1
|
Ottaiano A, Circelli L, Santorsola M, Savarese G, Fontanella D, Gigantino V, Di Mauro A, Capuozzo M, Zappavigna S, Lombardi A, Perri F, Cascella M, Granata V, Capuozzo M, Nasti G, Caraglia M. Metastatic colorectal cancer and type 2 diabetes: prognostic and genetic interactions. Mol Oncol 2021; 16:319-332. [PMID: 34668636 PMCID: PMC8763648 DOI: 10.1002/1878-0261.13122] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 10/04/2021] [Accepted: 10/19/2021] [Indexed: 12/13/2022] Open
Abstract
The present study was undertaken to analyze prognostic and genetic interactions between type 2 diabetes and metastatic colorectal cancer. Patients’ survival was depicted through the Kaplan–Meier product limit method. Prognostic factors were examined through the Cox proportional‐hazards regression model, and associations between diabetes and clinical‐pathologic variables were evaluated by the χ2 test. In total, 203 metastatic colorectal cancer patients were enrolled. Lymph nodes (P = 0.0004) and distant organs (> 2 distant sites, P = 0.0451) were more frequently involved in diabetic patients compared with those without diabetes. Diabetes had an independent statistically significant negative prognostic value for survival. Highly selected patients with cancer and/or diabetes as their only illness(es) were divided into three groups: (a) seven oligo‐metastatic patients without diabetes, (b) 10 poly‐metastatic patients without diabetes, and (c) 12 poly‐metastatic diabetic patients. These groups of patients were genetically characterized through the Illumina NovaSeq 6000 (San Diego, CA, USA) platform and TruSigt™Oncology 500 kit, focusing on genes involved in diabetes and colorectal cancer. Gene variants associated with diabetes and cancer were more frequent in patients in group 3. We found that type 2 diabetes is a negative prognostic factor for survival in colorectal cancer. Diabetes‐associated gene variants could concur with malignancy, providing a rational basis for innovative models of tumor progression and therapy.
Collapse
Affiliation(s)
| | - Luisa Circelli
- AMES, Centro Polidiagnostico Strumentale srl, Naples, Italy
| | | | | | | | | | | | | | - Silvia Zappavigna
- Department of Precision Medicine, University "L. Vanvitelli" of Naples, Italy.,Cytometric and Mutational Diagnostics, Azienda Universitaria Policlinico "L. Vanvitelli,", Naples, Italy
| | - Angela Lombardi
- Department of Precision Medicine, University "L. Vanvitelli" of Naples, Italy.,Cytometric and Mutational Diagnostics, Azienda Universitaria Policlinico "L. Vanvitelli,", Naples, Italy
| | - Francesco Perri
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale,", Naples, Italy
| | - Marco Cascella
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale,", Naples, Italy
| | - Vincenza Granata
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale,", Naples, Italy
| | | | - Guglielmo Nasti
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale,", Naples, Italy
| | - Michele Caraglia
- Department of Precision Medicine, University "L. Vanvitelli" of Naples, Italy.,Cytometric and Mutational Diagnostics, Azienda Universitaria Policlinico "L. Vanvitelli,", Naples, Italy.,Laboratory of Precision and Molecular Oncology, Biogem Scarl, Institute of Genetic Research, Ariano Irpino, Italy
| |
Collapse
|
2
|
Akram F, Gragnoli C, Raheja UK, Snitker S, Lowry CA, Sterns-Yoder KA, Hoisington AJ, Brenner LA, Saunders E, Stiller JW, Ryan KA, Rohan KJ, Mitchell BD, Postolache TT. Seasonal affective disorder and seasonal changes in weight and sleep duration are inversely associated with plasma adiponectin levels. J Psychiatr Res 2020; 122:97-104. [PMID: 31981963 PMCID: PMC7024547 DOI: 10.1016/j.jpsychires.2019.12.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2019] [Revised: 12/25/2019] [Accepted: 12/30/2019] [Indexed: 12/15/2022]
Abstract
Overlapping pathways between mood and metabolic regulation have increasingly been reported. Although impaired regulation of adiponectin, a major metabolism-regulating hormone, has been implicated in major depressive disorder, its role in seasonal changes in mood and seasonal affective disorder-winter type (SAD), a disorder characterized by onset of mood impairment and metabolic dysregulation (e.g., carbohydrate craving and weight gain) in fall/winter and spontaneous alleviation in spring/summer, has not been previously studied. We studied a convenience sample of 636 Old Order Amish (mean (± SD), 53.6 (±14.8) years; 50.1% males), a population with self-imposed restriction on network electric light at home, and low prevalence of total SAD (t-SAD = syndromal + subsyndromal). We calculated the global seasonality score (GSS), estimated SAD and subsyndromal-SAD after obtaining Seasonal Pattern Assessment Questionnaires (SPAQs), and measured overnight fasting plasma adiponectin levels. We then tested associations between plasma adiponectin levels and GSS, t-SAD, winter-summer difference in self-reported sleep duration, and self-reported seasonal weight change, by using analysis of co-variance (ANCOVA) and linear regression analysis after adjusting for age, gender, and BMI. Participants with t-SAD (N = 14; 2.2%) had significantly lower plasma adiponectin levels (mean ± SEM, 8.76 ± 1.56 μg/mL) than those without t-SAD (mean ± SEM, 11.93 ± 0.22 μg/mL) (p = 0.035). In addition, there was significant negative association between adiponectin levels and winter-summer difference in self-reported sleep duration (p = 0.025) and between adiponectin levels and self-reported seasonal change in weight (p = 0.006). There was no significant association between GSS and adiponectin levels (p = 0.88). To our knowledge, this is the first study testing the association of SAD with adiponectin levels. Replication and extension of our findings longitudinally and, then, interventionally, may implicate low adiponectin as a novel target for therapeutic intervention in SAD.
