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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
Journal article   Open access   Peer reviewed

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, …
International journal of environmental research and public health, v 14(12), p1596
18 Dec 2017
PMID: 29258278
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.3390/ijerph14121596View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

African Americans Blood Pressure - physiology Cohort Studies European Continental Ancestry Group Gene-Environment Interaction Humans Psychology Risk Factors Socioeconomic Factors United States
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.

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Collaboration types
Domestic collaboration
Web of Science research areas
Environmental Sciences
Public, Environmental & Occupational Health
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