Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, United States.,Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Thomas G Stewart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - William J Blot
- Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, United States.,International Epidemiology Institute, Rockville, MD, United States
| | - T Alp Ikizler
- Vanderbilt Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, United States.,Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Adriana M Hung
- Vanderbilt Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, United States.,Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| |
Collapse
|
12
|
Liu Y, Smith CE, Parnell LD, Lee YC, An P, Straka RJ, Tiwari HK, Wood AC, Kabagambe EK, Hidalgo B, Hopkins PN, Province MA, Arnett DK, Tucker KL, Ordovas JM, Lai CQ. Salivary AMY1 Copy Number Variation Modifies Age-Related Type 2 Diabetes Risk. Clin Chem 2020; 66:718-726. [PMID: 32337541 PMCID: PMC7192522 DOI: 10.1093/clinchem/hvaa072] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 02/28/2020] [Indexed: 11/12/2022]
Abstract
BACKGROUND Copy number variation (CNV) in the salivary amylase gene (AMY1) modulates salivary α-amylase levels and is associated with postprandial glycemic traits. Whether AMY1-CNV plays a role in age-mediated change in insulin resistance (IR) is uncertain. METHODS We measured AMY1-CNV using duplex quantitative real-time polymerase chain reaction in two studies, the Boston Puerto Rican Health Study (BPRHS, n = 749) and the Genetics of Lipid-Lowering Drug and Diet Network study (GOLDN, n = 980), and plasma metabolomic profiles in the BPRHS. We examined the interaction between AMY1-CNV and age by assessing the relationship between age with glycemic traits and type 2 diabetes (T2D) according to high or low copy numbers of the AMY1 gene. Furthermore, we investigated associations between metabolites and interacting effects of AMY1-CNV and age on T2D risk. RESULTS We found positive associations of IR with age among subjects with low AMY1-copy-numbers in both studies. T2D was marginally correlated with age in participants with low AMY1-copy-numbers but not with high AMY1-copy-numbers in the BPRHS. Metabolic pathway enrichment analysis identified the pentose metabolic pathway based on metabolites that were associated with both IR and the interactions between AMY1-CNV and age. Moreover, in older participants, high AMY1-copy-numbers tended to be associated with lower levels of ribonic acid, erythronic acid, and arabinonic acid, all of which were positively associated with IR. CONCLUSIONS We found evidence supporting a role of AMY1-CNV in modifying the relationship between age and IR. Individuals with low AMY1-copy-numbers tend to have increased IR with advancing age.
Collapse
Affiliation(s)
- Yuwei Liu
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
- School of Public Health, Fudan University, Shanghai, China
| | - Caren E Smith
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
| | - Laurence D Parnell
- USDA Agricultural Research Service, Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
| | - Yu-Chi Lee
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
| | - Ping An
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Robert J Straka
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN
| | - Hemant K Tiwari
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL
| | - Alexis C Wood
- USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX
| | | | - Bertha Hidalgo
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL
| | - Paul N Hopkins
- Division of Cardiovascular Medicine, University of Utah, Salt Lake City, UT
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Donna K Arnett
- College of Public Health, University of Kentucky, Lexington, KY
| | - Katherine L Tucker
- Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell, Lowell, MA
| | - Jose M Ordovas
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
- IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Chao-Qiang Lai
- USDA Agricultural Research Service, Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
| |
Collapse
|
13
|
Patel PN, Kabagambe EK, Starkweather JC, Keller M, Gamsarian V, Lee J, Kulkarni V, Garrett CG, Francis DO. Outcomes of Onabotulinum Toxin A Treatment for Adductor Spasmodic Dysphonia and Laryngeal Tremor. JAMA Otolaryngol Head Neck Surg 2019; 144:293-299. [PMID: 29423509 DOI: 10.1001/jamaoto.2017.3088] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Importance The relative outcomes of onabotulinum toxin A injections for treatment of adductor spasmodic dysphonia (ADSD), ADSD with lateral laryngeal tremor (ADSD+LT), and lateral LT without ADSD are unclear. Objective To compare the outcomes of onabotulinum toxin A treatment on ADSD, ADSD+LT, and lateral LT without ADSD. Design, Setting, and Participants A retrospective cohort study was conducted from January 1, 1990, to September 30, 2016, at a tertiary referral voice center. Participants included 817 patients treated with onabotulinum toxin A injections for diagnosis of ADSD, ADSD+LT, and lateral LT without ADSD. Exposure Injection of onabotulinum toxin A into the thyroarytenoid/lateral cricoarytenoid muscle complex. Main Outcomes and Measures Data from patient diaries were used to evaluate patient-perceived effectiveness of onabotulinum toxin A injection. Primary outcomes were (1) patient-reported good voice days (voice breaks or tremor minimized to patient satisfaction) and (2) percentage of injections in which maximal voice quality was reached (significant or complete reduction in vocal tremor or spasms during a treatment cycle). Multivariate analysis of variance tests compared differences in outcomes between groups. Subanalysis was performed to compare outcomes in patients with isolated LT with those who had mixed tremor (lateral with concomitant anterior-posterior and/or vertical components). Results Of 817 patients treated with onabotulinum toxin A injections for laryngeal movement disorders, 548 patients (12 771 injection sessions) met inclusion criteria (ADSD: n = 328, ADSD+LT: n = 77, lateral LT without ADSD: n = 143). Of these, 408 (80.8%) were women; mean (SD) age was 57.2 (13.7) years. Among patients with tremor, those with isolated LT had better outcomes than those with mixed tremor. In adjusted analysis, good voice days in patients with ADSD, ADSD+LT, and lateral LT without ADSD were 81.1, 75.4, and 71.3 days, respectively (partial η2, 0.05; 95% CI, 0.01-0.09). The percentage of maximally beneficial injections was 88.1% for ADSD, 83.4% for ADSD+LT, and 70.4% for LT without ADSD (partial η2, 0.12; 95% CI, 0.06-0.17). Conclusions and Relevance Onabotulinum toxin A injections into the thyroarytenoid/lateral cricoarytenoid muscle complex are an effective treatment for ADSD, ADSD+LT, and LT without ADSD; however, the greatest effectiveness was observed among patients with ADSD. Defining tremor directionality may help to prognosticate the effectiveness of onabotulinum toxin A injection among patients presenting with tremor components.
Collapse
Affiliation(s)
- Priyesh N Patel
- Vanderbilt Voice Center, Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Edmond K Kabagambe
- Vanderbilt Voice Center, Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, Tennessee.,Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jennifer C Starkweather
- Vanderbilt Voice Center, Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Matthew Keller
- Saint Louis University School of Medicine, St Louis, Missouri
| | | | - Jane Lee
- Vanderbilt University, Nashville, Tennessee
| | | | - C Gaelyn Garrett
- Vanderbilt Voice Center, Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - David O Francis
- Otolaryngology, Department of Surgery, Wisconsin Surgical Outcomes Research, University of Wisconsin, Madison
| |
Collapse
|
14
|
Bock F, Stewart TG, Robinson-Cohen C, Morse J, Kabagambe EK, Cavanaugh KL, Birdwell KA, Hung AM, Abdel-Kader K, Siew ED, Akwo EA, Blot WJ, Ikizler TA, Lipworth L. Racial disparities in end-stage renal disease in a high-risk population: the Southern Community Cohort Study. BMC Nephrol 2019; 20:308. [PMID: 31390993 PMCID: PMC6686512 DOI: 10.1186/s12882-019-1502-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 07/29/2019] [Indexed: 12/31/2022] Open
Abstract
Introduction The Southern Community Cohort Study is a prospective study of low socioeconomic status (SES) blacks and whites from the southeastern US, where the burden of end-stage renal disease (ESRD) and its risk factors are high. We tested whether the 2.4-fold elevated risk of ESRD we previously observed in blacks compared to whites was explained by differences in baseline kidney function. Methods We conducted a case-cohort study of incident ESRD cases (n = 737) with stored blood and a probability sampled subcohort (n = 4238) and calculated estimated glomerular filtration rate (eGFR) from serum creatinine. 86% of participants were enrolled from community health centers in medically underserved areas and 14% from the general population in 12 states in the southeastern United States. Incident ESRD after entry into the cohort was ascertained by linkage of the cohort with the US Renal Data System (USRDS). Results Median (25th, 75th percentile) eGFR at baseline was 63.3 (36.0, 98.2) ml/min/1.73m2 for ESRD cases and 103.2 (86.0, 117.9) for subcohort. Black ESRD cases had higher median (25th, 75th) eGFR [63.3 (35.9, 95.9)] compared to whites [59.1 (39.4, 99.2)]. In multivariable Cox models accounting for sampling weights, baseline eGFR was a strong predictor of ESRD risk, and an interaction with race was detected (P = 0.029). The higher ESRD risk among blacks relative to whites persisted (hazard ratio: 2.58; 95% confidence interval: 1.65, 4.03) after adjustment for eGFR. Conclusion In this predominantly lower SES cohort, the racial disparity in ESRD risk is not explained by differences in baseline kidney function. Electronic supplementary material The online version of this article (10.1186/s12882-019-1502-z) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Fabian Bock
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt-O'Brien Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Thomas G Stewart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Cassianne Robinson-Cohen
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt-O'Brien Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer Morse
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Edmond K Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, 2525 West End Ave, Ste 600, Nashville, TN, 37203, USA
| | - Kerri L Cavanaugh
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt-O'Brien Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kelly A Birdwell
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt-O'Brien Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adriana M Hung
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt-O'Brien Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Khaled Abdel-Kader
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt-O'Brien Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Edward D Siew
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt-O'Brien Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Elvis A Akwo
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt-O'Brien Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, USA
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, 2525 West End Ave, Ste 600, Nashville, TN, 37203, USA
| | - T Alp Ikizler
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt-O'Brien Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Loren Lipworth
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, 2525 West End Ave, Ste 600, Nashville, TN, 37203, USA. .,Vanderbilt-O'Brien Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, USA.
| |
Collapse
|
15
|
Akwo EA, Kabagambe EK, Harrell FE, Blot WJ, Bachmann JM, Wang TJ, Gupta DK, Lipworth L. Neighborhood Deprivation Predicts Heart Failure Risk in a Low-Income Population of Blacks and Whites in the Southeastern United States. Circ Cardiovasc Qual Outcomes 2019; 11:e004052. [PMID: 29317456 DOI: 10.1161/circoutcomes.117.004052] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Accepted: 11/27/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND Recent data suggest that neighborhood socioeconomic environment predicts heart failure (HF) hospital readmissions. We investigated whether neighborhood deprivation predicts risk of incident HF beyond individual socioeconomic status in a low-income population. METHODS AND RESULTS Participants were 27 078 whites and blacks recruited during 2002 to 2009 in the SCCS (Southern Community Cohort Study), who had no history of HF and were using Centers for Medicare or Medicaid Services. Incident HF diagnoses through December 31, 2010, were ascertained using International Classification of Diseases, Ninth Revision, codes 428.x via linkage with Centers for Medicare or Medicaid Services research files. Participant residential information was geocoded and census tract determined by a spatial join to the US Census Bureau TIGER/Line Shapefiles. The neighborhood deprivation index was constructed using principal components analysis based on census tract-level socioeconomic variables. Cox models with Huber-White cluster sandwich estimator of variance were used to investigate the association between neighborhood deprivation index and HF risk. The study sample was predominantly middle aged (mean, 55.5 years), black (69%), female (63%), low income (70% earned <$15 000/y), and >50% of participants lived in the most deprived neighborhoods (third neighborhood deprivation index tertile). Over median follow-up of 5.2 years, 4300 participants were diagnosed with HF. After adjustment for demographic, lifestyle, and clinical factors, a 1 interquartile increase in neighborhood deprivation index was associated with a 12% increase in risk of HF (hazard ratio, 1.12; 95% confidence interval, 1.07-1.18), and 4.8% of the variance in HF risk (intraclass correlation coefficient, 4.8; 95% confidence interval, 3.6-6.4) was explained by neighborhood deprivation. CONCLUSIONS In this low-income population, scant neighborhood resources compound the risk of HF above and beyond individual socioeconomic status and traditional cardiovascular risk factors. Improvements in community resources may be a significant axis for curbing the burden of HF.
Collapse
Affiliation(s)
- Elvis A Akwo
- From the Division of Epidemiology, Department of Medicine (E.A.A., E.K.K., W.J.B., L.L.), Department of Biostatistics (F.E.H.), Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt Heart and Vascular Institute (J.M.B., T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., F.E.H., J.M.B., T.J.W., D.K.G., L.L.), Vanderbilt University School of Medicine, Nashville, TN
| | - Edmond K Kabagambe
- From the Division of Epidemiology, Department of Medicine (E.A.A., E.K.K., W.J.B., L.L.), Department of Biostatistics (F.E.H.), Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt Heart and Vascular Institute (J.M.B., T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., F.E.H., J.M.B., T.J.W., D.K.G., L.L.), Vanderbilt University School of Medicine, Nashville, TN
| | - Frank E Harrell
- From the Division of Epidemiology, Department of Medicine (E.A.A., E.K.K., W.J.B., L.L.), Department of Biostatistics (F.E.H.), Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt Heart and Vascular Institute (J.M.B., T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., F.E.H., J.M.B., T.J.W., D.K.G., L.L.), Vanderbilt University School of Medicine, Nashville, TN
| | - William J Blot
- From the Division of Epidemiology, Department of Medicine (E.A.A., E.K.K., W.J.B., L.L.), Department of Biostatistics (F.E.H.), Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt Heart and Vascular Institute (J.M.B., T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., F.E.H., J.M.B., T.J.W., D.K.G., L.L.), Vanderbilt University School of Medicine, Nashville, TN
| | - Justin M Bachmann
- From the Division of Epidemiology, Department of Medicine (E.A.A., E.K.K., W.J.B., L.L.), Department of Biostatistics (F.E.H.), Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt Heart and Vascular Institute (J.M.B., T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., F.E.H., J.M.B., T.J.W., D.K.G., L.L.), Vanderbilt University School of Medicine, Nashville, TN
| | - Thomas J Wang
- From the Division of Epidemiology, Department of Medicine (E.A.A., E.K.K., W.J.B., L.L.), Department of Biostatistics (F.E.H.), Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt Heart and Vascular Institute (J.M.B., T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., F.E.H., J.M.B., T.J.W., D.K.G., L.L.), Vanderbilt University School of Medicine, Nashville, TN
| | - Deepak K Gupta
- From the Division of Epidemiology, Department of Medicine (E.A.A., E.K.K., W.J.B., L.L.), Department of Biostatistics (F.E.H.), Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt Heart and Vascular Institute (J.M.B., T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., F.E.H., J.M.B., T.J.W., D.K.G., L.L.), Vanderbilt University School of Medicine, Nashville, TN
| | - Loren Lipworth
- From the Division of Epidemiology, Department of Medicine (E.A.A., E.K.K., W.J.B., L.L.), Department of Biostatistics (F.E.H.), Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt Heart and Vascular Institute (J.M.B., T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., F.E.H., J.M.B., T.J.W., D.K.G., L.L.), Vanderbilt University School of Medicine, Nashville, TN.
| |
Collapse
|
16
|
Patel PN, Kabagambe EK, Starkweather JC, Keller M, Ahmed ZA, Gruber SC, Akins JS, Garrett CG, Francis DO. Defining differences in patient characteristics between spasmodic dysphonia and laryngeal tremor. Laryngoscope 2018; 129:170-176. [PMID: 30426500 DOI: 10.1002/lary.27245] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 03/10/2018] [Accepted: 03/26/2018] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To compare presenting characteristics of patients with adductor spasmodic dysphonia (ADSD), ADSD with laryngeal tremor (ADSD + LT), and laryngeal tremor without ADSD (LT). DESIGN Cross-sectional analysis. METHODS Patients treated for laryngeal movement disorders (1990-2016) were included. Analysis of variance and chi square tests measured differences in patient characteristics across the three disease groups. Using ADSD as the referent, multivariable logistic regression models were used to determine whether potential risk factors including patient demographics, family history, presence of potential inciting events prior to disease onset, and coprevalent movement disorders were associated with ADSD + LT or LT. RESULTS In all, 652 patients with ADSD (n = 377), ADSD + LT (n = 98), and LT (n = 177) were included. ADSD patients were significantly younger than those with ADSD + LT and LT (52.5 ± 13.4, 63.9 ± 11.3, and 69.3 ± 10.5 years, respectively; P < 0.001). Coprevalent movement disorders were more common in ADSD + LT (38.7%) and LT (57.1%) groups than in the ADSD group (11.5%; P < 0.001). Compared to ADSD, patients with ADSD + LT and LT were more likely to develop an additional movement disorder during follow-up. In multivariable analyses, increasing age, female gender, and having a movement disorder at presentation were associated with significantly greater odds of having ADSD + LT or LT when compared to ADSD. CONCLUSION ADSD + LT patients demonstrate intermediate gender composition and age distributions between those with ADSD and LT. These findings suggest that ADSD + LT may be a distinct phenotype in the spectrum of laryngeal movement disorders. LEVEL OF EVIDENCE 4 Laryngoscope, 129:170-176, 2019.
Collapse
Affiliation(s)
- Priyesh N Patel
- Vanderbilt Voice Center, Department of Otolaryngology, Nashville, Tennessee
| | - Edmond K Kabagambe
- Vanderbilt Voice Center, Department of Otolaryngology, Nashville, Tennessee.,Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Matthew Keller
- Saint Louis University School of Medicine, St. Louis, Missouri
| | | | | | | | - C Gaelyn Garrett
- Vanderbilt Voice Center, Department of Otolaryngology, Nashville, Tennessee
| | - David O Francis
- Division of Otolaryngology, Wisconsin Surgical Outcomes Research, Department of Surgery, University of Wisconsin, Madison, Wisconsin, U.S.A
| |
Collapse
|
17
|
Katsantonis NG, Kabagambe EK, Wootten CT, Ely EW, Francis DO, Gelbard A. Height is an independent risk factor for postintubation laryngeal injury. Laryngoscope 2018; 128:2811-2814. [PMID: 30325034 DOI: 10.1002/lary.27237] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 03/20/2018] [Accepted: 03/22/2018] [Indexed: 11/11/2022]
Abstract
OBJECTIVES/HYPOTHESIS Intubation is an essential component of intensive care, yet it does have potential complications. Posterior glottic stenosis (PGS) is among the most severe sequela. Risk factors are poorly understood. One hypothesis is that large endotracheal tubes (ETTs) in smaller airways may increase risk. Because tracheal diameter is proportional to height, we designed a case-control study to evaluate the association between intensive care unit (ICU)-patient height (proxy for tracheal diameter) and their risk of postintubation PGS. STUDY DESIGN Retrospective case-control study METHODS: Among patients who underwent intubation in an ICU at a single tertiary care medical center between 2001 and 2015, a convenience sample of all patients with confirmed PGS (cases) were enrolled. Cases were matched 1:1 by age, sex, and race with intubated non-PGS controls chosen from the same population of ventilated patients. Data on height, weight, comorbidities, size of ETT, and duration of intubation were abstracted from the medical record. Multivariate models were used to test the association between patient height and risk of PGS development. RESULTS In all, 106 PGS cases (mean age 48.9 years, 50.7% female, 79.2% Caucasian) were identified; 77 met inclusion criteria. Compared to matched controls, cases were significantly shorter (mean 166 cm vs. 173 cm, P = .001). Height and PGS showed an inverse relationship in multivariate models. Specifically, odds of PGS decreased 9% (95% confidence interval: 0.01%-16%) for each centimeter increase in height. CONCLUSIONS Shorter height is independently associated with increased odds of having PGS. Further work should consider whether height should be incorporated into ETT selection algorithms. LEVEL OF EVIDENCE 3b Laryngoscope, 128:2811-2814, 2018.