Collapse
Affiliation(s)
- Faisal Akram
- Mood and Anxiety Program, University of Maryland School of Medicine, Baltimore, MD, USA,Saint Elizabeths Hospital, DC Department of Behavioral Health, Washington, DC, USA
| | - Claudia Gragnoli
- Division of Endocrinology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA,Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA,Molecular Biology Laboratory, Bios Biotech Multi-Diagnostic Health Center, Rome, Italy
| | - Uttam K. Raheja
- Mood and Anxiety Program, University of Maryland School of Medicine, Baltimore, MD, USA,Saint Elizabeths Hospital, DC Department of Behavioral Health, Washington, DC, USA
| | - Soren Snitker
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA,Amish Research Clinic of the University of Maryland, Lancaster, PA, USA
| | - Christopher A. Lowry
- Veterans Health Administration, Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center (RMRVAMC), Aurora, CO, USA,Department of Physical Medicine & Rehabilitation and Center for Neuroscience, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Aurora, CO, USA,Department of Integrative Physiology and Center for Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Kelly A. Sterns-Yoder
- Veterans Health Administration, Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center (RMRVAMC), Aurora, CO, USA,Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Aurora, CO, USA,Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Andrew J. Hoisington
- Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Aurora, CO, USA,Department of Systems Engineering, Air Force Institute of Technology, Wright-Patterson AFB, OH, USA
| | - Lisa A. Brenner
- Veterans Health Administration, Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center (RMRVAMC), Aurora, CO, USA,Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Aurora, CO, USA,Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Departments of Psychiatry & Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Erika Saunders
- Department of Psychiatry, Penn State University, Hershey, PA, USA
| | - John W. Stiller
- Mood and Anxiety Program, University of Maryland School of Medicine, Baltimore, MD, USA,Saint Elizabeths Hospital, DC Department of Behavioral Health, Washington, DC, USA
| | - Kathleen A. Ryan
- Program for Personalized and Genomic Medicine, Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland, School of Medicine, Baltimore, MD, USA,Geriatrics Research and Education Clinical Center, Baltimore, MD, USA,Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Kelly J. Rohan
- Department of Psychological Science, University of Vermont, Burlington, VT, USA
| | - Braxton D. Mitchell
- Program for Personalized and Genomic Medicine, Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland, School of Medicine, Baltimore, MD, USA,Geriatrics Research and Education Clinical Center, Baltimore, MD, USA,Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Teodor T. Postolache
- Mood and Anxiety Program, University of Maryland School of Medicine, Baltimore, MD, USA,Saint Elizabeths Hospital, DC Department of Behavioral Health, Washington, DC, USA,Veterans Health Administration, Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center (RMRVAMC), Aurora, CO, USA,Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| |
Collapse
|
3
|
Akram F, Jennings TB, Stiller JW, Lowry CA, Postolache TT. Mood Worsening on Days with High Pollen Counts is associated with a Summer Pattern of Seasonality. Pteridines 2019; 30:133-141. [PMID: 31631951 PMCID: PMC6800045 DOI: 10.1515/pteridines-2019-0016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Background: Summer/spring-type seasonal affective disorder (S-SAD) is the less common subtype of seasonal affective disorder and evidence regarding potential triggers of S-SAD is scarce. Recent reports support association of airborne-pollen with seasonal exacerbation of depression (mood seasonality) and timing of suicidal behavior. Therefore, we hypothesized that Old Order Amish (OOA) with summer/spring pattern of seasonality (abbreviated as summer pattern) and S-SAD will have significant mood worsening on high pollen days. Methods: A seasonal pattern of mood worsening and SAD parameters were estimated using Seasonal Pattern Assessment Questionnaire (SPAQ). Age- and gender-adjusted ANCOVAs and post hoc analyses were conducted to compare mood worsening on days with high pollen counts between summer-pattern vs no-summer-pattern of mood worsening, S-SAD vs no-S-SAD, winter-pattern vs no-winter-pattern of mood worsening, and W-SAD vs no-W-SAD groups. Results: The prevalence of S-SAD was 0.4%, while 4.5% of individuals had a summer pattern of mood seasonality. A statistically significant difference for mood worsening on high pollen days was observed between summer-pattern vs no-summer-pattern of mood worsening (p = 0.006). The significant association between S-SAD vs no-SAD groups (p = 0.032) for mood worsening on high pollen days did not withstand Bonferroni adjustment for multiple comparisons. No significant association was found for winter-pattern vs no-winter-pattern of mood worsening (p = 0.61) and for W-SAD vs no-W-SAD (p = 0.19) groups. Conclusion: Our results are consistent with previous studies implicating links between aeroallergen exposure and summer pattern of seasonality, but not the winter pattern of seasonality.
