4.5 Article

Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE

Journal

INTERNATIONAL JOURNAL OF OBESITY
Volume 42, Issue 6, Pages 1161-1176

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41366-018-0120-3

Keywords

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Funding

  1. National Institute of Diabetes and Digestive and Kidney Diseases [K01DK095032]
  2. National Institute on Aging [AG019610]
  3. State of Arizona
  4. Arizona Department of Health Services (ADHS)
  5. McKnight Brain Research Foundation
  6. National Heart, Lung, and Blood Institute [HHSN268201100005C, HHSN268201100006C, HHSN268201100007C, HHSN268201100008C, HHSN2682011000 09C, HHSN268201100010C, HHSN268201100011C, HHSN2 68201100012C]
  7. National Human Genome Research Institute [U01HG004402]
  8. NATIONAL HUMAN GENOME RESEARCH INSTITUTE [U01HG004402] Funding Source: NIH RePORTER
  9. NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [K01DK095032] Funding Source: NIH RePORTER
  10. NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES [P30ES006694] Funding Source: NIH RePORTER
  11. NATIONAL INSTITUTE ON AGING [P30AG019610] Funding Source: NIH RePORTER

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Background/objectives Physical activity (PA) protects against a wide range of diseases. Habitual PA appears to be heritable, motivating the search for specific genetic variants that may inform efforts to promote PA and target the best type of PA for each individual. Subjects/methods We used data from the UK Biobank to perform the largest genome-wide association study of PA to date, using three measures based on self-report (n(max) = 377,234) and two measures based on wrist-worn accelerometry data (nmax = 91,084). We examined genetic correlations of PA with other traits and diseases, as well as tissue-specific gene expression patterns. With data from the Atherosclerosis Risk in Communities (ARIC; n = 8,556) study, we performed a meta-analysis of our top hits for moderate-to-vigorous PA (MVPA). Results We identified ten loci across all PA measures that were significant in both a basic and a fully adjusted model (p < 5 x 10(-9)). Upon meta-analysis of the nine top hits for MVPA with results from ARIC, eight were genome-wide significant. Interestingly, among these, the rs429358 variant in the APOE gene was the most strongly associated with MVPA, whereby the allele associated with higher Alzheimer's risk was associated with greater MVPA. However, we were not able to rule out possible selection bias underlying this result. Variants in CADM2, a gene previously implicated in obesity, risk-taking behavior and other traits, were found to be associated with habitual PA. We also identified three loci consistently associated (p < 5 x 10(-5)) with PA across both self-report and accelerometry, including CADM2. We found genetic correlations of PA with educational attainment, chronotype, psychiatric traits, and obesity-related traits. Tissue enrichment analyses implicate the brain and pituitary gland as locations where PA-associated loci may exert their actions. Conclusions These results provide new insight into the genetic basis of habitual PA, and the genetic links connecting PA with other traits and diseases.

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