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Kobayashi Y, Yatsu K, Haruna A, Kawano R, Ozawa M, Haze T, Komiya S, Suzuki S, Ohki Y, Fujiwara A, Saka S, Hirawa N, Toya Y, Tamura K. ATP2B1 gene polymorphisms associated with resistant hypertension in the Japanese population. J Clin Hypertens (Greenwich) 2024; 26:355-362. [PMID: 38430457 PMCID: PMC11007809 DOI: 10.1111/jch.14785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 02/07/2024] [Accepted: 02/11/2024] [Indexed: 03/03/2024]
Abstract
Single-nucleotide polymorphisms (SNP) of ATP2B1 gene are associated with essential hypertension but their association with resistant hypertension (RHT) remains unexplored. The authors examined the relationship between ATP2B1 SNPs and RHT by genotyping 12 SNPs in ATP2B1 gene of 1124 Japanese individuals with lifestyle-related diseases. Patients with RHT had inadequate blood pressure (BP) control using three antihypertensive drugs or used ≥4 antihypertensive drugs. Patients with controlled hypertension had BP controlled using ≤3 antihypertensive drugs. The association between each SNP and RHT was analyzed by logistic regression. The final cohort had 888 (79.0%) and 43 (3.8%) patients with controlled hypertension and RHT, respectively. Compared with patients homozygous for the minor allele of each SNP in ATP2B1, a significantly higher number of patients carrying the major allele at 10 SNPs exhibited RHT (most significant at rs1401982: 5.8% vs. 0.8%, p = .014; least significant at rs11105378: 5.7% vs. 0.9%, p = .035; most nonsignificant at rs12817819: 5.1% vs. 10%, p = .413). After multivariate adjustment for age, sex, systolic BP, and other confounders, the association remained significant for rs2681472 and rs1401982 (OR: 7.60, p < .05 and OR: 7.62, p = .049, respectively). Additionally, rs2681472 and rs1401982 were in linkage disequilibrium with rs11105378. This study identified two ATP2B1 SNPs associated with RHT in the Japanese population. rs1401982 was most closely associated with RHT, and major allele carriers of rs1401982 required significantly more antihypertensive medications. Analysis of ATP2B1 SNPs in patients with hypertension can help in early prediction of RHT and identification of high-risk patients who are more likely to require more antihypertensive medications.
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Affiliation(s)
- Yusuke Kobayashi
- Center for Novel and Exploratory Clinical Trials (Y‐NEXT)Yokohama City UniversityYokohamaJapan
- Department of Medical Science and Cardiorenal MedicineYokohama City University Graduate School of MedicineYokohamaJapan
| | | | - Aiko Haruna
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Rina Kawano
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Moe Ozawa
- Department of Medical Science and Cardiorenal MedicineYokohama City University Graduate School of MedicineYokohamaJapan
- Department of Nephrology and HypertensionSaiseikai Yokohamashi Nanbu HospitalYokohamaJapan
| | - Tatsuya Haze
- Center for Novel and Exploratory Clinical Trials (Y‐NEXT)Yokohama City UniversityYokohamaJapan
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Shiro Komiya
- Department of Nephrology and HypertensionSaiseikai Yokohamashi Nanbu HospitalYokohamaJapan
| | - Shota Suzuki
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Yuki Ohki
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Akira Fujiwara
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Sanae Saka
- Department of Nephrology and HypertensionSaiseikai Yokohamashi Nanbu HospitalYokohamaJapan
| | - Nobuhito Hirawa
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Yoshiyuki Toya
- Department of Medical Science and Cardiorenal MedicineYokohama City University Graduate School of MedicineYokohamaJapan
| | - Kouichi Tamura
- Department of Medical Science and Cardiorenal MedicineYokohama City University Graduate School of MedicineYokohamaJapan
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Rahman MA, Cai C, Bo N, McNamara DM, Ding Y, Cooper GF, Lu X, Liu J. An individualized Bayesian method for estimating genomic variants of hypertension. BMC Genomics 2023; 23:863. [PMID: 37936055 PMCID: PMC10631115 DOI: 10.1186/s12864-023-09757-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 10/19/2023] [Indexed: 11/09/2023] Open
Abstract
BACKGROUND Genomic variants of the disease are often discovered nowadays through population-based genome-wide association studies (GWAS). Identifying genomic variations potentially underlying a phenotype, such as hypertension, in an individual is important for designing personalized treatment; however, population-level models, such as GWAS, may not capture all the important, individualized factors well. In addition, GWAS typically requires a large sample size to detect the association of low-frequency genomic variants with sufficient power. Here, we report an individualized Bayesian inference (IBI) algorithm for estimating the genomic variants that influence complex traits, such as hypertension, at the level of an individual (e.g., a patient). By modeling at the level of the individual, IBI seeks to find genomic variants observed in the individual's genome that provide a strong explanation of the phenotype observed in this individual. RESULTS We applied the IBI algorithm to the data from the Framingham Heart Study to explore the genomic influences of hypertension. Among the top-ranking variants identified by IBI and GWAS, there is a significant number of shared variants (intersection); the unique variants identified only by IBI tend to have relatively lower minor allele frequency than those identified by GWAS. In addition, IBI discovered more individualized and diverse variants that explain hypertension patients better than GWAS. Furthermore, IBI found several well-known low-frequency variants as well as genes related to blood pressure that GWAS missed in the same cohort. Finally, IBI identified top-ranked variants that predicted hypertension better than GWAS, according to the area under the ROC curve. CONCLUSIONS The results support IBI as a promising approach for complementing GWAS, especially in detecting low-frequency genomic variants as well as learning personalized genomic variants of clinical traits and disease, such as the complex trait of hypertension, to help advance precision medicine.
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Affiliation(s)
- Md Asad Rahman
- Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO, USA
| | - Chunhui Cai
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Na Bo
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Dennis M McNamara
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ying Ding
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Gregory F Cooper
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Xinghua Lu
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jinling Liu
- Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO, USA.
- Department of Biological Sciences, Missouri University of Science and Technology, Rolla, MO, USA.
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA.
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Mouat JS, Li X, Neier K, Zhu Y, Mordaunt CE, La Merrill MA, Lehmler HJ, Jones MP, Lein PJ, Schmidt RJ, LaSalle JM. Networks of placental DNA methylation correlate with maternal serum PCB concentrations and child neurodevelopment. ENVIRONMENTAL RESEARCH 2023; 220:115227. [PMID: 36608759 PMCID: PMC10518186 DOI: 10.1016/j.envres.2023.115227] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/21/2022] [Accepted: 01/03/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Gestational exposure to polychlorinated biphenyls (PCBs) has been associated with elevated risk for neurodevelopmental disorders. Placental epigenetics may serve as a potential mechanism of risk or marker of altered placental function. Prior studies have associated differential placental DNA methylation with maternal PCB exposure or with increased risk of autism spectrum disorder (ASD). However, sequencing-based placental methylomes have not previously been tested for simultaneous associations with maternal PCB levels and child neurodevelopmental outcomes. OBJECTIVES We aimed to identify placental DNA methylation patterns associated with maternal PCB levels and child neurodevelopmental outcomes in the high-risk ASD MARBLES cohort. METHODS We measured 209 PCB congeners in 104 maternal serum samples collected at delivery. We identified networks of DNA methylation from 147 placenta samples using the Comethyl R package, which performs weighted gene correlation network analysis for whole genome bisulfite sequencing data. We tested placental DNA methylation modules for association with maternal serum PCB levels, child neurodevelopment, and other participant traits. RESULTS PCBs 153 + 168, 170, 180 + 193, and 187 were detected in over 50% of maternal serum samples and were highly correlated with one another. Consistent with previous findings, maternal age was the strongest predictor of serum PCB levels, alongside year of sample collection, pre-pregnancy BMI, and polyunsaturated fatty acid levels. Twenty seven modules of placental DNA methylation were identified, including five which significantly correlated with one or more PCBs, and four which correlated with child neurodevelopment. Two modules associated with maternal PCB levels as well as child neurodevelopment, and mapped to CSMD1 and AUTS2, genes previously implicated in ASD and identified as differentially methylated regions in mouse brain and placenta following gestational PCB exposure. CONCLUSIONS Placental DNA co-methylation modules were associated with maternal PCBs and child neurodevelopment. Methylation of CSMD1 and AUTS2 could be markers of altered placental function and/or ASD risk following maternal PCB exposure.
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Affiliation(s)
- Julia S Mouat
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, CA, USA; Perinatal Origins of Disparities Center, University of California, Davis, CA, USA; Genome Center, University of California, Davis, CA, USA; MIND Institute, University of California, Davis, CA, USA
| | - Xueshu Li
- Department of Occupational and Environmental Health, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Kari Neier
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, CA, USA; Perinatal Origins of Disparities Center, University of California, Davis, CA, USA; Genome Center, University of California, Davis, CA, USA; MIND Institute, University of California, Davis, CA, USA
| | - Yihui Zhu
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, CA, USA; Perinatal Origins of Disparities Center, University of California, Davis, CA, USA; Genome Center, University of California, Davis, CA, USA; MIND Institute, University of California, Davis, CA, USA
| | - Charles E Mordaunt
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, CA, USA; Perinatal Origins of Disparities Center, University of California, Davis, CA, USA; Genome Center, University of California, Davis, CA, USA; MIND Institute, University of California, Davis, CA, USA
| | - Michele A La Merrill
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA; Department of Environmental Toxicology, University of California, Davis, CA, USA
| | - Hans-Joachim Lehmler
- Department of Occupational and Environmental Health, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Michael P Jones
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Pamela J Lein
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA; MIND Institute, University of California, Davis, CA, USA; Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA, USA
| | - Rebecca J Schmidt
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA; MIND Institute, University of California, Davis, CA, USA; Department of Public Health Sciences, School of Medicine, University of California, Davis, CA, USA
| | - Janine M LaSalle
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, CA, USA; Perinatal Origins of Disparities Center, University of California, Davis, CA, USA; Genome Center, University of California, Davis, CA, USA; MIND Institute, University of California, Davis, CA, USA.
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Exploring the Genetic Association between Obesity and Serum Lipid Levels Using Bivariate Methods. Twin Res Hum Genet 2022; 25:234-244. [PMID: 36606461 DOI: 10.1017/thg.2022.39] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
It is crucial to understand the genetic mechanisms and biological pathways underlying the relationship between obesity and serum lipid levels. Structural equation models (SEMs) were constructed to calculate heritability for body mass index (BMI), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and the genetic connections between BMI and the four classes of lipids using 1197 pairs of twins from the Chinese National Twin Registry (CNTR). Bivariate genomewide association studies (GWAS) were performed to identify genetic variants associated with BMI and lipids using the records of 457 individuals, and the results were further validated in 289 individuals. The genetic background affecting BMI may differ by gender, and the heritability of males and females was 71% (95% CI [.66, .75]) and 39% (95% CI [.15, .71]) respectively. BMI was positively correlated with TC, TG and LDL-C in phenotypic and genetic correlation, while negatively correlated with HDL-C. There were gender differences in the correlation between BMI and lipids. Bivariate GWAS analysis and validation stage found 7 genes (LOC105378740, LINC02506, CSMD1, MELK, FAM81A, ERAL1 and MIR144) that were possibly related to BMI and lipid levels. The significant biological pathways were the regulation of cholesterol reverse transport and the regulation of high-density lipoprotein particle clearance (p < .001). BMI and blood lipid levels were affected by genetic factors, and they were genetically correlated. There might be gender differences in their genetic correlation. Bivariate GWAS analysis found MIR144 gene and its related biological pathways may influence obesity and lipid levels.
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A Review of Vascular Traits and Assessment Techniques, and Their Heritability. Artery Res 2022. [DOI: 10.1007/s44200-022-00016-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Abstract
AbstractVarious tools are available to assess atherosclerosis, arterial stiffening, and endothelial function. They offer utility in the assessment of hypertensive phenotypes, in cardiovascular risk prediction, and as surrogate endpoints in clinical trials. We explore the relative influence of participant genetics, with reference to large-scale genomic studies, population-based cohorts, and candidate gene studies. We find heritability estimates highest for carotid intima-media thickness (CIMT 35–65%), followed by pulse wave velocity as a measure of arterial stiffness (26–43%), and flow mediated dilatation as a surrogate for endothelial function (14–39%); data were lacking for peripheral artery tonometry. We furthermore examine genes and polymorphisms relevant to each technique. We conclude that CIMT and pulse wave velocity dominate the existing evidence base, with fewer published genomic linkages for measures of endothelial function. We finally make recommendations regarding planning and reporting of data relating to vascular assessment techniques, particularly when genomic data are also available, to facilitate integration of these tools into cardiovascular disease research.
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Jung J, Kim H. Shared genetic etiology and antagonistic relationship of plasma renin activity and systolic blood pressure in a Korean cohorts. Genomics 2022; 114:110334. [PMID: 35278618 DOI: 10.1016/j.ygeno.2022.110334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 02/11/2022] [Accepted: 03/06/2022] [Indexed: 01/14/2023]
Abstract
Despite extensive studies on blood pressure, its genetic risk factors remain uncertain. Even one of the most researched blood pressure-related traits - renin - is not fully understood genetically. Here, we determine the genetic relationship and associated predisposition between blood pressure and baseline renin. In 8840 Korean individuals, we observed a strong negative genome-wide genetic correlation (rg = -0.484) between systolic blood pressure (SBP) and plasma renin activity (PRA), suggesting that antagonistic genetic signals explain the variance in the two traits. We found 51 significant pleiotropic SNPs affecting the two traits, which could contribute to the Renin-Angiotensin-Aldosterone System (RAAS). Our findings provide insight into studies on RAAS by identifying the genome-wide relationship and susceptibility loci of SBP and PRA.
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Affiliation(s)
- Jaehoon Jung
- Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul 151-742, Republic of Korea; eGnome, 26 Beobwon-ro, Songpa-gu, Seoul 05836, Republic of Korea.
| | - Heebal Kim
- Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul 151-742, Republic of Korea; eGnome, 26 Beobwon-ro, Songpa-gu, Seoul 05836, Republic of Korea; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-742, Republic of Korea.
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Cataloging the potential SNPs (single nucleotide polymorphisms) associated with quantitative traits, viz. BMI (body mass index), IQ (intelligence quotient) and BP (blood pressure): an updated review. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2022. [DOI: 10.1186/s43042-022-00266-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Single nucleotide polymorphism (SNP) variants are abundant, persistent and widely distributed across the genome and are frequently linked to the development of genetic diseases. Identifying SNPs that underpin complex diseases can aid scientists in the discovery of disease-related genes by allowing for early detection, effective medication and eventually disease prevention.
Main body
Various SNP or polymorphism-based studies were used to categorize different SNPs potentially related to three quantitative traits: body mass index (BMI), intelligence quotient (IQ) and blood pressure, and then uncovered common SNPs for these three traits. We employed SNPedia, RefSNP Report, GWAS Catalog, Gene Cards (Data Bases), PubMed and Google Scholar search engines to find relevant material on SNPs associated with three quantitative traits. As a result, we detected three common SNPs for all three quantitative traits in global populations: SNP rs6265 of the BDNF gene on chromosome 11p14.1, SNP rs131070325 of the SL39A8 gene on chromosome 4p24 and SNP rs4680 of the COMT gene on chromosome 22q11.21.
Conclusion
In our review, we focused on the prevalent SNPs and gene expression activities that influence these three quantitative traits. These SNPs have been used to detect and map complex, common illnesses in communities for homogeneity testing and pharmacogenetic studies. High blood pressure, diabetes and heart disease, as well as BMI, schizophrenia and IQ, can all be predicted using common SNPs. Finally, the results of our work can be used to find common SNPs and genes that regulate these three quantitative features across the genome.
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Althwab SA, Ahmed AA, Rasheed Z, Alkhowailed M, Hershan A, Alsagaby S, Alblihed MA, Alaqeel A, Alrehaili J, Alhumaydhi FA, Alkhamiss A, Abdulmonem WA. ATP2B1 genotypes rs2070759 and rs2681472 polymorphisms and risk of hypertension in Saudi population. NUCLEOSIDES NUCLEOTIDES & NUCLEIC ACIDS 2021; 40:1075-1089. [PMID: 34486947 DOI: 10.1080/15257770.2021.1973034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
This study examined an association of ATP2B1 gene polymorphism and hypertension in the Saudi population. The 246 hypertensive cases and 300 healthy human controls were genotyped. The results showed that genotypes rs.207075 (CA + AA) [p = 0.05; OR: 95% CI, 1.5:(1.0 to 2.4) and p = 0.001, OR: 95% CI, 2.4: (1.5 to 4.0) and rs2681472 (CT + TT) [p = 0.05; OR: 95% CI, 1.5 (1.0 to 2.4) and p = 0.006 OR: 95% CI, 2.0 (1.2 to 3.1) respectively] associated with the risk of hypertension. Cases carrying the recessive models: [(CA + AA)/(CT + TT)] and [(AA)/(TT)] genotypes confer a strong susceptibility risk of hypertension [p = 0.002; OR: (95%CI) 1.8 (1.2 to 2.6) and p = 0.001; OR: (95%CI) 2.6 (1.5 to 4.7) respectively]. However, cases with body-mass-index (BMI)<25, carrying homozygous mutant genotypes [AA, rs2070759, p = 0.007; OR: (95%CI) 2.75(1.37 to 5.5) and (TT, rs2681472, p = 0.05; OR: (95%CI) 1.96 (1.03 to 3.72)] as well as A allele of rs2070759 [p = 0.006; OR: (95%CI) 1.62 (1.16 to 2.25)] and T allele of rs2681472, p = 0.04, 1.43(1.03 to 1.98)] showed a significant association with high risk of hypertension. In short, a significant association between ATP2B1 gene polymorphism and risk of hypertension was noticed. In addition, individuals carrying recessive genotypes have greater risk in developing hypertension than those carrying dominant genotypes. Moreover, cases with high-risk BMI associated with ATP2B1 variants may play a critical role in developing hypertension.Supplemental data for this article is available online at https://doi.org/10.1080/15257770.2021.1973034 .