Collapse
Affiliation(s)
| | - Edmond K Kabagambe
- Department of Otolaryngology Head and Neck Surgery, Nashville, Tennessee.,Division of Epidemiology, Department of Medicine, Nashville, Tennessee
| | | | - E Wesley Ely
- Veteran's Affairs Geriatric Research Education Clinical Center for Tennessee Valley, Nashville, Tennessee.,Division of Pulmonary and Critical Care, Department of Medicine , Vanderbilt University Medical Center, Nashville, Tennessee
| | - David O Francis
- Division of Otolaryngology, Department of Surgery , University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, U.S.A
| | - Alexander Gelbard
- Department of Otolaryngology Head and Neck Surgery, Nashville, Tennessee
| |
Collapse
|
18
|
Xiangzhu Z, Wu L, Fan L, Kabagambe EK, Song Y, Tao M, Zhong X, Hou L, Shrubsole MJ, Liu J, Dai Q. Abstract 4258: Magnesium intake and mortality due to liver cancer and other liver diseases: Results from the Third National Health and Nutrition Examination Survey Cohort. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-4258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
People with fatty liver disease are at high risk of magnesium deficiency. Meanwhile, low magnesium status is linked to both chronic inflammation and insulin resistance. However, no study has investigated the association between intake of magnesium and risk of mortality due to liver cancer and other liver diseases. We evaluated the association between total magnesium intake and mortality due to liver cancer and other liver diseases in the Third National Health and Nutrition Examination Study (NHANES III) cohort, which included 13,504 participants who completed liver ultrasound examination for hepatic steatosis. Overall magnesium intake was associated with a reduced risk of mortality due to liver cancer and other liver disease at borderline significance (P=0.05). In multi-variable adjusted models, every 100 mg increase in intake of magnesium was associated with a 49% reduction in the risk for mortality due to liver cancer and other liver diseases. Although interactions between magnesium intake and alcohol use and hepatic steatosis at baseline were not significant (P>0.05), inverse associations between magnesium intake with liver cancer and other liver disease mortality were stronger among alcohol drinkers and those with hepatic steatosis. Our novel findings suggest higher intakes of magnesium may be associated with a reduced risk of mortality due to liver cancer and other liver disease particularly among alcohol drinkers and those with hepatic steatosis. Further studies are warranted to confirm the findings.
Citation Format: Zhu Xiangzhu, Lijun Wu, Lei Fan, Edmond K Kabagambe, Yiqing Song, Menghua Tao, Xiaosong Zhong, Lifang Hou, Martha J. Shrubsole, Jie Liu, Qi Dai. Magnesium intake and mortality due to liver cancer and other liver diseases: Results from the Third National Health and Nutrition Examination Survey Cohort [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4258.
Collapse
Affiliation(s)
- Zhu Xiangzhu
- 1Vanderbilt University Medical Center, Nashville, TN
| | - Lijun Wu
- 2Fudan University, Shanghai, China
| | - Lei Fan
- 3Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | | | | | - Menghua Tao
- 5University of North Texas Health Science Center, Fort Worth, TX
| | | | | | | | - Jie Liu
- 2Fudan University, Shanghai, China
| | - Qi Dai
- 1Vanderbilt University Medical Center, Nashville, TN
| |
Collapse
|
19
|
Malhotra R, Lipworth L, Cavanaugh KL, Young BA, Tucker KL, Carithers TC, Taylor HA, Correa A, Kabagambe EK, Ikizler TA. Protein Intake and Long-term Change in Glomerular Filtration Rate in the Jackson Heart Study. J Ren Nutr 2018; 28:245-250. [DOI: 10.1053/j.jrn.2017.11.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 11/23/2017] [Accepted: 11/28/2017] [Indexed: 11/11/2022] Open
|
20
|
Hsi RS, Kabagambe EK, Shu X, Han X, Miller NL, Lipworth L. Race- and Sex-related Differences in Nephrolithiasis Risk Among Blacks and Whites in the Southern Community Cohort Study. Urology 2018; 118:36-42. [PMID: 29753847 DOI: 10.1016/j.urology.2018.04.036] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 04/13/2018] [Accepted: 04/29/2018] [Indexed: 01/29/2023]
Abstract
OBJECTIVE To investigate race-sex associations with risk among whites and blacks in the southeastern United States. The relationship between race, sex, and kidney stone risk is poorly understood. METHODS Participants were 42,136 black and white adults enrolled in the Southern Community Cohort Study between 2002 and 2009, with no history of kidney stones and receiving Medicare or Medicaid services. Incident kidney stone diagnoses through December 2014 were determined via linkage with Centers for Medicare and Medicaid Services research files. Hazard ratios (HRs) for associations with race and sex were computed from multivariable Cox proportional hazards models adjusting for baseline characteristics, comorbid diseases, and dietary intakes. RESULTS During 116,931 and 270,917 person-years of follow-up for whites and blacks, respectively, age-adjusted incidence rates (95% confidence interval [CI]) were 5.98 (4.73-7.23) and 4.50 (3.86-5.14) per 1000 person-years for white men and women, respectively, while corresponding rates among blacks were 2.19 (1.71-2.67) and 2.47 (2.19-2.75) per 1000 person-years. Risk was higher among whites compared to blacks (HR = 2.23, 95% CI 1.97-2.53). Male sex was significantly associated with risk among whites (HR = 1.45, 95% CI 1.20-1.75), but not among blacks (HR = 0.90, 95% CI 0.75-1.07). Formal tests of interaction by race and sex were statistically significant for all models (P = .01 for fully adjusted model). CONCLUSION The association of incident kidney stones with sex differs between whites and blacks. White men have the highest risk, while no difference in risk is observed between black men and women.
Collapse
Affiliation(s)
- Ryan S Hsi
- Department of Urologic Surgery, Vanderbilt University Medical Center, Nashville, TN.
| | - Edmond K Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Xiang Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Xijing Han
- International Epidemiology Institute, Rockville, MD
| | - Nicole L Miller
- Department of Urologic Surgery, Vanderbilt University Medical Center, Nashville, TN
| | - Loren Lipworth
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Vanderbilt O'Brien Center for Kidney Disease, Division of Nephrology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| |
Collapse
|
21
|
de Oliveira Otto MC, Lemaitre RN, Sun Q, King IB, Wu JHY, Manichaikul A, Rich SS, Tsai MY, Chen YD, Fornage M, Weihua G, Aslibekyan S, Irvin MR, Kabagambe EK, Arnett DK, Jensen MK, McKnight B, Psaty BM, Steffen LM, Smith CE, Risérus U, Lind L, Hu FB, Rimm EB, Siscovick DS, Mozaffarian D. Genome-wide association meta-analysis of circulating odd-numbered chain saturated fatty acids: Results from the CHARGE Consortium. PLoS One 2018; 13:e0196951. [PMID: 29738550 PMCID: PMC5940220 DOI: 10.1371/journal.pone.0196951] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 04/23/2018] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Odd-numbered chain saturated fatty acids (OCSFA) have been associated with potential health benefits. Although some OCSFA (e.g., C15:0 and C17:0) are found in meats and dairy products, sources and metabolism of C19:0 and C23:0 are relatively unknown, and the influence of non-dietary determinants, including genetic factors, on circulating levels of OCSFA is not established. OBJECTIVE To elucidate the biological processes that influence circulating levels of OCSFA by investigating associations between genetic variation and OCSFA. DESIGN We performed a meta-analysis of genome-wide association studies (GWAS) of plasma phospholipid/erythrocyte levels of C15:0, C17:0, C19:0, and C23:0 among 11,494 individuals of European descent. We also investigated relationships between specific single nucleotide polymorphisms (SNPs) in the lactase (LCT) gene, associated with adult-onset lactase intolerance, with circulating levels of dairy-derived OCSFA, and evaluated associations of candidate sphingolipid genes with C23:0 levels. RESULTS We found no genome-wide significant evidence that common genetic variation is associated with circulating levels of C15:0 or C23:0. In two cohorts with available data, we identified one intronic SNP (rs13361131) in myosin X gene (MYO10) associated with C17:0 level (P = 1.37×10-8), and two intronic SNP (rs12874278 and rs17363566) in deleted in lymphocytic leukemia 1 (DLEU1) region associated with C19:0 level (P = 7.07×10-9). In contrast, when using a candidate-gene approach, we found evidence that three SNPs in LCT (rs11884924, rs16832067, and rs3816088) are associated with circulating C17:0 level (adjusted P = 4×10-2). In addition, nine SNPs in the ceramide synthase 4 (CERS4) region were associated with circulating C23:0 levels (adjusted P<5×10-2). CONCLUSIONS Our findings suggest that circulating levels of OCSFA may be predominantly influenced by non-genetic factors. SNPs associated with C17:0 level in the LCT gene may reflect genetic influence in dairy consumption or in metabolism of dairy foods. SNPs associated with C23:0 may reflect a role of genetic factors in the synthesis of sphingomyelin.
Collapse
Affiliation(s)
- Marcia C. de Oliveira Otto
- Division of Epidemiology, Human Genetics and Environmental Sciences, the University of Texas Health Science Center, School of Public Health, Houston, TX, United States of America
| | - Rozenn N. Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States of America
| | - Qi Sun
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health and Channing Division of Network Medicine, and Harvard Medical School, Boston, MA, United States of America
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Irena B. King
- University of New Mexico, Albuquerque, NM, United States of America
| | - Jason H. Y. Wu
- The George Institute for Global Health and the Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, United States of America
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, United States of America
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States of America
| | - Y. D. Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor, UCLA Medical Center, Torrance, CA, United States of America
| | - Myriam Fornage
- Key Laboratory of Nutrition and Metabolism, the University of Texas Health Science Center, School of Public Health, Houston, TX, United States of America
| | - Guan Weihua
- Department of Biostatistics, University of Minnesota, Minneapolis, MN, United States of America
| | - Stella Aslibekyan
- College of Public Health, University of Kentucky, Lexington, KY, United States of America
| | - Marguerite R. Irvin
- College of Public Health, University of Kentucky, Lexington, KY, United States of America
| | - Edmond K. Kabagambe
- College of Public Health, University of Kentucky, Lexington, KY, United States of America
| | - Donna K. Arnett
- College of Public Health, University of Kentucky, Lexington, KY, United States of America
| | - Majken K. Jensen
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston MA, United States of America
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States of America
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America
| | - Lyn M. Steffen
- School of Public Health, Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Caren E. Smith
- Nutrition and Genomics Laboratory, Jean Mayer USDA HNRCA at Tufts University, Boston, MA, United States of America
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Frank B. Hu
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health and Channing Division of Network Medicine, and Harvard Medical School, Boston, MA, United States of America
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Eric B. Rimm
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health and Channing Division of Network Medicine, and Harvard Medical School, Boston, MA, United States of America
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
| | - David S. Siscovick
- The New York Academy of Medicine, New York, NY, United States of America
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States of America
| |
Collapse
|
22
|
Kabagambe EK, Lipworth L, Labadie RF, Hood LJ, Francis DO. Erythrocyte folate, serum vitamin B12, and hearing loss in the 2003-2004 National Health And Nutrition Examination Survey (NHANES). Eur J Clin Nutr 2018; 72:720-727. [PMID: 29379142 PMCID: PMC5948125 DOI: 10.1038/s41430-018-0101-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 12/04/2017] [Accepted: 12/05/2017] [Indexed: 12/17/2022]
Abstract
BACKGROUND/OBJECTIVES Studies based on food frequency questionnaires suggest that folate and vitamin B12 intake could protect against hearing loss. We investigated whether erythrocyte folate and serum vitamin B12 levels are independently associated with hearing loss in humans. SUBJECTS/METHODS Participants in the 2003-2004 US National Health and Nutrition Examination Survey who had data on hearing, folate, and vitamin B12 levels were included. Pure-tone average (PTA) at 0.5, 1.0, 2.0, and 4.0 kHz was computed for each ear. We used weighted logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the relation between quartiles of folate and vitamin B12, and hearing loss (present if PTA > 25 dB in either ear and absent if PTA ≤ 25 dB in both ears). RESULTS Participants (n = 1149) were 20-69 (mean 42) years old and 16.4% had hearing loss in at least one ear. Our data suggest a U-shaped relationship between folate and hearing loss. Compared to the 1st quartile, the ORs (95% CIs) for hearing loss were 0.87 (0.49-1.53), 0.70 (0.49-1.00), and 1.08 (0.61-1.94) for the 2nd, 3rd, and 4th quartile of erythrocyte folate in analyses adjusted for age, sex, vitamin B12, smoking, alcohol use, body mass index, race/ethnicity, exposure to noise, income, and education. Although we observed inverse associations between vitamin B12 and hearing loss, the associations were not statistically significant (P > 0.05). CONCLUSIONS Our data show a U-shaped relationship between erythrocyte folate levels and hearing loss, suggesting a need to evaluate whether optimizing blood folate levels could prevent hearing loss.
Collapse
Affiliation(s)
- Edmond K Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Loren Lipworth
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robert F Labadie
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Linda J Hood
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - David O Francis
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, TN, USA
| |
Collapse
|
23
|
Cunningham SA, Mosher A, Judd SE, Matz LM, Kabagambe EK, Moy CS, Howard VJ. Alcohol Consumption and Incident Stroke Among Older Adults. J Gerontol B Psychol Sci Soc Sci 2018; 73:636-648. [PMID: 28184880 PMCID: PMC6018946 DOI: 10.1093/geronb/gbw153] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Accepted: 11/13/2016] [Indexed: 02/07/2023] Open
Abstract
Objectives This study examines the relationship between alcohol consumption and incident stroke among older adults and tests whether alcohol consumption contributes to observed race and sex differences in stroke. Method Data are from a U.S. national cohort of black and white adults aged 45 and older, the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Current and past drinking levels were reported at baseline (2003-2007). Participants who had never had a stroke were followed for adjudicated stroke events through September 2015 (n = 27,265). We calculated Cox proportional hazard models for stroke, adjusting for demographic, socioeconomic, behavioral, and health characteristics. Results Participants, mean age 64.7 years, consumed on average 2.2 drinks/week and experienced 1,140 first-time stroke events over median 9.1 years follow-up. Nondrinkers had a 12% higher risk of stroke than current drinkers; the risk of stroke among nondrinkers largely reflected high risks among past drinkers; these differences were explained by socioeconomic characteristics. Among current drinkers, light drinkers had significantly lower stroke risks than moderate drinkers after accounting for demographic, socioeconomic, behavioral, and health characteristics. Implications of alcohol did not differ between blacks and whites but did differ by sex: Especially among women, nondrinkers, and specifically past drinkers, had higher risks; these differences were largely explained by health characteristics and behaviors. Alcohol did not explain race and sex differences in stroke incidence. Discussion Among older adults, those who used to, but no longer, drink had higher risks of stroke, especially among women; current light drinkers had the lowest risk of stroke.
Collapse
Affiliation(s)
- Solveig A Cunningham
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Aleena Mosher
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | - Suzanne E Judd
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | - Lisa M Matz
- London School of Hygiene and Tropical Medicine, UK
| | - Edmond K Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Claudia S Moy
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Virginia J Howard
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| |
Collapse
|
24
|
Ezeamama AE, Guwatudde D, Sikorskii A, Kabagambe EK, Spelts R, Vahey G, Fenton JI, Fawzi WW. Impaired Hematologic Status in Relation to Clinical Outcomes among HIV-Infected Adults from Uganda: A Prospective Cohort Study. Nutrients 2018; 10:E475. [PMID: 29649107 PMCID: PMC5946260 DOI: 10.3390/nu10040475] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 04/06/2018] [Accepted: 04/10/2018] [Indexed: 11/16/2022] Open
Abstract
Impaired hematologic status (IHS) was investigated as a determinant of immune function defined as cluster of differentiation 4 (CD4) T-helper cell count, quality of life (QOL) weight and hospitalization/mortality over 18-months among 398 adult persons living with HIV/AIDS (PLWHA) on anti-retroviral therapy. IHS was defined as having anemia at baseline (Hemoglobin: <12 g/dL for women and <13 g/dL for men), time-updated anemia or having low (<30 μg/L) or high (>200 μg/L for men and >150 μg/L for women) ferritin levels at baseline. Months-to-hospitalization/death or study-end (if no event) was calculated from enrollment. Multivariable linear-mixed models quantified associations between IHS and changes in CD4 cell-count, weight gain and QOL. Cox proportional hazards models calculated hazard ratios (HR) and corresponding 95% confidence intervals (CI) for IHS-related differences in time-to-hospitalization/death. The prevalences of anemia and high and low ferritin levels at baseline were 48.7% (n = 194), 40.5% (n = 161) and 17% (n = 68), respectively. Most patients (63.4%, n = 123) remained anemic during follow-up. Weight gained (ferritin-time interaction, p < 0.01) and QOL (anemia-time interaction, p = 0.05; ferritin-time interaction, p = 0.01) were lower for PLWHA with versus without IHS. Relative to anemia-free/normal ferritin, the risk of hospitalization/death was elevated for PLWHA with anemia (HR = 2.0; 95% CI: 1.2-3.6), low or high ferritin (HR: 1.8-1.9, 95% CI: 0.9-4.1) and those that developed new/persistent/progressive anemia (HR: 2.3-6.7, 95% CI: 1.0-12.7). Among PLWHA, IHS predicted deficits in QOL, low weight gain and a high risk of hospitalization/death. Intervention to mitigate persistent IHS may be warranted among PLWHA on long-term highly active antiretroviral therapy (HAART) to improve health outcomes.
Collapse
Affiliation(s)
- Amara E Ezeamama
- Department of Psychiatry, College of Osteopathic Medicine, Michigan State University, East Lansing, MI 48824, USA.
| | - David Guwatudde
- School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
| | - Alla Sikorskii
- Department of Psychiatry, College of Osteopathic Medicine, Michigan State University, East Lansing, MI 48824, USA.