Collapse
Affiliation(s)
- Faisal Akram
- Mood and Anxiety Program, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Tyler B Jennings
- Mood and Anxiety Program, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - John W Stiller
- Mood and Anxiety Program, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Christopher A Lowry
- Department of Integrative Physiology, Center for Neuroscience, and Center for Microbial Exploration, University of Colorado Boulder, Boulder, CO 80309, USA; Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; Veterans Health Administration, Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center (RMRVAMC), Aurora, CO, 80045, USA; Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Aurora, CO 80045, USA
| | - Teodor T Postolache
- Mood and Anxiety Program, University of Maryland School of Medicine, Baltimore, MD, 21201, USA; Saint Elizabeths Hospital, Psychiatry Residency Training Program, Washington, DC, 20032, USA; Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; Veterans Health Administration, Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center (RMRVAMC), Aurora, CO, 80045, USA; Amish Research Clinic of the University of Maryland, Lancaster, PA, 17602, USA
| |
Collapse
|
4
|
Byrne EM, Raheja U, Stephens SH, Heath AC, Madden PAF, Vaswani D, Nijjar GV, Ryan KA, Youssufi H, Gehrman PR, Shuldiner AR, Martin NG, Montgomery GW, Wray NR, Nelson EC, Mitchell BD, Postolache TT. Seasonality shows evidence for polygenic architecture and genetic correlation with schizophrenia and bipolar disorder. J Clin Psychiatry 2015; 76:128-34. [PMID: 25562672 PMCID: PMC4527536 DOI: 10.4088/jcp.14m08981] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2014] [Accepted: 08/29/2014] [Indexed: 01/17/2023]
Abstract
OBJECTIVE To test common genetic variants for association with seasonality (seasonal changes in mood and behavior) and to investigate whether there are shared genetic risk factors between psychiatric disorders and seasonality. METHOD Genome-wide association studies (GWASs) were conducted in Australian (between 1988 and 1990 and between 2010 and 2013) and Amish (between May 2010 and December 2011) samples in whom the Seasonal Pattern Assessment Questionnaire (SPAQ) had been administered, and the results were meta-analyzed in a total sample of 4,156 individuals. Genetic risk scores based on results from prior large GWAS studies of bipolar disorder, major depressive disorder (MDD), and schizophrenia were calculated to test for overlap in risk between psychiatric disorders and seasonality. RESULTS The most significant association was with rs11825064 (P = 1.7 × 10⁻⁶, β = 0.64, standard error = 0.13), an intergenic single nucleotide polymorphism (SNP) found on chromosome 11. The evidence for overlap in risk factors was strongest for schizophrenia and seasonality, with the schizophrenia genetic profile scores explaining 3% of the variance in log-transformed global seasonality scores. Bipolar disorder genetic profile scores were also associated with seasonality, although at much weaker levels (minimum P value = 3.4 × 10⁻³), and no evidence for overlap in risk was detected between MDD and seasonality. CONCLUSIONS Common SNPs of large effect most likely do not exist for seasonality in the populations examined. As expected, there were overlapping genetic risk factors for bipolar disorder (but not MDD) with seasonality. Unexpectedly, the risk for schizophrenia and seasonality had the largest overlap, an unprecedented finding that requires replication in other populations and has potential clinical implications considering overlapping cognitive deficits in seasonal affective disorders and schizophrenia.
