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

Citation
Smith, J. A., et al. “Gene-By-Psychosocial Factor Interactions Influence Diastolic Blood Pressure In European And African Ancestry Populations: Meta-Analysis Of Four Cohort Studies.”. International Journal Of Environmental Research And Public Health.
Center UCSD-UCLA
Author Jennifer A Smith, Wei Zhao, Kalyn Yasutake, Carmella August, Scott M Ratliff, Jessica D Faul, Eric Boerwinkle, Aravinda Chakravarti, Ana Diez Roux V, 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 Sun V, David R Weir, Belinda L Needham
Keywords blood pressure, chronic burden, depression, gene-by-environment interaction, Genetics, hypertension, non-burden test, psychosocial factors, socioeconomic status
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 genomic region ( = 0.0019). In African ancestry participants, depressive symptom score had a significant interaction with the genomic region ( = 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.

Year of Publication
2017
Journal
International journal of environmental research and public health
Volume
14
Issue
12
Date Published
12/2017
ISSN Number
1660-4601
DOI
10.3390/ijerph14121596
Alternate Journal
Int J Environ Res Public Health
PMID
29258278
PMCID
PMC5751013
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