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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

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 genetical...

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Detalles Bibliográficos
Autores principales: Smith, Jennifer A., Zhao, Wei, Yasutake, Kalyn, August, Carmella, Ratliff, Scott M., Faul, Jessica D., Boerwinkle, Eric, Chakravarti, Aravinda, Diez Roux, Ana V., Gao, Yan, Griswold, Michael E., Heiss, Gerardo, Kardia, Sharon L. R., Morrison, Alanna C., Musani, Solomon K., Mwasongwe, Stanford, North, Kari E., Rose, Kathryn M., Sims, Mario, Sun, Yan V., Weir, David R., Needham, Belinda L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751013/
https://www.ncbi.nlm.nih.gov/pubmed/29258278
http://dx.doi.org/10.3390/ijerph14121596
Descripción
Sumario: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.