Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE
Name:
genetics_of_habitual_PA_4-6-18 ...
Size:
2.403Mb
Format:
PDF
Description:
Final Accepted Manuscript
Author
Klimentidis, Yann C.Raichlen, David A.
Bea, Jennifer
Garcia, David O.
Wineinger, Nathan E.
Mandarino, Lawrence J.
Alexander, Gene E.
Chen, Zhao
Going, Scott B.
Affiliation
Univ Arizona, Dept Epidemiol & BiostatUniv Arizona, Sch Anthropol
Univ Arizona, Dept Med
Univ Arizona, Dept Nutr Sci
Univ Arizona, Mel & Enid Zuckerman Coll Publ Hlth, Dept Hlth Promot Sci
Univ Arizona, Dept Med, Div Endocrinol Diabet & Metab, Ctr Dispar Diabet Obes & Metab
Univ Arizona, Neurosci Program
Univ Arizona, Physiol Sci Interdisciplinary Program
Issue Date
2018-06
Metadata
Show full item recordPublisher
NATURE PUBLISHING GROUPCitation
Choi, K., Chen, C. Y., Stein, M., Klimentidis, Y., Wang, M. J., Koenen, K., & Smoller, J. (2018). Testing Causal Bidirectional Influences between Physical Activity and Depression using Mendelian Randomization. bioRxiv, 364232. https://doi.org/10.1038/s41366-018-0120-3Journal
INTERNATIONAL JOURNAL OF OBESITYRights
Copyright © 2018, Springer Nature.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
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.Note
6 month embargo; published online: 13 June 2018ISSN
0307-05651476-5497
PubMed ID
29899525Version
Final accepted manuscriptSponsors
National Institute of Diabetes and Digestive and Kidney Diseases [K01DK095032]; National Institute on Aging [AG019610]; State of Arizona; Arizona Department of Health Services (ADHS); McKnight Brain Research Foundation; National Heart, Lung, and Blood Institute [HHSN268201100005C, HHSN268201100006C, HHSN268201100007C, HHSN268201100008C, HHSN2682011000 09C, HHSN268201100010C, HHSN268201100011C, HHSN2 68201100012C]; National Human Genome Research Institute [U01HG004402]Additional Links
http://www.nature.com/articles/s41366-018-0120-3ae974a485f413a2113503eed53cd6c53
10.1038/s41366-018-0120-3
Scopus Count
Collections
Related articles
- Genetic variation in CADM2 as a link between psychological traits and obesity.
- Authors: Morris J, Bailey MES, Baldassarre D, Cullen B, de Faire U, Ferguson A, Gigante B, Giral P, Goel A, Graham N, Hamsten A, Humphries SE, Johnston KJA, Lyall DM, Lyall LM, Sennblad B, Silveira A, Smit AJ, Tremoli E, Veglia F, Ward J, Watkins H, Smith DJ, Strawbridge RJ
- Issue date: 2019 May 14
- Intensity-Specific Physical Activity Measured by Accelerometer, Genetic Susceptibility, and the Risk of Kidney Stone Disease: Results From the UK Biobank.
- Authors: Liu Y, Ku PW, Li Z, Yang H, Zhang T, Chen L, Xia Y, Bai S
- Issue date: 2024 Oct
- Genome-wide Association Study of Liking for Several Types of Physical Activity in the UK Biobank and Two Replication Cohorts.
- Authors: Klimentidis YC, Newell M, VAN DER Zee MD, Bland VL, May-Wilson S, Arani G, Menni C, Mangino M, Arora A, Raichlen DA, Alexander GE, Wilson JF, Boomsma DI, Hottenga JJ, DE Geus EJC, Pirastu N
- Issue date: 2022 Aug 1
- Physical Activity, APOE Genotype, and Cognitive Decline: Exploring Gene-Environment Interactions in the UK Biobank.
- Authors: Folley S, Zhou A, Llewellyn DJ, Hyppönen E
- Issue date: 2019
- Objectively Measured Physical Activity Using Wrist-Worn Accelerometers as a Predictor of Incident Alzheimer's Disease in the UK Biobank.
- Authors: Zhao A, Cui E, Leroux A, Zhou X, Muschelli J, Lindquist MA, Crainiceanu CM
- Issue date: 2025 Jan 16