Collapse
Affiliation(s)
- Enda M Byrne
- The University of Queensland, Queensland Brain Institute, Upland Rd, St Lucia, QLD 4072, Brisbane, Australia
| | - Uttam Raheja
- Mood and Anxiety Program, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA,Saint Elizabeths Hospital, Psychiatry Residency Training Program, Washington, DC, USA
| | - Sarah H. Stephens
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Andrew C Heath
- Department of Psychiatry, Washington University, St.Louis, MO, USA
| | - Pamela AF Madden
- Department of Psychiatry, Washington University, St.Louis, MO, USA
| | | | - Dipika Vaswani
- Mood and Anxiety Program, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Gagan V. Nijjar
- Mood and Anxiety Program, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA,Department of Psychiatry, Kaiser Permanente, Santa Rosa CA
| | - Kathleen A. Ryan
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Hassaan Youssufi
- Mood and Anxiety Program, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Philip R Gehrman
- Behavioral Sleep Medicine Program, Department of Psychiatry & Penn Sleep Center, University of Pennsylvania, Philadelphia, USA
| | - Alan R Shuldiner
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA,Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, Baltimore, MD, USA
| | - Nicholas G Martin
- Queensland Institute of Medical Research, 300 Herston Road, Herston, QLD 4029
| | - Grant W Montgomery
- Queensland Institute of Medical Research, 300 Herston Road, Herston, QLD 4029
| | - Naomi R Wray
- The University of Queensland, Queensland Brain Institute, St. Lucia, QLD 4072, Australia
| | - Elliot C Nelson
- Department of Psychiatry, Washington University, St.Louis, MO, USA
| | - Braxton D Mitchell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA,Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, Baltimore, MD, USA
| | - Teodor T Postolache
- Mood and Anxiety Program, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA,Saint Elizabeths Hospital, Psychiatry Residency Training Program, Washington, DC, USA,Division of Child and Adolescent Psychiatry & University of Maryland Child and Adolescent Mental Health Innovations Center, University of Maryland School of Medicine, Baltimore, MD, USA,National Center for the Treatment of Phobias, Anxiety and Depression, Washington, DC, USA
| |
Collapse
|
5
|
Goodarzi MO, Langefeld CD, Xiang AH, Chen YDI, Guo X, Hanley AJG, Raffel LJ, Kandeel F, Buchanan TA, Norris JM, Fingerlin TE, Lorenzo C, Rewers MJ, Haffner SM, Bowden DW, Rich SS, Bergman RN, Rotter JI, Watanabe RM, Wagenknecht LE. Insulin sensitivity and insulin clearance are heritable and have strong genetic correlation in Mexican Americans. Obesity (Silver Spring) 2014; 22:1157-64. [PMID: 24124113 PMCID: PMC3968231 DOI: 10.1002/oby.20639] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2013] [Revised: 08/29/2013] [Accepted: 10/02/2013] [Indexed: 11/08/2022]
Abstract
OBJECTIVE The GUARDIAN (Genetics UndeRlying DIAbetes in HispaNics) consortium is described, along with heritability estimates and genetic and environmental correlations of insulin sensitivity and metabolic clearance rate of insulin (MCRI). METHODS GUARDIAN is comprised of seven cohorts, consisting of 4,336 Mexican-American individuals in 1,346 pedigrees. Insulin sensitivity (SI ), MCRI, and acute insulin response (AIRg) were measured by frequently sampled intravenous glucose tolerance test in four cohorts. Insulin sensitivity (M, M/I) and MCRI were measured by hyperinsulinemic-euglycemic clamp in three cohorts. Heritability and genetic and environmental correlations were estimated within the family cohorts (totaling 3,925 individuals) using variance components. RESULTS Across studies, age, and gender-adjusted heritability of insulin sensitivity (SI , M, M/I) ranged from 0.23 to 0.48 and of MCRI from 0.35 to 0.73. The ranges for the genetic correlations were 0.91 to 0.93 between SI and MCRI; and -0.57 to -0.59 for AIRg and MCRI (all P < 0.0001). The ranges for the environmental correlations were 0.54 to 0.74 for SI and MCRI (all P < 0.0001); and -0.16 to -0.36 for AIRg and MCRI (P < 0.0001-0.06). CONCLUSIONS These data support a strong familial basis for insulin sensitivity and MCRI in Mexican Americans. The strong genetic correlations between MCRI and SI suggest common genetic determinants.