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Affiliation(s)
- Sami A Althwab
- Department of Food Science and Human Nutrition, College of Agriculture and Veterinary Medicine, Qassim University, Buraidah, Saudi Arabia
| | - Ahmed A Ahmed
- Biotechnology Unit, Center of Medical Research, College of Medicine, Qassim University, Buraidah, Saudi Arabia
| | - Zafar Rasheed
- Department of Medical Biochemistry, College of Medicine, Qassim University, Buraidah, Saudi Arabia
| | - Mohammad Alkhowailed
- Department of Dermatology, College of Medicine, Qassim University, Buraidah, Saudi Arabia
| | - Almonther Hershan
- Department of Medical Microbiology and Parasitology, College of Medicine, The University of Jeddah, Jeddah, Saudi Arabia
| | - Suliman Alsagaby
- Department of Medical Laboratories, Central Biosciences Research Laboratories, College of Science in Al Zulfi, Majmaah University, Al Majma'ah, Saudi Arabia
| | - Mohamd A Alblihed
- Department of Medical Microbiology, School of Medicine, Taif University, Taif, Saudi Arabia
| | - Aqeel Alaqeel
- Department of Pediatrics, College of Medicine, Qassim University, Buraidah, Saudi Arabia
| | - Jihad Alrehaili
- Pathology Department, Imam Mohammad Ibn Saud University, Riyadh, Saudi Arabia
| | - Fahad A Alhumaydhi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraidah, Saudi Arabia
| | - Abdullah Alkhamiss
- Department of Pathology, College of Medicine, Qassim University, Buraidah, Saudi Arabia
| | - Waleed Al Abdulmonem
- Department of Pathology, College of Medicine, Qassim University, Buraidah, Saudi Arabia
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Niu M, Wang Y, Zhang L, Tu R, Liu X, Hou J, Huo W, Mao Z, Wang C, Bie R. Identifying the predictive effectiveness of a genetic risk score for incident hypertension using machine learning methods among populations in rural China. Hypertens Res 2021; 44:1483-1491. [PMID: 34480134 DOI: 10.1038/s41440-021-00738-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/31/2021] [Accepted: 08/04/2021] [Indexed: 12/17/2022]
Abstract
Current studies have shown the controversial effect of genetic risk scores (GRSs) in hypertension prediction. Machine learning methods are used extensively in the medical field but rarely in the mining of genetic information. This study aims to determine whether genetic information can improve the prediction of incident hypertension using machine learning approaches in a prospective study. The study recruited 4592 subjects without hypertension at baseline from a cohort study conducted in rural China. A polygenic risk score (PGGRS) was calculated using 13 SNPs. According to a ratio of 7:3, subjects were randomly allocated to the train and test datasets. Models with and without the PGGRS were established using the train dataset with Cox regression, artificial neural network (ANN), random forest (RF), and gradient boosting machine (GBM) methods. The discrimination and reclassification of models were estimated using the test dataset. The PGGRS showed a significant association with the risk of incident hypertension (HR (95% CI), 1.046 (1.004, 1.090), P = 0.031) irrespective of baseline blood pressure. Models that did not include the PGGRS achieved AUCs (95% CI) of 0.785 (0.763, 0.807), 0.790 (0.768, 0.811), 0.838 (0.817, 0.857), and 0.854 (0.835, 0.873) for the Cox, ANN, RF, and GBM methods, respectively. The addition of the PGGRS led to the improvement of the AUC by 0.001, 0.008, 0.023, and 0.017; IDI by 1.39%, 2.86%, 4.73%, and 4.68%; and NRI by 25.05%, 13.01%, 44.87%, and 22.94%, respectively. Incident hypertension risk was better predicted by the traditional+PGGRS model, especially when machine learning approaches were used, suggesting that genetic information may have the potential to identify new hypertension cases using machine learning methods in resource-limited areas. CLINICAL TRIAL REGISTRATION: The Henan Rural Cohort Study has been registered at the Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). http://www.chictr.org.cn/showproj.aspx?proj=11375 .
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Affiliation(s)
- Miaomiao Niu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yikang Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Liying Zhang
- School of Information Engineering, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Runqi Tu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
| | - Ronghai Bie
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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Xie M, Yuan S, Zeng Y, Zheng C, Yang Y, Dong Y, He Q. ATP2B1 gene polymorphisms rs2681472 and rs17249754 are associated with susceptibility to hypertension and blood pressure levels: A systematic review and meta-analysis. Medicine (Baltimore) 2021; 100:e25530. [PMID: 33847678 PMCID: PMC8052043 DOI: 10.1097/md.0000000000025530] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 03/23/2021] [Indexed: 01/04/2023] Open
Abstract
OBJECTIVE The present study aimed to conduct a systematic review and meta-analysis to evaluate the relationships between ATP2B1 gene polymorphisms with blood pressure (BP) level and susceptibility to hypertension. METHODS PubMed, Web of Science, Embase and China National Knowledge Infrastructure (CNKI) Databases were systematically searched by 2 independent researchers to screen studies on ATP2B1 gene polymorphisms and BP related phenotypes. The records retrieval period was limited from the formation of the database to March 4, 2021. Pooled odds rations (ORs) or β and their 95% confidence intervals (95%CI) were calculated to assess the association between ATP2B1 gene polymorphisms and the risk of hypertension or BP levels. Publication bias and sensitivity analysis were conducted to find potential bias. All the statistical analysis were conducted with Stata version 11.0 software. RESULTS A total of 15 articles were ultimately included in the present study, including 15 polymorphisms of ATP2B1 gene. Nine articles (N = 65,362) reported the polymorphism rs17249754, and 7 articles(N = 91,997) reported rs2681472 (both loci were reported in 1 article). Meta-analysis showed that rs17249754 (G/A) and rs2681472 (A/G) were associated with the susceptibility to hypertension (rs17249754: OR = 1.19, 95%CI: 1.10-1.28; rs2681472: OR = 1.15, 95%CI: 1.12-1.17), and were positively associated with systolic BP (SBP) and diastolic blood pressure (DBP) (rs17249754: SBP, β=1.01, 95%CI: 0.86-1.16, DBP, β=0.48, 95%CI: 0.30-0.66; rs2681472: SBP, β=0.92, 95%CI: 0.77-1.07, DBP, β=0.50, 95%CI: 0.42-0.58) in the additive genetic model. Subgroup analysis stratified by race, population, sample size, and BP measurement method revealed that the association between A allele in rs2681472 polymorphism and risk of hypertension was slightly stronger in European (EUR) populations (OR = 1.16, 95%CI: 1.13-1.20) than in East Asians (OR = 1.14, 95%CI: 1.10-1.17). While in East Asians, relation between rs17249754 with risk of hypertension (OR = 1.19, 95%CI: 1.10-1.28) is stronger than rs2681472 (OR = 1.14, 95%CI: 1.10-1.17). CONCLUSIONS Our study demonstrated that ATP2B1 gene polymorphism rs2681472 and rs17249754 were associated with BP levels and the susceptibility to hypertension.
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Affiliation(s)
- Ming Xie
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha
| | - Shuqian Yuan
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha
| | - Yuan Zeng
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha
| | - Chanjuan Zheng
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha
| | - Yide Yang
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha
- Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Quanyuan He
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha
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11
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Wenric S, Jeff JM, Joseph T, Yee MC, Belbin GM, Owusu Obeng A, Ellis SB, Bottinger EP, Gottesman O, Levin MA, Kenny EE. Rapid response to the alpha-1 adrenergic agent phenylephrine in the perioperative period is impacted by genomics and ancestry. THE PHARMACOGENOMICS JOURNAL 2021; 21:174-189. [PMID: 33168928 PMCID: PMC7997806 DOI: 10.1038/s41397-020-00194-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Revised: 08/21/2020] [Accepted: 10/05/2020] [Indexed: 11/10/2022]
Abstract
The emergence of genomic data in biobanks and health systems offers new ways to derive medically important phenotypes, including acute phenotypes occurring during inpatient clinical care. Here we study the genetic underpinnings of the rapid response to phenylephrine, an α1-adrenergic receptor agonist commonly used to treat hypotension during anesthesia and surgery. We quantified this response by extracting blood pressure (BP) measurements 5 min before and after the administration of phenylephrine. Based on this derived phenotype, we show that systematic differences exist between self-reported ancestry groups: European-Americans (EA; n = 1387) have a significantly higher systolic response to phenylephrine than African-Americans (AA; n = 1217) and Hispanic/Latinos (HA; n = 1713) (31.3% increase, p value < 6e-08 and 22.9% increase, p value < 5e-05 respectively), after adjusting for genetic ancestry, demographics, and relevant clinical covariates. We performed a genome-wide association study to investigate genetic factors underlying individual differences in this derived phenotype. We discovered genome-wide significant association signals in loci and genes previously associated with BP measured in ambulatory settings, and a general enrichment of association in these genes. Finally, we discovered two low frequency variants, present at ~1% in EAs and AAs, respectively, where patients carrying one copy of these variants show no phenylephrine response. This work demonstrates our ability to derive a quantitative phenotype suited for comparative statistics and genome-wide association studies from dense clinical and physiological measures captured for managing patients during surgery. We identify genetic variants underlying non response to phenylephrine, with implications for preemptive pharmacogenomic screening to improve safety during surgery.
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Affiliation(s)
- Stephane Wenric
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Janina M Jeff
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas Joseph
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Muh-Ching Yee
- Stanford Functional Genomics Facility, Stanford, CA, USA
- Invitae Corporation, San Francisco, CA, USA
| | - Gillian M Belbin
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aniwaa Owusu Obeng
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Pharmacy Department, The Mount Sinai Hospital, New York, NY, USA
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stephen B Ellis
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Erwin P Bottinger
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Omri Gottesman
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew A Levin
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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12
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Mathkar PP, Chen X, Sulovari A, Li D. Characterization of Hepatitis B Virus Integrations Identified in Hepatocellular Carcinoma Genomes. Viruses 2021; 13:v13020245. [PMID: 33557409 PMCID: PMC7915589 DOI: 10.3390/v13020245] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/31/2021] [Accepted: 02/02/2021] [Indexed: 12/19/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. Almost half of HCC cases are associated with hepatitis B virus (HBV) infections, which often lead to HBV sequence integrations in the human genome. Accurate identification of HBV integration sites at a single nucleotide resolution is critical for developing a better understanding of the cancer genome landscape and of the disease itself. Here, we performed further analyses and characterization of HBV integrations identified by our recently reported VIcaller platform in recurrent or known HCC genes (such as TERT, MLL4, and CCNE1) as well as non-recurrent cancer-related genes (such as CSMD2, NKD2, and RHOU). Our pathway enrichment analysis revealed multiple pathways involving the alcohol dehydrogenase 4 gene, such as the metabolism pathways of retinol, tyrosine, and fatty acid. Further analysis of the HBV integration sites revealed distinct patterns involving the integration upper breakpoints, integrated genome lengths, and integration allele fractions between tumor and normal tissues. Our analysis also implies that the VIcaller method has diagnostic potential through discovering novel clonal integrations in cancer-related genes. In conclusion, although VIcaller is a hypothesis free virome-wide approach, it can still be applied to accurately identify genome-wide integration events of a specific candidate virus and their integration allele fractions.
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Affiliation(s)
- Pranav P. Mathkar
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT 05405, USA; (P.P.M.); (A.S.)
| | - Xun Chen
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT 05405, USA; (P.P.M.); (A.S.)
- Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto 606-8501, Japan
- Correspondence: (X.C.); (D.L.)
| | - Arvis Sulovari
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT 05405, USA; (P.P.M.); (A.S.)
- Cajal Neuroscience Inc., Seattle, WA 98102, USA
| | - Dawei Li
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT 05405, USA; (P.P.M.); (A.S.)
- Department of Biomedical Science, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA
- Correspondence: (X.C.); (D.L.)
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13
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Coelho NR, Matos C, Pimpão AB, Correia MJ, Sequeira CO, Morello J, Pereira SA, Monteiro EC. AHR canonical pathway: in vivo findings to support novel antihypertensive strategies. Pharmacol Res 2021; 165:105407. [PMID: 33418029 DOI: 10.1016/j.phrs.2020.105407] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Revised: 12/27/2020] [Accepted: 12/28/2020] [Indexed: 12/23/2022]
Abstract
Essential hypertension (HTN) is a disease where genetic and environmental factors interact to produce a high prevalent set of almost indistinguishable phenotypes. The weak definition of what is under the umbrella of HTN is a consequence of the lack of knowledge on the players involved in environment-gene interaction and their impact on blood pressure (BP) and mechanisms. The disclosure of these mechanisms that sense and (mal)adapt to toxic-environmental stimuli might at least determine some phenotypes of essential HTN and will have important therapeutic implications. In the present manuscript, we looked closer to the environmental sensor aryl hydrocarbon receptor (AHR), a ligand-activated transcription factor involved in cardiovascular physiology, but better known by its involvement in biotransformation of xenobiotics through its canonical pathway. This review aims to disclose the contribution of the AHR-canonical pathway to HTN. For better mirror the complexity of the mechanisms involved in BP regulation, we privileged evidence from in vivo studies. Here we ascertained the level of available evidence and a comprehensive characterization of the AHR-related phenotype of HTN. We reviewed clinical and rodent studies on AHR-HTN genetic association and on AHR ligands and their impact on BP. We concluded that AHR is a druggable mechanistic linker of environmental exposure to HTN. We conclude that is worth to investigate the canonical pathway of AHR and the expression/polymorphisms of its related genes and/or other biomarkers (e.g. tryptophan-related ligands), in order to identify patients that may benefit from an AHR-centered antihypertensive treatment.
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Affiliation(s)
- Nuno R Coelho
- Translational Pharmacology Lab, CEDOC, Chronic Diseases Research Centre, NOVA Medical School
- Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo Mártires da Pátria, 130, Lisboa, 1169-056, Portugal
| | - Clara Matos
- Translational Pharmacology Lab, CEDOC, Chronic Diseases Research Centre, NOVA Medical School
- Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo Mártires da Pátria, 130, Lisboa, 1169-056, Portugal
| | - António B Pimpão
- Translational Pharmacology Lab, CEDOC, Chronic Diseases Research Centre, NOVA Medical School
- Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo Mártires da Pátria, 130, Lisboa, 1169-056, Portugal
| | - M João Correia
- Translational Pharmacology Lab, CEDOC, Chronic Diseases Research Centre, NOVA Medical School
- Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo Mártires da Pátria, 130, Lisboa, 1169-056, Portugal
| | - Catarina O Sequeira
- Translational Pharmacology Lab, CEDOC, Chronic Diseases Research Centre, NOVA Medical School
- Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo Mártires da Pátria, 130, Lisboa, 1169-056, Portugal
| | - Judit Morello
- Translational Pharmacology Lab, CEDOC, Chronic Diseases Research Centre, NOVA Medical School
- Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo Mártires da Pátria, 130, Lisboa, 1169-056, Portugal
| | - Sofia A Pereira
- Translational Pharmacology Lab, CEDOC, Chronic Diseases Research Centre, NOVA Medical School
- Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo Mártires da Pátria, 130, Lisboa, 1169-056, Portugal.
| | - Emília C Monteiro
- Translational Pharmacology Lab, CEDOC, Chronic Diseases Research Centre, NOVA Medical School
- Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo Mártires da Pátria, 130, Lisboa, 1169-056, Portugal
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Masilela C, Pearce B, Ongole JJ, Adeniyi OV, Benjeddou M. Genomic Association of Single Nucleotide Polymorphisms with Blood Pressure Response to Hydrochlorothiazide among South African Adults with Hypertension. J Pers Med 2020; 10:jpm10040267. [PMID: 33316892 PMCID: PMC7768450 DOI: 10.3390/jpm10040267] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 11/16/2020] [Accepted: 11/23/2020] [Indexed: 12/13/2022] Open
Abstract
This study described single nucleotide polymorphisms (SNPs) in hydrochlorothiazide-associated genes and further assessed their correlation with blood pressure control among South African adults living with hypertension. A total of 291 participants belonging to the Nguni tribes of South Africa on treatment for hypertension were recruited. Nineteen SNPs in hydrochlorothiazide pharmacogenes were selected and genotyped using MassArray. Uncontrolled hypertension was defined as blood pressure ≥140/90 mmHg. The association between genotypes, alleles and blood pressure response to treatment was determined by conducting multivariate logistic regression model analysis. The majority of the study participants were female (73.19%), Xhosa (54.98%) and had blood pressure ≥140/90 mmHg (68.73%). Seventeen SNPs were observed among the Xhosa tribe, and two (rs2070744 and rs7297610) were detected among Swati and Zulu participants. Furthermore, alleles T of rs2107614 (AOR = 6.69; 95%CI 1.42–31.55; p = 0.016) and C of rs2776546 (AOR = 3.78; 95%CI 1.04–13.74; p = 0.043) were independently associated with uncontrolled hypertension, whilst rs2070744 TC (AOR = 38.76; 95%CI 5.54–270.76; p = 0.00023), CC (AOR = 10.44; 95%CI 2.16–50.29; p = 0.003) and allele T of rs7297610 (AOR = 1.86; 95%CI 1.09–3.14; p = 0.023) were significantly associated with uncontrolled hypertension among Zulu and Swati participants. We confirmed the presence of SNPs associated with hydrochlorothiazide, some of which were significantly associated with uncontrolled hypertension in the study sample. Findings open doors for further studies on personalized therapy for hypertension in the country.