- Department of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA.
| | - Edmond K Kabagambe
- Division of Epidemiology, Department of Medicine Vanderbilt University Medical Center, Nashville, TN 37203, USA.
| | - Raybun Spelts
- College of Public Health, University of Georgia, Athens, GA 30602, USA.
| | - Grace Vahey
- College of Public Health, University of Georgia, Athens, GA 30602, USA.
| | - Jenifer I Fenton
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA.
| | - Wafaie W Fawzi
- Departments of Global Health and Population, Nutrition and Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
| |
Collapse
|
25
|
Wheeler E, Leong A, Liu CT, Hivert MF, Strawbridge RJ, Podmore C, Li M, Yao J, Sim X, Hong J, Chu AY, Zhang W, Wang X, Chen P, Maruthur NM, Porneala BC, Sharp SJ, Jia Y, Kabagambe EK, Chang LC, Chen WM, Elks CE, Evans DS, Fan Q, Giulianini F, Go MJ, Hottenga JJ, Hu Y, Jackson AU, Kanoni S, Kim YJ, Kleber ME, Ladenvall C, Lecoeur C, Lim SH, Lu Y, Mahajan A, Marzi C, Nalls MA, Navarro P, Nolte IM, Rose LM, Rybin DV, Sanna S, Shi Y, Stram DO, Takeuchi F, Tan SP, van der Most PJ, Van Vliet-Ostaptchouk JV, Wong A, Yengo L, Zhao W, Goel A, Martinez Larrad MT, Radke D, Salo P, Tanaka T, van Iperen EPA, Abecasis G, Afaq S, Alizadeh BZ, Bertoni AG, Bonnefond A, Böttcher Y, Bottinger EP, Campbell H, Carlson OD, Chen CH, Cho YS, Garvey WT, Gieger C, Goodarzi MO, Grallert H, Hamsten A, Hartman CA, Herder C, Hsiung CA, Huang J, Igase M, Isono M, Katsuya T, Khor CC, Kiess W, Kohara K, Kovacs P, Lee J, Lee WJ, Lehne B, Li H, Liu J, Lobbens S, Luan J, Lyssenko V, Meitinger T, Miki T, Miljkovic I, Moon S, Mulas A, Müller G, Müller-Nurasyid M, Nagaraja R, Nauck M, Pankow JS, Polasek O, Prokopenko I, Ramos PS, Rasmussen-Torvik L, Rathmann W, Rich SS, Robertson NR, Roden M, Roussel R, Rudan I, Scott RA, Scott WR, Sennblad B, Siscovick DS, Strauch K, Sun L, Swertz M, Tajuddin SM, Taylor KD, Teo YY, Tham YC, Tönjes A, Wareham NJ, Willemsen G, Wilsgaard T, Hingorani AD, Egan J, Ferrucci L, Hovingh GK, Jula A, Kivimaki M, Kumari M, Njølstad I, Palmer CNA, Serrano Ríos M, Stumvoll M, Watkins H, Aung T, Blüher M, Boehnke M, Boomsma DI, Bornstein SR, Chambers JC, Chasman DI, Chen YDI, Chen YT, Cheng CY, Cucca F, de Geus EJC, Deloukas P, Evans MK, Fornage M, Friedlander Y, Froguel P, Groop L, Gross MD, Harris TB, Hayward C, Heng CK, Ingelsson E, Kato N, Kim BJ, Koh WP, Kooner JS, Körner A, Kuh D, Kuusisto J, Laakso M, Lin X, Liu Y, Loos RJF, Magnusson PKE, März W, McCarthy MI, Oldehinkel AJ, Ong KK, Pedersen NL, Pereira MA, Peters A, Ridker PM, Sabanayagam C, Sale M, Saleheen D, Saltevo J, Schwarz PEH, Sheu WHH, Snieder H, Spector TD, Tabara Y, Tuomilehto J, van Dam RM, Wilson JG, Wilson JF, Wolffenbuttel BHR, Wong TY, Wu JY, Yuan JM, Zonderman AB, Soranzo N, Guo X, Roberts DJ, Florez JC, Sladek R, Dupuis J, Morris AP, Tai ES, Selvin E, Rotter JI, Langenberg C, Barroso I, Meigs JB. Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. PLoS Med 2017; 14:e1002383. [PMID: 28898252 PMCID: PMC5595282 DOI: 10.1371/journal.pmed.1002383] [Citation(s) in RCA: 256] [Impact Index Per Article: 36.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 08/03/2017] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Glycated hemoglobin (HbA1c) is used to diagnose type 2 diabetes (T2D) and assess glycemic control in patients with diabetes. Previous genome-wide association studies (GWAS) have identified 18 HbA1c-associated genetic variants. These variants proved to be classifiable by their likely biological action as erythrocytic (also associated with erythrocyte traits) or glycemic (associated with other glucose-related traits). In this study, we tested the hypotheses that, in a very large scale GWAS, we would identify more genetic variants associated with HbA1c and that HbA1c variants implicated in erythrocytic biology would affect the diagnostic accuracy of HbA1c. We therefore expanded the number of HbA1c-associated loci and tested the effect of genetic risk-scores comprised of erythrocytic or glycemic variants on incident diabetes prediction and on prevalent diabetes screening performance. Throughout this multiancestry study, we kept a focus on interancestry differences in HbA1c genetics performance that might influence race-ancestry differences in health outcomes. METHODS & FINDINGS Using genome-wide association meta-analyses in up to 159,940 individuals from 82 cohorts of European, African, East Asian, and South Asian ancestry, we identified 60 common genetic variants associated with HbA1c. We classified variants as implicated in glycemic, erythrocytic, or unclassified biology and tested whether additive genetic scores of erythrocytic variants (GS-E) or glycemic variants (GS-G) were associated with higher T2D incidence in multiethnic longitudinal cohorts (N = 33,241). Nineteen glycemic and 22 erythrocytic variants were associated with HbA1c at genome-wide significance. GS-G was associated with higher T2D risk (incidence OR = 1.05, 95% CI 1.04-1.06, per HbA1c-raising allele, p = 3 × 10-29); whereas GS-E was not (OR = 1.00, 95% CI 0.99-1.01, p = 0.60). In Europeans and Asians, erythrocytic variants in aggregate had only modest effects on the diagnostic accuracy of HbA1c. Yet, in African Americans, the X-linked G6PD G202A variant (T-allele frequency 11%) was associated with an absolute decrease in HbA1c of 0.81%-units (95% CI 0.66-0.96) per allele in hemizygous men, and 0.68%-units (95% CI 0.38-0.97) in homozygous women. The G6PD variant may cause approximately 2% (N = 0.65 million, 95% CI 0.55-0.74) of African American adults with T2D to remain undiagnosed when screened with HbA1c. Limitations include the smaller sample sizes for non-European ancestries and the inability to classify approximately one-third of the variants. Further studies in large multiethnic cohorts with HbA1c, glycemic, and erythrocytic traits are required to better determine the biological action of the unclassified variants. CONCLUSIONS As G6PD deficiency can be clinically silent until illness strikes, we recommend investigation of the possible benefits of screening for the G6PD genotype along with using HbA1c to diagnose T2D in populations of African ancestry or groups where G6PD deficiency is common. Screening with direct glucose measurements, or genetically-informed HbA1c diagnostic thresholds in people with G6PD deficiency, may be required to avoid missed or delayed diagnoses.
Collapse
Affiliation(s)
- Eleanor Wheeler
- Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Aaron Leong
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
| | - Rona J. Strawbridge
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Centre for Molecular Medicine, Karolinska Universitetsjukhuset, Solna, Sweden
| | - Clara Podmore
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Man Li
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Division of Nephrology, University of Utah, Salt Lake City, UT, United States of America
- Department of Human Genetics, University of Utah, Salt Lake City, UT, United States of America
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jaeyoung Hong
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
| | - Audrey Y. Chu
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States of America
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Cardiology, Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
| | - Xu Wang
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Peng Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, United States of America
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, Jilin, China
- College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China
| | - Nisa M. Maruthur
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
- Welch Center for Prevention, Epidemiology and Clinical Research, The Johns Hopkins University, Baltimore, MD, United States of America
| | - Bianca C. Porneala
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States of America
| | - Stephen J. Sharp
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Yucheng Jia
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Edmond K. Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Li-Ching Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Wei-Min Chen
- University of Virginia Center for Public Health Genomics, Charlottesville, VA, United States of America
| | - Cathy E. Elks
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Personalised Healthcare & Biomarkers, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Qiao Fan
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Min Jin Go
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Jouke-Jan Hottenga
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Yao Hu
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Anne U. Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, United States of America
| | - Stavroula Kanoni
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Young Jin Kim
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Marcus E. Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Claes Ladenvall
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Lund University Diabetes Centre, Lund University, Lund, Sweden
| | - Cecile Lecoeur
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199—EGID, Lille, France
| | - Sing-Hui Lim
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
- The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Carola Marzi
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Partner Munich, Munich, Germany
| | - Mike A. Nalls
- Data Tecnica International, Glen Echo, MD, United States of America
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, United States of America
| | - Pau Navarro
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, Scotland
| | - Ilja M. Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Lynda M. Rose
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Denis V. Rybin
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- Data Coordinating Center, Boston University School of Public Health, Boston, MA, United States of America
| | - Serena Sanna
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy
| | - Yuan Shi
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Daniel O. Stram
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Shu Pei Tan
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Peter J. van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Jana V. Van Vliet-Ostaptchouk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Andrew Wong
- MRC Unit for Lifelong Health & Ageing, London, United Kingdom
| | - Loic Yengo
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199—EGID, Lille, France
| | - Wanting Zhao
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Anuj Goel
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Maria Teresa Martinez Larrad
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Dörte Radke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Perttu Salo
- National Institute for Health and Welfare (THL), Helsinki, Finland
- University of Helsinki, Institute for Molecular Medicine, Finland (FIMM) and Diabetes and Obesity Research Program, Helsinki, Finland
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, United States of America
| | - Erik P. A. van Iperen
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands
- Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, Netherlands
| | - Goncalo Abecasis
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, United States of America
| | - Saima Afaq
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Behrooz Z. Alizadeh
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Alain G. Bertoni
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Amelie Bonnefond
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199—EGID, Lille, France
| | - Yvonne Böttcher
- Integrated Research and Treatment (IFB) Center Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Erwin P. Bottinger
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland
| | - Olga D. Carlson
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States of America
| | - Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- School of Chinese Medicine, China Medical University, Taichung City, Taiwan
| | - Yoon Shin Cho
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
- Department of Biomedical Science, Hallym University, Chuncheon, Gangwon-do, South Korea
| | - W. Timothy Garvey
- Department of Nutrition Sciences, University of Alabama at Birmingham and the Birmingham Veterans Affairs Medical Center, Birmingham, AL, United States of America
| | - Christian Gieger
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Mark O. Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States of America
| | - Harald Grallert
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Partner Munich, Munich, Germany
| | - Anders Hamsten
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Centre for Molecular Medicine, Karolinska Universitetsjukhuset, Solna, Sweden
| | - Catharina A. Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Chao Agnes Hsiung
- Division of Endocrinology, Diabetes, Metabolism, Department of Internal Medicine, Wexner Medical Center, The Ohio State University, Columbus, OH, United States of America
| | - Jie Huang
- Boston VA Research Institute, Inc., Boston, MA, United States of America
| | - Michiya Igase
- Department of Geriatric Medicine, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Masato Isono
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Tomohiro Katsuya
- Department of Clinical Gene Therapy, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Chiea-Chuen Khor
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Wieland Kiess
- Center of Pediatric Research, University Hospital for Children & Adolescents, Dept. of Women's & Child Health, University of Leipzig, Leipzig, Germany
- LIFE Child, LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Katsuhiko Kohara
- Faculty of Collaborative Regional Innovation, Ehime University, Ehime, Japan
| | - Peter Kovacs
- Integrated Research and Treatment (IFB) Center Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Juyoung Lee
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Huaixing Li
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Jianjun Liu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Stephane Lobbens
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199—EGID, Lille, France
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | | | - Thomas Meitinger
- Institute of Human Genetics, Technische Universität München, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Tetsuro Miki
- Department of Geriatric Medicine, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Iva Miljkovic
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Sanghoon Moon
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Antonella Mulas
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy
| | - Gabriele Müller
- Center for Evidence-based Healthcare, University Hospital and Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
- Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universität, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Ramaiah Nagaraja
- Laboratory of Genetics, National Institute on Aging, Baltimore, MD, United States of America
| | - Matthias Nauck
- Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - James S. Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, United States of America
| | - Ozren Polasek
- University of Split, Split, Croatia
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Inga Prokopenko
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, United Kingdom
| | - Paula S. Ramos
- Department of Medicine, Medical University of South Carolina, Charleston, SC, United States of America
| | - Laura Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, United States of America
| | - Neil R. Robertson
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Michael Roden
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Ronan Roussel
- INSERM, UMR_S 1138, Centre de Recherche des Cordelier, Paris, France
- Université Paris Diderot, Sorbonne Paris Cité, UFR de Médecine, Paris, France
- Assistance Publique Hôpitaux de Paris, Bichat Hospital, DHU FIRE, Department of Diabetology, Endocrinology and Nutrition, Paris, France
| | - Igor Rudan
- University of Edinburgh, Edinburgh, United Kingdom
| | - Robert A. Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - William R. Scott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Cardiology, Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
| | - Bengt Sennblad
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Centre for Molecular Medicine, Karolinska Universitetsjukhuset, Solna, Sweden
- Science for life laboratory, Karolinska Institutet, Solna, Sweden
| | - David S. Siscovick
- The New York Academy of Medicine, New York, NY, United States of America
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
| | - Liang Sun
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Morris Swertz
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Salman M. Tajuddin
- Health Disparities Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States of America
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, Singapore
| | - Yih Chung Tham
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Anke Tönjes
- Department of Medicine; University of Leipzig, Leipzig, Germany
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Gonneke Willemsen
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Tom Wilsgaard
- Dept of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
| | - Aroon D. Hingorani
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | | | | | | | - Josephine Egan
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States of America
| | - Luigi Ferrucci
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States of America
| | - G. Kees Hovingh
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, Netherlands
| | - Antti Jula
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Meena Kumari
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
- Institute for Social and Economic Research, University of Essex, Colchester, United Kingdom
| | - Inger Njølstad
- Dept of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
| | - Colin N. A. Palmer
- Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Medical Research Institute, Ninewells Hospital and Medical School, Dundee, United Kingdom
| | - Manuel Serrano Ríos
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | | | - Hugh Watkins
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Tin Aung
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore National Eye Centre, Singapore, Singapore
| | - Matthias Blüher
- Department of Medicine; University of Leipzig, Leipzig, Germany
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, United States of America
| | - Dorret I. Boomsma
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Stefan R. Bornstein
- Dept of Medicine III, University of Dresden, Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - John C. Chambers
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Cardiology, Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
- Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Division of Genetics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Yduan-Tsong Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore National Eye Centre, Singapore, Singapore
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Italy
| | - Eco J. C. de Geus
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Panos Deloukas
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
- Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia
| | - Michele K. Evans
- Health Disparities Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States of America
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, Division of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, United States of America
| | - Yechiel Friedlander
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Philippe Froguel
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, United Kingdom
- CNRS 8199-Lille University, France
| | - Leif Groop
- Lund University Diabetes Centre, Lund University, Lund, Sweden
- Finnish Institute for Molecular Medicine (FIMM), Helsinki, Finland
| | - Myron D. Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States of America
| | - Tamara B. Harris
- National Institute on Aging, Bethesda, MD, United States of America
| | - Caroline Hayward
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children’s Medical Institute, National University Health System, Singapore, Singapore
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States of America
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Bong-Jo Kim
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Duke-NUS Medical School Singapore, Singapore
| | - Jaspal S. Kooner
- Department of Cardiology, Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
- Imperial College Healthcare NHS Trust, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Antje Körner
- Center of Pediatric Research, University Hospital for Children & Adolescents, Dept. of Women's & Child Health, University of Leipzig, Leipzig, Germany
- LIFE Child, LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Diana Kuh
- MRC Unit for Lifelong Health & Ageing, London, United Kingdom
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Xu Lin
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, United States of America
| | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
- The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
- The Mindich Child Health Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Patrik K. E. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Insitutet, Stockholm, Sweden
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
- Synlab Academy, Synlab Services GmbH, Mannheim, Germany
| | - Mark I. McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, United Kingdom
| | - Albertine J. Oldehinkel
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Ken K. Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Insitutet, Stockholm, Sweden
| | - Mark A. Pereira
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, United States of America
| | - Annette Peters
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Paul M. Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Division of Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | - Michele Sale
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, United States of America
| | - Danish Saleheen
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, United States of America
- Center for Non-Communicable Diseases, Karachi, Pakistan
| | - Juha Saltevo
- Department of Medicine, Central Hospital, Central Finland, Jyväskylä, Finland
| | - Peter EH. Schwarz
- Dept of Medicine III, University of Dresden, Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - Wayne H. H. Sheu
- Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Timothy D. Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Jaakko Tuomilehto
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
- Dasman Diabetes Institute, Dasman, Kuwait
- Centre for Vascular Prevention, Danube-University Krems, Krems, Austria
- Saudi Diabetes Research Group, King Abdulaziz University, Fahd Medical Research Center, Jeddah, Saudi Arabia
| | - Rob M. van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, United States of America
| | - James F. Wilson
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, Scotland
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland
| | - Bruce H. R. Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Tien Yin Wong
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore National Eye Centre, Singapore, Singapore
| | - Jer-Yuarn Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- School of Chinese Medicine, China Medical University, Taichung City, Taiwan
| | - Jian-Min Yuan
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States of America
- Division of Cancer Control and Population Sciences,University of Pittsburgh Cancer Institute, Pittsburgh, PA, United States of America
| | - Alan B. Zonderman
- Laboratory of Epidemiology & Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States of America
| | - Nicole Soranzo
- Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
- The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, United Kingdom
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - David J. Roberts
- Biomedical Research Centre Oxford Haematology Theme and Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Headington, Oxford, United Kingdom
- NHS Blood and Transplant, Headington, Oxford, United Kingdom
| | - Jose C. Florez
- Harvard Medical School, Boston, MA, United States of America
- Diabetes Unit and Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, United States of America
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Robert Sladek
- Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States of America
| | - Andrew P. Morris
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Department of Biostatistics, University of Liverpool, Liverpool, United Kingdom
| | - E-Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Duke-NUS Medical School Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Elizabeth Selvin
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
- Welch Center for Prevention, Epidemiology and Clinical Research, The Johns Hopkins University, Baltimore, MD, United States of America
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Inês Barroso
- Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, United Kingdom
- Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - James B. Meigs
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, United States of America
| |
Collapse
|
26
|
McNaughton CD, Brown NJ, Rothman RL, Liu D, Kabagambe EK, Levy PD, Self WH, Storrow AB, Collins SP, Roumie CL. Systolic Blood Pressure and Biochemical Assessment of Adherence: A Cross-Sectional Analysis in the Emergency Department. Hypertension 2017; 70:307-314. [PMID: 28652467 PMCID: PMC5531074 DOI: 10.1161/hypertensionaha.117.09659] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 04/16/2017] [Accepted: 05/20/2017] [Indexed: 12/23/2022]
Abstract
Elevated blood pressure (BP) is common in the emergency department (ED), but the relationship between antihypertensive medication adherence and BP in the ED is unclear. This cross-sectional study tested the hypothesis that higher antihypertensive adherence is associated with lower systolic BP (SBP) in the ED among adults with hypertension who sought ED care at an academic hospital from July 2012 to April 2013. Biochemical assessment of antihypertensive adherence was performed using a mass spectrometry blood assay, and the primary outcome was average ED SBP. Analyses were stratified by number of prescribed antihypertensives (<3, ≥3) and adjusted for age, sex, race, insurance, literacy, numeracy, education, body mass index, and comorbidities. Among 85 patients prescribed ≥3 antihypertensives, mean SBP for adherent patients was 134.4 mm Hg (±26.1 mm Hg), and in adjusted analysis was -20.8 mm Hg (95% confidence interval, -34.2 to -7.4 mm Hg; P=0.003) different from nonadherent patients. Among 176 patients prescribed <3 antihypertensives, mean SBP was 135.5 mm Hg (±20.6 mm Hg) for adherent patients, with no difference by adherence in adjusted analysis (+2.9 mm Hg; 95% confidence interval, -4.7 to 10.5 mm Hg; P=0.45). Antihypertensive nonadherence identified by biochemical assessment was common and associated with higher SBP in the ED among patients who had a primary care provider and health insurance and who were prescribed ≥3 antihypertensives. Biochemical assessment of antihypertensives could help distinguish medication nonadherence from other contributors to elevated BP and identify target populations for intervention.