Collapse
Affiliation(s)
- Mark O. Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
- the Medical Genetics Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Carl D. Langefeld
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Anny H. Xiang
- Department of Research and Evaluation, Kaiser Permanente Southern California Medical Group, Pasadena, California
| | - Yii-Der I. Chen
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Anthony J. G. Hanley
- Departments of Nutritional Sciences and Medicine and Dalla Lana School of Public Health, University of Toronto, Ontario, Canada
| | - Leslie J. Raffel
- the Medical Genetics Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Fouad Kandeel
- Department of Diabetes, Endocrinology and Metabolism, City of Hope, Duarte, California
| | - Thomas A. Buchanan
- Department of Medicine, University of Southern California Keck School of Medicine, Los Angeles, California
- Department of Physiology and Biophysics, University of Southern California Keck School of Medicine, Los Angeles, California
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado
| | - Tasha E. Fingerlin
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado
| | - Carlos Lorenzo
- Division of Clinical Epidemiology, University of Texas Health Sciences Center, San Antonio, Texas
| | - Marian J. Rewers
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado
| | | | - Donald W. Bowden
- Department of Biochemistry, Centers for Diabetes Research and Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia
| | - Richard N. Bergman
- Diabetes and Obesity Research Institute, Burns and Allen Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Richard M. Watanabe
- Department of Physiology and Biophysics, University of Southern California Keck School of Medicine, Los Angeles, California
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California
| | - Lynne E. Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| |
Collapse
|
6
|
Raheja UK, Stephens SH, Mitchell BD, Rohan KJ, Vaswani D, Balis TG, Nijjar GV, Sleemi A, Pollin TI, Ryan K, Reeves GM, Weitzel N, Morrissey M, Yousufi H, Langenberg P, Shuldiner AR, Postolache TT. Seasonality of mood and behavior in the Old Order Amish. J Affect Disord 2013; 147:112-7. [PMID: 23164460 PMCID: PMC3606685 DOI: 10.1016/j.jad.2012.10.019] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2012] [Accepted: 10/23/2012] [Indexed: 11/18/2022]
Abstract
BACKGROUND/OBJECTIVE We examined seasonality and winter seasonal affective disorder (SAD) in the Old Order Amish of Lancaster County, Pennsylvania, a unique population that prohibits use of network electric light in their homes. METHODS We estimated SAD using the seasonal pattern assessment questionnaire (SPAQ) in 1306 Amish adults and compared the frequencies of SAD and total SAD (i.e., presence of either SAD or subsyndromal-SAD) between men and women, young and old, and awareness of (ever vs. never heard about) SAD. Heritability of global seasonality score (GSS) was estimated using the maximum likelihood method, including a household effect to capture shared environmental effects. RESULTS The mean (±SD) GSS was 4.36 (±3.38). Prevalence was 0.84% (95% CI: 0.36-1.58) for SAD and 2.59% (95% CI: 1.69-3.73) for total SAD. Heritability of GSS was 0.14±0.06 (SE) (p=0.002) after adjusting for age, gender, and household effects. LIMITATIONS Limitations include likely overestimation of the rates of SAD by SPAQ, possible selection bias and recall bias, and limited generalizability of the study. CONCLUSIONS In the Amish, GSS and SAD prevalence were lower than observed in earlier SPAQ-based studies in other predominantly Caucasian populations. Low heritability of SAD suggests dominant environmental effects. The effects of awareness, age and gender on SAD risk were similar as in previous studies. Identifying factors of resilience to SAD in the face of seasonal changes in the Amish could suggest novel preventative and therapeutic approaches to reduce the impact of SAD in the general population.
Collapse
Affiliation(s)
- Uttam K Raheja
- Mood and Anxiety Program, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
7
|
Klimentidis YC, Divers J, Casazza K, Beasley TM, Allison DB, Fernandez JR. Ancestry-informative markers on chromosomes 2, 8 and 15 are associated with insulin-related traits in a racially diverse sample of children. Hum Genomics 2011; 5:79-89. [PMID: 21296741 PMCID: PMC3146800 DOI: 10.1186/1479-7364-5-2-79] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Type 2 diabetes represents an increasing health burden. Its prevalence is rising among younger age groups and differs among racial/ethnic groups. Little is known about its genetic basis, including whether there is a genetic basis for racial/ethnic disparities. We examined a multi-ethnic sample of 253 healthy children to evaluate associations between insulin-related phenotypes and 142 ancestry-informative markers (AIMs), while adjusting for sex, age, Tanner stage, genetic admixture, total body fat, height and socio-economic status. We also evaluated the effect of measurement errors in the estimation of the individual ancestry proportions on the regression results. We found that European genetic admixture is positively associated with insulin sensitivity (S I ), and negatively associated with the acute insulin response to glucose, fasting insulin levels and the homeostasis model assessment of insulin resistance. Our analysis revealed associations between individual AIMs on chromosomes 2, 8 and 15 and these phenotypes. Most notably, marker rs3287 at chromosome 2p21 was found to be associated with S I ( p = 5.8 × 10(-5)). This marker may be in admixture linkage disequilibrium with nearby loci ( THADA and BCL11A ) that previously have been reported to be associated with diabetes and diabetes-related phenotypes in several genome-wide association and linkage studies. Our results provide further evidence that variation in the 2p21 region containing THADA and BCL11A is associated with type 2 diabetes. Importantly, we have implicated this region in the early development of diabetes-related phenotypes, and in the genetic aetiology of population differences in these phenotypes.