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Affiliation(s)
- Charity Masilela
- Department of Biotechnology, University of the Western Cape, Bellville 7530, South Africa
| | - Brendon Pearce
- Department of Biotechnology, University of the Western Cape, Bellville 7530, South Africa
| | - Joven Jebio Ongole
- Center for Teaching and Learning, Department of Family Medicine, Piet Retief Hospital, Mkhondo 2380, South Africa
| | | | - Mongi Benjeddou
- Department of Biotechnology, University of the Western Cape, Bellville 7530, South Africa
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15
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Kim GT, Kim IS, Jee SH, Sull JW. Effects of ATP2B1 Variants on the Systolic and Diastolic Blood Pressure according to the Degree of Obesity in the South Korean Population. KOREAN JOURNAL OF CLINICAL LABORATORY SCIENCE 2020. [DOI: 10.15324/kjcls.2020.52.1.45] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- Gi Tae Kim
- Department of Senior Healthcare, General Graduate School, Eulji University, Seongnam, Korea
| | - In Sik Kim
- Department of Senior Healthcare, General Graduate School, Eulji University, Seongnam, Korea
- Depratment of Biomedical Laboratory Science, College of Health Science, Eulji University, Seongnam, Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Jae Woong Sull
- Department of Senior Healthcare, General Graduate School, Eulji University, Seongnam, Korea
- Depratment of Biomedical Laboratory Science, College of Health Science, Eulji University, Seongnam, Korea
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16
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Chen J, Sitsel A, Benoy V, Sepúlveda MR, Vangheluwe P. Primary Active Ca 2+ Transport Systems in Health and Disease. Cold Spring Harb Perspect Biol 2020; 12:cshperspect.a035113. [PMID: 31501194 DOI: 10.1101/cshperspect.a035113] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Calcium ions (Ca2+) are prominent cell signaling effectors that regulate a wide variety of cellular processes. Among the different players in Ca2+ homeostasis, primary active Ca2+ transporters are responsible for keeping low basal Ca2+ levels in the cytosol while establishing steep Ca2+ gradients across intracellular membranes or the plasma membrane. This review summarizes our current knowledge on the three types of primary active Ca2+-ATPases: the sarco(endo)plasmic reticulum Ca2+-ATPase (SERCA) pumps, the secretory pathway Ca2+- ATPase (SPCA) isoforms, and the plasma membrane Ca2+-ATPase (PMCA) Ca2+-transporters. We first discuss the Ca2+ transport mechanism of SERCA1a, which serves as a reference to describe the Ca2+ transport of other Ca2+ pumps. We further highlight the common and unique features of each isoform and review their structure-function relationship, expression pattern, regulatory mechanisms, and specific physiological roles. Finally, we discuss the increasing genetic and in vivo evidence that links the dysfunction of specific Ca2+-ATPase isoforms to a broad range of human pathologies, and highlight emerging therapeutic strategies that target Ca2+ pumps.
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Affiliation(s)
- Jialin Chen
- Laboratory of Cellular Transport Systems, Department of Cellular and Molecular Medicine, KU Leuven, 3000 Leuven, Belgium
| | - Aljona Sitsel
- Laboratory of Cellular Transport Systems, Department of Cellular and Molecular Medicine, KU Leuven, 3000 Leuven, Belgium
| | - Veronick Benoy
- Laboratory of Cellular Transport Systems, Department of Cellular and Molecular Medicine, KU Leuven, 3000 Leuven, Belgium
| | - M Rosario Sepúlveda
- Department of Cell Biology, Faculty of Sciences, University of Granada, 18071 Granada, Spain
| | - Peter Vangheluwe
- Laboratory of Cellular Transport Systems, Department of Cellular and Molecular Medicine, KU Leuven, 3000 Leuven, Belgium
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17
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Sung YJ, de las Fuentes L, Winkler TW, Chasman DI, Bentley AR, Kraja AT, Ntalla I, Warren HR, Guo X, Schwander K, Manning AK, Brown MR, Aschard H, Feitosa MF, Franceschini N, Lu Y, Cheng CY, Sim X, Vojinovic D, Marten J, Musani SK, Kilpeläinen TO, Richard MA, Aslibekyan S, Bartz TM, Dorajoo R, Li C, Liu Y, Rankinen T, Smith AV, Tajuddin SM, Tayo BO, Zhao W, Zhou Y, Matoba N, Sofer T, Alver M, Amini M, Boissel M, Chai JF, Chen X, Divers J, Gandin I, Gao C, Giulianini F, Goel A, Harris SE, Hartwig FP, He M, Horimoto ARVR, Hsu FC, Jackson AU, Kammerer CM, Kasturiratne A, Komulainen P, Kühnel B, Leander K, Lee WJ, Lin KH, Luan J, Lyytikäinen LP, McKenzie CA, Nelson CP, Noordam R, Scott RA, Sheu WHH, Stančáková A, Takeuchi F, van der Most PJ, Varga TV, Waken RJ, Wang H, Wang Y, Ware EB, Weiss S, Wen W, Yanek LR, Zhang W, Zhao JH, Afaq S, Alfred T, Amin N, Arking DE, Aung T, Barr RG, Bielak LF, Boerwinkle E, Bottinger EP, Braund PS, Brody JA, Broeckel U, Cade B, Campbell A, Canouil M, Chakravarti A, Cocca M, Collins FS, Connell JM, de Mutsert R, de Silva HJ, Dörr M, Duan Q, Eaton CB, Ehret G, Evangelou E, Faul JD, Forouhi NG, Franco OH, Friedlander Y, Gao H, Gigante B, Gu CC, Gupta P, Hagenaars SP, Harris TB, He J, Heikkinen S, Heng CK, Hofman A, Howard BV, Hunt SC, Irvin MR, Jia Y, Katsuya T, Kaufman J, Kerrison ND, Khor CC, Koh WP, Koistinen HA, Kooperberg CB, Krieger JE, Kubo M, Kutalik Z, Kuusisto J, Lakka TA, Langefeld CD, Langenberg C, Launer LJ, Lee JH, Lehne B, Levy D, Lewis CE, Li Y, Lim SH, Liu CT, Liu J, Liu J, Liu Y, Loh M, Lohman KK, Louie T, Mägi R, Matsuda K, Meitinger T, Metspalu A, Milani L, Momozawa Y, Mosley, Jr TH, Nalls MA, Nasri U, O'Connell JR, Ogunniyi A, Palmas WR, Palmer ND, Pankow JS, Pedersen NL, Peters A, Peyser PA, Polasek O, Porteous D, Raitakari OT, Renström F, Rice TK, Ridker PM, Robino A, Robinson JG, Rose LM, Rudan I, Sabanayagam C, Salako BL, Sandow K, Schmidt CO, Schreiner PJ, Scott WR, Sever P, Sims M, Sitlani CM, Smith BH, Smith JA, Snieder H, Starr JM, Strauch K, Tang H, Taylor KD, Teo YY, Tham YC, Uitterlinden AG, Waldenberger M, Wang L, Wang YX, Wei WB, Wilson G, Wojczynski MK, Xiang YB, Yao J, Yuan JM, Zonderman AB, Becker DM, Boehnke M, Bowden DW, Chambers JC, Chen YDI, Weir DR, de Faire U, Deary IJ, Esko T, Farrall M, Forrester T, Freedman BI, Froguel P, Gasparini P, Gieger C, Horta BL, Hung YJ, Jonas JB, Kato N, Kooner JS, Laakso M, Lehtimäki T, Liang KW, Magnusson PKE, Oldehinkel AJ, Pereira AC, Perls T, Rauramaa R, Redline S, Rettig R, Samani NJ, Scott J, Shu XO, van der Harst P, Wagenknecht LE, Wareham NJ, Watkins H, Wickremasinghe AR, Wu T, Kamatani Y, Laurie CC, Bouchard C, Cooper RS, Evans MK, Gudnason V, Hixson J, Kardia SLR, Kritchevsky SB, Psaty BM, van Dam RM, Arnett DK, Mook-Kanamori DO, Fornage M, Fox ER, Hayward C, van Duijn CM, Tai ES, Wong TY, Loos RJF, Reiner AP, Rotimi CN, Bierut LJ, Zhu X, Cupples LA, Province MA, Rotter JI, Franks PW, Rice K, Elliott P, Caulfield MJ, Gauderman WJ, Munroe PB, Rao DC, Morrison AC. A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure. Hum Mol Genet 2019; 28:2615-2633. [PMID: 31127295 PMCID: PMC6644157 DOI: 10.1093/hmg/ddz070] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 03/25/2019] [Accepted: 03/26/2019] [Indexed: 12/24/2022] Open
Abstract
Elevated blood pressure (BP), a leading cause of global morbidity and mortality, is influenced by both genetic and lifestyle factors. Cigarette smoking is one such lifestyle factor. Across five ancestries, we performed a genome-wide gene-smoking interaction study of mean arterial pressure (MAP) and pulse pressure (PP) in 129 913 individuals in stage 1 and follow-up analysis in 480 178 additional individuals in stage 2. We report here 136 loci significantly associated with MAP and/or PP. Of these, 61 were previously published through main-effect analysis of BP traits, 37 were recently reported by us for systolic BP and/or diastolic BP through gene-smoking interaction analysis and 38 were newly identified (P < 5 × 10-8, false discovery rate < 0.05). We also identified nine new signals near known loci. Of the 136 loci, 8 showed significant interaction with smoking status. They include CSMD1 previously reported for insulin resistance and BP in the spontaneously hypertensive rats. Many of the 38 new loci show biologic plausibility for a role in BP regulation. SLC26A7 encodes a chloride/bicarbonate exchanger expressed in the renal outer medullary collecting duct. AVPR1A is widely expressed, including in vascular smooth muscle cells, kidney, myocardium and brain. FHAD1 is a long non-coding RNA overexpressed in heart failure. TMEM51 was associated with contractile function in cardiomyocytes. CASP9 plays a central role in cardiomyocyte apoptosis. Identified only in African ancestry were 30 novel loci. Our findings highlight the value of multi-ancestry investigations, particularly in studies of interaction with lifestyle factors, where genomic and lifestyle differences may contribute to novel findings.
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Affiliation(s)
- Yun Ju Sung
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Lisa de las Fuentes
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- Cardiovascular Division, Department of Medicine, Washington University, St. Louis, MO, USA
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Daniel I Chasman
- Preventive Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Aldi T Kraja
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Ioanna Ntalla
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Helen R Warren
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- NIHR Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, London, UK
| | - Xiuqing Guo
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Karen Schwander
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Alisa K Manning
- Center for Human Genetics Research, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hugues Aschard
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur, Paris, France
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Nora Franceschini
- Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Yingchang Lu
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, USA
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology & 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
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore
| | - Dina Vojinovic
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jonathan Marten
- Medical Research Council Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Solomon K Musani
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Melissa A Richard
- Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Biostatistics and Medicine, University of Washington, Seattle, WA, USA
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Changwei Li
- Epidemiology and Biostatistics, University of Georgia at Athens College of Public Health, Athens, GA, USA
| | - Yongmei Liu
- Public Health Sciences, Epidemiology and Prevention, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Albert Vernon Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Salman M Tajuddin
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Bamidele O Tayo
- Department of Public Health Sciences, Loyola University Chicago, Maywood, IL, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Yanhua Zhou
- Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Nana Matoba
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Tamar Sofer
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
| | - Maris Alver
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Marzyeh Amini
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen RB, The Netherlands
| | - Mathilde Boissel
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille, France
| | - Jin Fang Chai
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore
| | - Xu Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm, Sweden
| | - Jasmin Divers
- Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ilaria Gandin
- Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Chuan Gao
- Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - Anuj Goel
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, Oxfordshire, UK
| | - Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, UK
| | - Fernando P Hartwig
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Meian He
- Lab Genetics and Molecular Cardiology, Cardiology, Heart Institute, University of Sao Paulo, Sao Paulo, CA, USA
| | - Andrea R V R Horimoto
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Fang-Chi Hsu
- Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Anne U Jackson
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Candace M Kammerer
- Department of Public Health, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | - Anuradhani Kasturiratne
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Pirjo Komulainen
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Brigitte Kühnel
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Medical Research, Taichung Veterans General Hospital, Department of Social Work, Tunghai University, Taichung, Taiwan
| | - Wen-Jane Lee
- Ophthalmology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Keng-Hung Lin
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Jian’an Luan
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center—Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
- Tropical Metabolism Research Unit, Tropical Medicine Research Institute, University of the West Indies, Mona, Jamaica
| | - Colin A McKenzie
- School of Public Health, Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongi Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Raymond Noordam
- Internal Medicine, Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Robert A Scott
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Wayne H H Sheu
- Endocrinology and Metabolism, 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
- Institute of Medical Technology, National Chung-Hsing University, Taichung, Taiwan
| | - Alena Stančáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen RB, The Netherlands
| | - Tibor V Varga
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Skåne University Hospital, Malmö, Sweden
| | - Robert J Waken
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Heming Wang
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
| | - Yajuan Wang
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - Erin B Ware
- 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
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Ernst Moritz Arndt University Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, Greifswald, Germany
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Lisa R Yanek
- General Internal Medicine, GeneSTAR Research Program, Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Weihua Zhang
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, Middlesex, UK
| | - Jing Hua Zhao
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Saima Afaq
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Tamuno Alfred
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, USA
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tin Aung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology & 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
| | - R Graham Barr
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Erwin P Bottinger
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, USA
| | - Peter S Braund
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Medicine, University of Washington, Seattle, WA, USA
| | - Ulrich Broeckel
- Section of Genomic Pediatrics, Department of Pediatrics, Medicine and Physiology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Brian Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
| | - Archie Campbell
- Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Mickaël Canouil
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille, France
| | - Aravinda Chakravarti
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Francis S Collins
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - John M Connell
- Ninewells Hospital & Medical School, University of Dundee, Dundee, Scotland, UK
| | - Renée de Mutsert
- Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - H Janaka de Silva
- Department of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | - Marcus Dörr
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Qing Duan
- Department of Genetics, University of North Carolina, Chapel Hill, USA
| | - Charles B Eaton
- Department of Family Medicine and Epidemiology, Alpert Medical School of Brown University, Providence, RI, USA
| | - Georg Ehret
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Cardiology, Department of Specialties of Medicine, Geneva University Hospital, Geneva, Switzerland
| | - Evangelos Evangelou
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Nita G Forouhi
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Yechiel Friedlander
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - He Gao
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Bruna Gigante
- Medical Research, Taichung Veterans General Hospital, Department of Social Work, Tunghai University, Taichung, Taiwan
| | - C Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Preeti Gupta
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Saskia P Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
- Psychology, The University of Edinburgh, Edinburgh, UK
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Jiang He
- Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Medicine, Tulane University School of Medicine, New Orleans, LA, USA
| | - Sami Heikkinen
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Finland
| | - 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
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Barbara V Howard
- MedStar Health Research Institute, Hyattsville, MD, USA
- Center for Clinical and Translational Sciences and Department of Medicine, Georgetown–Howard Universities, Washington, DC, USA
| | - Steven C Hunt
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Genetic Medicine, Weill Cornell Medicine, Doha, Qatar
| | - Marguerite R Irvin
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Yucheng Jia
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - 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
| | - Joel Kaufman
- Epidemiology, Occupational and Environmental Medicine Program, University of Washington, Seattle, WA, USA
| | - Nicola D Kerrison
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
- Department of Biochemistry, National University of Singapore, Singapore, Singapore
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore
- Health Services and Systems Research, Duke–NUS Medical School, Singapore, Singapore
| | - Heikki A Koistinen
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
- Department of Medicine and Abdominal Center: Endocrinology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Biomedicum 2U, Helsinki Finland
| | - Charles B Kooperberg
- Fred Hutchinson Cancer Research Center, University of Washington School of Public Health, Seattle, WA, USA
| | - Jose E Krieger
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Zoltan Kutalik
- Institute of Social Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Timo A Lakka
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Carl D Langefeld
- Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Joseph H Lee
- Sergievsky Center, College of Physicians and Surgeons, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Benjamin Lehne
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Daniel Levy
- NHLBI Framingham Heart Study, Framingham, MA, USA
- The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Cora E Lewis
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Yize Li
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Sing Hui Lim
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Ching-Ti Liu
- Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jianjun Liu
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Jingmin Liu
- WHI CCC, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yeheng Liu
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Marie Loh
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Translational Laboratory in Genetic Medicine, Agency for Science, Technology and Research, Singapore
| | - Kurt K Lohman
- Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Tin Louie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Koichi Matsuda
- Laboratory for Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Minato-ku, Japan
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Lili Milani
- Cardiovascular Division, Department of Medicine, Washington University, St. Louis, MO, USA
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | | | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Ubaydah Nasri
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jeff R O'Connell
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | | | | | - James S Pankow
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Neuherberg, Germany
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Ozren Polasek
- Department of Public Health, Department of Medicine, University of Split, Split, Croatia
- Psychiatric Hospital ‘Sveti Ivan’, Zagreb, Croatia
- Gen-info Ltd, Zagreb, Croatia
| | - David Porteous
- Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Frida Renström