Collapse
Affiliation(s)
- Candace D McNaughton
- From the Department of Emergency Medicine (C.D.M., W.H.S., A.B.S., S.P.C.), Department of Internal Medicine (N.J.B., R.L.R., C.L.R.), Department of Pediatrics (R.L.R., C.L.R.), Department of Biostatistics (D.L.), and Division of Epidemiology, Department of Medicine (E.K.K.), VUMC, Nashville, TN; Department of Emergency Medicine, Wayne State University, Detroit, MI (P.D.L.); and Veterans Health Administration-Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, Nashville (C.L.R.).
| | - Nancy J Brown
- From the Department of Emergency Medicine (C.D.M., W.H.S., A.B.S., S.P.C.), Department of Internal Medicine (N.J.B., R.L.R., C.L.R.), Department of Pediatrics (R.L.R., C.L.R.), Department of Biostatistics (D.L.), and Division of Epidemiology, Department of Medicine (E.K.K.), VUMC, Nashville, TN; Department of Emergency Medicine, Wayne State University, Detroit, MI (P.D.L.); and Veterans Health Administration-Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, Nashville (C.L.R.)
| | - Russell L Rothman
- From the Department of Emergency Medicine (C.D.M., W.H.S., A.B.S., S.P.C.), Department of Internal Medicine (N.J.B., R.L.R., C.L.R.), Department of Pediatrics (R.L.R., C.L.R.), Department of Biostatistics (D.L.), and Division of Epidemiology, Department of Medicine (E.K.K.), VUMC, Nashville, TN; Department of Emergency Medicine, Wayne State University, Detroit, MI (P.D.L.); and Veterans Health Administration-Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, Nashville (C.L.R.)
| | - Dandan Liu
- From the Department of Emergency Medicine (C.D.M., W.H.S., A.B.S., S.P.C.), Department of Internal Medicine (N.J.B., R.L.R., C.L.R.), Department of Pediatrics (R.L.R., C.L.R.), Department of Biostatistics (D.L.), and Division of Epidemiology, Department of Medicine (E.K.K.), VUMC, Nashville, TN; Department of Emergency Medicine, Wayne State University, Detroit, MI (P.D.L.); and Veterans Health Administration-Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, Nashville (C.L.R.)
| | - Edmond K Kabagambe
- From the Department of Emergency Medicine (C.D.M., W.H.S., A.B.S., S.P.C.), Department of Internal Medicine (N.J.B., R.L.R., C.L.R.), Department of Pediatrics (R.L.R., C.L.R.), Department of Biostatistics (D.L.), and Division of Epidemiology, Department of Medicine (E.K.K.), VUMC, Nashville, TN; Department of Emergency Medicine, Wayne State University, Detroit, MI (P.D.L.); and Veterans Health Administration-Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, Nashville (C.L.R.)
| | - Phillip D Levy
- From the Department of Emergency Medicine (C.D.M., W.H.S., A.B.S., S.P.C.), Department of Internal Medicine (N.J.B., R.L.R., C.L.R.), Department of Pediatrics (R.L.R., C.L.R.), Department of Biostatistics (D.L.), and Division of Epidemiology, Department of Medicine (E.K.K.), VUMC, Nashville, TN; Department of Emergency Medicine, Wayne State University, Detroit, MI (P.D.L.); and Veterans Health Administration-Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, Nashville (C.L.R.)
| | - Wesley H Self
- From the Department of Emergency Medicine (C.D.M., W.H.S., A.B.S., S.P.C.), Department of Internal Medicine (N.J.B., R.L.R., C.L.R.), Department of Pediatrics (R.L.R., C.L.R.), Department of Biostatistics (D.L.), and Division of Epidemiology, Department of Medicine (E.K.K.), VUMC, Nashville, TN; Department of Emergency Medicine, Wayne State University, Detroit, MI (P.D.L.); and Veterans Health Administration-Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, Nashville (C.L.R.)
| | - Alan B Storrow
- From the Department of Emergency Medicine (C.D.M., W.H.S., A.B.S., S.P.C.), Department of Internal Medicine (N.J.B., R.L.R., C.L.R.), Department of Pediatrics (R.L.R., C.L.R.), Department of Biostatistics (D.L.), and Division of Epidemiology, Department of Medicine (E.K.K.), VUMC, Nashville, TN; Department of Emergency Medicine, Wayne State University, Detroit, MI (P.D.L.); and Veterans Health Administration-Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, Nashville (C.L.R.)
| | - Sean P Collins
- From the Department of Emergency Medicine (C.D.M., W.H.S., A.B.S., S.P.C.), Department of Internal Medicine (N.J.B., R.L.R., C.L.R.), Department of Pediatrics (R.L.R., C.L.R.), Department of Biostatistics (D.L.), and Division of Epidemiology, Department of Medicine (E.K.K.), VUMC, Nashville, TN; Department of Emergency Medicine, Wayne State University, Detroit, MI (P.D.L.); and Veterans Health Administration-Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, Nashville (C.L.R.)
| | - Christianne L Roumie
- From the Department of Emergency Medicine (C.D.M., W.H.S., A.B.S., S.P.C.), Department of Internal Medicine (N.J.B., R.L.R., C.L.R.), Department of Pediatrics (R.L.R., C.L.R.), Department of Biostatistics (D.L.), and Division of Epidemiology, Department of Medicine (E.K.K.), VUMC, Nashville, TN; Department of Emergency Medicine, Wayne State University, Detroit, MI (P.D.L.); and Veterans Health Administration-Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, Nashville (C.L.R.)
| |
Collapse
|
27
|
Akwo EA, Kabagambe EK, Wang TJ, Harrell FE, Blot WJ, Mumma M, Gupta DK, Lipworth L. Heart Failure Incidence and Mortality in the Southern Community Cohort Study. Circ Heart Fail 2017; 10:CIRCHEARTFAILURE.116.003553. [PMID: 28255010 DOI: 10.1161/circheartfailure.116.003553] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Accepted: 01/30/2017] [Indexed: 12/29/2022]
Abstract
BACKGROUND There is a paucity of data on heart failure (HF) incidence among low-income and minority populations. Our objective was to investigate HF incidence and post-HF survival by race and sex among low-income adults in the southeastern United States. METHODS AND RESULTS Participants were 27 078 white and black men and women enrolled during 2002 to 2009 in the SCCS (Southern Community Cohort Study) who had no history of HF and were receiving Centers for Medicare and Medicaid Services. Incident HF diagnoses through December 31, 2010 were ascertained using International Classification of Diseases 9th Revision codes 428.x via linkage with Centers for Medicare and Medicaid Services research files. Most participants were black (68.8%), women (62.6%), and earned <$15 000/y (69.7%); mean age was 55.5 (10.4) years. Risk factors for HF were common: hypertension (62.5%), diabetes mellitus (26.5%), myocardial infarction (8.6%), and obesity (44.8%). Over a median follow-up of 5.2 years, 4341 participants were diagnosed with HF. The age-standardized incidence rates were 34.8, 37.3, 34.9, and 35.6 /1000 person-years in white women, white men, black men, and black women, respectively, remarkably higher than previously reported. Among HF cases, 952 deaths occurred over a median follow-up of 2.3 years. Men had lower survival; hazard ratios and 95% confidence intervals were 1.63 (1.27-2.08), 1.38 (1.11-1.72), and 0.90 (0.73-1.12) for white men, black men, and black women compared with white women. CONCLUSIONS In this low-income population, HF incidence was higher for all race-sex groups than previously reported in other cohorts. The SCCS is a unique resource to investigate determinants of HF risk in a segment of the population underrepresented in other existing cohorts.
Collapse
Affiliation(s)
- Elvis A Akwo
- From the Division of Epidemiology (E.A.A., E.K.K., W.J.B., L.L.), Division of Cardiovascular Medicine (T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., T.J.W., F.E.H., D.K.G., L.L.), Department of Medicine, and Department of Biostatistics (F.E.H.), Vanderbilt University School of Medicine, Nashville, TN; and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN (M.M.)
| | - Edmond K Kabagambe
- From the Division of Epidemiology (E.A.A., E.K.K., W.J.B., L.L.), Division of Cardiovascular Medicine (T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., T.J.W., F.E.H., D.K.G., L.L.), Department of Medicine, and Department of Biostatistics (F.E.H.), Vanderbilt University School of Medicine, Nashville, TN; and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN (M.M.)
| | - Thomas J Wang
- From the Division of Epidemiology (E.A.A., E.K.K., W.J.B., L.L.), Division of Cardiovascular Medicine (T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., T.J.W., F.E.H., D.K.G., L.L.), Department of Medicine, and Department of Biostatistics (F.E.H.), Vanderbilt University School of Medicine, Nashville, TN; and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN (M.M.)
| | - Frank E Harrell
- From the Division of Epidemiology (E.A.A., E.K.K., W.J.B., L.L.), Division of Cardiovascular Medicine (T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., T.J.W., F.E.H., D.K.G., L.L.), Department of Medicine, and Department of Biostatistics (F.E.H.), Vanderbilt University School of Medicine, Nashville, TN; and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN (M.M.)
| | - William J Blot
- From the Division of Epidemiology (E.A.A., E.K.K., W.J.B., L.L.), Division of Cardiovascular Medicine (T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., T.J.W., F.E.H., D.K.G., L.L.), Department of Medicine, and Department of Biostatistics (F.E.H.), Vanderbilt University School of Medicine, Nashville, TN; and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN (M.M.)
| | - Michael Mumma
- From the Division of Epidemiology (E.A.A., E.K.K., W.J.B., L.L.), Division of Cardiovascular Medicine (T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., T.J.W., F.E.H., D.K.G., L.L.), Department of Medicine, and Department of Biostatistics (F.E.H.), Vanderbilt University School of Medicine, Nashville, TN; and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN (M.M.)
| | - Deepak K Gupta
- From the Division of Epidemiology (E.A.A., E.K.K., W.J.B., L.L.), Division of Cardiovascular Medicine (T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., T.J.W., F.E.H., D.K.G., L.L.), Department of Medicine, and Department of Biostatistics (F.E.H.), Vanderbilt University School of Medicine, Nashville, TN; and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN (M.M.)
| | - Loren Lipworth
- From the Division of Epidemiology (E.A.A., E.K.K., W.J.B., L.L.), Division of Cardiovascular Medicine (T.J.W., D.K.G.), and Vanderbilt Translational and Clinical Cardiovascular Research Center (V-TRACC) (E.A.A., E.K.K., T.J.W., F.E.H., D.K.G., L.L.), Department of Medicine, and Department of Biostatistics (F.E.H.), Vanderbilt University School of Medicine, Nashville, TN; and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN (M.M.).
| |
Collapse
|
28
|
Zhao J, Zhu X, Shrubsole MJ, Ness RM, Hibler EA, Cai Q, Long J, Chen Z, Jiang M, Kabagambe EK, Zhang B, Hou L, Smalley WE, Edwards TL, Giovannucci EL, Zheng W, Dai Q. Interactions between calcium intake and polymorphisms in genes essential for calcium reabsorption and risk of colorectal neoplasia in a two-phase study. Mol Carcinog 2017; 56:2258-2266. [PMID: 28544176 DOI: 10.1002/mc.22678] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Revised: 05/09/2017] [Accepted: 05/19/2017] [Indexed: 12/31/2022]
Abstract
The SLC8A1 (solute carrier family 8, member 1) gene, encoding Na+ /Ca2+ exchanger, is essential in regulating calcium reabsorption and homeostasis. Calcium homeostasis plays a key role in cell proliferation and apoptosis. We hypothesized that polymorphisms in five calcium-regulating genes (SLC8A1, ATP2B1, CALB1, CALB2, and CABP1) interact with calcium intake in relation to the risk of colorectal neoplasia. A two-phase (discovery and replication) study was conducted within the Tennessee Colorectal Polyp Study, including a total of 1275 cases and 2811 controls. In Phase I, we identified six out of 135 SNPs that significantly interacted with calcium intake in relation to adenoma risk. In Phase II, the calcium intake by rs4952490 (SLC8A1) interaction was replicated (Pinteraction = 0.048). We found an inverse association between calcium intake (1000-2000 mg/day) and colorectal adenomas, particularly for multiple/advanced adenomas, among the G-allele carriers but not among homozygous carriers of the common variant (A) in rs4952490. In the joint analysis of SLC8A1, KCNJ1, and SLC12A1 SNPs, carriers of variant alleles in at least two genes and with calcium intake above the DRI (1000 mg/day) were approximately 30-57% less likely to have adenomas than those whose calcium intake was below the DRI. The association was stronger for multiple/advanced adenomas. No association was found among those who did not carry any variant alleles in these genes when calcium intake was below 2500 mg/day. These findings, if confirmed, may provide a new avenue for the personalized prevention of colorectal adenoma and cancer.
Collapse
Affiliation(s)
- Jing Zhao
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.,Department of Veterans Affairs, Tennessee Valley Healthcare System, Geriatric, Research, Education and Clinical Center (GRECC), Nashville, Tennessee
| | - Xiangzhu Zhu
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.,Department of Veterans Affairs, Tennessee Valley Healthcare System, Geriatric, Research, Education and Clinical Center (GRECC), Nashville, Tennessee
| | - Martha J Shrubsole
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.,Department of Veterans Affairs, Tennessee Valley Healthcare System, Geriatric, Research, Education and Clinical Center (GRECC), Nashville, Tennessee.,Department of Medicine, Vanderbilt Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Reid M Ness
- Department of Medicine, Vanderbilt Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.,Division of Gastroenterology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Elizabeth A Hibler
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Zhi Chen
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Ming Jiang
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.,Laboratory of Nuclear Receptors and Cancer Research, Center for Basic Medical Research, School of Medicine, Nantong University, Jiangsu, China
| | - Edmond K Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Bing Zhang
- Division of Gastroenterology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.,Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois
| | - Walter E Smalley
- Department of Veterans Affairs, Tennessee Valley Healthcare System, Geriatric, Research, Education and Clinical Center (GRECC), Nashville, Tennessee.,Division of Gastroenterology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Todd L Edwards
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.,Department of Veterans Affairs, Tennessee Valley Healthcare System, Geriatric, Research, Education and Clinical Center (GRECC), Nashville, Tennessee
| | - Edward L Giovannucci
- Department of Nutrition and Epidemiology, Harvard School of Public Health, Boston, Massachusetts
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.,Department of Veterans Affairs, Tennessee Valley Healthcare System, Geriatric, Research, Education and Clinical Center (GRECC), Nashville, Tennessee.,Department of Medicine, Vanderbilt Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Qi Dai
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.,Department of Veterans Affairs, Tennessee Valley Healthcare System, Geriatric, Research, Education and Clinical Center (GRECC), Nashville, Tennessee.,Department of Medicine, Vanderbilt Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| |
Collapse
|
29
|
Hu Y, Tanaka T, Zhu J, Guan W, Wu JHY, Psaty BM, McKnight B, King IB, Sun Q, Richard M, Manichaikul A, Frazier-Wood AC, Kabagambe EK, Hopkins PN, Ordovas JM, Ferrucci L, Bandinelli S, Arnett DK, Chen YDI, Liang S, Siscovick DS, Tsai MY, Rich SS, Fornage M, Hu FB, Rimm EB, Jensen MK, Lemaitre RN, Mozaffarian D, Steffen LM, Morris AP, Li H, Lin X. Discovery and fine-mapping of loci associated with MUFAs through trans-ethnic meta-analysis in Chinese and European populations. J Lipid Res 2017; 58:974-981. [PMID: 28298293 PMCID: PMC5408616 DOI: 10.1194/jlr.p071860] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 02/17/2017] [Indexed: 11/20/2022] Open
Abstract
MUFAs are unsaturated FAs with one double bond and are derived from endogenous synthesis and dietary intake. Accumulating evidence has suggested that plasma and erythrocyte MUFA levels are associated with cardiometabolic disorders, including CVD, T2D, and metabolic syndrome (MS). Previous genome-wide association studies (GWASs) have identified seven loci for plasma and erythrocyte palmitoleic and oleic acid levels in populations of European origin. To identify additional MUFA-associated loci and the potential functional variant at each locus, we performed ethnic-specific GWAS meta-analyses and trans-ethnic meta-analyses in more than 15,000 participants of Chinese and European ancestry. We identified novel genome-wide significant associations for vaccenic acid at FADS1/2 and PKD2L1 [log10(Bayes factor) ≥ 8.07] and for gondoic acid at FADS1/2 and GCKR [log10(Bayes factor) ≥ 6.22], and also observed improved fine-mapping resolutions at FADS1/2 and GCKR loci. The greatest improvement was observed at GCKR, where the number of variants in the 99% credible set was reduced from 16 (covering 94.8 kb) to 5 (covering 19.6 kb, including a missense variant rs1260326) after trans-ethnic meta-analysis. We also confirmed the previously reported associations of PKD2L1, FADS1/2, GCKR, and HIF1AN with palmitoleic acid and of FADS1/2 and LPCAT3 with oleic acid in the Chinese-specific GWAS and the trans-ethnic meta-analyses. Pathway-based analyses suggested that the identified loci were in unsaturated FA metabolism and signaling pathways. Our findings provide novel insight into the genetic basis relevant to MUFA metabolism and biology.
Collapse
Affiliation(s)
- Yao Hu
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People's Republic of China
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD
| | - Jingwen Zhu
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People's Republic of China
| | - Weihua Guan
- Division of Biostatistics University of Minnesota, Minneapolis, MN
| | - Jason H Y Wu
- George Institute for Global Health, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Irena B King
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM
| | - Qi Sun
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Cambridge, MA
| | - Melissa Richard
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
- Biostatistics Section, Department of Public Health Sciences, University of Virginia, Charlottesville, VA
| | - Alexis C Frazier-Wood
- USDA Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Edmond K Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Paul N Hopkins
- Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Jose M Ordovas
- Nutrition and Genomics Laboratory, Jean Mayer-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA
- Department of Epidemiology and Population Genetics, National Center for Cardiovascular Investigation, Madrid, Spain
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD
| | | | - Donna K Arnett
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL
| | - Yii-Der I Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Shuang Liang
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - David S Siscovick
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA
- New York Academy of Medicine, New York, NY
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX
| | - Frank B Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Cambridge, MA
| | - Eric B Rimm
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Cambridge, MA
| | - Majken K Jensen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Cambridge, MA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | - Lyn M Steffen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Andrew P Morris
- Genetic and Genomic Epidemiology Unit, Wellcome Trust Centre for Human Genetics, Oxford, United Kingdom
| | - Huaixing Li
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People's Republic of China
| | - Xu Lin
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People's Republic of China
| |
Collapse
|
30
|
Patel VG, Gupta DK, Terry JG, Kabagambe EK, Wang TJ, Correa A, Griswold M, Taylor H, Carr JJ. Left Ventricular Function Across the Spectrum of Body Mass Index in African Americans: The Jackson Heart Study. JACC Heart Fail 2017; 5:182-190. [PMID: 28254124 PMCID: PMC5338642 DOI: 10.1016/j.jchf.2016.12.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 12/26/2016] [Accepted: 12/28/2016] [Indexed: 12/17/2022]
Abstract
OBJECTIVES This study sought to assess whether body mass index (BMI) was associated with subclinical left ventricular (LV) systolic dysfunction in African-American individuals. BACKGROUND Higher BMI is a risk factor for cardiovascular disease, including heart failure. Obesity disproportionately affects African Americans; however, the association between higher BMI and LV function in African Americans is not well understood. METHODS Peak systolic circumferential strain (ECC) was measured by tagged cardiac magnetic resonance in 1,652 adult African-American participants of the Jackson Heart Study between 2008 and 2012. We evaluated the association between BMI and ECC in multivariate linear regression and restricted cubic spline analyses adjusted for prevalent cardiovascular disease, conventional cardiovascular risk factors, LV mass, and ejection fraction. In exploratory analyses, we also examined whether inflammation, insulin resistance, or volume of visceral adipose tissue altered the association between BMI and ECC. RESULTS The proportions of female, nonsmokers, diabetic, and hypertensive participants rose with increase in BMI. In multivariate-adjusted models, higher BMI was associated with worse ECC (β = 0.052; 95% confidence interval: 0.028 to 0.075), even in the setting of preserved LV ejection fraction. Higher BMI was also associated with worse ECC when accounting for markers of inflammation (C-reactive protein, E-selection, and P-selectin), insulin resistance, and volume of visceral adipose tissue. CONCLUSIONS Higher BMI is significantly associated with subclinical LV dysfunction in African Americans, even in the setting of preserved LV ejection fraction.
