A functional polymorphism in the 5HTR2C gene associated with stress responses also predicts incident cardiovascular events.
Date
2013
Editors
Journal Title
Journal ISSN
Volume Title
Repository Usage Stats
views
downloads
Citation Stats
Abstract
Previously we have shown that a functional nonsynonymous single nucleotide polymorphism (rs6318) of the 5HTR2C gene located on the X-chromosome is associated with hypothalamic-pituitary-adrenal axis response to a stress recall task, and with endophenotypes associated with cardiovascular disease (CVD). These findings suggest that individuals carrying the rs6318 Ser23 C allele will be at higher risk for CVD compared to Cys23 G allele carriers. The present study examined allelic variation in rs6318 as a predictor of coronary artery disease (CAD) severity and a composite endpoint of all-cause mortality or myocardial infarction (MI) among Caucasian participants consecutively recruited through the cardiac catheterization laboratory at Duke University Hospital (Durham, NC) as part of the CATHGEN biorepository. Study population consisted of 6,126 Caucasian participants (4,036 [65.9%] males and 2,090 [34.1%] females). A total of 1,769 events occurred (1,544 deaths and 225 MIs; median follow-up time = 5.3 years, interquartile range = 3.3-8.2). Unadjusted Cox time-to-event regression models showed, compared to Cys23 G carriers, males hemizygous for Ser23 C and females homozygous for Ser23C were at increased risk for the composite endpoint of all-cause death or MI: Hazard Ratio (HR) = 1.47, 95% confidence interval (CI) = 1.17, 1.84, p = .0008. Adjusting for age, rs6318 genotype was not related to body mass index, diabetes, hypertension, dyslipidemia, smoking history, number of diseased coronary arteries, or left ventricular ejection fraction in either males or females. After adjustment for these covariates the estimate for the two Ser23 C groups was modestly attenuated, but remained statistically significant: HR = 1.38, 95% CI = 1.10, 1.73, p = .005. These findings suggest that this functional polymorphism of the 5HTR2C gene is associated with increased risk for CVD mortality and morbidity, but this association is apparently not explained by the association of rs6318 with traditional risk factors or conventional markers of atherosclerotic disease.
Type
Department
Description
Provenance
Citation
Permalink
Published Version (Please cite this version)
Publication Info
Brummett, Beverly H, Michael A Babyak, Rong Jiang, Svati H Shah, Richard C Becker, Carol Haynes, Megan Chryst-Ladd, Damian M Craig, et al. (2013). A functional polymorphism in the 5HTR2C gene associated with stress responses also predicts incident cardiovascular events. PLoS One, 8(12). p. e82781. 10.1371/journal.pone.0082781 Retrieved from https://hdl.handle.net/10161/8293.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
Collections
Scholars@Duke
Beverly H. Brummett
In the early part of my career, my work generally focused on examining psychosocial determinants or correlates (e.g., emotion, personality, and socioeconomic status) of cardiovascular disease. However, in the past several years, my work has also expanded to include examining how stressful emotional responses, combined with proposed genetic markers, influence metabolic functioning, cognitive decline, functional capacity and quality of live in the elderly, depressive symptomology, and major depressive disorder. I also have an interest in statistical methodology.
Michael Alan Babyak
Since coming to Duke as an intern in 1994 I have collaborated as a biostatistician and co-investigator at Duke on numerous observational and experimental studies involving behavior, psychosocial factors, health, and disease. The substantive topics have ranged across questions concerning exercise and depression, hypertension, weight loss, the genetics of stress and heart disease, sickle cell disease, to name a few. I am particularly interested in the issue of improving reproducibility and transparency in data analysis.
Rong Jiang
Svati Hasmukh Shah
Richard Clinton Becker
Elizabeth Rebecca Hauser
The incorporation of personalized medicine to all areas of human health represents a turning point for human genetics studies, a point at which the discoveries made have real implications for clinical medicine. It is important for students to gain experience in how human genetics studies are conducted and how results of those studies may be used. As a statistical geneticist and biostatistician my research interests are focused on developing and applying statistical methods to search for genes causing common human diseases. My research programs combine development and application of statistical methods for genetic studies, with a particular emphasis on understanding the joint effects of genes and environment.
These studies I work on cover diverse areas in biomedicine but are always collaborative, with the goal of bringing robust data science and statistical methods to the project. Collaborative studies include genetic and ‘omics studies of cardiovascular disease, health effects of air pollution, genetic analysis of adherence to an exercise program, genetic analysis in evaluating colon cancer risk, genetic analysis of suicide, and systems biology analysis of Gulf War Illness.
Keywords: human genetics, genetic association, gene mapping, genetic epidemiology, statistical genetics, biostatistics, cardiovascular disease, computational biology, diabetes, aging, colon cancer, colon polyps, kidney disease, Gulf War Illness, exercise behavior, suicide
Ilene C. Siegler
My research efforts are in the area of developmental health psychology and organized around understanding the role of personality in health and disease in middle and later life.