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Skåne University Hospital, Malmö, Sweden
- Department of Biobank Research, Umeå University, Umeå, Västerbotten, Sweden
| | - Treva K Rice
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Paul M Ridker
- Preventive Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Antonietta Robino
- Institute for Maternal and Child Health—IRCCS ‘Burlo Garofolo’, Trieste, Italy
| | - Jennifer G Robinson
- Department of Epidemiology and Medicine, University of Iowa, Iowa City, IA, USA
| | - Lynda M Rose
- Preventive Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | | | - Kevin Sandow
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Carsten O Schmidt
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - William R Scott
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Peter Sever
- International Centre for Circulatory Health, Imperial College London, London, UK
| | - Mario Sims
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Medicine, University of Washington, Seattle, WA, USA
| | - Blair H Smith
- Division of Population Health Sciences, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - 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
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen RB, The Netherlands
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, Edinburgh, UK
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Genetic Epidemiology, IBE, Faculty of Medicine, LMU, Munich, Germany
| | - Hua Tang
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Kent D Taylor
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yik Ying Teo
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
| | - Yih Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Lihua Wang
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Ya Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wen Bin Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Gregory Wilson
- Jackson Heart Study, School of Public Health, Jackson State University, Jackson, MS, USA
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China
| | - Jie Yao
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jian-Min Yuan
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alan B Zonderman
- Behavioral Epidemiology Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Diane M Becker
- General Internal Medicine, GeneSTAR Research Program, Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Donald W Bowden
- Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - John C Chambers
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, Middlesex, UK
| | - Yii-Der Ida Chen
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Ulf de Faire
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
- Psychology, The University of Edinburgh, Edinburgh, UK
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Boston, MA, USA
| | - Martin Farrall
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, Oxfordshire, UK
| | - Terrence Forrester
- Tropical Metabolism Research Unit, Tropical Medicine Research Institute, University of the West Indies, Mona, Jamaica
| | - Barry I Freedman
- Nephrology, Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Philippe Froguel
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille, France
- Department of Genomics of Common Disease, Imperial College London, London, UK
| | - Paolo Gasparini
- Department of Medical Sciences, University of Trieste, Trieste, Italy
- Department of Genetic Medicine, Weill Cornell Medicine, Doha, Qatar
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Bernardo Lessa Horta
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Yi-Jen Hung
- Endocrinology and Metabolism, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taipei, Taiwan
| | - Jost Bruno Jonas
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Department of Ophthalmology, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, Middlesex, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center—Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | - Kae-Woei Liang
- School of Medicine, National Yang-ming University, Taipei, Taiwan
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Medicine, China Medical University, Taichung, Taiwan
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm, Sweden
| | - Albertine J Oldehinkel
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen RB, The Netherlands
| | - Alexandre C Pereira
- Lab Genetics and Molecular Cardiology, Cardiology, Heart Institute, University of Sao Paulo, Sao Paulo, CA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Thomas Perls
- Geriatrics Section, Boston University Medical Center, Boston, MA, USA
| | - Rainer Rauramaa
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
| | - Rainer Rettig
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, Greifswald, Germany
- Institute of Physiology, University of Medicine Greifswald, Greifswald, Germany
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - James Scott
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen RB, The Netherlands
| | - Lynne E Wagenknecht
- Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - Hugh Watkins
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, Oxfordshire, UK
| | | | - Tangchun Wu
- School of Public Health, Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongi Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Richard S Cooper
- Department of Public Health Sciences, Loyola University Chicago, Maywood, IL, USA
| | - Michele K Evans
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - James Hixson
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Stephen B Kritchevsky
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Epidemiology, Medicine and Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Donna K Arnett
- Dean’s Office, University of Kentucky College of Public Health, Lexington, KY, USA
| | - Dennis O Mook-Kanamori
- Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ervin R Fox
- Cardiology, Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore
- Health Services and Systems Research, Duke–NUS Medical School, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology & 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
| | - Ruth J F Loos
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, USA
- Icahn School of Medicine at Mount Sinai, The Mindich Child Health and Development Institute, New York, NY, USA
| | - Alex P Reiner
- Fred Hutchinson Cancer Research Center, University of Washington School of Public Health, Seattle, WA, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - L Adrienne Cupples
- Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Jerome I Rotter
- Division of Genomic Outcomes, Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Paul W Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Skåne University Hospital, Malmö, Sweden
- Harvard T. H. Chan School of Public Health, Department of Nutrition, Harvard University, Boston, MA, USA
- Department of Public Health & Clinical Medicine, Umeå University, Umeå, Västerbotten, Sweden
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Paul Elliott
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Mark J Caulfield
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- NIHR Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, London, UK
| | - W James Gauderman
- Biostatistics, Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Patricia B Munroe
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- NIHR Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, London, UK
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
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Sombié HK, Kologo JK, Tchelougou D, Ouédraogo SY, Ouattara AK, Compaoré TR, Nagalo BM, Sorgho AP, Nagabila I, Soubeïga ST, Djigma FW, Yonli AT, Zabsonré P, Millogo H, Simporé J. Positive association between ATP2B1 rs17249754 and essential hypertension: a case-control study in Burkina Faso, West Africa. BMC Cardiovasc Disord 2019; 19:155. [PMID: 31242870 PMCID: PMC6595568 DOI: 10.1186/s12872-019-1136-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 06/12/2019] [Indexed: 01/06/2023] Open
Abstract
Background Genetic and environment play a significant role in the etiology of essential hypertension (EH). Recently STK39 rs3754777, ATP2B1 rs2681472 and rs17249754 have been associated with BP variation and hypertension. In this study we aimed to determine firstly whether index variants were associated with the risk of developing EH in Burkina Faso and secondly to characterize cardiovascular risk markers. Methods We conducted a case-control study with 380 participants including 180 case subjects with EH and 200 control subjects with normal BP. We used TaqMan genotyping assays with probes from Applied Biosystems to genotype polymorphisms using the 7500 Real-Time PCR System. Biochemical parameters were measured using chemistry analyzer COBAS C311. Results T-test showed that cardiovascular risk markers such as body mass index, waist circumference, blood sugar, total cholesterol and triglycerides were significantly higher in hypertensive compared to normotensive (all p < 0.05). Binary logistic regression analysis revealed in decreasing order that overweight, family history of hypertension, central obesity and alcohol intake increased the risk of developing EH (all OR > 3.8; all p < 0.001). In genetic level we observed that individuals carrying the AA+AG genotype of ATP2B1 rs17249754 had a low risk of developing EH than those carrying the GG genotype (OR = 0.48 [95% CI: 0.31–0.75] p = 0.001) and the A allele frequency in the cases was significantly lower than that of the controls (OR = 0.56 [95% CI: 0.38–0.82] p = 0.003). We also observed that ATP2B1 rs17249754 was significantly associated with higher SBP and DPB in case and control groups (GG versus AG + AA; p < 0.05), ATP2B1 rs2681472 was significantly associated with higher SBP only in case and control group (AA versus AG + GG; p < 0.05), STK39 rs3754777 was not significantly associated with any of the BP traits (CC versus CT + TT; p > 0.05). Conclusion Our results confirmed the significant association of ATP2B1 rs17249754 with the risk of developing EH in Burkinabe and showed an increase of cardiovascular risk markers levels in subjects with EH. Electronic supplementary material The online version of this article (10.1186/s12872-019-1136-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Herman Karim Sombié
- Department of Microbiology and Biochemistry, Laboratory of Molecular Biology and Genetics (LABIOGENE), University Ouaga I Prof. Joseph Ki-Zerbo, P.O. Box 7021, Ouagadougou 03, Burkina Faso
| | - Jonas Koudougou Kologo
- Saint Camille hospital in Ouagadougou (HOSCO), Burkina Faso, P.O. Box 444, Ouagadougou 01, Burkina Faso
| | - Daméhan Tchelougou
- Department of Microbiology and Biochemistry, Laboratory of Molecular Biology and Genetics (LABIOGENE), University Ouaga I Prof. Joseph Ki-Zerbo, P.O. Box 7021, Ouagadougou 03, Burkina Faso
| | - Serge Yannick Ouédraogo
- Department of Microbiology and Biochemistry, Laboratory of Molecular Biology and Genetics (LABIOGENE), University Ouaga I Prof. Joseph Ki-Zerbo, P.O. Box 7021, Ouagadougou 03, Burkina Faso
| | - Abdoul Karim Ouattara
- Department of Microbiology and Biochemistry, Laboratory of Molecular Biology and Genetics (LABIOGENE), University Ouaga I Prof. Joseph Ki-Zerbo, P.O. Box 7021, Ouagadougou 03, Burkina Faso.,Pietro Annigoni Biomolecular Research Center (CERBA), P.O. Box 364, Ouagadougou 01, Burkina Faso
| | - Tegwindé Rebecca Compaoré
- Department of Microbiology and Biochemistry, Laboratory of Molecular Biology and Genetics (LABIOGENE), University Ouaga I Prof. Joseph Ki-Zerbo, P.O. Box 7021, Ouagadougou 03, Burkina Faso
| | - Bolni Marius Nagalo
- Department of Microbiology and Biochemistry, Laboratory of Molecular Biology and Genetics (LABIOGENE), University Ouaga I Prof. Joseph Ki-Zerbo, P.O. Box 7021, Ouagadougou 03, Burkina Faso
| | - Abel Pegdwendé Sorgho
- Department of Microbiology and Biochemistry, Laboratory of Molecular Biology and Genetics (LABIOGENE), University Ouaga I Prof. Joseph Ki-Zerbo, P.O. Box 7021, Ouagadougou 03, Burkina Faso
| | - Issoufou Nagabila
- Saint Camille hospital in Ouagadougou (HOSCO), Burkina Faso, P.O. Box 444, Ouagadougou 01, Burkina Faso
| | - Serge Théophile Soubeïga
- Department of Microbiology and Biochemistry, Laboratory of Molecular Biology and Genetics (LABIOGENE), University Ouaga I Prof. Joseph Ki-Zerbo, P.O. Box 7021, Ouagadougou 03, Burkina Faso.,Pietro Annigoni Biomolecular Research Center (CERBA), P.O. Box 364, Ouagadougou 01, Burkina Faso
| | - Florencia Wendkuuni Djigma
- Department of Microbiology and Biochemistry, Laboratory of Molecular Biology and Genetics (LABIOGENE), University Ouaga I Prof. Joseph Ki-Zerbo, P.O. Box 7021, Ouagadougou 03, Burkina Faso. .,Pietro Annigoni Biomolecular Research Center (CERBA), P.O. Box 364, Ouagadougou 01, Burkina Faso.
| | - Albert Théophane Yonli
- Department of Microbiology and Biochemistry, Laboratory of Molecular Biology and Genetics (LABIOGENE), University Ouaga I Prof. Joseph Ki-Zerbo, P.O. Box 7021, Ouagadougou 03, Burkina Faso.,Pietro Annigoni Biomolecular Research Center (CERBA), P.O. Box 364, Ouagadougou 01, Burkina Faso
| | - Patrice Zabsonré
- University Hospital Center-Yalgado Ouedraogo (CHUYO), Ouagadougou, Burkina Faso
| | - Hassanata Millogo
- Pietro Annigoni Biomolecular Research Center (CERBA), P.O. Box 364, Ouagadougou 01, Burkina Faso
| | - Jacques Simporé
- Department of Microbiology and Biochemistry, Laboratory of Molecular Biology and Genetics (LABIOGENE), University Ouaga I Prof. Joseph Ki-Zerbo, P.O. Box 7021, Ouagadougou 03, Burkina Faso.,Saint Camille hospital in Ouagadougou (HOSCO), Burkina Faso, P.O. Box 444, Ouagadougou 01, Burkina Faso.,Pietro Annigoni Biomolecular Research Center (CERBA), P.O. Box 364, Ouagadougou 01, Burkina Faso.,Faculty of Medicine, University Saint Thomas d'Aquin, P.O. Box 10212, Ouagadougou, Burkina Faso
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Rodriguez-Iturbe B, Johnson RJ. Genetic Polymorphisms in Hypertension: Are We Missing the Immune Connection? Am J Hypertens 2019; 32:113-122. [PMID: 30418477 DOI: 10.1093/ajh/hpy168] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 11/06/2018] [Indexed: 01/11/2023] Open
Affiliation(s)
- Bernardo Rodriguez-Iturbe
- Renal Hospital Universitario, Universidad del Zulia, Maracaibo, Zulia, Venezuela
- Instituto Venezolano de Investigaciones Científicas (IVIC)-Zulia, Maracaibo, Zulia, Venezuela
| | - Richard J Johnson
- Division of Renal Diseases and Hypertension, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
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C-src tyrosine kinase gene rs1378942 polymorphism and hypertension in Asians: Review and meta-analysis. Clin Chim Acta 2018; 487:202-209. [DOI: 10.1016/j.cca.2018.10.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 09/25/2018] [Accepted: 10/01/2018] [Indexed: 12/18/2022]
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Abstract
Chronic kidney disease mineral and bone disorder (MBD) encompasses changes in mineral ion and vitamin D metabolism that are widespread in the setting of chronic kidney disease and end-stage renal disease. MBD components associate with cardiovascular disease in many epidemiologic studies. Through impacts on hypertension, activation of the renin-angiotensin-aldosterone system, vascular calcification, endothelial function, and cardiac remodeling and conduction, MBD may be a direct and targetable cause of cardiovascular disease. However, assessment and treatment of MBD is rife with challenges owing to biological tensions between its many components, such as calcium and phosphorus with their regulatory hormones fibroblast growth factor 23 and parathyroid hormone; fibroblast growth factor 23 with its co-receptor klotho; and vitamin D with control of calcium and phosphorus. These complex interactions between MBD components hinder the simple translation to clinical trials, which ultimately are needed to prove the benefits of treating MBD. Deeper investigation using precision medicine tools and principles, including genomics and individualized risk assessment and therapy, may help move the field closer toward clinical applications. This review provides a high-level overview of conventional and precision epidemiology in MBD, potential mechanisms of cardiovascular disease pathogenesis, and guiding therapeutic principles for established and emerging treatments.
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Affiliation(s)
- Joseph Lunyera
- Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Julia J Scialla
- Department of Medicine, Duke University School of Medicine, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC; Department of Medicine, Durham Veterans Affairs Medical Center, Durham, NC.
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Simonyte S, Kuciene R, Dulskiene V, Lesauskaite V. Association between ATP2B1 and CACNB2 polymorphisms and high blood pressure in a population of Lithuanian children and adolescents: a cross-sectional study. BMJ Open 2018; 8:e019902. [PMID: 29982197 PMCID: PMC6042568 DOI: 10.1136/bmjopen-2017-019902] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVES Recently, genome-wide associated studies have identified several genetic loci that are associated with elevated blood pressure and could play a critical role in intracellular calcium homeostasis. The aim of this study was to assess the associations of ATP2B1 rs2681472 and CACNB2 rs12258967 gene polymorphisms with high blood pressure (HBP) among Lithuanian children and adolescents aged 12-15 years. STUDY DESIGN AND PARTICIPANTS This was a cross-sectional study of a randomly selected sample of 646 12-15-year-old adolescents who participated in the survey 'The Prevalence and Risk Factors of HBP in 12-15 Year-Old Lithuanian Children and Adolescents (from November 2010 to April 2012)'. Anthropometric parameters and BP were measured. The participants with HBP were screened on two separate occasions. Subjects were genotyped ATP2B1 rs2681472 and CACNB2 rs12258967 gene polymorphisms using real-time PCR method. RESULTS The prevalence of HBP was 36.7%, significantly higher for boys than for girls. In the multivariate analysis, after adjustment for body mass index and waist circumference, boys with CACNB2 CG genotype, CACNB2 GG genotype and CACNB2 CG +GG genotype had higher odds of having HBP in codominant (adjusted OR (aOR)=1.92; 95% CI 1.16 to 3.18, p=0.011; and aOR=2.64; 95% CI 1.19 to 5.90, p=0.018) and in dominant (aOR=2.05; 95% CI 1.27 to 3.30, p=0.003) inheritance models. Girls carrying CACNB2 CG genotype and CACNB2 CG +GG genotype had increased odds of HBP in codominant (aOR=1.82; 95% CI 1.02 to 3.24, p=0.044) and in dominant (aOR=1.89; 95% CI 1.09 to 3.28, p=0.023) inheritance models. Furthermore, significant associations were found in additive models separately for boys (aOR=1.72; 95% CI 1.20 to 2.46, p=0.003) and girls (aOR=1.52; 95% CI 1.05 to 2.20, p=0.027). No significant association was found between ATP2B1 gene polymorphism and the odds of HBP. CONCLUSIONS Our results indicate that CACNB2 gene polymorphism was significantly associated with higher odds of HBP in Lithuanian adolescents aged 12-15 years.
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Affiliation(s)
- Sandrita Simonyte
- Institute of Cardiology of the Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Renata Kuciene
- Institute of Cardiology of the Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Virginija Dulskiene
- Institute of Cardiology of the Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Vaiva Lesauskaite
- Institute of Cardiology of the Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
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An D, Zhang J, Tang X, Gao P, Li Y, Wang Y, Zhu D. Association of ATP2B1 common variants with asymptomatic intracranial and extracranial large artery stenosis in hypertension patients. Clin Exp Hypertens 2018; 41:323-329. [PMID: 29902063 DOI: 10.1080/10641963.2018.1481421] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND AND AIMS Genetic factors play an important role in the cervico-cerebral large-artery atherosclerotic stenosis (LAS), and ATP2B1 gene has been associated with the process of atherosclerosis disorders, such as coronary artery disease and arterial stiffness. But there is little information about the relationship between ATP2B1 gene and atherosclerosis in the intracranial arteries. We hereby investigated the association of common variants in ATP2B1 gene with LAS in asymptomatic Chinese hypertension patients. METHODS The stenosis of intracranial and extracranial arteries were evaluated in 899 subjects through computerized tomography angiography from the aortic arch to the skull base. A total of 11 ATP2B1 common variants were genotyped. Multivariate logistic regression was carried out in a dominant model with confounding factors adjusted. RESULTS rs17249754-A (OR = 0.43, p = 0.0002) and rs1401982-G (OR = 0.47, p = 0.0007) were associated with decreased susceptibility of concurrent extra and intracranial stenosis even after Bonferroni correction. These two minor alleles were also significantly associated with less stenotic arteries and moderate-to-severe stenosis. CONCLUSION rs17249754 and rs1401982 were associated with asymptomatic LAS in stroke-free Chinese hypertension patients and might benefit early recognition of LAS patients in clinical practice.