Collapse
Affiliation(s)
- Vivek G Patel
- Vanderbilt University School of Medicine, Nashville, Tennessee; Vanderbilt Translational and Clinical Cardiovascular Research Center, Nashville, Tennessee.
| | - Deepak K Gupta
- Vanderbilt University School of Medicine, Nashville, Tennessee; Vanderbilt Translational and Clinical Cardiovascular Research Center, Nashville, Tennessee
| | - James G Terry
- Vanderbilt University School of Medicine, Nashville, Tennessee; Vanderbilt Translational and Clinical Cardiovascular Research Center, Nashville, Tennessee
| | - Edmond K Kabagambe
- Vanderbilt University School of Medicine, Nashville, Tennessee; Vanderbilt Translational and Clinical Cardiovascular Research Center, Nashville, Tennessee; Jackson Heart Study Vanguard Center at Vanderbilt University, Nashville, Tennessee
| | - Thomas J Wang
- Vanderbilt University School of Medicine, Nashville, Tennessee; Vanderbilt Translational and Clinical Cardiovascular Research Center, Nashville, Tennessee
| | - Aldolfo Correa
- University of Mississippi Medical Center, Jackson, Mississippi
| | | | - Herman Taylor
- University of Mississippi Medical Center, Jackson, Mississippi; Morehouse School of Medicine, Atlanta, Georgia
| | - John Jeffrey Carr
- Vanderbilt University School of Medicine, Nashville, Tennessee; Vanderbilt Translational and Clinical Cardiovascular Research Center, Nashville, Tennessee
| |
Collapse
|
31
|
Malhotra R, Cavanaugh KL, Blot WJ, Ikizler TA, Lipworth L, Kabagambe EK. Higher protein intake is associated with increased risk for incident end-stage renal disease among blacks with diabetes in the Southern Community Cohort Study. Nutr Metab Cardiovasc Dis 2016; 26:1079-1087. [PMID: 27562875 PMCID: PMC5147554 DOI: 10.1016/j.numecd.2016.07.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Revised: 07/15/2016] [Accepted: 07/17/2016] [Indexed: 01/12/2023]
Abstract
BACKGROUND AND AIMS Diabetes, a risk factor for end-stage renal disease (ESRD), is associated with impaired protein metabolism. We investigated whether protein intake is associated with ESRD and whether the risk is higher among blacks with diabetes. METHODS AND RESULTS We conducted a nested case-control study of ESRD within the Southern Community Cohort Study, a prospective study of low-income blacks and whites in the southeastern US (2002-2009). Through 2012, 1057 incident ESRD cases were identified by linkage with the United States Renal Data System and matched to 3198 controls by age, sex, and race. Dietary intakes were assessed from a validated food frequency questionnaire at baseline. Odds ratios (ORs) and 95% confidence intervals (CIs) were computed from logistic regression models that included matching variables, BMI, education, income, hypertension, total energy intake, and percent energy from saturated and polyunsaturated fatty acids. Mean (±SD) daily energy intake from protein was higher among ESRD cases than controls (15.7 ± 3.3 vs. 15.1 ± 3.1%, P < 0.0001). For a 1% increase in percent energy intake from protein, the adjusted ORs (95% CIs) for ESRD were 1.06 (1.02-1.10) for blacks with diabetes, 1.02 (0.98-1.06) for blacks without diabetes, 0.99 (0.90-1.09) for whites with diabetes and 0.94 (0.84-1.06) for whites without diabetes. Protein intake in g/kg/day was also associated with ESRD (4th vs. 1st quartile OR = 1.76; 95% CI: 1.17-2.65). CONCLUSION Our results raise the possibility that among blacks with diabetes, increased dietary protein is associated with increased incidence of ESRD. Studies on how protein intake and metabolism affect ESRD are needed.
Collapse
Affiliation(s)
- R Malhotra
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Vanderbilt Center for Kidney Disease, Nashville, TN 37232, USA
| | - K L Cavanaugh
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Vanderbilt Center for Kidney Disease, Nashville, TN 37232, USA
| | - W J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA; International Epidemiology Institute, Rockville, MD 20850, USA
| | - T A Ikizler
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Vanderbilt Center for Kidney Disease, Nashville, TN 37232, USA
| | - L Lipworth
- Vanderbilt Center for Kidney Disease, Nashville, TN 37232, USA; Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - E K Kabagambe
- Vanderbilt Center for Kidney Disease, Nashville, TN 37232, USA; Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
| |
Collapse
|
32
|
Lipworth L, Abdel-Kader K, Morse J, Stewart TG, Kabagambe EK, Parr SK, Birdwell KA, Matheny ME, Hung AM, Blot WJ, Ikizler TA, Siew ED. High prevalence of non-steroidal anti-inflammatory drug use among acute kidney injury survivors in the southern community cohort study. BMC Nephrol 2016; 17:189. [PMID: 27881100 PMCID: PMC5122006 DOI: 10.1186/s12882-016-0411-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Accepted: 11/18/2016] [Indexed: 12/24/2022] Open
Abstract
Background Non-steroidal anti-inflammatory drugs (NSAIDs) are widely used and have been linked to acute kidney injury (AKI), chronic kidney disease (CKD) and cardiovascular disease (CVD). Patients who survive an AKI episode are at risk for future adverse kidney and cardiovascular outcomes. The objective of our study was to examine the prevalence and predictors of NSAID use among AKI survivors. Methods The Southern Community Cohort Study is a prospective study of low-income adults aged 40–79 in the southeastern US. Through linkage with Centers for Medicare and Medicaid Services, 826 participants with an AKI diagnosis (ICD-9 584.5-584.9) at any age prior to cohort enrollment were identified. At baseline, data were collected on regular use of prescription and over-the-counter NSAIDs, as well as demographic, medical and other characteristics. Additional comorbidities were ascertained via linkage with CMS or the US Renal Data System. Results One hundred fifty-four AKI survivors (19%) reported regular NSAID use at cohort enrollment (52 prescription, 81 OTC, 21 both) and the percentage of NSAID users did not vary by time since AKI event. Over 58% of users were taking NSAIDS regularly both before and after their AKI event. Hypertension (83%), arthritis (71%), heart failure (44%), CKD (36%) and diabetes (35%) were prevalent among NSAID users. In a multivariable model, history of arthritis (OR: 3.00; 95% CI: 1.92, 4.68) and acetaminophen use (OR: 2.43; 95% CI: 1.50, 3.93) were significantly associated with NSAID use, while prevalent CKD (OR: 0.63; 95% CI: 0.41, 0.98) and diabetes (OR: 0.44; 95% CI: 0.29, 0.69) were significantly inversely associated. Conclusions NSAID use among AKI survivors is common and highlights the need to understand physician and patient decision-making around NSAIDs and to develop effective strategies to reduce NSAID use in this vulnerable population. Electronic supplementary material The online version of this article (doi:10.1186/s12882-016-0411-7) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Loren Lipworth
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Nashville, TN, USA
| | - Khaled Abdel-Kader
- Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Nashville, TN, USA.,Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer Morse
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Thomas G Stewart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Edmond K Kabagambe
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Nashville, TN, USA
| | - Sharidan K Parr
- Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Nashville, TN, USA.,Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, TN, USA.,Tennessee Valley Healthcare System (TVHS) VA Medical Center, TVHS Geriatric Research Education and Clinical Centers (GRECC), Veteran's Health Administration, Nashville, TN, USA
| | - Kelly A Birdwell
- Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Nashville, TN, USA.,Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michael E Matheny
- Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Nashville, TN, USA.,Tennessee Valley Healthcare System (TVHS) VA Medical Center, TVHS Geriatric Research Education and Clinical Centers (GRECC), Veteran's Health Administration, Nashville, TN, USA
| | - Adriana M Hung
- Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Nashville, TN, USA.,Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, TN, USA.,Tennessee Valley Healthcare System (TVHS) VA Medical Center, TVHS Geriatric Research Education and Clinical Centers (GRECC), Veteran's Health Administration, Nashville, TN, USA
| | - William J Blot
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - T Alp Ikizler
- Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Nashville, TN, USA.,Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, TN, USA.,Tennessee Valley Healthcare System (TVHS) VA Medical Center, TVHS Geriatric Research Education and Clinical Centers (GRECC), Veteran's Health Administration, Nashville, TN, USA
| | - Edward D Siew
- Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Nashville, TN, USA. .,Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, TN, USA. .,Tennessee Valley Healthcare System (TVHS) VA Medical Center, TVHS Geriatric Research Education and Clinical Centers (GRECC), Veteran's Health Administration, Nashville, TN, USA.
| |
Collapse
|
33
|
Malhotra R, Cavanaugh KL, Blot WJ, Ikizler TA, Lipworth L, Kabagambe EK. Dietary polyunsaturated fatty acids and incidence of end-stage renal disease in the Southern Community Cohort Study. BMC Nephrol 2016; 17:152. [PMID: 27756237 PMCID: PMC5070154 DOI: 10.1186/s12882-016-0371-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Accepted: 10/11/2016] [Indexed: 01/28/2023] Open
Abstract
Background Whether polyunsaturated fatty acids (PUFA) are associated with end-stage renal disease (ESRD) in populations with a high burden of risk factors for kidney disease is unknown. We sought to determine whether PUFA intake is associated with ESRD. Methods We conducted a nested case–control study of ESRD within the Southern Community Cohort Study (SCCS), a prospective cohort of low-income blacks and whites in the southeastern US (2002–2009). Through 2012, 1,074 incident ESRD cases were identified by linkage with the United States Renal Data System and matched to 3,230 controls by age, sex and race. Dietary intake of total, n-3 or n-6 PUFA was assessed from a validated food frequency questionnaire administered at baseline. Odds ratios (ORs) and 95 % confidence intervals (CIs) were computed from logistic regression models that included matching variables, body mass index, smoking, diabetes, hypertension, education, income, total energy intake and percent energy from protein and saturated fat. Results The mean (SD) age of participants was 55 (9) years. Most participants were women (55 %), black (87 %), with hypertension (67 %) and on average obtained 8 % of their energy from PUFA. Higher PUFA intake was marginally associated with a lower risk of ESRD in adjusted analyses. The adjusted odds ratios (95 % confidence intervals) for ESRD for the 5th vs. 1st quintile of PUFA were 0.79 (0.60–1.05; Ptrend = 0.06) for total PUFA, 0.81 (0.61–1.06; Ptrend = 0.04) for n-6 PUFA and 0.93 (0.71–1.21; Ptrend = 0.45) for n-3 PUFA. Conclusions We observed a marginally significant inverse trend between dietary PUFA intake and ESRD incidence, mainly driven by n-6 fatty acid intake. Our findings require replication but suggest that a diet rich in n-6 PUFA may prevent ESRD development in a population with a high burden of kidney disease risk factors.
Collapse
Affiliation(s)
- Rakesh Malhotra
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA.,Present address: Division of Nephrology and Hypertension, University of California San Diego, San Diego, CA, 92161, USA
| | - Kerri L Cavanaugh
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA.,Vanderbilt Center for Kidney Disease, Nashville, TN, 37232, USA
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, 2525 West End Ave, Suite 800, Nashville, TN, 37203, USA.,International Epidemiology Institute, Rockville, MD, 20850, USA
| | - T Alp Ikizler
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA.,Vanderbilt Center for Kidney Disease, Nashville, TN, 37232, USA
| | - Loren Lipworth
- Vanderbilt Center for Kidney Disease, Nashville, TN, 37232, USA. .,Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, 2525 West End Ave, Suite 800, Nashville, TN, 37203, USA.
| | - Edmond K Kabagambe
- Vanderbilt Center for Kidney Disease, Nashville, TN, 37232, USA.,Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, 2525 West End Ave, Suite 800, Nashville, TN, 37203, USA
| |
Collapse
|
34
|
Ma Y, Follis JL, Smith CE, Tanaka T, Manichaikul AW, Chu AY, Samieri C, Zhou X, Guan W, Wang L, Biggs ML, Chen YDI, Hernandez DG, Borecki I, Chasman DI, Rich SS, Ferrucci L, Irvin MR, Aslibekyan S, Zhi D, Tiwari HK, Claas SA, Sha J, Kabagambe EK, Lai CQ, Parnell LD, Lee YC, Amouyel P, Lambert JC, Psaty BM, King IB, Mozaffarian D, McKnight B, Bandinelli S, Tsai MY, Ridker PM, Ding J, Mstat KL, Liu Y, Sotoodehnia N, Barberger-Gateau P, Steffen LM, Siscovick DS, Absher D, Arnett DK, Ordovás JM, Lemaitre RN. Interaction of methylation-related genetic variants with circulating fatty acids on plasma lipids: a meta-analysis of 7 studies and methylation analysis of 3 studies in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium. Am J Clin Nutr 2016; 103:567-78. [PMID: 26791180 PMCID: PMC5260796 DOI: 10.3945/ajcn.115.112987] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2015] [Accepted: 12/08/2015] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND DNA methylation is influenced by diet and single nucleotide polymorphisms (SNPs), and methylation modulates gene expression. OBJECTIVE We aimed to explore whether the gene-by-diet interactions on blood lipids act through DNA methylation. DESIGN We selected 7 SNPs on the basis of predicted relations in fatty acids, methylation, and lipids. We conducted a meta-analysis and a methylation and mediation analysis with the use of data from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium and the ENCODE (Encyclopedia of DNA Elements) consortium. RESULTS On the basis of the meta-analysis of 7 cohorts in the CHARGE consortium, higher plasma HDL cholesterol was associated with fewer C alleles at ATP-binding cassette subfamily A member 1 (ABCA1) rs2246293 (β = -0.6 mg/dL, P = 0.015) and higher circulating eicosapentaenoic acid (EPA) (β = 3.87 mg/dL, P = 5.62 × 10(21)). The difference in HDL cholesterol associated with higher circulating EPA was dependent on genotypes at rs2246293, and it was greater for each additional C allele (β = 1.69 mg/dL, P = 0.006). In the GOLDN (Genetics of Lipid Lowering Drugs and Diet Network) study, higher ABCA1 promoter cg14019050 methylation was associated with more C alleles at rs2246293 (β = 8.84%, P = 3.51 × 10(18)) and lower circulating EPA (β = -1.46%, P = 0.009), and the mean difference in methylation of cg14019050 that was associated with higher EPA was smaller with each additional C allele of rs2246293 (β = -2.83%, P = 0.007). Higher ABCA1 cg14019050 methylation was correlated with lower ABCA1 expression (r = -0.61, P = 0.009) in the ENCODE consortium and lower plasma HDL cholesterol in the GOLDN study (r = -0.12, P = 0.0002). An additional mediation analysis was meta-analyzed across the GOLDN study, Cardiovascular Health Study, and the Multi-Ethnic Study of Atherosclerosis. Compared with the model without the adjustment of cg14019050 methylation, the model with such adjustment provided smaller estimates of the mean plasma HDL cholesterol concentration in association with both the rs2246293 C allele and EPA and a smaller difference by rs2246293 genotypes in the EPA-associated HDL cholesterol. However, the differences between 2 nested models were NS (P > 0.05). CONCLUSION We obtained little evidence that the gene-by-fatty acid interactions on blood lipids act through DNA methylation.
Collapse
Affiliation(s)
- Yiyi Ma
- Biomedical Genetics, Department of Medicine, Boston University, Boston, MA; Jean Mayer USDA Human Nutrition Research Center on Aging and
| | - Jack L Follis
- Department of Mathematics, Computer Science and Cooperative Engineering, University of St. Thomas, Houston, TX
| | - Caren E Smith
- Jean Mayer USDA Human Nutrition Research Center on Aging and
| | | | - Ani W Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Audrey Y Chu
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Cecilia Samieri
- Inserm, U897, University of Bordeaux, Bordeaux, France; University of Bordeaux, ISPED, Bordeaux, France
| | - Xia Zhou
- Divisions of Epidemiology and Community Health and
| | | | - Lu Wang
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Mary L Biggs
- Departments of Biostatistics, Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Yii-Der I Chen
- Cedars-Sinai Medical Center, Medical Genetics Research Institute, Los Angeles, CA; Los Angeles Biomedical Institute, Harbor-University of California, Los Angeles Medical Center, Torrance, CA
| | - Dena G Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD
| | - Ingrid Borecki
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Daniel I Chasman
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | | | | | | | - Degui Zhi
- Biostatics, University of Alabama at Birmingham, Birmingham, AL
| | - Hemant K Tiwari
- Biostatics, University of Alabama at Birmingham, Birmingham, AL
| | | | - Jin Sha
- Departments of Epidemiology and
| | | | - Chao-Qiang Lai
- Jean Mayer USDA Human Nutrition Research Center on Aging and
| | | | - Yu-Chi Lee
- Jean Mayer USDA Human Nutrition Research Center on Aging and
| | - Philippe Amouyel
- Inserm, UMR1167, Lille, France; University of Lille, Lille, France; Institut Pasteur de Lille, Lille, France; Regional University Hospital of Lille, Lille, France
| | - Jean-Charles Lambert
- Inserm, UMR1167, Lille, France; University of Lille, Lille, France; Institut Pasteur de Lille, Lille, France
| | - Bruce M Psaty
- Epidemiology, Health Services, and Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Irena B King
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | - Barbara McKnight
- Departments of Biostatistics, Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | | | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Paul M Ridker
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | | | - Kurt Lohmant Mstat
- Epidemiology & Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Yongmei Liu
- Epidemiology & Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Pascale Barberger-Gateau
- Inserm, U897, University of Bordeaux, Bordeaux, France; University of Bordeaux, ISPED, Bordeaux, France
| | | | | | - Devin Absher
- Hudson Alpha Institute for Biotechnology, Huntsville, AL
| | | | - José M Ordovás
- Jean Mayer USDA Human Nutrition Research Center on Aging and Department of Epidemiology and Population Genetics, Cardiovascular Research Center, Madrid, Spain; and IMDEA Food Institute, Madrid, Spain
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| |
Collapse
|
35
|
Kiage JN, Sampson UKA, Lipworth L, Fazio S, Mensah GA, Yu Q, Munro H, Akwo EA, Dai Q, Blot WJ, Kabagambe EK. Polyunsaturated fat intake and mortality in non-statin users, is there an independent relationship? The authors reply. Nutr Metab Cardiovasc Dis 2016; 26:78-79. [PMID: 26552741 PMCID: PMC4807849 DOI: 10.1016/j.numecd.2015.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Accepted: 09/07/2015] [Indexed: 11/20/2022]
Affiliation(s)
- J N Kiage
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - U K A Sampson
- Center for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, Bethesda, MD 30105, USA
| | - L Lipworth
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA; Vanderbilt Center for Translational and Clinical Cardiovascular Research, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - S Fazio
- The Knight Cardiovascular Institute, Center for Preventive Cardiology, Oregon Health and Science University, Portland, OR 97239, USA
| | - G A Mensah
- Center for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, Bethesda, MD 30105, USA
| | - Q Yu
- Westat, Rockville, MD 20850, USA
| | - H Munro
- The International Epidemiology Institute, Rockville, MD 20850, USA
| | - E A Akwo
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA; Vanderbilt Center for Translational and Clinical Cardiovascular Research, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Q Dai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - W J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA; The International Epidemiology Institute, Rockville, MD 20850, USA
| | - E K Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA; Vanderbilt Center for Translational and Clinical Cardiovascular Research, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
| |
Collapse
|
36
|
Ma Y, Smith CE, Lai CQ, Irvin MR, Parnell LD, Lee YC, Pham LD, Aslibekyan S, Claas SA, Tsai MY, Borecki IB, Kabagambe EK, Ordovás JM, Absher DM, Arnett DK. The effects of omega-3 polyunsaturated fatty acids and genetic variants on methylation levels of the interleukin-6 gene promoter. Mol Nutr Food Res 2015; 60:410-9. [PMID: 26518637 DOI: 10.1002/mnfr.201500436] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 09/11/2015] [Accepted: 10/21/2015] [Indexed: 01/04/2023]
Abstract
SCOPE Omega-3 PUFAs (n-3 PUFAs) reduce IL-6 gene expression, but their effects on transcription regulatory mechanisms are unknown. We aimed to conduct an integrated analysis with both population and in vitro studies to systematically explore the relationships among n-3 PUFA, DNA methylation, single nucleotide polymorphisms (SNPs), gene expression, and protein concentration of IL6. METHODS AND RESULTS Using data in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study and the Encyclopedia of DNA Elements (ENCODE) consortium, we found that higher methylation of IL6 promoter cg01770232 was associated with higher IL-6 plasma concentration (p = 0.03) and greater IL6 gene expression (p = 0.0005). Higher circulating total n-3 PUFA was associated with lower cg01770232 methylation (p = 0.007) and lower IL-6 concentration (p = 0.02). Moreover, an allele of IL6 rs2961298 was associated with higher cg01770232 methylation (p = 2.55 × 10(-7) ). The association between n-3 PUFA and cg01770232 methylation was dependent on rs2961298 genotype (p = 0.02), but higher total n-3 PUFA was associated with lower cg01770232 methylation in the heterozygotes (p = 0.04) not in the homozygotes. CONCLUSION Higher n-3 PUFA is associated with lower methylation at IL6 promoter, which may be modified by IL6 SNPs.
