IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i10p1153-d113705.html
   My bibliography  Save this article

Interaction between Social/Psychosocial Factors and Genetic Variants on Body Mass Index: A Gene-Environment Interaction Analysis in a Longitudinal Setting

Author

Listed:
  • Wei Zhao

    (Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA)

  • Erin B. Ware

    (Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA)

  • Zihuai He

    (Department of Biostatistics, Columbia University, New York, NY 10032, USA)

  • Sharon L. R. Kardia

    (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)

  • 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)

Abstract

Obesity, which develops over time, is one of the leading causes of chronic diseases such as cardiovascular disease. However, hundreds of BMI (body mass index)-associated genetic loci identified through large-scale genome-wide association studies (GWAS) only explain about 2.7% of BMI variation. Most common human traits are believed to be influenced by both genetic and environmental factors. Past studies suggest a variety of environmental features that are associated with obesity, including socioeconomic status and psychosocial factors. This study combines both gene/regions and environmental factors to explore whether social/psychosocial factors (childhood and adult socioeconomic status, social support, anger, chronic burden, stressful life events, and depressive symptoms) modify the effect of sets of genetic variants on BMI in European American and African American participants in the Health and Retirement Study (HRS). In order to incorporate longitudinal phenotype data collected in the HRS and investigate entire sets of single nucleotide polymorphisms (SNPs) within gene/region simultaneously, we applied a novel set-based test for gene-environment interaction in longitudinal studies (LGEWIS). Childhood socioeconomic status (parental education) was found to modify the genetic effect in the gene/region around SNP rs9540493 on BMI in European Americans in the HRS. The most significant SNP (rs9540488) by childhood socioeconomic status interaction within the rs9540493 gene/region was suggestively replicated in the Multi-Ethnic Study of Atherosclerosis (MESA) ( p = 0.07).