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Affiliation(s)
- Dewei An
- a Research Center for Hypertension Management and Prevention in Community, Shanghai Key Laboratory of Hypertension, State Key Laboratory of Medical Genomics, Shanghai Institute of Hypertension, Ruijin Hospital , Shanghai Jiao Tong University School of Medicine , Shanghai , China
| | - Jin Zhang
- a Research Center for Hypertension Management and Prevention in Community, Shanghai Key Laboratory of Hypertension, State Key Laboratory of Medical Genomics, Shanghai Institute of Hypertension, Ruijin Hospital , Shanghai Jiao Tong University School of Medicine , Shanghai , China
| | - Xiaofeng Tang
- a Research Center for Hypertension Management and Prevention in Community, Shanghai Key Laboratory of Hypertension, State Key Laboratory of Medical Genomics, Shanghai Institute of Hypertension, Ruijin Hospital , Shanghai Jiao Tong University School of Medicine , Shanghai , China
| | - Pingjin Gao
- a Research Center for Hypertension Management and Prevention in Community, Shanghai Key Laboratory of Hypertension, State Key Laboratory of Medical Genomics, Shanghai Institute of Hypertension, Ruijin Hospital , Shanghai Jiao Tong University School of Medicine , Shanghai , China
| | - Yan Li
- a Research Center for Hypertension Management and Prevention in Community, Shanghai Key Laboratory of Hypertension, State Key Laboratory of Medical Genomics, Shanghai Institute of Hypertension, Ruijin Hospital , Shanghai Jiao Tong University School of Medicine , Shanghai , China
| | - Yan Wang
- a Research Center for Hypertension Management and Prevention in Community, Shanghai Key Laboratory of Hypertension, State Key Laboratory of Medical Genomics, Shanghai Institute of Hypertension, Ruijin Hospital , Shanghai Jiao Tong University School of Medicine , Shanghai , China
| | - Dingliang Zhu
- a Research Center for Hypertension Management and Prevention in Community, Shanghai Key Laboratory of Hypertension, State Key Laboratory of Medical Genomics, Shanghai Institute of Hypertension, Ruijin Hospital , Shanghai Jiao Tong University School of Medicine , Shanghai , China
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Ren Y, Jiao X, Zhang L. Expression level of fibroblast growth factor 5 (FGF5) in the peripheral blood of primary hypertension and its clinical significance. Saudi J Biol Sci 2018; 25:469-473. [PMID: 29692649 PMCID: PMC5911643 DOI: 10.1016/j.sjbs.2017.11.043] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Revised: 11/08/2017] [Accepted: 11/15/2017] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE To explore the expression level of FGF5 in the peripheral blood of primary hypertension patients and its clinical significance. METHODS The 34 patients with primary hypertension treated in this hospital from June 2012 to June 2014 were selected as the observation group, while the 25 patients at this hospital who had physical exam with heathy results were selected as control group. Venous blood was drawn early in the morning after an overnight fast. FGF5, mRNA and protein level changes in the peripheral blood cells and peripheral blood serum were analyzed by real-time fluorescence based quantitative PCR (RT-PCR) and enzyme-linked immunosorbent assay (ELISA). FGF5 gene SNP (rs16998073) were amplified by PCR and inserted into T vector, and its genetic variation were analyzed by sequencing. The relationship of FGF5 protein levels and genetic variation with diastolic/systolic blood pressure was also analyzed. RESULTS Comparing with the control group, the observation group's FGF5 mRNA and protein levels significantly increased in the peripheral blood cells and peripheral blood. The difference was statistically significant (P < .05). Correlation analysis showed that FGF5 protein level and systolic/diastolic blood pressure were positively correlated (P < .05). T/A genetic variation of FGF5 gene SNP (rs16998073) and diastolic/systolic blood pressure were positively correlated (P < .05). CONCLUSION The FGF5 mRNA and protein expression levels of the patients with primary hypertension were abnormal and had genetic variation, which were associated with blood pressure of the patients with primary hypertension.
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Affiliation(s)
- Yuchao Ren
- Cardiovascular Medicine Ward 3, Zhengzhou Central Hospital, Zhengzhou 450007, China
| | - Xiaoqi Jiao
- Cardiovascular Medicine Ward 3, Zhengzhou Central Hospital, Zhengzhou 450007, China
- Cardiovascular Medicine Ward 5, Zhengzhou Central Hospital, Zhengzhou 450007, China
| | - Lin Zhang
- Cardiovascular Medicine Ward 3, Zhengzhou Central Hospital, Zhengzhou 450007, China
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Priyadharsini Jayaseelan V, Muthusamy K, Venkatramani S, Arumugam P, Gopalswamy J, Thiagarajan SS. Gender-specific Association of ATP2B1 (rs2681472) Gene Polymorphism with Essential Hypertension in South Indian Population. INT J HUM GENET 2018. [DOI: 10.1080/09723757.2017.1421431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
| | - Karthikeyan Muthusamy
- Department of Bioinformatics, Alagappa University, Karaikudi 630 004, Tamil Nadu, India
| | | | | | - Jayaraman Gopalswamy
- Department of Genetics, Dr. ALM PGIBMS, University of Madras, Taramani, Chennai, Tamil Nadu, India
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People with the major alleles of ATP2B1 rs17249754 increases the risk of hypertension in high ratio of sodium and potassium, and low calcium intakes. J Hum Hypertens 2017; 31:787-794. [DOI: 10.1038/jhh.2017.72] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 08/05/2017] [Accepted: 08/14/2017] [Indexed: 12/29/2022]
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Stafford N, Wilson C, Oceandy D, Neyses L, Cartwright EJ. The Plasma Membrane Calcium ATPases and Their Role as Major New Players in Human Disease. Physiol Rev 2017; 97:1089-1125. [PMID: 28566538 DOI: 10.1152/physrev.00028.2016] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 01/20/2017] [Accepted: 01/23/2017] [Indexed: 02/07/2023] Open
Abstract
The Ca2+ extrusion function of the four mammalian isoforms of the plasma membrane calcium ATPases (PMCAs) is well established. There is also ever-increasing detail known of their roles in global and local Ca2+ homeostasis and intracellular Ca2+ signaling in a wide variety of cell types and tissues. It is becoming clear that the spatiotemporal patterns of expression of the PMCAs and the fact that their abundances and relative expression levels vary from cell type to cell type both reflect and impact on their specific functions in these cells. Over recent years it has become increasingly apparent that these genes have potentially significant roles in human health and disease, with PMCAs1-4 being associated with cardiovascular diseases, deafness, autism, ataxia, adenoma, and malarial resistance. This review will bring together evidence of the variety of tissue-specific functions of PMCAs and will highlight the roles these genes play in regulating normal physiological functions and the considerable impact the genes have on human disease.
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Affiliation(s)
- Nicholas Stafford
- Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom
| | - Claire Wilson
- Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom
| | - Delvac Oceandy
- Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom
| | - Ludwig Neyses
- Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom
| | - Elizabeth J Cartwright
- Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom
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Abstract
Genomic insights and analyses of Mendelian hypertension (HTN) syndromes and Genome-Wide Association study (GWAS) on essential hypertension have contributed to the depth of understanding of the genetics origins of hypertension. Mendelian syndromes are important for the field, since such knowledge leads to specific insights about disease pathogenesis and the potential for precision medicine. The clinical impact of findings of on essential hypertension is continuously evolving, and the insights accrued will refine efforts to combat the societal impact of hypertension. Comprehensive identification of all genomic variants of hypertension, along with their individual associated mechanisms, is paving the way forward in the era of personalized medicine. The overriding challenge for care providers is to reduce health inequities through improved compliance and, perhaps, new paradigms for implementation science that incorporate genomic medicine.
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Affiliation(s)
- Sheriff N Dodoo
- Department of Internal Medicine, Meharry Medical College, 1005 Dr DB Todd Jr Boulevard, Nashville, TN 37208, USA
| | - Ivor J Benjamin
- Cardiovascular Center, Department of Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA; Division of Cardiology, Department of Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA.
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Nagy R, Boutin TS, Marten J, Huffman JE, Kerr SM, Campbell A, Evenden L, Gibson J, Amador C, Howard DM, Navarro P, Morris A, Deary IJ, Hocking LJ, Padmanabhan S, Smith BH, Joshi P, Wilson JF, Hastie ND, Wright AF, McIntosh AM, Porteous DJ, Haley CS, Vitart V, Hayward C. Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants. Genome Med 2017; 9:23. [PMID: 28270201 PMCID: PMC5339960 DOI: 10.1186/s13073-017-0414-4] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Accepted: 02/09/2017] [Indexed: 01/31/2023] Open
Abstract
Background The Generation Scotland: Scottish Family Health Study (GS:SFHS) is a family-based population cohort with DNA, biological samples, socio-demographic, psychological and clinical data from approximately 24,000 adult volunteers across Scotland. Although data collection was cross-sectional, GS:SFHS became a prospective cohort due to of the ability to link to routine Electronic Health Record (EHR) data. Over 20,000 participants were selected for genotyping using a large genome-wide array. Methods GS:SFHS was analysed using genome-wide association studies (GWAS) to test the effects of a large spectrum of variants, imputed using the Haplotype Research Consortium (HRC) dataset, on medically relevant traits measured directly or obtained from EHRs. The HRC dataset is the largest available haplotype reference panel for imputation of variants in populations of European ancestry and allows investigation of variants with low minor allele frequencies within the entire GS:SFHS genotyped cohort. Results Genome-wide associations were run on 20,032 individuals using both genotyped and HRC imputed data. We present results for a range of well-studied quantitative traits obtained from clinic visits and for serum urate measures obtained from data linkage to EHRs collected by the Scottish National Health Service. Results replicated known associations and additionally reveal novel findings, mainly with rare variants, validating the use of the HRC imputation panel. For example, we identified two new associations with fasting glucose at variants near to Y_RNA and WDR4 and four new associations with heart rate at SNPs within CSMD1 and ASPH, upstream of HTR1F and between PROKR2 and GPCPD1. All were driven by rare variants (minor allele frequencies in the range of 0.08–1%). Proof of principle for use of EHRs was verification of the highly significant association of urate levels with the well-established urate transporter SLC2A9. Conclusions GS:SFHS provides genetic data on over 20,000 participants alongside a range of phenotypes as well as linkage to National Health Service laboratory and clinical records. We have shown that the combination of deeper genotype imputation and extended phenotype availability make GS:SFHS an attractive resource to carry out association studies to gain insight into the genetic architecture of complex traits. Electronic supplementary material The online version of this article (doi:10.1186/s13073-017-0414-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Reka Nagy
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Thibaud S Boutin
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Jonathan Marten
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Jennifer E Huffman
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Shona M Kerr
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - Louise Evenden
- Edinburgh Clinical Research Facility, University of Edinburgh, Edinburgh, UK
| | - Jude Gibson
- Edinburgh Clinical Research Facility, University of Edinburgh, Edinburgh, UK
| | - Carmen Amador
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - David M Howard
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Pau Navarro
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Andrew Morris
- Farr Institute of Health Informatics Research, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Lynne J Hocking
- Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - Sandosh Padmanabhan
- Division of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Blair H Smith
- Medical Research Institute, University of Dundee, Dundee, UK
| | - Peter Joshi
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK
| | - James F Wilson
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK
| | - Nicholas D Hastie
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Alan F Wright
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Chris S Haley
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Veronique Vitart
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Caroline Hayward
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK.
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Interaction between Single Nucleotide Polymorphism and Urinary Sodium, Potassium, and Sodium-Potassium Ratio on the Risk of Hypertension in Korean Adults. Nutrients 2017; 9:nu9030235. [PMID: 28273873 PMCID: PMC5372898 DOI: 10.3390/nu9030235] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2016] [Revised: 01/23/2017] [Accepted: 02/27/2017] [Indexed: 12/31/2022] Open
Abstract
Hypertension is a complex disease explained with diverse factors including environmental factors and genetic factors. The objectives of this study were to determine the interaction effects between gene variants and 24 h estimated urinary sodium and potassium excretion and sodium-potassium excretion ratios on the risk of hypertension. A total of 8839 participants were included in the genome-wide association study (GWAS) to find genetic factors associated with hypertension. Tanaka and Kawasaki formulas were applied to estimate 24 h urinary sodium and potassium excretion. A total of 4414 participants were included in interaction analyses to identify the interaction effects of gene variants according to 24 h estimated urinary factors on the risk of hypertension. CSK rs1378942 and CSK-MIR4513 rs3784789 were significantly modified by urinary sodium-potassium excretion ratio. In addition, MKLN rs1643270 with urinary potassium excretion, LOC101929750 rs7554672 with urinary sodium and potassium excretion, and TENM4 rs10466739 with urinary sodium-potassium excretion ratio showed significant interaction effects. The present study results indicated that the mutant alleles of CSK rs1378942 and CSK-MIR4513 rs3784789 had the strongest protective effects against hypertension in the middle group of 24 h estimated urinary sodium-potassium excretion ratio. Further studies are needed to replicate these analyses in other populations.
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Goswami S, Yee SW, Xu F, Sridhar SB, Mosley JD, Takahashi A, Kubo M, Maeda S, Davis RL, Roden DM, Hedderson MM, Giacomini KM, Savic RM. A Longitudinal HbA1c Model Elucidates Genes Linked to Disease Progression on Metformin. Clin Pharmacol Ther 2016; 100:537-547. [PMID: 27415606 PMCID: PMC5534241 DOI: 10.1002/cpt.428] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Revised: 06/20/2016] [Accepted: 06/22/2016] [Indexed: 12/20/2022]
Abstract
One-third of type-2 diabetic patients respond poorly to metformin. Despite extensive research, the impact of genetic and nongenetic factors on long-term outcome is unknown. In this study we combine nonlinear mixed effect modeling with computational genetic methodologies to identify predictors of long-term response. In all, 1,056 patients contributed their genetic, demographic, and long-term HbA1c data. The top nine variants (of 12,000 variants in 267 candidate genes) accounted for approximately one-third of the variability in the disease progression parameter. Average serum creatinine level, age, and weight were determinants of symptomatic response; however, explaining negligible variability. Two single nucleotide polymorphisms (SNPs) in CSMD1 gene (rs2617102, rs2954625) and one SNP in a pharmacologically relevant SLC22A2 gene (rs316009) influenced disease progression, with minor alleles leading to less and more favorable outcomes, respectively. Overall, our study highlights the influence of genetic factors on long-term HbA1c response and provides a computational model, which when validated, may be used to individualize treatment.
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Affiliation(s)
- S Goswami
- University of California, San Francisco, San Francisco, California, USA
| | - S W Yee
- University of California, San Francisco, San Francisco, California, USA
| | - F Xu
- Kaiser Permanente Northern California, Oakland, California, USA
| | - S B Sridhar
- Kaiser Permanente Northern California, Oakland, California, USA
| | - J D Mosley
- Vanderbilt University, Nashville, Tennessee, USA
| | - A Takahashi
- RIKEN Institute, Center for Genomic Medicine, Saitama, Japan
| | - M Kubo
- RIKEN Institute, Center for Genomic Medicine, Saitama, Japan
| | - S Maeda
- RIKEN Institute, Center for Genomic Medicine, Saitama, Japan
| | - R L Davis
- Kaiser Permanente Georgia, Atlanta, Georgia, USA
- Center for Biomedical Informatics, University of Tennessee Health Sciences Center, Memphis, Tennessee, USA
| | - D M Roden
- Vanderbilt University, Nashville, Tennessee, USA
| | - M M Hedderson
- Kaiser Permanente Northern California, Oakland, California, USA
| | - K M Giacomini
- University of California, San Francisco, San Francisco, California, USA.
| | - R M Savic
- University of California, San Francisco, San Francisco, California, USA.
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Lee S, Kim SH, Shin C. Interaction according to urinary sodium excretion level on the association between ATP2B1 rs17249754 and incident hypertension: the Korean genome epidemiology study. Clin Exp Hypertens 2016; 38:352-8. [DOI: 10.3109/10641963.2015.1116544] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Sunghee Lee
- Institute of Human Genomic Study, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Gyeonggi, South Korea
| | - Seong Hwan Kim
- Division of Cardiology, Korea University Ansan Hospital, Ansan, Gyeonggi, South Korea
| | - Chol Shin
- Institute of Human Genomic Study, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Gyeonggi, South Korea
- Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Gyeonggi, South Korea
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TET2 and CSMD1 genes affect SBP response to hydrochlorothiazide in never-treated essential hypertensives. J Hypertens 2016; 33:1301-9. [PMID: 25695618 DOI: 10.1097/hjh.0000000000000541] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Thiazide diuretics have been recommended as a first-line antihypertensive treatment, although the choice of 'the right drug in the individual essential hypertensive patient' remains still empirical. Essential hypertension is a complex, polygenic disease derived from the interaction of patient's genetic background with the environment. Pharmacogenomics could be a useful tool to pinpoint gene variants involved in antihypertensive drug response, thus optimizing therapeutic advantages and minimizing side effects. METHODS AND RESULTS We looked for variants associated with blood pressure response to hydrochlorothiazide over an 8-week follow-up by means of a genome-wide association analysis in two Italian cohorts of never-treated essential hypertensive patients: 343 samples from Sardinia and 142 from Milan. TET2 and CSMD1 as plausible candidate genes to affect SBP response to hydrochlorothiazide were identified. The specificity of our findings for hydrochlorothiazide was confirmed in an independent cohort of essential hypertensive patients treated with losartan. Our best findings were also tested for replication in four independent hypertensive samples of European Ancestry, such as GENetics of drug RESponsiveness in essential hypertension, Genetic Epidemiology of Responses to Antihypertensives, NORdic DILtiazem intervention, Pharmacogenomics Evaluation of Antihypertensive Responses, and Campania Salute Network-StayOnDiur. We validated a polymorphism in CSMD1 and UGGT2. CONCLUSION This exploratory study reports two plausible loci associated with SBP response to hydrochlorothiazide: TET2, an aldosterone-responsive mediator of αENaC gene transcription; and CSMD1, previously described as associated with hypertension in a case-control study.
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Little R, Cartwright EJ, Neyses L, Austin C. Plasma membrane calcium ATPases (PMCAs) as potential targets for the treatment of essential hypertension. Pharmacol Ther 2016; 159:23-34. [PMID: 26820758 DOI: 10.1016/j.pharmthera.2016.01.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
The incidence of hypertension, the major modifiable risk factor for cardiovascular disease, is increasing. Thus, there is a pressing need for the development of new and more effective strategies to prevent and treat hypertension. Development of these relies on a continued evolution of our understanding of the mechanisms which control blood pressure (BP). Resistance arteries are important in the regulation of total peripheral resistance and BP; changes in their structure and function are strongly associated with hypertension. Anti-hypertensives which both reduce BP and reverse changes in resistance arterial structure reduce cardiovascular risk more than therapies which reduce BP alone. Hence, identification of novel potential vascular targets which modify BP is important. Hypertension is a multifactorial disorder which may include a genetic component. Genome wide association studies have identified ATP2B1, encoding the calcium pump plasma membrane calcium ATPase 1 (PMCA1), as having a strong association with BP and hypertension. Knockdown or reduced PMCA1 expression in mice has confirmed a physiological role for PMCA1 in BP and resistance arterial regulation. Altered expression or inhibition of PMCA4 has also been shown to modulate these parameters. The mechanisms whereby PMCA1 and 4 can modulate vascular function remain to be fully elucidated but may involve regulation of intracellular calcium homeostasis and/or comprise a structural role. However, clear physiological links between PMCA and BP, coupled with experimental studies directly linking PMCA1 and 4 to changes in BP and arterial function, suggest that they may be important targets for the development of new pharmacological modulators of BP.
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Affiliation(s)
- Robert Little
- The Institute of Cardiovascular Sciences, The University of Manchester, UK
| | | | - Ludwig Neyses
- The Institute of Cardiovascular Sciences, The University of Manchester, UK
| | - Clare Austin
- Faculty of Health and Social Care, Edge Hill University, UK.