Collapse
Affiliation(s)
- Yiyi Ma
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.,Biomedical Genetics, Department of Medicine, Boston University, Boston, MA, USA
| | - Caren E Smith
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Chao-Qiang Lai
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Laurence D Parnell
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Yu-Chi Lee
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Lucia D Pham
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Steven A Claas
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Ingrid B Borecki
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | | | - José M Ordovás
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.,Department of Epidemiology, Centro Nacional Investigaciones Cardiovasculares (CNIC), Madrid, Spain.,Instituto Madrileño de Estudios Avanzados en Alimentación (IMDEA-FOOD), Madrid, Spain
| | - Devin M Absher
- Hudson Alpha Institute for Biotechnology, Huntsville, AL, USA
| | - Donna K Arnett
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| |
Collapse
|
37
|
Kiage JN, Sampson UKA, Lipworth L, Fazio S, Mensah GA, Yu Q, Munro H, Akwo EA, Dai Q, Blot WJ, Kabagambe EK. Intake of polyunsaturated fat in relation to mortality among statin users and non-users in the Southern Community Cohort Study. Nutr Metab Cardiovasc Dis 2015; 25:1016-1024. [PMID: 26298428 PMCID: PMC4637133 DOI: 10.1016/j.numecd.2015.07.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Revised: 07/17/2015] [Accepted: 07/20/2015] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND AIMS Consumption of polyunsaturated fatty acids (PUFA), especially the n3-series, may protect against cardiovascular disease (CVD), but recent randomized studies have failed to demonstrate these benefits. One of the prevailing hypotheses is that PUFA intake may not confer benefits beyond those provided by statins, but studies comparing statin users to non-users with regard to effects of PUFA are lacking. METHODS AND RESULTS Black and white men and women (n = 69,559) in the Southern Community Cohort Study were studied. Cox regression models adjusting for age, sex, race, BMI, recruitment site, education, income, smoking, diabetes, and dietary variables were used. RESULTS At baseline the mean ± SD age was 52 ± 9 years, 60% of participants were women, 54% had hypertension and 16% used statins. We observed modest inverse associations between n3-PUFA and n6-PUFA intake with mortality among non-statin users but not among statin users. In adjusted analyses, the HRs (95% CIs) for all-cause mortality (6,396 deaths over a median of 6.4 years) comparing the highest to the lowest quintile were 0.90 (0.82-1.00) for n3-PUFA and 0.80 (0.70-0.92) for n6-PUFA among non-statin users, whereas they were 1.06 (0.87-1.28) and 0.96 (0.78-1.19) for n3-PUFA and n6-PUFA, respectively, among statin users. CONCLUSIONS Our results suggest potential benefits of PUFA consumption on mortality which are only apparent in the absence of statin therapy. It seems prudent to consider the potential benefit of PUFA consumption in the primary prevention of CVD among patients who are not candidates for statin therapy but are at increased risk for CVD and mortality.
Collapse
Affiliation(s)
- J N Kiage
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
| | - U K A Sampson
- Center for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, Bethesda, MD 30105, USA.
| | - L Lipworth
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA; Vanderbilt Center for Translational and Clinical Cardiovascular Research, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
| | - S Fazio
- The Knight Cardiovascular Institute, Center for Preventive Cardiology, Oregon Health and Science University, Portland, OR 97239, USA.
| | - G A Mensah
- Center for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, Bethesda, MD 30105, USA.
| | - Q Yu
- Westat, Rockville, MD 20850, USA.
| | - H Munro
- The International Epidemiology Institute, Rockville, MD 20850, USA.
| | - E A Akwo
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA; Vanderbilt Center for Translational and Clinical Cardiovascular Research, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
| | - Q Dai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
| | - W J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA; The International Epidemiology Institute, Rockville, MD 20850, USA.
| | - E K Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA; Vanderbilt Center for Translational and Clinical Cardiovascular Research, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
| |
Collapse
|
38
|
Zhu X, Shrubsole MJ, Ness RM, Hibler EA, Cai Q, Long J, Chen Z, Li G, Jiang M, Hou L, Kabagambe EK, Zhang B, Smalley WE, Edwards TL, Giovannucci EL, Zheng W, Dai Q. Calcium/magnesium intake ratio, but not magnesium intake, interacts with genetic polymorphism in relation to colorectal neoplasia in a two-phase study. Mol Carcinog 2015; 55:1449-57. [PMID: 26333203 DOI: 10.1002/mc.22387] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Revised: 07/24/2015] [Accepted: 08/03/2015] [Indexed: 12/20/2022]
Abstract
Some studies suggest that the calcium to magnesium ratio intakes modify the associations of calcium or magnesium with risk of colorectal adenoma, adenoma recurrence, and cancer. Parathyroid hormone (PTH) plays a key role in the regulation of homeostasis for both calcium and magnesium. We hypothesized that polymorphisms in PTH and 13 other genes may modify the association between the calcium/magnesium intake ratio and colorectal neoplasia risk. We conducted a two-phase study including 1336 cases and 2891 controls from the Tennessee Colorectal Polyp Study. In Phase I, we identified 19 SNPs that significantly interacted with the calcium/magnesium intake ratio in adenoma risk. In Phase II, rs11022858 in PTH was replicated. In combined analysis of phases I and II, we found high calcium/magnesium intake ratio tended to be associated with a reduced risk of colorectal adenoma (P for trend, 0.040) among those who carried the TT genotype in rs11022858. In stratified analyses, calcium intake (≥ 1000 mg/d) was significantly associated with 64% reduced adenoma risk (OR = 0.36 (95% CI : 0.18-0.74)) among those homozygous for the minor allele (TT genotype) (P for trend, 0.012), but not associated with risk in other genotypes (CC/TC). Conversely, we found that highest magnesium intake was significantly associated with 27% reduced risk (OR = 0.73 (95% CI : 0.54-0.97)) of colorectal adenoma (P for trend, 0.026) among those who possessed the CC/TC genotypes, particularly among those with the TC genotype, whereas magnesium intake was not linked to risk among those with the TT genotype. These findings, if confirmed, will help for the development of personalized prevention strategies for colorectal cancer. © 2015 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Xiangzhu Zhu
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee.,Department of Veterans Affairs, Tennessee Valley Healthcare System, Geriatric, Research, Education and Clinical Center (GRECC), Nashville, Tennessee
| | - Martha J Shrubsole
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee.,Department of Veterans Affairs, Tennessee Valley Healthcare System, Geriatric, Research, Education and Clinical Center (GRECC), Nashville, Tennessee.,Vanderbilt Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Reid M Ness
- Department of Medicine, Division of Gastroenterology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Elizabeth A Hibler
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Qiuyin Cai
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Jirong Long
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Zhi Chen
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Guoliang Li
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Ming Jiang
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Lifang Hou
- Institute for Public Health and Medicine, Northwestern University, Chicago, Illinois
| | - Edmond K Kabagambe
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Bing Zhang
- Department of Biomedical informatics, Vanderbilt University, Nashville, Tennessee
| | - Walter E Smalley
- Department of Veterans Affairs, Tennessee Valley Healthcare System, Geriatric, Research, Education and Clinical Center (GRECC), Nashville, Tennessee.,Department of Medicine, Division of Gastroenterology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Todd L Edwards
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee.,Department of Veterans Affairs, Tennessee Valley Healthcare System, Geriatric, Research, Education and Clinical Center (GRECC), Nashville, Tennessee.,Vanderbilt Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Edward L Giovannucci
- Departments of Nutrition and Epidemiology, Harvard School of Public Health, Boston, Massachusetts
| | - Wei Zheng
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee.,Department of Veterans Affairs, Tennessee Valley Healthcare System, Geriatric, Research, Education and Clinical Center (GRECC), Nashville, Tennessee.,Vanderbilt Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Qi Dai
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee. .,Department of Veterans Affairs, Tennessee Valley Healthcare System, Geriatric, Research, Education and Clinical Center (GRECC), Nashville, Tennessee. .,Vanderbilt Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.
| |
Collapse
|
39
|
Nair S, Slaughter JC, Terry JG, Appiah D, Ebong I, Wang E, Siscovick DS, Sternfeld B, Schreiner PJ, Lewis CE, Kabagambe EK, Wellons MF. Anti-mullerian hormone (AMH) is associated with natural menopause in a population-based sample: The CARDIA Women's Study. Maturitas 2015; 81:493-8. [PMID: 26139426 PMCID: PMC4515384 DOI: 10.1016/j.maturitas.2015.06.026] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Revised: 06/05/2015] [Accepted: 06/05/2015] [Indexed: 11/15/2022]
Abstract
OBJECTIVE AMH is associated with menopausal timing in several studies. In contrast to prior studies that were restricted to women with regular cycles, our objective was to examine this association in women with either regular or irregular menstrual cycles. METHODS CARDIA is a longitudinal, population-based study that recruited adults ages 18-30 when it began in 1985-1986. AMH was measured in serum stored in 2002-2003. Natural menopause was assessed by survey in 2005-2006 and 2010-2011. RESULTS Among 716 premenopausal women, median [25th, 75th] AMH was 0.77 [0.22-2.02]ng/dL at a median age of 42 [39-45] years. Twenty-nine percent of the women (n=207) reported natural menopause during 9 years of follow up. In fully adjusted discrete-time hazard models, a 0.5 ng/dL AMH decrement was associated with higher risk of menopause (p<0.001). Hazard ratios varied with time since AMH measurement. The HR (95% CI) for menopause was 8.1 (2.5-26.1) within 0-3 years and 2.3 (1.7-3.3) and 1.6 (1.3-2.1) for 3-6 and 6-9 years, respectively. When restricted to women with regular menses, results were similar (e.g., HR=6.1; 95% CI: 1.9-20.0 for 0-3 years). CONCLUSION AMH is independently associated with natural menopause. AMH appears most useful in identifying women at risk of menopause in the near future (within 3 years of AMH measurement).
Collapse
Affiliation(s)
- Sangeeta Nair
- Department of Radiology and Vanderbilt Translational and Clinical Cardiovascular Research Center (VTRACC), Vanderbilt University, 2525 West End Avenue, Suite 600, Nashville, TN 37203, United States
| | - James C Slaughter
- Department of Biostatistics, Vanderbilt University School of Medicine, 2525 West End Avenue, Suite 1100, Nashville, TN 37203, United States
| | - James G Terry
- Department of Radiology and Vanderbilt Translational and Clinical Cardiovascular Research Center (VTRACC), Vanderbilt University, 2525 West End Avenue, Suite 600, Nashville, TN 37203, United States
| | - Duke Appiah
- Division of Epidemiology and Community Health, University of Minnesota, 1300 S 2nd St., Suite 300, Minneapolis, MN 55454, United States
| | - Imo Ebong
- Loma Linda University Medical Center Transplantation Institute, 25865 Barton Road, Suite 101, Loma Linda, CA 92354, United States
| | - Erica Wang
- Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, San Diego, CA 90048, United States
| | | | - Barbara Sternfeld
- Kaiser Permanente, Division of Research, Epidemiology and Prevention, 2000 Broadway, Oakland, CA 94612, United States
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, University of Minnesota, 1300 S 2nd St., Suite 300, Minneapolis, MN 55454, United States
| | - Cora E Lewis
- Division of Preventive Medicine, Department of Medicine, University of Alabama Birmingham, 1717 11th Avenue South, Room 614, Birmingham, AL 35205, United States
| | - Edmond K Kabagambe
- Department of Medicine and Vanderbilt Translational and Clinical Cardiovascular Research Center (VTRACC), Vanderbilt University, 2525 West End Avenue, Suite 600, Nashville, TN 37203, United States
| | - Melissa F Wellons
- Department of Medicine and Vanderbilt Translational and Clinical Cardiovascular Research Center (VTRACC), Vanderbilt University, 2525 West End Avenue, Suite 600, Nashville, TN 37203, United States.
| |
Collapse
|
40
|
Smith CE, Follis JL, Nettleton JA, Foy M, Wu JHY, Ma Y, Tanaka T, Manichakul AW, Wu H, Chu AY, Steffen LM, Fornage M, Mozaffarian D, Kabagambe EK, Ferruci L, Chen YDI, Rich SS, Djoussé L, Ridker PM, Tang W, McKnight B, Tsai MY, Bandinelli S, Rotter JI, Hu FB, Chasman DI, Psaty BM, Arnett DK, King IB, Sun Q, Wang L, Lumley T, Chiuve SE, Siscovick DS, Ordovás JM, Lemaitre RN. Dietary fatty acids modulate associations between genetic variants and circulating fatty acids in plasma and erythrocyte membranes: Meta-analysis of nine studies in the CHARGE consortium. Mol Nutr Food Res 2015; 59:1373-83. [PMID: 25626431 PMCID: PMC4491005 DOI: 10.1002/mnfr.201400734] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2014] [Revised: 12/09/2014] [Accepted: 01/20/2015] [Indexed: 01/01/2023]
Abstract
SCOPE Tissue concentrations of omega-3 fatty acids may reduce cardiovascular disease risk, and genetic variants are associated with circulating fatty acids concentrations. Whether dietary fatty acids interact with genetic variants to modify circulating omega-3 fatty acids is unclear. We evaluated interactions between genetic variants and fatty acid intakes for circulating alpha-linoleic acid, eicosapentaenoic acid, docosahexaenoic acid, and docosapentaenoic acid. METHODS AND RESULTS We conducted meta-analyses (N = 11 668) evaluating interactions between dietary fatty acids and genetic variants (rs174538 and rs174548 in FADS1 (fatty acid desaturase 1), rs7435 in AGPAT3 (1-acyl-sn-glycerol-3-phosphate), rs4985167 in PDXDC1 (pyridoxal-dependent decarboxylase domain-containing 1), rs780094 in GCKR (glucokinase regulatory protein), and rs3734398 in ELOVL2 (fatty acid elongase 2)). Stratification by measurement compartment (plasma versus erthyrocyte) revealed compartment-specific interactions between FADS1 rs174538 and rs174548 and dietary alpha-linolenic acid and linoleic acid for docosahexaenoic acid and docosapentaenoic acid. CONCLUSION Our findings reinforce earlier reports that genetically based differences in circulating fatty acids may be partially due to differences in the conversion of fatty acid precursors. Further, fatty acids measurement compartment may modify gene-diet relationships, and considering compartment may improve the detection of gene-fatty acids interactions for circulating fatty acid outcomes.
Collapse
Affiliation(s)
- Caren E Smith
- Nutrition and Genomics Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA*
| | - Jack L Follis
- Department of Mathematics, Computer Science, and Cooperative Engineering, University of St. Thomas, Houston, TX, USA
| | - Jennifer A Nettleton
- Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Millennia Foy
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jason H Y Wu
- The George Institute for Global Health, The University of Sydney, Sydney, NSW, Australia
| | - Yiyi Ma
- Nutrition and Genomics Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA*
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Ani W Manichakul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, VA, USA
| | - Hongyu Wu
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
| | - Audrey Y Chu
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Lyn M Steffen
- Division of Epidemiology & Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Myriam Fornage
- Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dariush Mozaffarian
- Department of Epidemiology, Harvard School of Public Health, Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard School of Public Health, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Edmond K Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Luigi Ferruci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor, UCLA Medical Center, Torrance, CA, USA
| | - Stephen S Rich
- Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, VA, USA
| | - Luc Djoussé
- Division of Aging, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Boston Veterans Affairs Healthcare System, Boston, MA, USA
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Weihong Tang
- Division of Epidemiology & Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | | | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor, UCLA Medical Center, Torrance, CA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Harvard School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
- Department of Epidemiology, Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
- Department of Health Services, Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - Donna K Arnett
- Department of Epidemiology, Section on Statistical Genetics, and The Office of Energetics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Irena B King
- Department of Internal Medicine, Division of Endocrinology, University of New Mexico, Albuquerque, NM, USA
| | - Qi Sun
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
- Harvard School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Lu Wang
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Thomas Lumley
- Department of Statistics, University of Auckland, Auckland, New Zealand
| | - Stephanie E Chiuve
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
| | - David S Siscovick
- Cardiovascular Health Research Unit, Department of Medicine, Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
- Department of Epidemiology, Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - José M Ordovás
- Nutrition and Genomics Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA*
- Department of Epidemiology and Population Genetics, Centro Nacional Investigación Cardiovasculares (CNIC), Madrid, Spain
- Instituto Madrilenõs de Estudios Avanzados Alimentación, Madrid, Spain
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| |
Collapse
|
41
|
Dauriz M, Porneala BC, Guo X, Bielak LF, Peyser PA, Durant NH, Carnethon MR, Bonadonna RC, Bonora E, Bowden DW, Florez JC, Fornage M, Hivert MF, Jacobs DR, Kabagambe EK, Lewis CE, Murabito JM, Rasmussen-Torvik LJ, Rich SS, Vassy JL, Yao J, Carr JJ, Kardia SL, Siscovick D, O'Donnell CJ, Rotter JI, Dupuis J, Meigs JB. Association of a 62 Variants Type 2 Diabetes Genetic Risk Score With Markers of Subclinical Atherosclerosis: A Transethnic, Multicenter Study. Circ Cardiovasc Genet 2015; 8:507-15. [PMID: 25805414 PMCID: PMC4472563 DOI: 10.1161/circgenetics.114.000740] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Accepted: 03/09/2015] [Indexed: 12/19/2022]
Abstract
BACKGROUND Type 2 diabetes mellitus (T2D) and cardiovascular disease share risk factors and subclinical atherosclerosis (SCA) predicts events in those with and without diabetes mellitus. T2D genetic risk may predict both T2D and SCA. We hypothesized that greater T2D genetic risk is associated with higher extent of SCA. METHODS AND RESULTS In a cross-sectional analysis, including ≤9210 European Americans, 3773 African Americans, 1446 Hispanic Americans, and 773 Chinese Americans without known cardiovascular disease and enrolled in the Framingham Heart Study, Coronary Artery Risk Development in Young Adults, Multi-Ethnic Study of Atherosclerosis, and Genetic Epidemiology Network of Arteriopathy studies, we tested a 62 T2D-loci genetic risk score for association with measures of SCA, including coronary artery or abdominal aortic calcium score, common and internal carotid artery intima-media thickness, and ankle-brachial index. We used ancestry-stratified linear regression models, with random effects accounting for family relatedness when appropriate, applying a genetic-only (adjusted for sex) and a full SCA risk factors-adjusted model (significance, P<0.01=0.05/5, number of traits analyzed). An inverse association with coronary artery calcium score in Multi-Ethnic Study of Atherosclerosis Europeans (fully-adjusted P=0.004) and with common carotid artery intima-media thickness in the Framingham Heart Study (P=0.009) was not confirmed in other study cohorts, either separately or in meta-analysis. Secondary analyses showed no consistent associations with β-cell and insulin resistance genetic risk sub-scores in the Framingham Heart Study and in the Coronary Artery Risk Development in Young Adults. CONCLUSIONS SCA does not have a major genetic component linked to a burden of 62 T2D loci identified by large genome-wide association studies. A shared T2D-SCA genetic basis, if any, might become apparent from better functional information about both T2D and cardiovascular disease risk loci.
Collapse
Affiliation(s)
- Marco Dauriz
- General Medicine Division, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, University of Verona Medical School & Hospital Trust of Verona, Verona, Italy
| | - Bianca C. Porneala
- General Medicine Division, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Xiuqing Guo
- Institute for Translational Genomics & Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Lawrence F. Bielak
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI
| | - Patricia A. Peyser
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI
| | - Nefertiti H. Durant
- Division of Pediatrics & Adolescent Medicine, Department of Pediatrics, University of Alabama Birmingham School of Medicine, Birmingham, AL
| | - Mercedes R. Carnethon
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Riccardo C. Bonadonna
- Division of Endocrinology, Department of Clinical & Experimental Medicine, University of Parma School of Medicine & AOI of Parma, Parma, Italy
| | - Enzo Bonora
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, University of Verona Medical School & Hospital Trust of Verona, Verona, Italy
| | - Donald W. Bowden
- Centers for Diabetes Research & Human Genomics, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Biochemistry & Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jose C. Florez
- Department of Medicine, Harvard Medical School, Boston, MA
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Program in Medical & Population Genetics, Broad Institute, Cambridge, MA
| | - Myriam Fornage
- Institute of Molecular Medicine & Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX
| | - Marie-France Hivert
- Harvard Pilgrim Health Care Institute, Department of Population Medicine, Harvard Medical School, Boston, MA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
- Division of Endocrinology & Metabolism, Department of Medicine, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - David R. Jacobs
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Edmond K. Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, TN
| | - Cora E. Lewis
- Department of Epidemiology, University of Alabama Birmingham School of Public Health, Birmingham, AL
| | - Joanne M. Murabito
- Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine, Boston
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA
| | | | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Jason L. Vassy
- Department of Medicine, Harvard Medical School, Boston, MA
- Section of General Internal Medicine, VA Boston Healthcare System, Boston, MA
- Division of General Internal Medicine & Primary Care, Brigham and Women's Hospital, Boston, MA
| | - Jie Yao
- Institute for Translational Genomics & Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | | | - Sharon L.R. Kardia
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI
| | | | - Christopher J. O'Donnell
- Department of Medicine, Harvard Medical School, Boston, MA
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA
- Cardiology Division, Department of Medicine, Massachusetts General Hospital & Harvard Medical School, Boston, MA
| | - Jerome I. Rotter
- Institute for Translational Genomics & Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Josée Dupuis
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - James B. Meigs
- General Medicine Division, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| |
Collapse
|
42
|
Abstract
Background:
Alcohol consumption may reduce the risk of stroke. While both stroke and alcohol consumption patterns differ by race and sex, it is not known to what extent alcohol consumption contributes to the elevated risk of stroke in some groups, particularly in men and blacks in general.