My primary research activity is as Principal Investigator of the UNC Alumni Heart Study (UNCAHS) a prospective epidemiologic study of 5000 middle aged men and women and 1200 of their spouses that evaluates the role of personality on coronary heart disease and coronary heart disease risk, cancer, and normal aging.
As head of Cancer Prevention Research Unit , I study the role of psychological factors related to mammography behavior and estrogen replacement therapy is being studied in UNCAHS women.
REPRESENTATIVE PUBLICATIONS
Siegler, I.C., Zonderman, A.B., Barefoot, J.C., Williams, R.B., Jr., Costa, P.T., Jr., & McCrae, R. R. (1990). Predicting personality from college MMPI scores: Implications for follow-up studies in psychosomatic medicine. Psychosomatic Medicine, 52, 644-652.
Siegler, I.C., Peterson, B.L., Barefoot, J.C., & Williams, R.B. (1992). Hostility during late adolescence predicts coronary risk factors at midlife. American Journal of Epidemiology, 138(2), 146-154.
Siegler, I.C., Peterson, B.L., Barefoot, J.C., Harvin, S.H. Dahlstrom, W.G., Kaplan, B.H., Costa, P.T. Jr., & Williams, R.B. (1992). Using college alumni populations in epidemiologic research: The UNC Alumni Heart Study. Journal of Clinical Epidemiology, 45(11), 1243-1250.
Siegler, I.C., Dawson, D.V., & Welsh, K.A. (1994). Caregiver ratings of personality change in Alzheimer's disease patients: A replication. Psychology and Aging, 9, 464-466.
Siegler, I.C., Feaganes, J.R., & Rimer, B.K. (1995). Predictors of adoption of mammography in women under age 50. Health Psychology, 14, 274-278.
1/13/99
Cynthia Moreton Kuhn
This laboratory uses a multidisciplinary approach using both animal and model systems to study the biology of addiction and stress/depression. We are specifically interested in how adolescence and the hormonal changes of puberty and aging influence vulnerability to these conditions. Specific projects underway include: (1) the biology of sex differences in addictive drug action, (2) role of maturing dopamine systems in the onset of drug taking during adolescence, (3) the neurobiology of adolescent insensitivity to threat and its role in drug use.
Studies of sex differences focus on understanding estrogen and testosterone actions in the brain that are relevant to addiction, depression and stress-related behaviors. We are particularly interested in molecular targets of estrogen action including key proteins that regulate dopamine neurons and the stress peptide CRF. Current projects include the role of glucocorticoid and reproductive hormones in alcohol and opioid dependence in adolescence. Adolescent studies are exploring the impact of maturing dopamine systems as well as cortical inhibition of these systems on novelty-seeking/risk taking as predictors of substance abuse vulnerability as well as responses to addictive drugs.
In addition to these animal studies, we collaborate actively with clinicians in psychiatry who are studying addiction and stress-related illness in humans, and participate in development of drug-abuse education and general neuroscience education materials for students, parents and other members of the lay public.
Abanish Singh
With a unique skill set resulting from outstanding training, my sole aim was to help improve human health through cutting-edge translational research. Specifically, I have been interested in illuminating the mechanisms responsible for the causes and progression of the leading public health conditions, which may help with the development and enhancement of precision medicine. As part of this endeavor, I also became interested in studying the measurement of biobehavioral risk factors and environmental stressors and their interactions with genes that may influence cardiovascular disease (CVD) risk factors and endophenotypes, adversely affecting the CVD pathways.
I joined medical research with my early research training on computational biology, high-throughput genomics, next-gen DNA sequencing, genome-wide studies, and big data analytics, which resulted in some of prominent findings on human genome (PMID: 18048317, PMID: 20223737, PMID: 20598109, PMID: 21703177). These findings included a significant contribution to the scientific community’s understanding that I made during my postdoctoral fellowship with Dr. David Goldstein at Duke Center for Human Genome Variation that how well RNA-Seq can identify human coding variants just using a small fraction of genome (transcriptome) as compared to whole genome (PMID: 20598109). This work was important not only scientifically, but also in pragmatic terms, given the high cost of sequencing.
In relatively recent work I discovered a novel CVD risk gene EBF1, where a common genetic variant contributed to inter-individual differences in human central obesity, fasting blood glucose, diabetes, and CVD risk factors in the presence of chronic psychosocial stress (PMID: 25271088). This work demonstrated the genetic variant-specific significant path from chronic psychosocial stress to common carotid intimal–media thickness (CCIMT), a surrogate marker for atherosclerosis, via central obesity and fasting glucose. I also developed an algorithm to create a synthetic measure of stress using the proxy indicators of its components (PMID: 26202568). Other more recent work has elucidated the race, sex, and age related differences in the EBF1 gene-by-stress interaction (PMID: 33077726), which suggests the need for careful evaluation of environmental measures in different ethnicities in cross-ethnic gene-by-stress interaction studies.
More recently, I have expanded my research interest in studying the genetic architecture of Alzheimer’s disease (AD) and the role of psychosocial stress in modifying the effect of genetic variants on the disease risks.
Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.