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Gene Silencing and Haploinsufficiency of Csk Increase Blood Pressure. PLoS One 2016; 11:e0146841. [PMID: 26751575 PMCID: PMC4713444 DOI: 10.1371/journal.pone.0146841] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2015] [Accepted: 12/22/2015] [Indexed: 01/11/2023] Open
Abstract
Objective Recent genome-wide association studies have identified 33 human genetic loci that influence blood pressure. The 15q24 locus is one such locus that has been confirmed in Asians and Europeans. There are 21 genes in the locus within a 1-Mb boundary, but a functional link of these genes to blood pressure has not been reported. We aimed to identify a causative gene for blood pressure change in the 15q24 locus. Methods and Results CSK and ULK3 were selected as candidate genes based on eQTL analysis studies that showed the association between gene transcript levels and the lead SNP (rs1378942). Injection of siRNAs for mouse homologs Csk, Ulk3, and Cyp1a2 (negative control) showed reduced target gene mRNA levels in vivo. However, Csk siRNA only increased blood pressure while Ulk3 and Cyp1a2 siRNA did not change it. Further, blood pressure in Csk+/- heterozygotes was higher than in wild-type, consistent with what we observed in Csk siRNA-injected mice. We confirmed that haploinsufficiency of Csk increased the active form of Src in Csk+/- mice aorta. We also showed that inhibition of Src by PP2, a Src inhibitor decreased high blood pressure in Csk+/- mice and the active Src in Csk+/- mice aorta and in Csk knock-down vascular smooth muscle cells, suggesting blood pressure regulation by Csk through Src. Conclusions Our study demonstrates that Csk is a causative gene in the 15q24 locus and regulates blood pressure through Src, and these findings provide a novel therapeutic target for the treatment of hypertension.
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Demura M, Saijoh K. The Role of DNA Methylation in Hypertension. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2016; 956:583-598. [PMID: 27888489 DOI: 10.1007/5584_2016_80] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
DNA methylation is the covalent modification of DNA that affects its function, without altering DNA sequences. Three important roles of DNA methylation include intrauterine programming, acquired predisposition, and transgenerational inheritance. A wide variety of factors can affect DNA methylation. Intrauterine programming involves drastic changes in DNA methylation patterns during cellular development and differentiation, which have a long-lasting effect on the predisposition of offspring. Influences from the mother, including maternal nutritional status, modify intrauterine epigenetic programming. In contrast to the rapid and drastic changes in utero, postnatal factors in daily life can also continue to slowly and dynamically change DNA methylation patterns in both somatic and germ cells. Epigenetic changes occurring in germ cell DNA exert a transgenerational impact on the phenotype of future generations, thus providing a means for ancestral transmission of environmental experiences. Despite adaptive ability, mismatch effect of transgenerational inheritance could be potentially harmful to health if environment has changed, and the acquired acclimatization is no longer beneficial. Increasing evidence from both human and animal studies indicates that DNA methylation exerts a causal impact on the development of hypertension. Therefore, an adverse outcome of maternal malnutrition could be the development of hypertension in offspring, whereby nutritional factors or disease conditions could induce phenotypes susceptible to hypertension through alteration of DNA methylation patterns. These factors are likely to alter DNA methylation patterns in all tissues including germ cells, and despite no direct evidence of an association between transgenerational epigenetic inheritance and hypertension, it is likely to play a role.
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Affiliation(s)
- Masashi Demura
- Department of Hygiene, Graduate School of Medical Science, Kanazawa University, Kanazawa, 920-8640, Japan.
| | - Kiyofumi Saijoh
- Department of Hygiene, Graduate School of Medical Science, Kanazawa University, Kanazawa, 920-8640, Japan
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Abstract
Heart disease is a leading cause of death in the United States, and hypertension is a predominant risk factor. Thus, effective blood pressure control is important to prevent adverse sequelae of hypertension, including heart failure, coronary artery disease, atrial fibrillation, and ischemic stroke. Over half of Americans have uncontrolled blood pressure, which may in part be explained by interpatient variability in drug response secondary to genetic polymorphism. As such, pharmacogenetic testing may be a supplementary tool to guide treatment. This review highlights the pharmacogenetics of antihypertensive response and response to drugs that treat adverse hypertension-related sequelae, particularly coronary artery disease and atrial fibrillation. While pharmacogenetic evidence may be more robust for the latter with respect to clinical implementation, there is increasing evidence of genetic variants that may help predict antihypertensive response. However, additional research and validation are needed before clinical implementation guidelines for antihypertensive therapy can become a reality.
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Kato N, Loh M, Takeuchi F, Verweij N, Wang X, Zhang W, Kelly TN, Saleheen D, Lehne B, Leach IM, Drong AW, Abbott J, Wahl S, Tan ST, Scott WR, Campanella G, Chadeau-Hyam M, Afzal U, Ahluwalia TS, Bonder MJ, Chen P, Dehghan A, Edwards TL, Esko T, Go MJ, Harris SE, Hartiala J, Kasela S, Kasturiratne A, Khor CC, Kleber ME, Li H, Yu Mok Z, Nakatochi M, Sapari NS, Saxena R, Stewart AFR, Stolk L, Tabara Y, Teh AL, Wu Y, Wu JY, Zhang Y, Aits I, Da Silva Couto Alves A, Das S, Dorajoo R, Hopewell JC, Kim YK, Koivula RW, Luan J, Lyytikäinen LP, Nguyen QN, Pereira MA, Postmus I, Raitakari OT, Bryan MS, Scott RA, Sorice R, Tragante V, Traglia M, White J, Yamamoto K, Zhang Y, Adair LS, Ahmed A, Akiyama K, Asif R, Aung T, Barroso I, Bjonnes A, Braun TR, Cai H, Chang LC, Chen CH, Cheng CY, Chong YS, Collins R, Courtney R, Davies G, Delgado G, Do LD, Doevendans PA, Gansevoort RT, Gao YT, Grammer TB, Grarup N, Grewal J, Gu D, Wander GS, Hartikainen AL, Hazen SL, He J, Heng CK, Hixson JE, Hofman A, Hsu C, Huang W, Husemoen LLN, Hwang JY, Ichihara S, Igase M, Isono M, Justesen JM, Katsuya T, Kibriya MG, Kim YJ, Kishimoto M, Koh WP, Kohara K, Kumari M, Kwek K, Lee NR, Lee J, Liao J, Lieb W, Liewald DCM, Matsubara T, Matsushita Y, Meitinger T, Mihailov E, Milani L, Mills R, Mononen N, Müller-Nurasyid M, Nabika T, Nakashima E, Ng HK, Nikus K, Nutile T, Ohkubo T, Ohnaka K, Parish S, Paternoster L, Peng H, Peters A, Pham ST, Pinidiyapathirage MJ, Rahman M, Rakugi H, Rolandsson O, Ann Rozario M, Ruggiero D, Sala CF, Sarju R, Shimokawa K, Snieder H, Sparsø T, Spiering W, Starr JM, Stott DJ, Stram DO, Sugiyama T, Szymczak S, Tang WHW, Tong L, Trompet S, Turjanmaa V, Ueshima H, Uitterlinden AG, Umemura S, Vaarasmaki M, van Dam RM, van Gilst WH, van Veldhuisen DJ, Viikari JS, Waldenberger M, Wang Y, Wang A, Wilson R, Wong TY, Xiang YB, Yamaguchi S, Ye X, Young RD, Young TL, Yuan JM, Zhou X, Asselbergs FW, Ciullo M, Clarke R, Deloukas P, Franke A, Franks PW, Franks S, Friedlander Y, Gross MD, Guo Z, Hansen T, Jarvelin MR, Jørgensen T, Jukema JW, kähönen M, Kajio H, Kivimaki M, Lee JY, Lehtimäki T, Linneberg A, Miki T, Pedersen O, Samani NJ, Sørensen TIA, Takayanagi R, Toniolo D, Ahsan H, Allayee H, Chen YT, Danesh J, Deary IJ, Franco OH, Franke L, Heijman BT, Holbrook JD, Isaacs A, Kim BJ, Lin X, Liu J, März W, Metspalu A, Mohlke KL, Sanghera DK, Shu XO, van Meurs JBJ, Vithana E, Wickremasinghe AR, Wijmenga C, Wolffenbuttel BHW, Yokota M, Zheng W, Zhu D, Vineis P, Kyrtopoulos SA, Kleinjans JCS, McCarthy MI, Soong R, Gieger C, Scott J, Teo YY, He J, Elliott P, Tai ES, van der Harst P, Kooner JS, Chambers JC. Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation. Nat Genet 2015; 47:1282-1293. [PMID: 26390057 PMCID: PMC4719169 DOI: 10.1038/ng.3405] [Citation(s) in RCA: 245] [Impact Index Per Article: 27.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2015] [Accepted: 08/21/2015] [Indexed: 12/17/2022]
Abstract
We carried out a trans-ancestry genome-wide association and replication study of blood pressure phenotypes among up to 320,251 individuals of East Asian, European and South Asian ancestry. We find genetic variants at 12 new loci to be associated with blood pressure (P = 3.9 × 10(-11) to 5.0 × 10(-21)). The sentinel blood pressure SNPs are enriched for association with DNA methylation at multiple nearby CpG sites, suggesting that, at some of the loci identified, DNA methylation may lie on the regulatory pathway linking sequence variation to blood pressure. The sentinel SNPs at the 12 new loci point to genes involved in vascular smooth muscle (IGFBP3, KCNK3, PDE3A and PRDM6) and renal (ARHGAP24, OSR1, SLC22A7 and TBX2) function. The new and known genetic variants predict increased left ventricular mass, circulating levels of NT-proBNP, and cardiovascular and all-cause mortality (P = 0.04 to 8.6 × 10(-6)). Our results provide new evidence for the role of DNA methylation in blood pressure regulation.
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Affiliation(s)
- Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Marie Loh
- Institute of Health Sciences, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Translational Laboratory in Genetic Medicine, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Niek Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Xu Wang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK
| | - Tanika N Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Danish Saleheen
- Center for Non-Communicable Diseases, Karachi, Pakistan
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
- Cardiovascular Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Irene Mateo Leach
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Alexander W Drong
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - James Abbott
- Bioinformatics Support Service, Imperial College London, London, UK
| | - Simone Wahl
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Sian-Tsung Tan
- Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - William R Scott
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Gianluca Campanella
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Uzma Afzal
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK
| | - Tarunveer S Ahluwalia
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Copenhagen Prospective Studies on Asthma in Childhood (COSPAC), Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
- Steno Diabetes Center, Gentofte, Denmark
| | - Marc Jan Bonder
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Peng Chen
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Todd L Edwards
- Vanderbilt Epidemiology Center, Center for Human Genetics Research, Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Division of Endocrinology, Children’s Hospital Boston, Boston, Massachusetts, USA
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
| | - Min Jin Go
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | - Sarah E Harris
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and Medical Research Council (MRC) Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
- Centre for Cognitive Aging and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Jaana Hartiala
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, USA
- Institute for Genetic Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Silva Kasela
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | | | - Chiea-Chuen Khor
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Genome Institute of Singapore, A*STAR, Singapore
- Department of Ophthalmology, National University of Singapore, Singapore
- Department of Paediatrics, National University of Singapore, Singapore
| | - Marcus E Kleber
- Medical Clinic V, Mannheim Medical Faculty, University of Heidelberg, Mannheim, Germany
| | - Huaixing Li
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Zuan Yu Mok
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Masahiro Nakatochi
- Center for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, Japan
| | - Nur Sabrina Sapari
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Richa Saxena
- Center for Human Genetic Research, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Alexandre F R Stewart
- University of Ottawa Heart Institute, Cardiovascular Research Methods Centre, Ottawa, Ontario, Canada
- Ruddy Canadian Cardiovascular Genetics Centre, Ottawa, Ontario, Canada
| | - Lisette Stolk
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Ai Ling Teh
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore
| | - Ying Wu
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Jer-Yuarn Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- School of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Yi Zhang
- State Key Laboratory of Medical Genetics, Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Hypertension, Shanghai, China
| | - Imke Aits
- Institute of Epidemiology and Biobank popgen, Christian Albrechts University of Kiel, Kiel, Germany
| | - Alexessander Da Silva Couto Alves
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (PHE) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Shikta Das
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (PHE) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | | | - Jemma C Hopewell
- Clinical Trials Support Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yun Kyoung Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | - Robert W Koivula
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University Hospital Malmö, Malmö, Sweden
| | - Jian’an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere, Finland
| | - Quang N Nguyen
- Vietnam National Heart Institute, Bach Mai Hospital, Hanoi, Vietnam
| | - Mark A Pereira
- School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Iris Postmus
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
- Netherlands Consortium for Healthy Ageing, Leiden, the Netherlands
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Molly Scannell Bryan
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| | - Robert A Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Rossella Sorice
- Institute of Genetics and Biophysics A Buzzati-Traverso, CNR, Naples, Italy
| | - Vinicius Tragante
- Division of Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Michela Traglia
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
- Institute for Maternal and Child Health, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) ‘Burlo Garofolo’, Trieste, Italy
| | - Jon White
- University College London Genetics Institute, Department of Genetics, Environment and Evolution, University College London, London, UK
| | - Ken Yamamoto
- Division of Genomics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Yonghong Zhang
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Linda S Adair
- Department of Nutrition, University of North Carolina, Chapel Hill, North Carolina, USA
| | | | - Koichi Akiyama
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Rasheed Asif
- Center for Non-Communicable Diseases, Karachi, Pakistan
| | - Tin Aung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Inês Barroso
- Metabolic Disease Group, Wellcome Trust Sanger Institute, Cambridge, UK
- National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
- University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Andrew Bjonnes
- Center for Human Genetic Research, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Timothy R Braun
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Hui Cai
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee, USA
- Vanderbilt-Ingram Cancer Center, Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Li-Ching Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- School of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Ching-Yu Cheng
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Department of Ophthalmology, National University of Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Centre for Quantitative Medicine, Office of Clinical Sciences, Duke–National University of Singapore Graduate Medical School, Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Rory Collins
- Clinical Trials Support Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Regina Courtney
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee, USA
- Vanderbilt-Ingram Cancer Center, Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Gail Davies
- Centre for Cognitive Aging and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Graciela Delgado
- Medical Clinic V, Mannheim Medical Faculty, University of Heidelberg, Mannheim, Germany
| | - Loi D Do
- Vietnam National Heart Institute, Bach Mai Hospital, Hanoi, Vietnam
| | - Pieter A Doevendans
- Division of Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Tanja B Grammer
- Medical Clinic V, Mannheim Medical Faculty, University of Heidelberg, Mannheim, Germany
| | - Niels Grarup
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jagvir Grewal
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK
| | - Dongfeng Gu
- Fu Wai Hospital and Cardiovascular Institute, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Gurpreet S Wander
- Dayanand Medical College and Hospital Unit, Hero DMC Heart Institute, Ludhiana, India
| | - Anna-Liisa Hartikainen
- Department of Obstetrics and Gynecology, Oulu University Hospital, Oulu, Finland
- Medical Research Center, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Stanley L Hazen
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Cell Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Jing He
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, Singapore
| | - James E Hixson
- Human Genetics Center, University of Texas School of Public Health at Houston, Houston, Texas, USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Chris Hsu
- University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Wei Huang
- Department of Genetics, Chinese National Human Genomic Center, Shanghai, China
| | - Lise L N Husemoen
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark
| | - Joo-Yeon Hwang
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | - Sahoko Ichihara
- Graduate School of Regional Innovation Studies, Mie University, Tsu, Japan
| | - Michiya Igase
- Department of Geriatric Medicine, Ehime University Graduate School of Medicine, Toon, Ehime, Japan
| | - Masato Isono
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Johanne M Justesen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - 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
| | - Muhammad G Kibriya
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| | - Young Jin Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | | | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Duke–National University of Singapore Graduate Medical School, Singapore
| | - Katsuhiko Kohara
- Department of Geriatric Medicine, Ehime University Graduate School of Medicine, Toon, Ehime, Japan
| | - Meena Kumari
- Department of Epidemiology and Public Health, University College London, London, UK
| | | | - Nanette R Lee
- University of San Carlos Office of Population Studies Foundation, University of San Carlos, Cebu City, Philippines
- Department of Anthropology, Sociology and History, University of San Carlos, Cebu City, Philippines
| | - Jeannette Lee
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Jiemin Liao
- Department of Ophthalmology, National University of Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank popgen, Christian Albrechts University of Kiel, Kiel, Germany
| | - David C M Liewald
- Centre for Cognitive Aging and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Tatsuaki Matsubara
- Department of Internal Medicine, Aichi-Gakuin University School of Dentistry, Nagoya, Japan
| | - Yumi Matsushita
- National Center for Global Health and Medicine, Toyama, Japan
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, Munich, Germany
| | | | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Rebecca Mills
- Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere, Finland
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
- Department of Medicine I, Ludwig Maximilians University Munich, Munich, Germany
- German Center for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Toru Nabika
- Department of Functional Pathology, Shimane University Faculty of Medicine, Izumo, Japan
| | - Eitaro Nakashima
- Division of Endocrinology and Diabetes, Department of Internal Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of Diabetes and Endocrinology, Chubu Rosai Hospital, Nagoya, Japan
| | - Hong Kiat Ng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Kjell Nikus
- Heart Centre, Department of Cardiology, Tampere University Hospital and University of Tampere School of Medicine, Tampere, Finland
| | - Teresa Nutile
- Institute of Genetics and Biophysics A Buzzati-Traverso, CNR, Naples, Italy
| | - Takayoshi Ohkubo
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
| | - Keizo Ohnaka
- Department of Geriatric Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Sarah Parish
- Clinical Trials Support Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Hao Peng
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Son T Pham
- Vietnam National Heart Institute, Bach Mai Hospital, Hanoi, Vietnam
| | | | - Mahfuzar Rahman
- UChicago Research Bangladesh, Uttara, Dhaka, Bangladesh
- Research and Evaluation Division, Bangladesh Rehabilitation Assistance Committee (BRAC), Dhaka, Bangladesh
| | - Hiromi Rakugi
- Department of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Section for Family Medicine, Umeå Universitet, Umeå, Sweden
| | - Michelle Ann Rozario
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics A Buzzati-Traverso, CNR, Naples, Italy
| | - Cinzia F Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Ralhan Sarju
- Dayanand Medical College and Hospital Unit, Hero DMC Heart Institute, Ludhiana, India
| | - Kazuro Shimokawa
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Thomas Sparsø
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Wilko Spiering
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - John M Starr
- Centre for Cognitive Aging and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - David J Stott
- Academic Section of Geriatric Medicine, Institute of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, Glasgow, UK
| | - Daniel O Stram
- University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Takao Sugiyama
- Institute for Adult Diseases, Asahi Life Foundation, Tokyo, Japan
| | - Silke Szymczak
- Institute of Clinical Molecular Biology, Christian Albrechts University of Kiel, Kiel, Germany
| | - W H Wilson Tang
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Lin Tong
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Väinö Turjanmaa
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
- Department of Clinical Physiology, University of Tampere School of Medicine, Tampere, Finland
| | - Hirotsugu Ueshima
- Department of Health Science, Shiga University of Medical Science, Otsu, Japan
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Satoshi Umemura
- Department of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Marja Vaarasmaki
- Department of Obstetrics and Gynecology, Oulu University Hospital, Oulu, Finland
- Medical Research Center, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Wiek H van Gilst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Dirk J van Veldhuisen
