IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0221252.html
   My bibliography  Save this article

A genetic sum score of risk alleles associated with body mass index interacts with socioeconomic position in the Heinz Nixdorf Recall Study

Author

Listed:
  • Mirjam Frank
  • Nico Dragano
  • Marina Arendt
  • Andreas J Forstner
  • Markus M Nöthen
  • Susanne Moebus
  • Raimund Erbel
  • Karl-Heinz Jöckel
  • Börge Schmidt

Abstract

Body mass index (BMI) is influenced by genetic, behavioral and environmental factors, while interactions between genetic and socioeconomic factors have been suggested. Aim of the study was to investigate whether socioeconomic position (SEP) interacts with a BMI-related genetic sum score (GRSBMI) to affect BMI in a population-based cohort. SEP-related health behaviors and a GRS associated with educational attainment (GRSEdu) were included in the analysis to explore potential interactions underlying the GRSBMIxSEP effect. Baseline information on SEP indicators (education, income), BMI, smoking, physical activity, alcohol consumption and genetic risk factors were available for 4,493 participants of the Heinz Nixdorf Recall Study. Interaction analysis was based on linear regression as well as on stratified analyses. In SEP-stratified analyses, the highest genetic effects were observed in the lowest educational group with a 0.24 kg/m2 higher BMI (95%CI: 0.16; 0.31) and in the lowest income quartile with a 0.14 kg/m2 higher BMI (95%CI: 0.09; 0.18) per additional risk allele. Indication for a GRSBMIxSEP interaction was observed for education (ßGRSbmixeducation = -0.02 [95%CI:-0.03; -0.01]) and income (ßGRSbmixincome = -0.05 [95%CI: -0.08; -0.02]). When adjusting for interactions with the GRSEdu and SEP-related health behaviors, effect size estimates of the GRSBMIxSEP interaction remained virtually unchanged. Results gave indication for an interaction of BMI-related genetic risk factors with SEP indicators, showing substantially stronger genetic effects in low SEP groups. This supports the hypothesis that expression of genetic risks is higher in socioeconomically disadvantaged environments. No indication was observed that the GRSBMIxSEP interaction was affected by other SEP-related factors included in the analysis.

Suggested Citation

  • Mirjam Frank & Nico Dragano & Marina Arendt & Andreas J Forstner & Markus M Nöthen & Susanne Moebus & Raimund Erbel & Karl-Heinz Jöckel & Börge Schmidt, 2019. "A genetic sum score of risk alleles associated with body mass index interacts with socioeconomic position in the Heinz Nixdorf Recall Study," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-14, August.
    • Handle: RePEc:plo:pone00:0221252
    DOI: 10.1371/journal.pone.0221252
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0221252
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0221252&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0221252?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Liu, S.Y. & Walter, S. & Marden, J. & Rehkopf, D.H. & Kubzansky, L.D. & Nguyen, T. & Glymour, M.M., 2015. "Genetic vulnerability to diabetes and obesity: Does education offset the risk?," Social Science & Medicine, Elsevier, vol. 127(C), pages 150-158.
    2. Amin, Vikesh & Böckerman, Petri & Viinikainen, Jutta & Smart, Melissa C. & Bao, Yanchun & Kumari, Meena & Pitkänen, Niina & Lehtimäki, Terho & Raitakari, Olli & Pehkonen, Jaakko, 2017. "Gene-environment interactions between education and body mass: Evidence from the UK and Finland," Social Science & Medicine, Elsevier, vol. 195(C), pages 12-16.
    3. Wendy Johnson & Kirsten Ohm Kyvik & Axel Skytthe & Ian J Deary & Thorkild I A Sørensen, 2011. "Education Modifies Genetic and Environmental Influences on BMI," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-11, January.
    4. Mathias Rask-Andersen & Torgny Karlsson & Weronica E Ek & Åsa Johansson, 2017. "Gene-environment interaction study for BMI reveals interactions between genetic factors and physical activity, alcohol consumption and socioeconomic status," PLOS Genetics, Public Library of Science, vol. 13(9), pages 1-20, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sonali Pechlivanis & Susanne Moebus & Nils Lehmann & Raimund Erbel & Amir A Mahabadi & Per Hoffmann & Karl-Heinz Jöckel & Markus M Nöthen & Hagen S Bachmann & on behalf of the Heinz Nixdorf Recall Stu, 2020. "Genetic risk scores for coronary artery disease and its traditional risk factors: Their role in the progression of coronary artery calcification—Results of the Heinz Nixdorf Recall study," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-18, May.

