Recent advances in genome sciences have resulted in a vast expansion of the resources and tools available to identify the major genetic determinants of complex traits including metabolic and cardiovascular disorders. However, dissecting the genetic basis of these traits requires not only technological advances, but access to well-characterized study populations, informatics infrastructure, appropriate, integrated statistical methodologies and expertise in the biology and epidemiology of these traits. We have designed Core B (the Genetics, Biostatistics and Bioinformatics Core) to support the three projects in the PPG through the following Specific Aims: 1.) Establish a clearinghouse of published single locus and GWAS results and open access genetic datasets in support of discovery of candidate genes and validation of specific hypotheses generated in our three projects;2.) Conduct analyses of open-access GWAS datasets to identify candidate genes to feed into our projects;3.) Coordinate analysis of candidate genes and provide genotyping and statistical analysis support as needed across participating projects including the following: selection of specific SNPs to genotype;facilitiating interactions with the Genotyping Core;providing expertise and facilitites for statistical analysis of not only genetic data, but complex psychosocial data, including the testing of the components of the theoretical model that guides this PPG;and finally, coordinating analyses and sharing of results across projects;and 4.) Identify and establish collaborations with additional study pouplations for further replication of our findings, obtain DNA/data and support genotyping and analysis of these projects as needed.

National Institute of Health (NIH)
Research Program Projects (P01)
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Special Emphasis Panel (ZHL1)
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Duke University
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Singh, Abanish; Babyak, Michael A; Nolan, Daniel K et al. (2015) Gene by stress genome-wide interaction analysis and path analysis identify EBF1 as a cardiovascular and metabolic risk gene. Eur J Hum Genet 23:854-62
Brummett, Beverly H; Babyak, Michael A; Kuhn, Cynthia M et al. (2014) A functional polymorphism in the HTR2C gene associated with stress responses: a validation study. Biol Psychol 103:317-21
Ogle, Christin M; Rubin, David C; Siegler, Ilene C (2014) Changes in neuroticism following trauma exposure. J Pers 82:93-102
Siegler, Ilene C; Brummett, Beverly H; Martin, Peter et al. (2013) Consistency and timing of marital transitions and survival during midlife: the role of personality and health risk behaviors. Ann Behav Med 45:338-47
Berger, Jeffrey S; Becker, Richard C; Kuhn, Cynthia et al. (2013) Hyperreactive platelet phenotypes: relationship to altered serotonin transporter number, transport kinetics and intrinsic response to adrenergic co-stimulation. Thromb Haemost 109:85-92
Jiang, Rong; Brummett, Beverly H; Babyak, Michael A et al. (2013) Brain-derived neurotrophic factor (BDNF) Val66Met and adulthood chronic stress interact to affect depressive symptoms. J Psychiatr Res 47:233-9
Jiang, Rong; Brummett, Beverly H; Hauser, Elizabeth R et al. (2013) Chronic family stress moderates the association between a TOMM40 variant and triglyceride levels in two independent Caucasian samples. Biol Psychol 93:184-9
Ogle, Christin M; Rubin, David C; Siegler, Ilene C (2013) The impact of the developmental timing of trauma exposure on PTSD symptoms and psychosocial functioning among older adults. Dev Psychol 49:2191-200
Brummett, Beverly H; Babyak, Michael A; Singh, Abanish et al. (2013) Socioeconomic indices as independent correlates of C-reactive protein in the National Longitudinal Study of Adolescent Health. Psychosom Med 75:882-93
Nolan, Daniel; Kraus, William E; Hauser, Elizabeth et al. (2013) Genome-wide linkage analysis of cardiovascular disease biomarkers in a large, multigenerational family. PLoS One 8:e71779

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