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Jorma S Viikari
- Division of Medicine, Turku University Hospital, Turku, Finland
- Department of Medicine, University of Turku, Turku, Finland
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
| | - Yiqin Wang
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Aili Wang
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Rory Wilson
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
| | - Tien-Yin Wong
- Department of Ophthalmology, National University of Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Shuhei Yamaguchi
- Third Department of Internal Medicine, Shimane University Faculty of Medicine, Izumo, Japan
| | - Xingwang Ye
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Robin D Young
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Terri L Young
- Neuroscience and Behavioural Disorders (NBD) Program, Duke–National University of Singapore Graduate Medical School, Singapore
- Duke Eye Center, Duke University Medical Center, Durham, North Carolina, USA
| | - Jian-Min Yuan
- Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, USA
| | - Xueya Zhou
- Bioinformatics Division, Tsinghua National Laboratory for Informatics Science and Technology (TNLIST), Ministry of Education Key Laboratory of Bioinformatics, Department of Automation, Tsinghua University, Beijing, China
- Center for Synthetic and Systems Biology, TNLIST, Ministry of Education Key Laboratory of Bioinformatics, Department of Automation, Tsinghua University, Beijing, China
- Department of Psychiatry, University of Hong Kong, Hong Kong
| | - Folkert W Asselbergs
- Division of Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
- Durrer Center for Cardiogenetic Research, Interuniversity Cardiology Institute of the Netherlands (ICIN)–Netherlands Heart Institute, Utrecht, the Netherlands
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK
| | - Marina Ciullo
- Institute of Genetics and Biophysics A Buzzati-Traverso, CNR, Naples, Italy
| | - Robert Clarke
- Clinical Trials Support Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Panos Deloukas
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- King Abdulaziz University, Jeddah, Saudi Arabia
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian Albrechts University of Kiel, Kiel, Germany
| | - Paul W Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University Hospital Malmö, Malmö, Sweden
- Department of Public Health and Clinical Medicine, Section for Family Medicine, Umeå Universitet, Umeå, Sweden
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Steve Franks
- Institute of Reproductive and Developmental Biology, Imperial College London, Hammersmith Hospital, London, UK
| | | | - Myron D Gross
- School of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - Zhirong Guo
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Torben Hansen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marjo-Riitta Jarvelin
- Institute of Health Sciences, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (PHE) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Center for Life Course Epidemiology, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Torben Jørgensen
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Durrer Center for Cardiogenetic Research, Interuniversity Cardiology Institute of the Netherlands (ICIN)–Netherlands Heart Institute, Utrecht, the Netherlands
- ICIN, Utrecht, the Netherlands
| | - Mika kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
- Department of Clinical Physiology, University of Tampere School of Medicine, Tampere, Finland
| | - Hiroshi Kajio
- National Center for Global Health and Medicine, Toyama, Japan
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Jong-Young Lee
- Ministry of Health and Welfare, Seoul, Republic of Korea
- THERAGEN ETEX Bio Institute, Suwon, Republic of Korea
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere, Finland
| | - Allan Linneberg
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark
- Department of Clinical Experimental Research, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tetsuro Miki
- Department of Geriatric Medicine, Ehime University Graduate School of Medicine, Toon, Ehime, Japan
| | - Oluf Pedersen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, UK
- NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Ryoichi Takayanagi
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Kyushu, Japan
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
- Institute of Molecular Genetics, National Research Council (CNR), Pavia, Italy
| | | | | | | | | | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| | - Hooman Allayee
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, USA
- Institute for Genetic Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Yuan-Tsong Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - John Danesh
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
- Wellcome Trust Sanger Institute, Hinxton, UK
| | - Ian J Deary
- Centre for Cognitive Aging and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Lude Franke
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Bastiaan T Heijman
- Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Aaron Isaacs
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Bong-Jo Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | - Xu Lin
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jianjun Liu
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Genome Institute of Singapore, A*STAR, Singapore
| | - Winfried März
- Medical Clinic V, Mannheim Medical Faculty, University of Heidelberg, Mannheim, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
- Synlab Academy, Synlab Services, Mannheim, Germany
| | | | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Dharambir K Sanghera
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee, USA
- Vanderbilt-Ingram Cancer Center, Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Eranga Vithana
- Department of Ophthalmology, National University of Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Neuroscience and Behavioural Disorders (NBD) Program, Duke–National University of Singapore Graduate Medical School, Singapore
| | | | - Cisca Wijmenga
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Bruce H W Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Mitsuhiro Yokota
- Department of Genome Science, Aichi-Gakuin University School of Dentistry, Nagoya, Japan
| | - Wei Zheng
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee, USA
- Vanderbilt-Ingram Cancer Center, Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Dingliang Zhu
- State Key Laboratory of Medical Genetics, Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Hypertension, Shanghai, China
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Soterios A Kyrtopoulos
- National Hellenic Research Foundation, Institute of Biology, Medicinal Chemistry and Biotechnology, Athens, Greece
| | - Jos C S Kleinjans
- Department of Toxicogenomics, Maastricht University, Maastricht, the Netherlands
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Richie Soong
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
- Department of Pathology, National University of Singapore, Singapore
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
| | - James Scott
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Genome Institute of Singapore, A*STAR, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- National University of Singapore Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore
- Life Sciences Institute, National University of Singapore, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, 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
- Department of Clinical Gene Therapy, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Durrer Center for Cardiogenetic Research, Interuniversity Cardiology Institute of the Netherlands (ICIN)–Netherlands Heart Institute, Utrecht, the Netherlands
| | - Jaspal S Kooner
- Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK
- National Heart and Lung Institute, Imperial College London, London, UK
- Imperial College Healthcare NHS Trust, London, UK
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK
- Imperial College Healthcare NHS Trust, London, UK
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Strehler EE. Plasma membrane calcium ATPases: From generic Ca(2+) sump pumps to versatile systems for fine-tuning cellular Ca(2.). Biochem Biophys Res Commun 2015; 460:26-33. [PMID: 25998731 DOI: 10.1016/j.bbrc.2015.01.121] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Accepted: 01/21/2015] [Indexed: 10/23/2022]
Abstract
The plasma membrane calcium ATPases (PMCAs) are ATP-driven primary ion pumps found in all eukaryotic cells. They are the major high-affinity calcium extrusion system for expulsion of Ca(2+) ions from the cytosol and help restore the low resting levels of intracellular [Ca(2+)] following the temporary elevation of Ca(2+) generated during Ca(2+) signaling. Due to their essential role in the maintenance of cellular Ca(2+) homeostasis they were initially thought to be "sump pumps" for Ca(2+) removal needed by all cells to avoid eventual calcium overload. The discovery of multiple PMCA isoforms and alternatively spliced variants cast doubt on this simplistic assumption, and revealed instead that PMCAs are integral components of highly regulated multi-protein complexes fulfilling specific roles in calcium-dependent signaling originating at the plasma membrane. Biochemical, genetic, and physiological studies in gene-manipulated and mutant animals demonstrate the important role played by specific PMCAs in distinct diseases including those affecting the peripheral and central nervous system, cardiovascular disease, and osteoporosis. Human PMCA gene mutations and allelic variants associated with specific disorders continue to be discovered and underline the crucial role of different PMCAs in particular cells, tissues and organs.
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Affiliation(s)
- Emanuel E Strehler
- Department of Biochemistry and Molecular Biology, Guggenheim 16-11A1, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA.
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Lim NK, Lee JY, Lee JY, Park HY, Cho MC. The Role of Genetic Risk Score in Predicting the Risk of Hypertension in the Korean population: Korean Genome and Epidemiology Study. PLoS One 2015; 10:e0131603. [PMID: 26110887 PMCID: PMC4482533 DOI: 10.1371/journal.pone.0131603] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2014] [Accepted: 06/03/2015] [Indexed: 01/11/2023] Open
Abstract
Hypertension is regarded as a multifactorial disease with a modest contribution of genetic factors and strongly affected by environmental factors. Recent genome-wide association studies have identified specific loci associated with high blood pressure (BP) and hypertension. This study aimed to examine the association between the genetic risk score (GRS), a linear function of multiple single nucleotide polymorphisms (SNPs) associated with hypertension, and high BP and prevalent hypertension at baseline examination and to evaluate the efficacy of the GRS for predicting incident hypertension with longitudinal data in Korean subjects. Data for 8,556 participants, aged 40 to 69, in a community-based cohort study were analyzed. Unweighted GRS (cGRS) and weighted GRS (wGRS) were constructed from 4 SNPs related to high BP or hypertension in previous genome-wide association and its replication studies for the Korean middle-aged population. Cross-sectional analysis (n=8,556) revealed that cGRS was significantly associated with prevalent hypertension (odds ratio=1.15 per risk allele; 95%CI, 1.09-1.20). Additionally, the odds ratios (ORs) of prevalent hypertension for those who in medium and the highest tertile compared with those who in the lowest tertile of wGRS were 1.31 (95% CI, 1.15-1.50) and 1.59 (95%CI, 1.38-1.82), respectively. In a longitudinal analysis (n=5,632), participants in the highest tertile of wGRS had a 1.22-fold (OR=1.22, 95%CI, 1.02‒1.46) greater risk of incident hypertension relative to those in the lowest tertile, after adjusting for a number of confounding factors. However, wGRS topped with traditional risk factors had no significant effect on discrimination ability (c-statistics with and without wGRS were 0.811 and 0.810, P=0.1057). But, reclassification analysis showed that the addition of GRS to the model with conventional risk factors led to about 9% significant increment in category-free net reclassification improvement. GRSs based on 4 SNPs were independently associated with hypertension and may provide a statistically significant improvement over the existing model for prediction of incident hypertension.
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Affiliation(s)
- Nam-Kyoo Lim
- Division of Cardiovascular and Rare Diseases, Korea National Institute of Health, Cheongju, Republic of Korea
| | - Ji-Young Lee
- Division of Structural and Functional Genomics, Korea National Institute of Health, Cheongju, Republic of Korea
- Cardiovascular Research Institute and Cardiovascular Genome Center, Yonsei University Health System, Seoul, Republic of Korea
| | - Jong-Young Lee
- Division of Structural and Functional Genomics, Korea National Institute of Health, Cheongju, Republic of Korea
| | - Hyun-Young Park
- Division of Cardiovascular and Rare Diseases, Korea National Institute of Health, Cheongju, Republic of Korea
- * E-mail:
| | - Myeong-Chan Cho
- Department of Cardiology, College of Medicine, Chungbuk National University, Cheongju, Republic of Korea
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41
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Gurdasani D, Carstensen T, Tekola-Ayele F, Pagani L, Tachmazidou I, Hatzikotoulas K, Karthikeyan S, Iles L, Pollard MO, Choudhury A, Ritchie GRS, Xue Y, Asimit J, Nsubuga RN, Young EH, Pomilla C, Kivinen K, Rockett K, Kamali A, Doumatey AP, Asiki G, Seeley J, Sisay-Joof F, Jallow M, Tollman S, Mekonnen E, Ekong R, Oljira T, Bradman N, Bojang K, Ramsay M, Adeyemo A, Bekele E, Motala A, Norris SA, Pirie F, Kaleebu P, Kwiatkowski D, Tyler-Smith C, Rotimi C, Zeggini E, Sandhu MS. The African Genome Variation Project shapes medical genetics in Africa. Nature 2014; 517:327-32. [PMID: 25470054 PMCID: PMC4297536 DOI: 10.1038/nature13997] [Citation(s) in RCA: 378] [Impact Index Per Article: 37.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Accepted: 10/23/2014] [Indexed: 12/27/2022]
Abstract
Given the importance of Africa to studies of human origins and disease susceptibility, detailed characterization of African genetic diversity is needed. The African Genome Variation Project provides a resource with which to design, implement and interpret genomic studies in sub-Saharan Africa and worldwide. The African Genome Variation Project represents dense genotypes from 1,481 individuals and whole-genome sequences from 320 individuals across sub-Saharan Africa. Using this resource, we find novel evidence of complex, regionally distinct hunter-gatherer and Eurasian admixture across sub-Saharan Africa. We identify new loci under selection, including loci related to malaria susceptibility and hypertension. We show that modern imputation panels (sets of reference genotypes from which unobserved or missing genotypes in study sets can be inferred) can identify association signals at highly differentiated loci across populations in sub-Saharan Africa. Using whole-genome sequencing, we demonstrate further improvements in imputation accuracy, strengthening the case for large-scale sequencing efforts of diverse African haplotypes. Finally, we present an efficient genotype array design capturing common genetic variation in Africa.
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Affiliation(s)
- Deepti Gurdasani
- 1] Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] Department of Public Health and Primary Care, University of Cambridge, 2 Wort's Causeway, Cambridge, CB1 8RN, UK
| | - Tommy Carstensen
- 1] Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] Department of Public Health and Primary Care, University of Cambridge, 2 Wort's Causeway, Cambridge, CB1 8RN, UK
| | - Fasil Tekola-Ayele
- Centre for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, MSC 5635, Bethesda, Maryland 20891-5635, USA
| | - Luca Pagani
- 1] Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] Department of Biological, Geological and Environmental Sciences, University of Bologna, Via Selmi 3, 40126 Bologna, Italy
| | - Ioanna Tachmazidou
- Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | | | - Savita Karthikeyan
- 1] Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] Department of Public Health and Primary Care, University of Cambridge, 2 Wort's Causeway, Cambridge, CB1 8RN, UK
| | - Louise Iles
- 1] Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] Department of Public Health and Primary Care, University of Cambridge, 2 Wort's Causeway, Cambridge, CB1 8RN, UK [3] Department of Archaeology, University of York, King's Manor, York YO1 7EP, UK
| | - Martin O Pollard
- Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Ananyo Choudhury
- Sydney Brenner Institute of Molecular Bioscience (SBIMB), University of the Witwatersrand, The Mount, 9 Jubilee Road, Parktown 2193, Johannesburg, Gauteng, South Africa
| | - Graham R S Ritchie
- 1] Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] Vertebrate Genomics, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Yali Xue
- Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Jennifer Asimit
- Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Rebecca N Nsubuga
- Medical Research Council/Uganda Virus Research Institute, Plot 51-57 Nakiwogo Road, Uganda
| | - Elizabeth H Young
- 1] Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] Department of Public Health and Primary Care, University of Cambridge, 2 Wort's Causeway, Cambridge, CB1 8RN, UK
| | - Cristina Pomilla
- 1] Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] Department of Public Health and Primary Care, University of Cambridge, 2 Wort's Causeway, Cambridge, CB1 8RN, UK
| | - Katja Kivinen
- Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Kirk Rockett
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Headington, Oxford OX3 7BN, UK
| | - Anatoli Kamali
- Medical Research Council/Uganda Virus Research Institute, Plot 51-57 Nakiwogo Road, Uganda
| | - Ayo P Doumatey
- Centre for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, MSC 5635, Bethesda, Maryland 20891-5635, USA
| | - Gershim Asiki
- Medical Research Council/Uganda Virus Research Institute, Plot 51-57 Nakiwogo Road, Uganda
| | - Janet Seeley
- Medical Research Council/Uganda Virus Research Institute, Plot 51-57 Nakiwogo Road, Uganda
| | - Fatoumatta Sisay-Joof
- Medical Research Council Unit, Atlantic Boulevard, SerrekundaPO Box 273, Banjul, The Gambia
| | - Muminatou Jallow
- Medical Research Council Unit, Atlantic Boulevard, SerrekundaPO Box 273, Banjul, The Gambia
| | - Stephen Tollman
- 1] Medical Research Council/Wits Rural Public Health and Health Transitions Unit, School of Public Health, Education Campus, 27 St Andrew's Road, Parktown 2192, Johannesburg, Gauteng, South Africa [2] INDEPTH Network, 38/40 Mensah Wood Street, East Legon, PO Box KD 213, Kanda, Accra, Ghana
| | - Ephrem Mekonnen
- Institute of Biotechnology, Addis Ababa University, Entoto Avenue, Arat Kilo, 16087 Addis Ababa, Ethiopia
| | - Rosemary Ekong
- Department of Genetics Evolution and Environment, University College, London, Gower Street, London WC1E 6BT, UK
| | - Tamiru Oljira
- University of Haramaya, Department of Biology, PO Box 138, Dire Dawa, Ethiopia
| | - Neil Bradman
- Henry Stewart Group, 28/30 Little Russell Street, London WC1A 2HN, UK
| | - Kalifa Bojang
- Medical Research Council Unit, Atlantic Boulevard, SerrekundaPO Box 273, Banjul, The Gambia
| | - Michele Ramsay
- 1] Sydney Brenner Institute of Molecular Bioscience (SBIMB), University of the Witwatersrand, The Mount, 9 Jubilee Road, Parktown 2193, Johannesburg, Gauteng, South Africa [2] Division of Human Genetics, National Health Laboratory Service, C/O Hospital and de Korte Streets, Braamfontein 2000, Johannesburg, South Africa [3] School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Braamfontein 2000, Johannesburg, South Africa
| | - Adebowale Adeyemo
- Centre for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, MSC 5635, Bethesda, Maryland 20891-5635, USA
| | - Endashaw Bekele
- Department of Microbial, Cellular and Molecular Biology, College of Natural Sciences, Arat Kilo Campus, Addis Ababa University, PO Box 1176, Addis Ababa, Ethiopia
| | - Ayesha Motala
- Department of Diabetes and Endocrinology, University of KwaZulu-Natal, 719 Umbilo Road, Congella, Durban 4013, South Africa
| | - Shane A Norris
- Department of Paediatrics, University of Witwatersrand, 7 York Road, Parktown 2198, Johannesburg, Gauteng, South Africa
| | - Fraser Pirie
- Department of Diabetes and Endocrinology, University of KwaZulu-Natal, 719 Umbilo Road, Congella, Durban 4013, South Africa
| | - Pontiano Kaleebu
- Medical Research Council/Uganda Virus Research Institute, Plot 51-57 Nakiwogo Road, Uganda
| | - Dominic Kwiatkowski
- 1] Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Headington, Oxford OX3 7BN, UK
| | - Chris Tyler-Smith
- Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Charles Rotimi
- Centre for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, MSC 5635, Bethesda, Maryland 20891-5635, USA
| | - Eleftheria Zeggini
- Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Manjinder S Sandhu
- 1] Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] Department of Public Health and Primary Care, University of Cambridge, 2 Wort's Causeway, Cambridge, CB1 8RN, UK
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42
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Lardjam-Hetraf SA, Mediene-Benchekor S, Ouhaibi-Djellouli H, Meroufel DN, Boulenouar H, Hermant X, Hamani-Medjaoui I, Saidi-Mehtar N, Amouyel P, Houti L, Goumidi L, Meirhaeghe A. Effects of established blood pressure loci on blood pressure values and hypertension risk in an Algerian population sample. J Hum Hypertens 2014; 29:296-302. [PMID: 25231511 DOI: 10.1038/jhh.2014.81] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2014] [Revised: 06/20/2014] [Accepted: 07/28/2014] [Indexed: 12/20/2022]
Abstract
Genome-wide association studies and subsequent replication studies have pinpointed 29 genetic variants associated with blood pressure (BP). None of these studies included North African populations. We therefore looked at whether or not these genetic variants modulated BP and hypertension (HTN) risk in an Algerian population sample. Twenty-nine single-nucleotide polymorphisms (SNPs) were genotyped in a representative sample of 787 subjects from the InSulino-résistance à ORan (ISOR) study (378 men and 409 women aged between 30 and 64 years and recruited from within the city of Oran, Algeria). Genetic variants were considered both individually and when combined as genetic predisposition scores (GPSs) for systolic BP (SBP), diastolic BP (DBP) and HTN risk. The SNPs in CYP1A1-ULK3, HFE and SH2B3 were significantly associated with BP and/or HTN. The SBP-GPS, DBP-GPS and HTN-GPS were associated with higher levels of DBP (+0.24 mm Hg P=0.05, +0.23 mm Hg P = 0.05 and +0.26 mm Hg P = 0.03, respectively). Moreover, the three GPSs tended to be associated with a 6% higher risk of HTN. Our study is the first to show that some of the BP loci validated in subjects of European descent were associated (either individually or when combined as GPSs) with BP traits and/or the HTN risk in an Algerian population, but to a lesser extent than in European populations. Although larger studies and meta-analyses of North African populations are needed to confirm the present results, our data contribute to a better understanding of genetic susceptibility to HTN.