    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. Amin, Vikesh & Behrman, Jere R. & Fletcher, Jason M. & Flores, Carlos A. & Flores-Lagunes, Alfonso & Kohler, Hans-Peter, 2019. "Mental Health, Schooling Attainment and Polygenic Scores: Are There Significant Gene-Environment Associations?," GLO Discussion Paper Series 362, Global Labor Organization (GLO).
    2. Amin, Vikesh & Dunn, Paul & Spector, Tim, 2018. "Does education attenuate the genetic risk of obesity? Evidence from U.K. Twins," Economics & Human Biology, Elsevier, vol. 31(C), pages 200-208.
    3. Vikesh Amin & Jere R. Behrman & Jason M. Fletcher & Carlos A. Flores & Alfonso Flores-Lagunes & Hans-Peter Kohler, 2020. "Mental Health, Schooling Attainment and Polygenic Scores: Are There Significant Genetic-Environmental Associations?," PIER Working Paper Archive 20-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    4. Amin, Vikesh & Böckerman, Petri & Viinikainen, Jutta & Smart, Melissa C. & Bao, Yanchun & Kumari, Meena & Pitkänen, Niina & Lehtimäki, Terho & Raitakari, Olli & Pehkonen, Jaakko, 2017. "Gene-environment interactions between education and body mass: Evidence from the UK and Finland," Social Science & Medicine, Elsevier, vol. 195(C), pages 12-16.
    5. Tamara Power & Ray Kelly & Kim Usher & Leah East & Jo Travaglia & Hamish Robertson & Ann Wong & Debra Jackson, 2020. "Living with diabetes and disadvantage: A qualitative, geographical case study," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(13-14), pages 2710-2722, July.
    6. Duncan, Roberto & Toledo, Patricia, 2019. "Inequality in body mass indices across countries: Evidence from convergence tests," Economics & Human Biology, Elsevier, vol. 33(C), pages 40-57.
    7. Augustine Denteh & Daniel L. Millimet & Rusty Tchernis, 2019. "The origins of early childhood anthropometric persistence," Empirical Economics, Springer, vol. 56(6), pages 2185-2224, June.
    8. Kim, Young-Joo & Daly, Vincent, 2019. "The Education Gradient in Health: The Case of Obesity in the UK and US," Economics Discussion Papers 2019-4, School of Economics, Kingston University London.
    9. Jason Boardman & Benjamin Domingue & Casey Blalock & Brett Haberstick & Kathleen Harris & Matthew McQueen, 2014. "Is the Gene-Environment Interaction Paradigm Relevant to Genome-Wide Studies? The Case of Education and Body Mass Index," Demography, Springer;Population Association of America (PAA), vol. 51(1), pages 119-139, February.
    10. Kenneth E. Westerman & Timothy D. Majarian & Franco Giulianini & Dong-Keun Jang & Jenkai Miao & Jose C. Florez & Han Chen & Daniel I. Chasman & Miriam S. Udler & Alisa K. Manning & Joanne B. Cole, 2022. "Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    11. Yuwei Qi & Annemarie Koster & Martin van Boxtel & Sebastian Köhler & Miranda Schram & Nicolaas Schaper & Coen Stehouwer & Hans Bosma, 2019. "Adulthood Socioeconomic Position and Type 2 Diabetes Mellitus—A Comparison of Education, Occupation, Income, and Material Deprivation: The Maastricht Study," IJERPH, MDPI, vol. 16(8), pages 1-13, April.
    12. Liu, S.Y. & Walter, S. & Marden, J. & Rehkopf, D.H. & Kubzansky, L.D. & Nguyen, T. & Glymour, M.M., 2015. "Genetic vulnerability to diabetes and obesity: Does education offset the risk?," Social Science & Medicine, Elsevier, vol. 127(C), pages 150-158.
    13. Sara Della Bella & Mario Lucchini, 2015. "Education and BMI: a genetic informed analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2577-2593, November.
    14. Miguel Vicente López Soblechero & Cristina González Gaya & Juan José Hernández Ramírez, 2014. "A Comparative Study of Classroom and Online Distance Modes of Official Vocational Education and Training," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-9, May.
    15. Bierut, Laura & Biroli, Pietro & Galama, Titus J. & Thom, Kevin, 2023. "Challenges in studying the interplay of genes and environment. A study of childhood financial distress moderating genetic predisposition for peak smoking," Journal of Economic Psychology, Elsevier, vol. 98(C).
    16. Dmitrii Borisevich & Theresia M Schnurr & Line Engelbrechtsen & Alexander Rakitko & Lars Ängquist & Valery Ilinsky & Mette Aadahl & Niels Grarup & Oluf Pedersen & Thorkild I A Sørensen & Torben Hansen, 2021. "Non-linear interaction between physical activity and polygenic risk score of body mass index in Danish and Russian populations," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-16, October.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0221252. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.