Methods:
Risk of stroke was studied in 25,162 black and white adults aged 45+, in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Information on alcohol consumption was obtained by telephone interview at baseline. Participants are contacted every 6 months by telephone for self- or proxy-reported stroke; medical records are retrieved and adjudicated by physicians Proportional hazard models, adjusted for demographic, socioeconomic, and stroke risk factors , were used.
Results:
Participants’ mean age was 64.7 years; 40% were black and 56% were women with 867 stroke events and a median follow-up time of 7.6 years. Compared to current drinkers, non-drinkers had 36% higher hazards of incident stroke which was significantly higher consistent across all race-sex groups except black men. Risks were particularly high among past drinkers (50% higher than among current drinkers), as would be expected since many may have stopped drinking due to health problems. However, risks were also elevated among lifetime abstainers. Differences in stroke risks were explained by demographic and socioeconomic differences between drinkers and non-drinkers. Among those who are current drinkers, those who consumed <1 drink per week had significantly lower hazards of stroke than moderate drinkers, and these protective factors remained marginally significant after accounting for demographic, socioeconomic, behavioral and health characteristics.
Conclusions:
Results suggest that individuals who do not currently consume alcohol may experience higher risks of stroke, which may be due in part due to socio-demographic and other characteristics associated with consuming alcohol.
Collapse
Affiliation(s)
| | - Aleena Mosher
- Biostatistics, Univ of Alabama Birmingham, Birmingham, AL
| | - Suzanne E Judd
- Biostatistics, Univ of Alabama Birmingham, Birmingham, AL
| | - Lisa M Matz
- London Sch of Hygiene and Tropical Medicine, London, United Kingdom
| | | | | | | |
Collapse
|
43
|
Ma Y, Smith CE, Lai C, Irvin MR, Parnell LD, Lee Y, Pham L, Aslibekyan S, Claas SA, Tsai MY, Borecki IB, Kabagambe EK, Berciano S, Ordovás JM, Absher DM, Arnett DK. Genetic variants modify the effect of age on APOE methylation in the Genetics of Lipid Lowering Drugs and Diet Network study. Aging Cell 2015; 14:49-59. [PMID: 25476875 PMCID: PMC4324456 DOI: 10.1111/acel.12293] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2014] [Indexed: 11/28/2022] Open
Abstract
Although apolipoprotein E (APOE) variants are associated with age-related diseases, the underlying mechanism is unknown and DNA methylation may be a potential one. With methylation data, measured by the Infinium Human Methylation 450 array, from 993 participants (age ranging from 18 to 87 years) in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study, and from Encyclopedia of DNA Elements (ENCODE) consortium, combined with published methylation datasets, we described the methylation pattern of 13 CpG sites within APOE locus, their correlations with gene expression across cell types, and their relationships with age, plasma lipids, and sequence variants. Based on methylation levels and the genetic regions, we categorized the 13 APOE CpG sites into three groups: Group 1 showed hypermethylation (> 50%) and were located in the promoter region, Group 2 exhibited hypomethylation (< 50%) and were located in the first two exons and introns, and Group 3 showed hypermethylation (> 50%) and were located in the exon 4. APOE methylation was negatively correlated with gene expression (minimum r = -0.66, P = 0.004). APOE methylation was significantly associated with age (minimum P = 2.06E-08) and plasma total cholesterol (minimum P = 3.53E-03). Finally, APOE methylation patterns differed across APOE ε variants (minimum P = 3.51E-05) and the promoter variant rs405509 (minimum P = 0.01), which further showed a significant interaction with age (P = 0.03). These findings suggest that methylation may be a potential mechanistic explanation for APOE functions related to aging and call for further molecular mechanistic studies.
Collapse
Affiliation(s)
- Yiyi Ma
- Nutrition and Genomics Laboratory Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging at Tufts University Boston MA USA
| | - Caren E. Smith
- Nutrition and Genomics Laboratory Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging at Tufts University Boston MA USA
| | - Chao‐Qiang Lai
- Nutrition and Genomics Laboratory Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging at Tufts University Boston MA USA
| | - Marguerite R. Irvin
- Department of Epidemiology University of Alabama at Birmingham Birmingham AL USA
| | - Laurence D. Parnell
- Nutrition and Genomics Laboratory Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging at Tufts University Boston MA USA
| | - Yu‐Chi Lee
- Nutrition and Genomics Laboratory Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging at Tufts University Boston MA USA
| | - Lucia Pham
- Nutrition and Genomics Laboratory Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging at Tufts University Boston MA USA
| | - Stella Aslibekyan
- Department of Epidemiology University of Alabama at Birmingham Birmingham AL USA
| | - Steven A. Claas
- Department of Epidemiology University of Alabama at Birmingham Birmingham AL USA
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology University of Minnesota Minneapolis MN USA
| | - Ingrid B. Borecki
- Department of Genetics Washington University School of Medicine St. Louis MO USA
| | | | - Silvia Berciano
- Instituto Madrileño de Estudios Avanzados en Alimentación (IMDEA‐FOOD) Madrid Spain
| | - José M. Ordovás
- Nutrition and Genomics Laboratory Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging at Tufts University Boston MA USA
- Instituto Madrileño de Estudios Avanzados en Alimentación (IMDEA‐FOOD) Madrid Spain
- Department of Epidemiology Centro Nacional Investigaciones Cardiovasculares (CNIC) Madrid Spain
| | | | - Donna K. Arnett
- Department of Epidemiology University of Alabama at Birmingham Birmingham AL USA
| |
Collapse
|
44
|
Mozaffarian D, Kabagambe EK, Johnson CO, Lemaitre RN, Manichaikul A, Sun Q, Foy M, Wang L, Wiener H, Irvin MR, Rich SS, Wu H, Jensen MK, Chasman DI, Chu AY, Fornage M, Steffen L, King IB, McKnight B, Psaty BM, Djoussé L, Chen IYD, Wu JHY, Siscovick DS, Ridker PM, Tsai MY, Rimm EB, Hu FB, Arnett DK. Genetic loci associated with circulating phospholipid trans fatty acids: a meta-analysis of genome-wide association studies from the CHARGE Consortium. Am J Clin Nutr 2015; 101:398-406. [PMID: 25646338 PMCID: PMC4307209 DOI: 10.3945/ajcn.114.094557] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Circulating trans fatty acids (TFAs), which cannot be synthesized by humans, are linked to adverse health outcomes. Although TFAs are obtained from diet, little is known about subsequent influences (e.g., relating to incorporation, metabolism, or intercompetition with other fatty acids) that could alter circulating concentrations and possibly modulate or mediate impacts on health. OBJECTIVE The objective was to elucidate novel biologic pathways that may influence circulating TFAs by evaluating associations between common genetic variation and TFA biomarkers. DESIGN We performed meta-analyses using 7 cohorts of European-ancestry participants (n = 8013) having measured genome-wide variation in single-nucleotide polymorphisms (SNPs) and circulating TFA biomarkers (erythrocyte or plasma phospholipids), including trans-16:1n-7, total trans-18:1, trans/cis-18:2, cis/trans-18:2, and trans/trans-18:2. We further evaluated SNPs with genome-wide significant associations among African Americans (n = 1082), Chinese Americans (n = 669), and Hispanic Americans (n = 657) from 2 of these cohorts. RESULTS Among European-ancestry participants, 31 SNPs in or near the fatty acid desaturase (FADS) 1 and 2 cluster were associated with cis/trans-18:2; a top hit was rs174548 (β = 0.0035, P = 4.90 × 10(-15)), an SNP previously associated with circulating n-3 and n-6 polyunsaturated fatty acid concentrations. No significant association was identified for other TFAs. rs174548 in FADS1/2 was also associated with cis/trans-18:2 in Hispanic Americans (β = 0.0053, P = 1.05 × 10(-6)) and Chinese Americans (β = 0.0028, P = 0.002) but not African Americans (β = 0.0009, P = 0.34); however, in African Americans, fine mapping identified a top hit in FADS2 associated with cis/trans-18:2 (rs174579: β = 0.0118, P = 4.05 × 10(-5)). The association between rs174548 and cis/trans-18:2 remained significant after further adjustment for individual circulating n-3 and n-6 fatty acids, except arachidonic acid. After adjustment for arachidonic acid concentrations, the association between rs174548 and cis/trans-18:2 was nearly eliminated in European-ancestry participants (β-coefficient reduced by 86%), with similar reductions in Hispanic Americans and Chinese Americans. CONCLUSIONS Our findings provide novel evidence for genetic regulation of cis/trans-18:2 by the FADS1/2 cluster and suggest that this regulation may be influenced/mediated by concentrations of arachidonic acid, an n-6 polyunsaturated fat.
Collapse
Affiliation(s)
- Dariush Mozaffarian
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Edmond K Kabagambe
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Catherine O Johnson
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Rozenn N Lemaitre
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Ani Manichaikul
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Qi Sun
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Millennia Foy
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Lu Wang
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Howard Wiener
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Marguerite R Irvin
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Stephen S Rich
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Hongyu Wu
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Majken K Jensen
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Daniel I Chasman
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Audrey Y Chu
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Myriam Fornage
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Lyn Steffen
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Irena B King
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Barbara McKnight
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Bruce M Psaty
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Luc Djoussé
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Ida Y-D Chen
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Jason H Y Wu
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - David S Siscovick
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Paul M Ridker
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Michael Y Tsai
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Eric B Rimm
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Frank B Hu
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| | - Donna K Arnett
- From the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM); the Divisions of Cardiovascular Medicine (DM and PMR), Genetics (DIC), Preventive Medicine (LW, DIC, AYC, and PMR), and Aging (LD) and the Channing Division of Network Medicine (DM, QS, EBR, FBH), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; the Departments of Epidemiology (DM, EBR, and FBH) and Nutrition (DM, QS, H Wu, MKJ, EBR, and FBH), Harvard School of Public Health, Boston, MA; the Department of Medicine (COJ, RNL, BMP, and DSS), School of Medicine, and the Departments of Biostatistics (BM), Epidemiology (DSS and BMP), and Health Services (BMP), School of Public Health, University of Washington, Seattle, WA; the Group Health Collaborative Research Institute, Seattle, WA (BMP); Center for Public Health Genomics (AM and SSR) and the Division of Biostatistics (AM), Department of Public Health Sciences, University of Virginia, Charlottesville, VA; the Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (EKK); the Division of Epidemiology & Community Health, School of Public Health (LS) and Department of Laboratory Medicine & Pathology (MYT), University of Minnesota, Minneapolis, MN; Institute of Molecular Medicine (M Foy and M Fornage) and Division of Epidemiology (M Fornage), Human Genetics, and Environmental Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX; Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA (IY-DC); The George Institute for Global Health, University of Sydney, Australia (JHYW); and the Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL (H Wiener, MRI, and DKA)
| |
Collapse
|
45
|
Jahangir E, Lipworth L, Edwards TL, Kabagambe EK, Mumma MT, Mensah GA, Fazio S, Blot WJ, Sampson UKA. Smoking, sex, risk factors and abdominal aortic aneurysms: a prospective study of 18 782 persons aged above 65 years in the Southern Community Cohort Study. J Epidemiol Community Health 2015; 69:481-8. [PMID: 25563744 DOI: 10.1136/jech-2014-204920] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2014] [Accepted: 12/17/2014] [Indexed: 02/04/2023]
Abstract
BACKGROUND Abdominal aortic aneurysm (AAA) is a leading cause of death in the USA. We evaluated the incidence and predictors of AAA in a prospectively followed cohort. METHODS We calculated age-adjusted AAA incidence rates (IR) among 18 782 participants aged ≥65 years in the Southern Community Cohort Study who received Medicare coverage from 1999-2012, and assessed predictors of AAA using multivariable Cox proportional hazards models, overall and stratified by sex, adjusting for demographic, lifestyle, socioeconomic, medical and other factors. HRs and 95% CIs were calculated for AAA in relation to factors ascertained at enrolment. RESULTS Over a median follow-up of 4.94 years, 281 cases were identified. Annual IR was 153/100,000, 401, 354 and 174 among blacks, whites, men and women, respectively. AAA risk was lower among women (HR 0.48, 95% CI 0.36 to 0.65) and blacks (HR 0.51, 95% CI 0.37 to 0.69). Smoking was the strongest risk factor (former: HR 1.91, 95% CI 1.27 to 2.87; current: HR 5.55, 95% CI 3.67 to 8.40), and pronounced in women (former: HR 3.4, 95% CI 1.83 to 6.31; current: HR 9.17, 95% CI 4.95 to 17). A history of hypertension (HR 1.44, 95% CI 1.04 to 2.01) and myocardial infarction or coronary artery bypass surgery (HR 1.9, 95% CI 1.37 to 2.63) was negatively associated, whereas a body mass index ≥25 kg/m(2) (HR 0.72; 95% CI 0.53 to 0.98) was protective. College education (HR 0.6, 95% CI 0.37 to 0.97) and black race (HR 0.44, 95% CI 0.28 to 0.67) were protective among men. CONCLUSIONS Smoking is a major risk factor for incident AAA, with a strong and similar association between men and women. Further studies are needed to evaluate benefits of ultrasound screening for AAA among women smokers.
Collapse
Affiliation(s)
- Eiman Jahangir
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA John Ochsner Heart and Vascular Institute, Ochsner Clinical School- The University of Queensland School of Medicine, New Orleans, Louisiana, USA
| | - Loren Lipworth
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Todd L Edwards
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Edmond K Kabagambe
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Michael T Mumma
- International Epidemiology Institute, Rockville, Maryland, USA
| | - George A Mensah
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Sergio Fazio
- Center of Preventive Cardiology, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, Oregon, USA
| | - William J Blot
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA International Epidemiology Institute, Rockville, Maryland, USA
| | - Uchechukwu K A Sampson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| |
Collapse
|
46
|
Lemaitre RN, King IB, Kabagambe EK, Wu JHY, McKnight B, Manichaikul A, Guan W, Sun Q, Chasman DI, Foy M, Wang L, Zhu J, Siscovick DS, Tsai MY, Arnett DK, Psaty BM, Djousse L, Chen YDI, Tang W, Weng LC, Wu H, Jensen MK, Chu AY, Jacobs DR, Rich SS, Mozaffarian D, Steffen L, Rimm EB, Hu FB, Ridker PM, Fornage M, Friedlander Y. Genetic loci associated with circulating levels of very long-chain saturated fatty acids. J Lipid Res 2015; 56:176-84. [PMID: 25378659 PMCID: PMC4274065 DOI: 10.1194/jlr.m052456] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Revised: 10/23/2014] [Indexed: 01/20/2023] Open
Abstract
Very long-chain saturated fatty acids (VLSFAs) are saturated fatty acids with 20 or more carbons. In contrast to the more abundant saturated fatty acids, such as palmitic acid, there is growing evidence that circulating VLSFAs may have beneficial biological properties. Whether genetic factors influence circulating levels of VLSFAs is not known. We investigated the association of common genetic variation with plasma phospholipid/erythrocyte levels of three VLSFAs by performing genome-wide association studies in seven population-based cohorts comprising 10,129 subjects of European ancestry. We observed associations of circulating VLSFA concentrations with common variants in two genes, serine palmitoyl-transferase long-chain base subunit 3 (SPTLC3), a gene involved in the rate-limiting step of de novo sphingolipid synthesis, and ceramide synthase 4 (CERS4). The SPTLC3 variant at rs680379 was associated with higher arachidic acid (20:0 , P = 5.81 × 10(-13)). The CERS4 variant at rs2100944 was associated with higher levels of 20:0 (P = 2.65 × 10(-40)) and in analyses that adjusted for 20:0, with lower levels of behenic acid (P = 4.22 × 10(-26)) and lignoceric acid (P = 3.20 × 10(-21)). These novel associations suggest an inter-relationship of circulating VLSFAs and sphingolipid synthesis.
Collapse
Affiliation(s)
- Rozenn N. Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Irena B. King
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM
| | - Edmond K. Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Jason H. Y. Wu
- The George Institute for Global Health, University of Sydney, Sydney, Australia
| | - Barbara McKnight
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA
| | - Ani Manichaikul
- Center for Public Health Genomics University of Virginia, Charlottesville, VA
- Department of Public Health Sciences, Division of Biostatistics, University of Virginia, Charlottesville, VA
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Qi Sun
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Departments of Nutrition Harvard School of Public Health, Boston, MA
| | - Daniel I. Chasman
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Millennia Foy
- Institute of Molecular Medicine University of Texas Health Sciences Center-Houston, Houston, TX
| | - Lu Wang
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Jingwen Zhu
- Key Laboratory of Nutrition and Metabolism Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate University of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - David S. Siscovick
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Departments of Epidemiology University of Washington, Seattle, WA
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Donna K. Arnett
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Departments of Epidemiology University of Washington, Seattle, WA
- Health Services, University of Washington, Seattle, WA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA
| | - Luc Djousse
- Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Boston Veterans Healthcare System, Boston, MA
| | - Yii-Der I. Chen
- Medical Genetics Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Weihong Tang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Lu-Chen Weng
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Hongyu Wu
- Departments of Nutrition Harvard School of Public Health, Boston, MA
| | - Majken K. Jensen
- Departments of Nutrition Harvard School of Public Health, Boston, MA
| | - Audrey Y. Chu
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Stephen S. Rich
- Center for Public Health Genomics University of Virginia, Charlottesville, VA
| | - Dariush Mozaffarian
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Departments of Nutrition Harvard School of Public Health, Boston, MA
- Epidemiology, Harvard School of Public Health, Boston, MA
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | - Lyn Steffen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Eric B. Rimm
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Departments of Nutrition Harvard School of Public Health, Boston, MA
- Epidemiology, Harvard School of Public Health, Boston, MA
| | - Frank B. Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Departments of Nutrition Harvard School of Public Health, Boston, MA
- Epidemiology, Harvard School of Public Health, Boston, MA
| | - Paul M. Ridker
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Institute of Molecular Medicine University of Texas Health Sciences Center-Houston, Houston, TX
| | - Myriam Fornage
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA
- Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Sciences Center-Houston, Houston, TX
| | - Yechiel Friedlander
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| |
Collapse
|
47
|
McNaughton CD, Korman RR, Kabagambe EK, Wright SW. Health literacy and blood glucose among Guyanese emergency department patients without diagnosed diabetes: a cross-sectional study. Diabetol Metab Syndr 2015; 7:31. [PMID: 25859281 PMCID: PMC4391581 DOI: 10.1186/s13098-015-0028-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2014] [Accepted: 03/26/2015] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Low health literacy is associated with worse glycemic control among patients with diabetes; the relationship between health literacy and blood glucose among patients without diagnosed diabetes, particularly in resource-limited settings, is not known. Because emergency department patients are at risk for both low health literacy and undiagnosed diabetes, we examined their relationships among emergency department patients at the Georgetown Public Hospital Corporation in Guyana. METHODS We conducted a cross-sectional study across random time blocks from May to August 2012 among Guyanese emergency department patients without a diagnosis of diabetes. Health literacy was assessed by the Single Item Literacy Screener (SILS, range 1-5); low health literacy was defined as SILS ≥ 3. We examined the relationships among health literacy, random blood glucose (RBG), and point-of-care glycated hemoglobin (HbA1c). RESULTS Of the 228 enrolled patients, 125 (54%) were female, median age was 43 years (interquartile range 38 to 53), mean body mass index (BMI) was 25.6 kg/m(2) (standard deviation 6.8 kg/m(2)), and 103 (45.2%) had low health literacy. The receiver operating characteristic area under the curve for RBG to detect elevated HbA1c (≥48mmol/mol) was 0.94 (95% CI: 0.91-0.97). After adjustment for age, sex, BMI, ethnicity, and education, the odds of having HbA1c ≥ 48 mmol/mol, consistent with undiagnosed diabetes, rose with decreasing health literacy (OR 2.2, 95% CI 1.2-3.8, p = 0.007, per point decrease in literacy). CONCLUSION This pilot study of Guyanese emergency department patients without diagnosed diabetes found that low health literacy was common and was associated with higher HbA1c and random blood glucose.
