IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0258748.html
   My bibliography  Save this article

Non-linear interaction between physical activity and polygenic risk score of body mass index in Danish and Russian populations

Author

Listed:
  • 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

Abstract

Body mass index (BMI) is a highly heritable polygenic trait. It is also affected by various environmental and behavioral risk factors. We used a BMI polygenic risk score (PRS) to study the interplay between the genetic and environmental factors defining BMI. First, we generated a BMI PRS that explained more variance than a BMI genetic risk score (GRS), which was using only genome-wide significant BMI-associated variants (R2 = 13.1% compared to 6.1%). Second, we analyzed interactions between BMI PRS and seven environmental factors. We found a significant interaction between physical activity and BMI PRS, even when the well-known effect of the FTO region was excluded from the PRS, using a small dataset of 6,179 samples. Third, we stratified the study population into two risk groups using BMI PRS. The top 22% of the studied populations were included in a high PRS risk group. Engagement in self-reported physical activity was associated with a 1.66 kg/m2 decrease in BMI in this group, compared to a 0.84 kg/m2 decrease in BMI in the rest of the population. Our results (i) confirm that genetic background strongly affects adult BMI in the general population, (ii) show a non-linear interaction between BMI genetics and physical activity, and (iii) provide a standardized framework for future gene-environment interaction analyses.

Suggested Citation

  • 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.
    • Handle: RePEc:plo:pone00:0258748
    DOI: 10.1371/journal.pone.0258748
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0258748
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0258748&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0258748?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. 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.
    2. Tuomas O Kilpeläinen & Lu Qi & Soren Brage & Stephen J Sharp & Emily Sonestedt & Ellen Demerath & Tariq Ahmad & Samia Mora & Marika Kaakinen & Camilla Helene Sandholt & Christina Holzapfel & Christine, 2011. "Physical Activity Attenuates the Influence of FTO Variants on Obesity Risk: A Meta-Analysis of 218,166 Adults and 19,268 Children," PLOS Medicine, Public Library of Science, vol. 8(11), pages 1-14, November.
    3. Anne E. Justice & Thomas W. Winkler & Mary F. Feitosa & Misa Graff & Virginia A. Fisher & Kristin Young & Llilda Barata & Xuan Deng & Jacek Czajkowski & David Hadley & Julius S. Ngwa & Tarunveer S. Ah, 2017. "Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits," Nature Communications, Nature, vol. 8(1), pages 1-19, April.
    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. Tom White & Kate Westgate & Nicholas J Wareham & Soren Brage, 2016. "Estimation of Physical Activity Energy Expenditure during Free-Living from Wrist Accelerometry in UK Adults," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-11, December.
    2. 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.
    3. 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.
    4. Esmonde, Katelyn & Roth, Stephen & Walker, Alexis, 2023. "A social and ethical framework for providing health information obtained from combining genetics and fitness tracking data," Technology in Society, Elsevier, vol. 74(C).
    5. 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.

    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:pone00:0258748. 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.