Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults
- PMID: 28448500
- PMCID: PMC5407576
- DOI: 10.1371/journal.pgen.1006528
Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults
Erratum in
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Correction: Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.PLoS Genet. 2017 Aug 23;13(8):e1006972. doi: 10.1371/journal.pgen.1006972. eCollection 2017 Aug. PLoS Genet. 2017. PMID: 28832619 Free PMC article.
Abstract
Physical activity (PA) may modify the genetic effects that give rise to increased risk of obesity. To identify adiposity loci whose effects are modified by PA, we performed genome-wide interaction meta-analyses of BMI and BMI-adjusted waist circumference and waist-hip ratio from up to 200,452 adults of European (n = 180,423) or other ancestry (n = 20,029). We standardized PA by categorizing it into a dichotomous variable where, on average, 23% of participants were categorized as inactive and 77% as physically active. While we replicate the interaction with PA for the strongest known obesity-risk locus in the FTO gene, of which the effect is attenuated by ~30% in physically active individuals compared to inactive individuals, we do not identify additional loci that are sensitive to PA. In additional genome-wide meta-analyses adjusting for PA and interaction with PA, we identify 11 novel adiposity loci, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.
Conflict of interest statement
We have read the journal's policy and the authors of this manuscript have the following competing interests: Genotyping in the Ely and Fenland studies was supported in part by an MRC-GlaxoSmithKline pilot programme grant (G0701863). The RISC Study was supported in part by AstraZeneca. The D.E.S.I.R. study has been supported in part by INSERM contracts with Lilly, Novartis Pharma, Sanofi-Aventis, Ardix Medical, Bayer Diagnostics, Becton Dickinson, Cardionics, Merck Santé, Novo Nordisk, Pierre Fabre, Roche, and Topcon. In SHIP, genome-wide data have been supported in part by a joint grant from Siemens Healthcare, Erlangen, Germany.
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