Collapse
Affiliation(s)
- Yann C Klimentidis
- Section on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
| | | | | | | | | | | |
Collapse
|
8
|
Simonis-Bik AMC, Boomsma DI, Dekker JM, Diamant M, de Geus EJC, 't Hart LM, Heine RJ, Kramer MHH, Maassen JA, Mari A, Tura A, Willemsen G, Eekhoff EMW. The heritability of beta cell function parameters in a mixed meal test design. Diabetologia 2011; 54:1043-51. [PMID: 21311857 PMCID: PMC3071945 DOI: 10.1007/s00125-011-2060-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2010] [Accepted: 01/04/2011] [Indexed: 01/26/2023]
Abstract
AIMS/HYPOTHESIS We estimated the heritability of individual differences in beta cell function after a mixed meal test designed to assess a wide range of classical and model-derived beta cell function parameters. METHODS A total of 183 healthy participants (77 men), recruited from the Netherlands Twin Register, took part in a 4 h protocol, which included a mixed meal test. Participants were Dutch twin pairs and their siblings, aged 20 to 49 years. All members within a family were of the same sex. Insulin sensitivity, insulinogenic index, insulin response and postprandial glycaemia were assessed, as well as model-derived parameters of beta cell function, in particular beta cell glucose sensitivity and insulin secretion rates. Genetic modelling provided the heritability of all traits. Multivariate genetic analyses were performed to test for overlap in the genetic factors influencing beta cell function, waist circumference and insulin sensitivity. RESULTS Significant heritabilities were found for insulinogenic index (63%), beta cell glucose sensitivity (50%), insulin secretion during the first 2 h postprandial (42-47%) and postprandial glycaemia (43-52%). Genetic factors influencing beta cell glucose sensitivity and insulin secretion during the first 30 postprandial min showed only negligible overlap with the genetic factors that influence waist circumference and insulin sensitivity. CONCLUSIONS/INTERPRETATION The highest heritability for postprandial beta cell function was found for the insulinogenic index, but the most specific indices of heritability of beta cell function appeared to be beta cell glucose sensitivity and the insulin secretion rate during the first 30 min after a mixed meal.
Collapse
Affiliation(s)
- A M C Simonis-Bik
- Diabetes Center, VU University Medical Center, ZH 4A62, PO Box 7057, 1007 MB, Amsterdam, the Netherlands.
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
9
|
Henneman P, Aulchenko YS, Frants RR, Zorkoltseva IV, Zillikens MC, Frolich M, Oostra BA, van Dijk KW, van Duijn CM. Genetic architecture of plasma adiponectin overlaps with the genetics of metabolic syndrome-related traits. Diabetes Care 2010; 33:908-13. [PMID: 20067957 PMCID: PMC2845050 DOI: 10.2337/dc09-1385] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Adiponectin, a hormone secreted by adipose tissue, is of particular interest in metabolic syndrome, because it is inversely correlated with obesity and insulin sensitivity. However, it is not known to what extent the genetics of plasma adiponectin and the genetics of obesity and insulin sensitivity are interrelated. We aimed to evaluate the heritability of plasma adiponectin and its genetic correlation with the metabolic syndrome and metabolic syndrome-related traits and the association between these traits and 10 ADIPOQ single nucleotide polymorphisms (SNPs). RESEARCH DESIGN AND METHODS We made use of a family-based population, the Erasmus Rucphen Family study (1,258 women and 967 men). Heritability analysis was performed using a polygenic model. Genetic correlations were estimated using bivariate heritability analyses. Genetic association analysis was performed using a mixed model. RESULTS Plasma adiponectin showed a heritability of 55.1%. Genetic correlations between plasma adiponectin HDL cholesterol and plasma insulin ranged from 15 to 24% but were not significant for fasting glucose, triglycerides, blood pressure, homeostasis model assessment of insulin resistance (HOMA-IR), and C-reactive protein. A significant association with plasma adiponectin was found for ADIPOQ variants rs17300539 and rs182052. A nominally significant association was found with plasma insulin and HOMA-IR and ADIPOQ variant rs17300539 after adjustment for plasma adiponectin. CONCLUSIONS The significant genetic correlation between plasma adiponectin and HDL cholesterol and plasma insulin should be taken into account in the interpretation of genome-wide association studies. Association of ADIPOQ SNPs with plasma adiponectin was replicated, and we showed association between one ADIPOQ SNP and plasma insulin and HOMA-IR.