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Affiliation(s)
- S A Lardjam-Hetraf
- Laboratoire de Génétique Moléculaire et Cellulaire, Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf, Oran, Algeria
| | - S Mediene-Benchekor
- 1] Laboratoire de Génétique Moléculaire et Cellulaire, Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf, Oran, Algeria [2] Département de Biotechnologie, Faculté des sciences de la Nature et de la Vie, Université d'Oran, Oran, Algeria
| | - H Ouhaibi-Djellouli
- 1] Laboratoire de Génétique Moléculaire et Cellulaire, Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf, Oran, Algeria [2] Département de Biotechnologie, Faculté des sciences de la Nature et de la Vie, Université d'Oran, Oran, Algeria
| | - D N Meroufel
- Laboratoire de Génétique Moléculaire et Cellulaire, Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf, Oran, Algeria
| | - H Boulenouar
- Laboratoire de Génétique Moléculaire et Cellulaire, Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf, Oran, Algeria
| | - X Hermant
- INSERM U744, Institut Pasteur de Lille, Université Lille Nord de France, Lille, France
| | - I Hamani-Medjaoui
- Caisse Nationale des Assurances Sociales des travailleurs salariés, Clinique Spécialisée en Orthopédie et Rééducation des Victimes des Accidents de Travail, Oran, Algeria
| | - N Saidi-Mehtar
- Laboratoire de Génétique Moléculaire et Cellulaire, Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf, Oran, Algeria
| | - P Amouyel
- INSERM U744, Institut Pasteur de Lille, Université Lille Nord de France, Lille, France
| | - L Houti
- 1] Laboratoire de Génétique Moléculaire et Cellulaire, Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf, Oran, Algeria [2] Faculté de Médecine, Université Djillali Liabes de Sidi Bel Abbès, Sidi Bel Abbès, Algeria [3] Laboratoire des Systèmes d'Information en Santé, Université d'Oran, Oran, Algeria
| | - L Goumidi
- INSERM U744, Institut Pasteur de Lille, Université Lille Nord de France, Lille, France
| | - A Meirhaeghe
- INSERM U744, Institut Pasteur de Lille, Université Lille Nord de France, Lille, France
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Genome-wide copy number variation study reveals KCNIP1 as a modulator of insulin secretion. Genomics 2014; 104:113-20. [DOI: 10.1016/j.ygeno.2014.05.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2014] [Revised: 05/19/2014] [Accepted: 05/23/2014] [Indexed: 01/09/2023]
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Kim YK, Kim Y, Hwang MY, Shimokawa K, Won S, Kato N, Tabara Y, Yokota M, Han BG, Lee JH, Kim BJ. Identification of a genetic variant at 2q12.1 associated with blood pressure in East Asians by genome-wide scan including gene-environment interactions. BMC MEDICAL GENETICS 2014; 15:65. [PMID: 24903457 PMCID: PMC4059884 DOI: 10.1186/1471-2350-15-65] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2014] [Accepted: 06/02/2014] [Indexed: 01/01/2023]
Abstract
Background Genome-wide association studies have identified many genetic loci associated with blood pressure (BP). Genetic effects on BP can be altered by environmental exposures via multiple biological pathways. Especially, obesity is one of important environmental risk factors that can have considerable effect on BP and it may interact with genetic factors. Given that, we aimed to test whether genetic factors and obesity may jointly influence BP. Methods We performed meta-analyses of genome-wide association data for systolic blood pressure (SBP) and diastolic blood pressure (DBP) that included analyses of interaction between single nucleotide polymorphisms (SNPs) and the obesity-related anthropometric measures, body mass index (BMI), height, weight, and waist/hip ratio (WHR) in East-Asians (n = 12,030). Results We identified that rs13390641 on 2q12.1 demonstrated significant association with SBP when the interaction between SNPs and BMI was considered (P < 5 × 10 -8). The gene located nearest to rs13390641, TMEM182, encodes transmembrane protein 182. In stratified analyses, the effect of rs13390641 on BP was much stronger in obese individuals (BMI ≥ 30) than non-obese individuals and the effect of BMI on BP was strongest in individuals with the homozygous A allele of rs13390641. Conclusions Our analyses that included interactions between SNPs and environmental factors identified a genetic variant associated with BP that was overlooked in standard analyses in which only genetic factors were included. This result also revealed a potential mechanism that integrates genetic factors and obesity related traits in the development of high BP.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Bong-Jo Kim
- Division of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, 363-700 Chungcheongbuk-do, Republic of Korea.
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Wan JP, Wang H, Li CZ, Zhao H, You L, Shi DH, Sun XH, Lv H, Wang F, Wen ZQ, Wang XT, Chen ZJ. The common single-nucleotide polymorphism rs2681472 is associated with early-onset preeclampsia in Northern Han Chinese women. Reprod Sci 2014; 21:1423-7. [PMID: 24642721 DOI: 10.1177/1933719114527354] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Preeclampsia, characterized by hypertension and proteinuria, remains a leading cause of maternal morbidity and mortality. Recently, a genome-wide association study (GWAS) identified the single-nucleotide polymorphism, rs2681472, as a new hypertension susceptibility genetic variant. The purpose of this study was to evaluate the association between preeclampsia and rs268172 in a Northern Han Chinese population. We genotyped 1218 unrelated Northern Han Chinese women, including 515 patients with preeclampsia and 703 healthy controls. No significant differences were detected in the allele frequencies between patients and controls (P = .23). When patients were divided into early-onset and late-onset preeclampsia according to gestational age of disease onset, the allele frequencies significantly differed between controls and patients with early-onset preeclampsia (P = .02). Genotype frequencies also were significantly different between controls and patients early-onset preeclampsia when data were analyzed under additive (P = .03) and dominant (P = .009) models. We replicated this association in an independent Northern Han Chinese population and observed a significant difference in the allele frequencies between patients with early-onset preeclampsia and controls (P = .011). We report that rs2681472 is associated with early-onset preeclampsia in Northern Han Chinese women.
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Affiliation(s)
- Ji-Peng Wan
- Department of Obstetrics and Gynecology, Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Hong Wang
- Department of Obstetrics and Gynecology, Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Chang-Zhong Li
- Department of Obstetrics and Gynecology, Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Han Zhao
- Center for Reproductive Medicine, Provincial Hospital Affiliated to Shandong University, Jinan, China National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China The Key laboratory for Reproductive Endocrinology of Ministry of Education, China Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
| | - Li You
- Center for Reproductive Medicine, Provincial Hospital Affiliated to Shandong University, Jinan, China National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China The Key laboratory for Reproductive Endocrinology of Ministry of Education, China Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
| | - Dong-Hong Shi
- Department of Obstetrics and Gynecology, Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Xiu-Hua Sun
- Department of Obstetrics and Gynecology, Qingdao Municipal Hospital, Qingdao, China
| | - Hong Lv
- Department of Obstetrics and Gynecology, Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Fei Wang
- Department of Obstetrics and Gynecology, Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Ze-Qing Wen
- Department of Obstetrics and Gynecology, Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Xie-Tong Wang
- Department of Obstetrics and Gynecology, Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Zi-Jiang Chen
- Center for Reproductive Medicine, Provincial Hospital Affiliated to Shandong University, Jinan, China National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China The Key laboratory for Reproductive Endocrinology of Ministry of Education, China Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
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AlSaleh A, Maniou Z, Lewis FJ, Hall WL, Sanders TAB, O'Dell SD. Interaction between a CSK gene variant and fish oil intake influences blood pressure in healthy adults. J Nutr 2014; 144:267-72. [PMID: 24401815 DOI: 10.3945/jn.113.185108] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Blood pressure is a heritable determinant of cardiovascular disease (CVD) risk. Recent genome-wide association studies have identified several single-nucleotide polymorphisms (SNPs) associated with blood pressure, including rs1378942 in the c-Src tyrosine kinase (CSK) gene. Fish oil supplementation provides inconsistent protection from CVD, which may reflect genetic variation. We investigated the effect of rs1378942 genotype interaction with fish oil dosage on blood pressure measurements in the MARINA (Modulation of Atherosclerosis Risk by Increasing doses of N-3 fatty Acids) study, a parallel, double-blind, controlled trial in 367 participants randomly assigned to receive treatment with 0.45, 0.9, and 1.8 g/d eicosapentaenoic acid [EPA (20:5n-3)] and docosahexaenoic acid [DHA (22:6n-3)] (1.51:1) or an olive oil placebo for 12 mo. A total of 310 participants were genotyped. There were no significant associations with blood pressure measures at baseline; however, the interaction between genotype and treatment was a significant determinant of systolic blood pressure (SBP) (P = 0.010), diastolic blood pressure (DBP) (P = 0.037), and mean arterial blood pressure (MABP) (P = 0.014). After the 1.8 g/d dose, noncarriers of the rs1378942 variant allele showed significantly lower SBP (P = 0.010), DBP (P = 0.016), and MABP (P = 0.032) at follow-up, adjusted for baseline values, than did carriers. We found no evidence of SNP genotype association with endothelial function (brachial artery diameter and flow-mediated dilatation), arterial stiffness (carotid-femoral pulse wave velocity and digital volume pulse), and resting heart rate. A high intake of EPA and DHA could help protect noncarriers but not carriers of the risk allele. Dietary recommendations to reduce blood pressure in the general population may not necessarily benefit those most at risk. This trial was registered at controlled-trials.com as ISRCTN66664610.
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Affiliation(s)
- Aseel AlSaleh
- Diabetes and Nutritional Sciences Division, School of Medicine, King's College London, London, UK
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Wain LV. Blood Pressure Genetics and Hypertension: Genome-Wide Analysis and Role of Ancestry. CURRENT GENETIC MEDICINE REPORTS 2014. [DOI: 10.1007/s40142-014-0032-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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Multivariate generalized multifactor dimensionality reduction to detect gene-gene interactions. BMC SYSTEMS BIOLOGY 2013; 7 Suppl 6:S15. [PMID: 24565370 PMCID: PMC4029529 DOI: 10.1186/1752-0509-7-s6-s15] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background Recently, one of the greatest challenges in genome-wide association studies is to detect gene-gene and/or gene-environment interactions for common complex human diseases. Ritchie et al. (2001) proposed multifactor dimensionality reduction (MDR) method for interaction analysis. MDR is a combinatorial approach to reduce multi-locus genotypes into high-risk and low-risk groups. Although MDR has been widely used for case-control studies with binary phenotypes, several extensions have been proposed. One of these methods, a generalized MDR (GMDR) proposed by Lou et al. (2007), allows adjusting for covariates and applying to both dichotomous and continuous phenotypes. GMDR uses the residual score of a generalized linear model of phenotypes to assign either high-risk or low-risk group, while MDR uses the ratio of cases to controls. Methods In this study, we propose multivariate GMDR, an extension of GMDR for multivariate phenotypes. Jointly analysing correlated multivariate phenotypes may have more power to detect susceptible genes and gene-gene interactions. We construct generalized estimating equations (GEE) with multivariate phenotypes to extend generalized linear models. Using the score vectors from GEE we discriminate high-risk from low-risk groups. We applied the multivariate GMDR method to the blood pressure data of the 7,546 subjects from the Korean Association Resource study: systolic blood pressure (SBP) and diastolic blood pressure (DBP). We compare the results of multivariate GMDR for SBP and DBP to the results from separate univariate GMDR for SBP and DBP, respectively. We also applied the multivariate GMDR method to the repeatedly measured hypertension status from 5,466 subjects and compared its result with those of univariate GMDR at each time point. Results Results from the univariate GMDR and multivariate GMDR in two-locus model with both blood pressures and hypertension phenotypes indicate best combinations of SNPs whose interaction has significant association with risk for high blood pressures or hypertension. Although the test balanced accuracy (BA) of multivariate analysis was not always greater than that of univariate analysis, the multivariate BAs were more stable with smaller standard deviations. Conclusions In this study, we have developed multivariate GMDR method using GEE approach. It is useful to use multivariate GMDR with correlated multiple phenotypes of interests.
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Male-specific genetic effect on hypertension and metabolic disorders. Hum Genet 2013; 133:311-9. [PMID: 24142389 DOI: 10.1007/s00439-013-1382-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2013] [Accepted: 10/07/2013] [Indexed: 12/21/2022]
Abstract
Genetic risk factors for hypertension may have age or gender specificity and pleiotropic effects. This study aims to measure the risk of genetic and non-genetic factors in the occurrence of hypertension and related diseases, with consideration of potential confounding factors and age-gender stratification. A discovery set of 352,228 genotyped plus 1.8 million imputed single-nucleotide polymorphisms were analyzed for 2,886 hypertensive cases and 3,440 healthy controls obtained from two community-based cohorts in Korea, and selected gene variants were replicated in the Health Examinee cohort (665 cases and 1,285 controls). Genome-wide association analyses were conducted in 12 groups stratified by age and gender after adjusting for potential covariates under three genetic models. Age, rural area residence, body mass index, family history of hypertension, male gender, current alcohol drinking status, and current smoking status were significantly associated with hypertension (P = 4 × 10(-151) to 0.011). Five gene variants, rs11066280 (C12orf51), rs12229654 and rs3782889 (MYL2), rs2072134 (OAS3), rs2093395 (TREML2), and rs17249754 (ATP2B1), were found to be associated with hypertension mostly in men (P = 4.76 × 10(-14) to 4.46 × 10(-7) in the joint analysis); three SNPs (rs11066280, rs12229654, and rs3782889) remained significant after Bonferroni correction in an independent population. Three gene variants, rs12229654, rs17249754, and rs11066280, were significantly associated with metabolic disorders such as hyperlipidemia and diabetes (P = 0.00071 to 0.0097, respectively). Careful consideration of the potential confounding effects in future genome-wide association studies is necessary to uncover the genetic underpinnings of complex diseases.
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Abstract
The elucidation of genes implicated in Mendelian forms of hypertension demonstrates rare variants with substantial effects are responsible, and often these genes lie within pathways managing sodium homeostasis. More recently with advances in affordable high-throughput genotyping strategies, multiple common genetic variants with modest effects on blood pressure (<1 mmHg systolic) have been discovered in the population. In aggregate, these common variants explain <3% of the variance of blood pressure. Although these findings may offer new mechanistic insights into the biology of blood pressure, a key question is can these findings translate into patient benefit? It is timely to reflect on recent advances in genomics, and the use of new resources, such as the 1000 Genomes Project and the Encyclopedia of DNA Elements, to annotate likely causal variants, and their relevance to cardiovascular disease. In this review, we discuss the advances in relation to our knowledge of the genetic architecture of blood pressure, and whether gene discoveries might influence cardiovascular risk assessment, help to stratify patient response to medicine, or identify new biological pathways for novel therapeutic targets.
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Affiliation(s)
- Patricia B Munroe
- William Harvey Research Institute and Barts National Institute for Health Research Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ United Kingdom
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