Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies

Jennifer A. Smith, Wei Zhao, Kalyn Yasutake, Carmella August, Scott M. Ratliff, Jessica D. Faul, Eric Boerwinkle, Aravinda Chakravarti, Ana V. Diez Roux, Yan Gao, Michael E. Griswold, Gerardo Heiss, Sharon L. R. Kardia, Alanna C. Morrison, Solomon K. Musani, Stanford Mwasongwe, Kari E. North, Kathryn M. Rose, Mario Sims, Yan V. Sun, David R. Weir and Belinda L. Needham
Additional contact information
Jennifer A. Smith: Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
Wei Zhao: Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
Kalyn Yasutake: Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
Carmella August: Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
Scott M. Ratliff: Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
Jessica D. Faul: Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
Eric Boerwinkle: Department of Human Genetics and Institute of Molecular Medicine, University of Texas Health Science Center, Houston, TX 77030, USA
Aravinda Chakravarti: Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
Ana V. Diez Roux: Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA
Yan Gao: Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216, USA
Michael E. Griswold: Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216, USA
Gerardo Heiss: Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
Sharon L. R. Kardia: Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
Alanna C. Morrison: Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
Solomon K. Musani: Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
Stanford Mwasongwe: Jackson Heart Study, Jackson State University, Jackson, MS 39213, USA
Kari E. North: Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
Kathryn M. Rose: Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
Mario Sims: Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
Yan V. Sun: Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
David R. Weir: Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
Belinda L. Needham: Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA

IJERPH, 2017, vol. 14, issue 12, 1-18

Abstract: Inter-individual variability in blood pressure (BP) is influenced by both genetic and non-genetic factors including socioeconomic and psychosocial stressors. A deeper understanding of the gene-by-socioeconomic/psychosocial factor interactions on BP may help to identify individuals that are genetically susceptible to high BP in specific social contexts. In this study, we used a genomic region-based method for longitudinal analysis, Longitudinal Gene-Environment-Wide Interaction Studies (LGEWIS), to evaluate the effects of interactions between known socioeconomic/psychosocial and genetic risk factors on systolic and diastolic BP in four large epidemiologic cohorts of European and/or African ancestry. After correction for multiple testing, two interactions were significantly associated with diastolic BP. In European ancestry participants, outward/trait anger score had a significant interaction with the C10orf107 genomic region ( p = 0.0019). In African ancestry participants, depressive symptom score had a significant interaction with the HFE genomic region ( p = 0.0048). This study provides a foundation for using genomic region-based longitudinal analysis to identify subgroups of the population that may be at greater risk of elevated BP due to the combined influence of genetic and socioeconomic/psychosocial risk factors.

Keywords: blood pressure; hypertension; genetics; gene-by-environment interaction; non-burden test; socioeconomic status; psychosocial factors; depression; chronic burden (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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