Collapse
Affiliation(s)
- Peter Henneman
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
| | | | | | | | | | | | | | | | | |
Collapse
|
10
|
Prudente S, Morini E, Trischitta V. Insulin signaling regulating genes: effect on T2DM and cardiovascular risk. Nat Rev Endocrinol 2009; 5:682-93. [PMID: 19924153 DOI: 10.1038/nrendo.2009.215] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Type 2 diabetes mellitus (T2DM) is a complex disorder that has a heterogeneous genetic and environmental background. In this Review, we discuss the role of relatively infrequent polymorphisms of genes that regulate insulin signaling (including the K121Q polymorphism of ENPP1, the G972R polymorphism of IRS1 and the Q84R polymorphism of TRIB3) in T2DM and other conditions related to insulin resistance. The biological relevance of these three polymorphisms has been very thoroughly characterized both in vitro and in vivo and the available data indicate that they all affect insulin signaling and action as well as insulin secretion. They also affect insulin-mediated regulation of endothelial cell function. In addition, several reports indicate that the effects of all three polymorphisms on the risk of T2DM and cardiovascular diseases related to insulin resistance depend on the clinical features of the individual, including their body weight and age at disease onset. Thus, these polymorphisms might be used to demonstrate how difficult it is to ascertain the contribution of relatively infrequent genetic variants with heterogeneous effects on disease susceptibility. Unraveling the role of such variants might be facilitated by improving disease definition and focusing on specific subsets of patients.
Collapse
Affiliation(s)
- Sabrina Prudente
- IRCCS Casa Sollievo della Sofferenza, Mendel Institute, Rome, Italy
| | | | | |
Collapse
|
11
|
Naj AC, Kao WHL, O’Connell JR, Mitchell BD, Silver KD. Sequence variation in IGF1R is associated with differences in insulin levels in nondiabetic Old Order Amish. Diabetes Metab Res Rev 2009; 25:773-9. [PMID: 19877134 PMCID: PMC2837841 DOI: 10.1002/dmrr.1044] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
BACKGROUND Insulin growth factor-1 receptor (IGF1R) encodes the insulin-like growth factor 1 receptor, a transmembrane tyrosine kinase receptor located on chromosome 15q26.3, in a region of linkage (LOD = 2.53, P = 0.00032) to Insulin30 on an OGTT in the Old Order Amish. Mouse models with beta-cell-specific deficiency of IGF1R demonstrate defects in glucose-stimulated insulin secretion. METHODS To test the hypothesis that genetic variation in IGF1R is associated with impaired insulin secretion, we genotyped 54 SNPs in 778 nondiabetic subjects from the AFDS who had undergone OGTTs and tested them for association with ln Insulin30 and ISI. RESULTS No individual SNPs were significantly associated with ln Insulin30 or ISI using a multiple hypothesis testing adjusted P < 0.002. Tests of association of 4-SNP haplotypes constructed by a windowing approach revealed an association of the CTTG-variant of a 4-SNP haplotype found in intron 20 (rs1784195-rs2715439-rs8034284-rs12440962) with lower ISI levels (beta = 0.18, SE(beta) = 0.05, P = 0.001). CONCLUSIONS Sequence variation in IGF1R may influence insulin secretory function, although further studies in other populations will be needed to confirm these findings.
