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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

Author

Listed:
  • Jennifer A. Smith

    (Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
    Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, 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)

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.

Suggested Citation

  • 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 & Gerar, 2017. "Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies," IJERPH, MDPI, vol. 14(12), pages 1-18, December.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:12:p:1596-:d:123401
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    References listed on IDEAS

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    1. James Y. Dai & Charles Kooperberg & Michael Leblanc & Ross L. Prentice, 2012. "Two-stage testing procedures with independent filtering for genome-wide gene-environment interaction," Biometrika, Biometrika Trust, vol. 99(4), pages 929-944.
    2. Teri A. Manolio & Francis S. Collins & Nancy J. Cox & David B. Goldstein & Lucia A. Hindorff & David J. Hunter & Mark I. McCarthy & Erin M. Ramos & Lon R. Cardon & Aravinda Chakravarti & Judy H. Cho &, 2009. "Finding the missing heritability of complex diseases," Nature, Nature, vol. 461(7265), pages 747-753, October.
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    1. Chien-Juan Chen & Ting-Yi Lin & Chao-Ling Wang & Chi-Kung Ho & Hung-Yi Chuang & Hsin-Su Yu, 2019. "Interactive Effects between Chronic Lead Exposure and the Homeostatic Iron Regulator Transport HFE Polymorphism on the Human Red Blood Cell Mean Corpuscular Volume (MCV)," IJERPH, MDPI, vol. 16(3), pages 1-9, January.

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