Collapse
Affiliation(s)
- Candace D McNaughton
- />Vanderbilt University, 703 Oxford House, 1313 21st Avenue South, Nashville, TN USA
| | - Rosalynne R Korman
- />Vanderbilt University, 703 Oxford House, 1313 21st Avenue South, Nashville, TN USA
| | - Edmond K Kabagambe
- />Vanderbilt University, Suite 334J, 2525 West End Ave, Nashville, TN USA
| | - Seth W Wright
- />Vanderbilt University, 703 Oxford House, 1313 21st Avenue South, Nashville, TN USA
| |
Collapse
|
48
|
Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NME, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang JC, Chowdhury R, Courville KJ, Criqui MH, Cundiff DK, Dabhadkar KC, Dandona L, Davis A, Dayama A, Dharmaratne SD, Ding EL, Durrani AM, Esteghamati A, Farzadfar F, Fay DFJ, Feigin VL, Flaxman A, Forouzanfar MH, Goto A, Green MA, Gupta R, Hafezi-Nejad N, Hankey GJ, Harewood HC, Havmoeller R, Hay S, Hernandez L, Husseini A, Idrisov BT, Ikeda N, Islami F, Jahangir E, Jassal SK, Jee SH, Jeffreys M, Jonas JB, Kabagambe EK, Khalifa SEAH, Kengne AP, Khader YS, Khang YH, Kim D, Kimokoti RW, Kinge JM, Kokubo Y, Kosen S, Kwan G, Lai T, Leinsalu M, Li Y, Liang X, Liu S, Logroscino G, Lotufo PA, Lu Y, Ma J, Mainoo NK, Mensah GA, Merriman TR, Mokdad AH, Moschandreas J, Naghavi M, Naheed A, Nand D, Narayan KMV, Nelson EL, Neuhouser ML, Nisar MI, Ohkubo T, Oti SO, Pedroza A, Prabhakaran D, Roy N, Sampson U, Seo H, Sepanlou SG, Shibuya K, Shiri R, Shiue I, Singh GM, Singh JA, Skirbekk V, Stapelberg NJC, Sturua L, Sykes BL, Tobias M, Tran BX, Trasande L, Toyoshima H, van de Vijver S, Vasankari TJ, Veerman JL, Velasquez-Melendez G, Vlassov VV, Vollset SE, Vos T, Wang C, Wang X, Weiderpass E, Werdecker A, Wright JL, Yang YC, Yatsuya H, Yoon J, Yoon SJ, Zhao Y, Zhou M, Zhu S, Lopez AD, Murray CJL, Gakidou E. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014; 384:766-81. [PMID: 24880830 PMCID: PMC4624264 DOI: 10.1016/s0140-6736(14)60460-8] [Citation(s) in RCA: 7556] [Impact Index Per Article: 755.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
BACKGROUND In 2010, overweight and obesity were estimated to cause 3·4 million deaths, 3·9% of years of life lost, and 3·8% of disability-adjusted life-years (DALYs) worldwide. The rise in obesity has led to widespread calls for regular monitoring of changes in overweight and obesity prevalence in all populations. Comparable, up-to-date information about levels and trends is essential to quantify population health effects and to prompt decision makers to prioritise action. We estimate the global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013. METHODS We systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports. We used mixed effects linear regression to correct for bias in self-reports. We obtained data for prevalence of obesity and overweight by age, sex, country, and year (n=19,244) with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). FINDINGS Worldwide, the proportion of adults with a body-mass index (BMI) of 25 kg/m(2) or greater increased between 1980 and 2013 from 28·8% (95% UI 28·4-29·3) to 36·9% (36·3-37·4) in men, and from 29·8% (29·3-30·2) to 38·0% (37·5-38·5) in women. Prevalence has increased substantially in children and adolescents in developed countries; 23·8% (22·9-24·7) of boys and 22·6% (21·7-23·6) of girls were overweight or obese in 2013. The prevalence of overweight and obesity has also increased in children and adolescents in developing countries, from 8·1% (7·7-8·6) to 12·9% (12·3-13·5) in 2013 for boys and from 8·4% (8·1-8·8) to 13·4% (13·0-13·9) in girls. In adults, estimated prevalence of obesity exceeded 50% in men in Tonga and in women in Kuwait, Kiribati, Federated States of Micronesia, Libya, Qatar, Tonga, and Samoa. Since 2006, the increase in adult obesity in developed countries has slowed down. INTERPRETATION Because of the established health risks and substantial increases in prevalence, obesity has become a major global health challenge. Not only is obesity increasing, but no national success stories have been reported in the past 33 years. Urgent global action and leadership is needed to help countries to more effectively intervene. FUNDING Bill & Melinda Gates Foundation.
Collapse
Affiliation(s)
- Marie Ng
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Tom Fleming
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Blake Thomson
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Nicholas Graetz
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Erin C Mullany
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Stan Biryukov
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Semaw Ferede Abera
- School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia
| | - Jerry P Abraham
- University of Texas School of Medicine, San Antonio, TX, USA
| | - Niveen M E Abu-Rmeileh
- Institute of Community and Public Health, Birzeti University, Ramallah, West Bank, Occupied Palestinian Territory
| | - Tom Achoki
- Institute for Health Metrics and Evaluation, Seattle, WA, USA; Ministry of Health, Gaborone, Botswana
| | - Fadia S AlBuhairan
- King Abdulaziz Medical City, King Saud bin Abdulaziz University for Health Sciences and King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | | | | | | | | | | | | | | | | | - Simon Barquera
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | | | - Jed Blore
- University of Melbourne, Melbourne, VIC, Australia
| | | | | | | | | | | | | | | | | | - Lalit Dandona
- Institute for Health Metrics and Evaluation, Seattle, WA, USA; Public Health Foundation of India, New Delhi, India
| | | | | | | | - Eric L Ding
- Harvard School of Public Health, Boston, MA USA
| | - Adnan M Durrani
- National Institutes of Health, Bethesda and Montgomery, MD, USA
| | - Alireza Esteghamati
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Farshad Farzadfar
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, AUT University, Auckland, New Zealand
| | - Abraham Flaxman
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Atsushi Goto
- Department of Diabetes Research, National Center for Global Health and Medicine, Tokyo, Japan
| | | | | | - Nima Hafezi-Nejad
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Graeme J Hankey
- School of Medicine and Pharmacology, University of Western Australia, Perth, WA, Australia
| | | | | | | | - Lucia Hernandez
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | - Nayu Ikeda
- National Institute of Health and Nutrition, Tokyo, Japan
| | | | | | - Simerjot K Jassal
- VA San Diego, University of California San Diego, San Diego, CA, USA
| | - Sun Ha Jee
- Graduate School of Public Health, Yonsei University, Seoul, Korea
| | | | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | | | | | | | | | - Young-Ho Khang
- Institute of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea
| | - Daniel Kim
- Northeastern University, Boston, MA, USA
| | | | - Jonas M Kinge
- The Norwegian Institute of Public Health, Oslo, Norway
| | - Yoshihiro Kokubo
- Department of Preventive Cardiology, Department of Preventive Medicine and Epidemiologic Informatics, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Soewarta Kosen
- Center for Community Empowerment, Health Policy & Informatics, NIHRD, Jakarta, Indonesia
| | - Gene Kwan
- Boston Medical Center, Boston, MA, USA
| | - Taavi Lai
- Fourth View Consulting, Tallinn, Estonia
| | - Mall Leinsalu
- The National Institute for Health Development, Tallinn, Estonia
| | - Yichong Li
- National Center for Chronic and Non-communicable Disease Control and Prevention, Beijing, China
| | - Xiaofeng Liang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shiwei Liu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | | | | | - Yuan Lu
- Harvard School of Public Health, Boston, MA USA
| | - Jixiang Ma
- Chinese Center for Disease Control and Prevention, Beijing, China
| | | | - George A Mensah
- Center for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, Bethesda and Montgomery, MD, USA
| | | | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Aliya Naheed
- International Centre for Diarrhoeal Diseases Research, Dhaka, Bangladesh
| | | | | | | | | | | | | | - Samuel O Oti
- African Population and Health Research Center, Nairobi, Kenya
| | - Andrea Pedroza
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | | | - Hyeyoung Seo
- Department of Public Health, Graduate School, Seoul, Korea
| | - Sadaf G Sepanlou
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Rahman Shiri
- Finnish institute of Occupational Health, Helsinki, Finland
| | - Ivy Shiue
- Heriot-Watt University, Edinburgh, Scotland, UK
| | | | | | | | | | - Lela Sturua
- National Center for Disease Control and Public Health, Tbilisi, Georgia
| | | | - Martin Tobias
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Bach X Tran
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | | | | | | | | | | | - Stein Emil Vollset
- The Norwegian Institute of Public Health, Oslo, Norway; University of Bergen, Bergen, Norway
| | - Theo Vos
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - XiaoRong Wang
- Shandong University affiliated Jinan Central Hospital, Jinan, China
| | | | - Andrea Werdecker
- Institute of Medical Sociology and Social Medicine, Marburg, Hessen, Germany
| | | | | | | | - Jihyun Yoon
- Department of Preventive Medicine, Seoul, Korea
| | | | - Yong Zhao
- Chongqing Medical University, Chongqing, China
| | - Maigeng Zhou
- National Center for Chronic and Non-communicable Disease Control and Prevention, Beijing, China
| | - Shankuan Zhu
- Zhejiang University School of Public Health, Hangzhou, China
| | - Alan D Lopez
- University of Melbourne, Melbourne, VIC, Australia
| | | | | |
Collapse
|
49
|
Ng MCY, Shriner D, Chen BH, Li J, Chen WM, Guo X, Liu J, Bielinski SJ, Yanek LR, Nalls MA, Comeau ME, Rasmussen-Torvik LJ, Jensen RA, Evans DS, Sun YV, An P, Patel SR, Lu Y, Long J, Armstrong LL, Wagenknecht L, Yang L, Snively BM, Palmer ND, Mudgal P, Langefeld CD, Keene KL, Freedman BI, Mychaleckyj JC, Nayak U, Raffel LJ, Goodarzi MO, Chen YDI, Taylor HA, Correa A, Sims M, Couper D, Pankow JS, Boerwinkle E, Adeyemo A, Doumatey A, Chen G, Mathias RA, Vaidya D, Singleton AB, Zonderman AB, Igo RP, Sedor JR, Kabagambe EK, Siscovick DS, McKnight B, Rice K, Liu Y, Hsueh WC, Zhao W, Bielak LF, Kraja A, Province MA, Bottinger EP, Gottesman O, Cai Q, Zheng W, Blot WJ, Lowe WL, Pacheco JA, Crawford DC, Grundberg E, Rich SS, Hayes MG, Shu XO, Loos RJF, Borecki IB, Peyser PA, Cummings SR, Psaty BM, Fornage M, Iyengar SK, Evans MK, Becker DM, Kao WHL, Wilson JG, Rotter JI, Sale MM, Liu S, Rotimi CN, Bowden DW. Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes. PLoS Genet 2014; 10:e1004517. [PMID: 25102180 PMCID: PMC4125087 DOI: 10.1371/journal.pgen.1004517] [Citation(s) in RCA: 150] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Accepted: 06/05/2014] [Indexed: 12/11/2022] Open
Abstract
Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15×10−94<P<5×10−8, odds ratio (OR) = 1.09 to 1.36). Fine-mapping revealed that 88 of 158 previously identified T2D or glucose homeostasis loci demonstrated nominal to highly significant association (2.2×10−23 < locus-wide P<0.05). These novel and previously identified loci yielded a sibling relative risk of 1.19, explaining 17.5% of the phenotypic variance of T2D on the liability scale in African Americans. Overall, this study identified two novel susceptibility loci for T2D in African Americans. A substantial number of previously reported loci are transferable to African Americans after accounting for linkage disequilibrium, enabling fine mapping of causal variants in trans-ethnic meta-analysis studies. Despite the higher prevalence of type 2 diabetes (T2D) in African Americans than in Europeans, recent genome-wide association studies (GWAS) were examined primarily in individuals of European ancestry. In this study, we performed meta-analysis of 17 GWAS in 8,284 cases and 15,543 controls to explore the genetic architecture of T2D in African Americans. Following replication in additional 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry, we identified two novel and three previous reported T2D loci reaching genome-wide significance. We also examined 158 loci previously reported to be associated with T2D or regulating glucose homeostasis. While 56% of these loci were shared between African Americans and the other populations, the strongest associations in African Americans are often found in nearby single nucleotide polymorphisms (SNPs) instead of the original SNPs reported in other populations due to differential genetic architecture across populations. Our results highlight the importance of performing genetic studies in non-European populations to fine map the causal genetic variants.
Collapse
Affiliation(s)
- Maggie C. Y. Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America
| | - Brian H. Chen
- Program on Genomics and Nutrition, School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America
- Center for Metabolic Disease Prevention, School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America
| | - Jiang Li
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Wei-Min Chen
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Jiankang Liu
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Suzette J. Bielinski
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Lisa R. Yanek
- The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Michael A. Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Mary E. Comeau
- Center for Public Health Genomics, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Laura J. Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Richard A. Jensen
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Daniel S. Evans
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, United States of America
| | - Yan V. Sun
- Department of Epidemiology and Biomedical Informatics, Emory University, Atlanta, Georgia, United States of America
| | - Ping An
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Sanjay R. Patel
- Division of Sleep Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Loren L. Armstrong
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Lynne Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Lingyao Yang
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Beverly M. Snively
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Nicholette D. Palmer
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Poorva Mudgal
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Carl D. Langefeld
- Center for Public Health Genomics, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Keith L. Keene
- Department of Biology, Center for Health Disparities, East Carolina University, Greenville, North Carolina, United States of America
| | - Barry I. Freedman
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Josyf C. Mychaleckyj
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America
| | - Uma Nayak
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America
| | - Leslie J. Raffel
- Medical Genetics Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Mark O. Goodarzi
- Medical Genetics Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Y-D Ida Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Herman A. Taylor
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
- Jackson State University, Tougaloo College, Jackson, Mississippi, United States of America
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - David Couper
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - James S. Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America
| | - Ayo Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America
| | - Rasika A. Mathias
- The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Division of Allergy and Clinical Immunology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Dhananjay Vaidya
- The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Andrew B. Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Alan B. Zonderman
- Laboratory of Personality and Cognition, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America
| | - Robert P. Igo
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - John R. Sedor
- Department of Medicine, Case Western Reserve University, MetroHealth System campus, Cleveland, Ohio, United States of America
- Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | | | - Edmond K. Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - David S. Siscovick
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Barbara McKnight
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Kenneth Rice
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Wen-Chi Hsueh
- Department of Medicine, University of California, San Francisco, California, United States of America
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Lawrence F. Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Aldi Kraja
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Michael A. Province
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Erwin P. Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Omri Gottesman
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - William J. Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee; International Epidemiology Institute, Rockville, Maryland, United States of America
| | - William L. Lowe
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Jennifer A. Pacheco
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Dana C. Crawford
- Center for Human Genetics Research and Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America
| | | | | | - Elin Grundberg
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | | | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
| | - M. Geoffrey Hayes
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Ingrid B. Borecki
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Steven R. Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, United States of America
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
- Department of Health Services, University of Washington, Seattle, Washington, United States of America
| | - Myriam Fornage
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Sudha K. Iyengar
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Michele K. Evans
- Health Disparities Unit, National Institute on Aging, National Institutes of Health, Baltimore Maryland, United States of America
| | - Diane M. Becker
- The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - W. H. Linda Kao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Michèle M. Sale
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Medicine, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, Virginia, United States of America
| | - Simin Liu
- Program on Genomics and Nutrition, School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America
- Department of Epidemiology, University of California Los Angeles, Los Angeles, California, United States of America
- Departments of Epidemiology and Medicine, Brown University, Providence, Rhode Island, United States of America
- * E-mail: (SL); (CNR); (DWB)
| | - Charles N. Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America
- * E-mail: (SL); (CNR); (DWB)
| | - Donald W. Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- * E-mail: (SL); (CNR); (DWB)
| | | |
Collapse
|
50
|
Lee LT, Alexandrov AW, Howard VJ, Kabagambe EK, Hess MA, McLain RM, Safford MM, Howard G. Race, regionality and pre-diabetes in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. Prev Med 2014; 63:43-7. [PMID: 24594101 PMCID: PMC4621076 DOI: 10.1016/j.ypmed.2014.02.013] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2013] [Revised: 02/07/2014] [Accepted: 02/23/2014] [Indexed: 01/06/2023]
Abstract
OBJECTIVE To determine the association between race, region and pre-diabetes. METHOD The study used 2003-2007 United States baseline data from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study for this cross-sectional analysis. Participants in this study were 45years or older at recruitment. Logistic regression was used to assess whether race and region are associated with pre-diabetes independent of demographics, socioeconomic factors and risk factors. RESULTS Twenty-four percent of the study participants (n=19,889) had pre-diabetes. The odds ratio (95% confidence interval) for having pre-diabetes was 1.28 (1.19-1.36) for blacks relative to whites and 1.18 (1.10-1.26) for people living in the Stroke Belt region relative to the other parts of the United States. The odds of having pre-diabetes for Stroke Belt participants changed minimally after additional adjustment for race (OR=1.20; 1.13-1.28), age and sex (OR=1.24; 1.16-1.32), socioeconomic status (OR=1.22; 1.15-1.31) and risk factors (OR=1.26; 1.17-1.35). In the adjusted model, being black was independently associated with pre-diabetes (OR=1.19; 1.10-1.28). CONCLUSION The prevalence of pre-diabetes was higher for both blacks and whites living in the Stroke Belt relative to living outside the Stroke Belt, and the prevalence of pre-diabetes was higher for blacks independent of region.
Collapse
Affiliation(s)
- Loretta T Lee
- UAB School of Nursing, The University of Alabama at Birmingham, 1720 2nd Ave South, Birmingham, AL 35294-1210, USA.
| | - Anne W Alexandrov
- UAB School of Nursing, The University of Alabama at Birmingham, 1720 2nd Ave South, Birmingham, AL 35294-1210, USA.
| | - Virginia J Howard
- Ryals School for Public Health, The University of Alabama at Birmingham, 1720 2nd Ave South, Birmingham, AL 35294-0113, USA.
| | - Edmond K Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, 2525 West End Ave, Suite 316 Room 2, Nashville, TN 37203, USA.
| | - Mary A Hess
- UAB School of Nursing, The University of Alabama at Birmingham, 1720 2nd Ave South, Birmingham, AL 35294-1210, USA.
| | - Rhonda M McLain
- UAB School of Nursing, The University of Alabama at Birmingham, 1720 2nd Ave South, Birmingham, AL 35294-1210, USA.
| | - Monika M Safford
- Department of Medicine, Division of Preventive Medicine, The University of Alabama at Birmingham, 1720 2nd Ave South Birmingham, AL 35294-0113, USA.
| | - George Howard
- Ryals School for Public Health, The University of Alabama at Birmingham, 1720 2nd Ave South, Birmingham, AL 35294-0113, USA.
| |
Collapse
|