Collapse
Affiliation(s)
- Adam C. Naj
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Welch Center for Epidemiology, Prevention, and Clinical Research, Baltimore, MD
| | - Wen-Hong L. Kao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Welch Center for Epidemiology, Prevention, and Clinical Research, Baltimore, MD
| | - Jeffrey R. O’Connell
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Braxton D. Mitchell
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Kristi D. Silver
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| |
Collapse
|
12
|
Dotson CD, Shaw HL, Mitchell BD, Munger SD, Steinle NI. Variation in the gene TAS2R38 is associated with the eating behavior disinhibition in Old Order Amish women. Appetite 2009; 54:93-9. [PMID: 19782709 DOI: 10.1016/j.appet.2009.09.011] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2009] [Revised: 08/25/2009] [Accepted: 09/18/2009] [Indexed: 12/21/2022]
Abstract
Insensitivity to the bitter-tasting compound 6-n-propylthiouracil (PROP) has been proposed as a marker for individual differences in taste perception that influence food preference and intake. The principal genetic determinants of phenotypic variation in PROP taste sensitivity are alleles of the TAS2R38 gene, which encodes a chemosensory receptor sensitive to thiourea compounds including PROP and phenylthiocarbamide. Members of the TAS2R family are expressed in the gustatory system, where they function as bitter taste receptors, and throughout the gut, where their physiological roles in prandial, gut-derived hormone release are beginning to be elucidated. To better understand the relationship between TAS2R function and ingestive behaviors, we asked if TAS2R38 variants are associated with one or more of three eating behaviors: restraint, disinhibition, and hunger. We genotyped a single nucleotide polymorphism (SNP) located within the TAS2R38 gene, rs1726866 (T785C, Val262Ala) in 729 nondiabetic individuals (381 females, 348 males) within the Amish Family Diabetes Study. Eating behaviors were assessed using the Three-Factor Eating Questionnaire. An association analysis between rs1726866 and these three traits revealed a significant association of the PROP-insensitive "T" allele with increased disinhibition (p=0.03). Because eating behaviors differ substantially between males and females, we subsequently performed sex-stratified analyses, which revealed a strong association in females (p=0.0002) but not in males. Analyses with other SNPs in close proximity to rs1726866 suggest that this locus is principally responsible for the association. Therefore, our results indicate that a polymorphism in TAS2R38 is associated with differences in ingestive behavior.
Collapse
Affiliation(s)
- Cedrick D Dotson
- Department of Anatomy & Neurobiology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | | | | | | | | |
Collapse
|
13
|
Lillioja S, Wilton A. Agreement among type 2 diabetes linkage studies but a poor correlation with results from genome-wide association studies. Diabetologia 2009; 52:1061-74. [PMID: 19296077 DOI: 10.1007/s00125-009-1324-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2008] [Accepted: 02/13/2009] [Indexed: 12/22/2022]
Abstract
AIMS/HYPOTHESIS Little of the genetic basis for type 2 diabetes has been explained, despite numerous genetic linkage studies and the discovery of multiple genes in genome-wide association (GWA) studies. To begin to resolve the genetic component of this disease, we searched for sites at which genetic results had been corroborated in different studies, in the expectation that replication among studies should direct us to the genomic locations of causative genes with more confidence than the results of individual studies. METHODS We have mapped the physical location of results from 83 linkage reports (for type 2 diabetes and diabetes precursor quantitative traits [QTs, e.g. plasma insulin levels]) and recent large GWA reports (for type 2 diabetes) onto the same human genome sequence to identify replicated results in diabetes genetic 'hot spots'. RESULTS Genetic linkage has been found at least ten times at 18 different locations, and at least five times in 56 locations. All replication clusters contained study populations from more than one ethnic background and most contained results for both diabetes and QTs. There is no close relationship between the GWA results and linkage clusters, and the nine best replication clusters have no nearby GWA result. CONCLUSIONS/INTERPRETATION Many of the genes for type 2 diabetes remain unidentified. This analysis identifies the broad location of yet to be identified genes on 6q, 1q, 18p, 2q, 20q, 17pq, 8p, 19q and 9q. The discrepancy between the linkage and GWA studies may be explained by the presence of multiple, uncommon, mildly deleterious polymorphisms scattered throughout the regulatory and coding regions of genes for type 2 diabetes.
Collapse
Affiliation(s)
- S Lillioja
- Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia.
| | | |
Collapse
|
14
|
Kristiansson K, Naukkarinen J, Peltonen L. Isolated populations and complex disease gene identification. Genome Biol 2008; 9:109. [PMID: 18771588 PMCID: PMC2575505 DOI: 10.1186/gb-2008-9-8-109] [Citation(s) in RCA: 107] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Isolated populations can be useful for the identification of genes underlying common complex diseases. The utility of genetically isolated populations (population isolates) in the mapping and identification of genes is not only limited to the study of rare diseases; isolated populations also provide a useful resource for studies aimed at improved understanding of the biology underlying common diseases and their component traits. Well characterized human populations provide excellent study samples for many different genetic investigations, ranging from genome-wide association studies to the characterization of interactions between genes and the environment.
Collapse
Affiliation(s)
- Kati Kristiansson
- National Public Health Institute and FIMM, Institute for Molecular Medicine Finland, Helsinki 00300, Finland
| | | | | |
Collapse
|