Suggested Citation

  • Wei Zhao & Erin B. Ware & Zihuai He & Sharon L. R. Kardia & Jessica D. Faul & Jennifer A. Smith, 2017. "Interaction between Social/Psychosocial Factors and Genetic Variants on Body Mass Index: A Gene-Environment Interaction Analysis in a Longitudinal Setting," IJERPH, MDPI, vol. 14(10), pages 1-17, September.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:10:p:1153-:d:113705
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/10/1153/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/14/10/1153/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David E. Reich & Michele Cargill & Stacey Bolk & James Ireland & Pardis C. Sabeti & Daniel J. Richter & Thomas Lavery & Rose Kouyoumjian & Shelli F. Farhadian & Ryk Ward & Eric S. Lander, 2001. "Linkage disequilibrium in the human genome," Nature, Nature, vol. 411(6834), pages 199-204, May.
    2. Adam E. Locke & Bratati Kahali & Sonja I. Berndt & Anne E. Justice & Tune H. Pers & Felix R. Day & Corey Powell & Sailaja Vedantam & Martin L. Buchkovich & Jian Yang & Damien C. Croteau-Chonka & Tonu , 2015. "Genetic studies of body mass index yield new insights for obesity biology," Nature, Nature, vol. 518(7538), pages 197-206, February.
    3. Arend Voorman & Thomas Lumley & Barbara McKnight & Kenneth Rice, 2011. "Behavior of QQ-Plots and Genomic Control in Studies of Gene-Environment Interaction," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-7, May.
    4. Leonard I. Pearlin, 2010. "The Life Course and the Stress Process: Some Conceptual Comparisons," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 65(2), pages 207-215.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jacob Joseph & Chang Liu & Qin Hui & Krishna Aragam & Zeyuan Wang & Brian Charest & Jennifer E. Huffman & Jacob M. Keaton & Todd L. Edwards & Serkalem Demissie & Luc Djousse & Juan P. Casas & J. Micha, 2022. "Genetic architecture of heart failure with preserved versus reduced ejection fraction," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    2. Vikesh Amin & Jere R. Behrman & Jason M. Fletcher & Carlos A. Flores & Alfonso Flores‐Lagunes & Hans‐Peter Kohler, 2021. "Genetic risks, adolescent health, and schooling attainment," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2905-2920, November.
    3. Cyrille Kossigan Kokou-Kpolou & Daniel Derivois & Cécile Rousseau & Oléa Balayulu-Makila & Saba Hajizadeh & Jean-Pierre Birangui & Mireille Guerrier & Jacqueline Bukaka & Jude Mary Cénat, 2022. "Enacted Ebola Stigma and Health-related Quality of Life in Post Ebola Epidemic: A Psychosocial Mediation Framework Through Social Support, Self-Efficacy, and Coping," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(5), pages 2809-2832, October.
    4. Lili Liu & Atlas Khan & Elena Sanchez-Rodriguez & Francesca Zanoni & Yifu Li & Nicholas Steers & Olivia Balderes & Junying Zhang & Priya Krithivasan & Robert A. LeDesma & Clara Fischman & Scott J. Heb, 2022. "Genetic regulation of serum IgA levels and susceptibility to common immune, infectious, kidney, and cardio-metabolic traits," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    5. Shaan Khurshid & Julieta Lazarte & James P. Pirruccello & Lu-Chen Weng & Seung Hoan Choi & Amelia W. Hall & Xin Wang & Samuel F. Friedman & Victor Nauffal & Kiran J. Biddinger & Krishna G. Aragam & Pu, 2023. "Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    6. Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Kevin Thom, 2022. "Economics and Econometrics of Gene-Environment Interplay," Bristol Economics Discussion Papers 22/759, School of Economics, University of Bristol, UK.
    7. Yin LiuPhD & Jooyoung KongPhD & Lauren R BangerterPhD & Steven H ZaritPhD & David M AlmeidaPhD, 2018. "Early Parental Abuse and Daily Assistance to Aging Parents With Disability: Associations With the Middle-Aged Adults’ Daily Well-being," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(5), pages 59-68.
    8. Dixon, Padraig & Hollingworth, William & Harrison, Sean & Davies, Neil M. & Davey Smith, George, 2020. "Mendelian Randomization analysis of the causal effect of adiposity on hospital costs," Journal of Health Economics, Elsevier, vol. 70(C).
    9. Cecilia Pessoa Rodrigues & Aindrila Chatterjee & Meike Wiese & Thomas Stehle & Witold Szymanski & Maria Shvedunova & Asifa Akhtar, 2021. "Histone H4 lysine 16 acetylation controls central carbon metabolism and diet-induced obesity in mice," Nature Communications, Nature, vol. 12(1), pages 1-21, December.
    10. Jordi Manuello & Joosung Min & Paul McCarthy & Fidel Alfaro-Almagro & Soojin Lee & Stephen Smith & Lloyd T. Elliott & Anderson M. Winkler & Gwenaëlle Douaud, 2024. "The effects of genetic and modifiable risk factors on brain regions vulnerable to ageing and disease," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    11. Eric T Klopack & Jessica Kelley, 2023. "Chronic Stress and Latent Virus Reactivation: Effects on Immune Aging, Chronic Disease Morbidity, and Mortality," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 78(10), pages 1707-1716.
    12. Yi Huang & Anyongqi Wang & Wenjiang Zhou & Baoguo Li & Linshan Zhang & Agata M. Rudolf & Zengguang Jin & Catherine Hambly & Guanlin Wang & John R. Speakman, 2024. "Maternal dietary fat during lactation shapes single nucleus transcriptomic profile of postnatal offspring hypothalamus in a sexually dimorphic manner in mice," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    13. Zihuai He & Min Zhang & Seunggeun Lee & Jennifer A. Smith & Sharon L. R. Kardia & V. Diez Roux & Bhramar Mukherjee, 2017. "Set-Based Tests for the Gene–Environment Interaction in Longitudinal Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 966-978, July.
    14. Chung-Feng Kao & Jia-Rou Liu & Hung Hung & Po-Hsiu Kuo, 2015. "A Robust GWSS Method to Simultaneously Detect Rare and Common Variants for Complex Disease," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-14, April.
    15. Haipeng Li & Thomas Wiehe, 2013. "Coalescent Tree Imbalance and a Simple Test for Selective Sweeps Based on Microsatellite Variation," PLOS Computational Biology, Public Library of Science, vol. 9(5), pages 1-14, May.
    16. Shuxia Guo & Yunhua Hu & Yusong Ding & Jiaming Liu & Mei Zhang & Rulin Ma & Heng Guo & Kui Wang & Jia He & Yizhong Yan & Dongsheng Rui & Feng Sun & Lati Mu & Qiang Niu & Jingyu Zhang & Shugang Li, 2015. "Association between Eight Functional Polymorphisms and Haplotypes in the Cholesterol Ester Transfer Protein (CETP) Gene and Dyslipidemia in National Minority Adults in the Far West Region of China," IJERPH, MDPI, vol. 12(12), pages 1-14, December.
    17. Li Qin & Wu Rongling, 2009. "A Multilocus Model for Constructing a Linkage Disequilibrium Map in Human Populations," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-27, February.
    18. Shpak, Max & Ni, Yang & Lu, Jie & Müller, Peter, 2017. "Variance in estimated pairwise genetic distance under high versus low coverage sequencing: The contribution of linkage disequilibrium," Theoretical Population Biology, Elsevier, vol. 117(C), pages 51-63.
    19. Zhang, Hong & Wu, Zheyang, 2022. "The general goodness-of-fit tests for correlated data," Computational Statistics & Data Analysis, Elsevier, vol. 167(C).
    20. Jie Huang & Jennifer E. Huffman & Yunfeng Huang & Ítalo Valle & Themistocles L. Assimes & Sridharan Raghavan & Benjamin F. Voight & Chang Liu & Albert-László Barabási & Rose D. L. Huang & Qin Hui & Xu, 2022. "Genomics and phenomics of body mass index reveals a complex disease network," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:14:y:2017:i:10:p:1153-:d:113705. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.