TY - JOUR
T1 - Genome-wide Association Study of Liking for Several Types of Physical Activity in the UK Biobank and Two Replication Cohorts
AU - Klimentidis, Yann C.
AU - Newell, Michelle
AU - Van Der Zee, Matthijs D.
AU - Bland, Victoria L.
AU - May-Wilson, Sebastian
AU - Arani, Gayatri
AU - Menni, Cristina
AU - Mangino, Massimo
AU - Arora, Amit
AU - Raichlen, David A.
AU - Alexander, Gene E.
AU - Wilson, James F.
AU - Boomsma, Dorret I.
AU - Hottenga, Jouke Jan
AU - De Geus, Eco C.O.J.C.
AU - Pirastu, Nicola
N1 - Funding Information:
This research was conducted using the UK Biobank Resource under Application Number 15678 and 19655. The authors thank the funders, organizers, and participants of the UK Biobank, the Netherlands Twin Register, and TwinsUK. Y. C. K. acknowledges support from the NIH/NHLBI (R01-HL136528). J. F. W. acknowledges support from the MRC Human Genetics Unit quinquennial program grant “QTL in Health and Disease” (MC_UU_00007/10). TwinsUK receives funding from the Wellcome Trust (212904/Z/18/Z), Medical Research Council (AIMHY; MR/M016560/1), and European Union (H2020 contract #733100). TwinsUK and M. M. are supported by the National Institute for Health Research (NIHR)–funded BioResource, Clinical Research Facility and Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust in partnership with King’s College London. C. M. is funded by the Chronic Disease Research Foundation and by the Medical Research Council (MRC)/British Heart Foundation Ancestry and Biological Informative Markers for Stratification of Hypertension (AIMHY; MR/M016560/1). G. E. A. acknowledges support from the National Institute on Aging, NIH (AG072980, AG067200, AG019610, AG064587), State of Arizona and Arizona Department of Health Services, and McKnight Brain Research Foundation. Phenotyping in NTR was funded by BBRMI-CP2011-38: Enrichment of NTR with information on dietary intake and aspects of eating behavior (PI: Boomsma and Feskens); genotyping in NTR was funded by multiple grants from the Netherlands Organization for Scientific Research (NWO) and The Netherlands Organization for Health Research and Development (ZonMW), the Biobanking and Biomolecular Resources Research Infrastructure (BBMRI-NL, 184.021.007 and 184.033.111), the European Community’s Framework Programs (FP5-LIFE QUALITY-CT-2002-2006, FP7-HEALTH-F4-2007-2013, grant 01254: GenomEUtwin, grant 01413: ENGAGE); the European Research Council (ERC Starting 284167, ERC Consolidator 771057, ERC Advanced 230374), Rutgers University Cell and DNA Repository (NIMH U24 MH068457-06), the National Institutes of Health (NIH, R01D0042157-01A1, MH081802, DA018673, R01 DK092127-04, Grand Opportunity grant 1RC2 MH089951), and the Avera Institute for Human Genetics, Sioux Falls, South Dakota (USA). The results of this study are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation. The results of the present study do not constitute endorsement by the American College of Sports Medicine. The authors have no relevant conflicts of interest to disclose.
Publisher Copyright:
© Lippincott Williams & Wilkins.
PY - 2022/8/1
Y1 - 2022/8/1
N2 - Introduction A lack of physical activity (PA) is one of the most pressing health issues today. Our individual propensity for PA is influenced by genetic factors. Stated liking of different PA types may help capture additional and informative dimensions of PA behavior genetics. Methods In over 157,000 individuals from the UK Biobank, we performed genome-wide association studies of five items assessing the liking of different PA types, plus an additional derived trait of overall PA-liking. We attempted to replicate significant associations in the Netherlands Twin Register (NTR) and TwinsUK. Additionally, polygenic scores (PGS) were trained in the UK Biobank for each PA-liking item and for self-reported PA behavior, and tested for association with PA in the NTR. Results We identified a total of 19 unique significant loci across all five PA-liking items and the overall PA-liking trait, and these showed strong directional consistency in the replication cohorts. Four of these loci were previously identified for PA behavior, including CADM2, which was associated with three PA-liking items. The PA-liking items were genetically correlated with self-reported (rg = 0.38-0.80) and accelerometer (rg = 0.26-0.49) PA measures, and with a wide range of health-related traits. Each PA-liking PGS significantly predicted the same PA-liking item in NTR. The PGS of liking for going to the gym predicted PA behavior in the NTR (r2 = 0.40%) nearly as well as a PGS based on self-reported PA behavior (r2 = 0.42%). Combining the two PGS into a single model increased the r2 to 0.59%, suggesting that PA-liking captures distinct and relevant dimensions of PA behavior. Conclusions We have identified the first loci associated with PA-liking and extended our understanding of the genetic basis of PA behavior.
AB - Introduction A lack of physical activity (PA) is one of the most pressing health issues today. Our individual propensity for PA is influenced by genetic factors. Stated liking of different PA types may help capture additional and informative dimensions of PA behavior genetics. Methods In over 157,000 individuals from the UK Biobank, we performed genome-wide association studies of five items assessing the liking of different PA types, plus an additional derived trait of overall PA-liking. We attempted to replicate significant associations in the Netherlands Twin Register (NTR) and TwinsUK. Additionally, polygenic scores (PGS) were trained in the UK Biobank for each PA-liking item and for self-reported PA behavior, and tested for association with PA in the NTR. Results We identified a total of 19 unique significant loci across all five PA-liking items and the overall PA-liking trait, and these showed strong directional consistency in the replication cohorts. Four of these loci were previously identified for PA behavior, including CADM2, which was associated with three PA-liking items. The PA-liking items were genetically correlated with self-reported (rg = 0.38-0.80) and accelerometer (rg = 0.26-0.49) PA measures, and with a wide range of health-related traits. Each PA-liking PGS significantly predicted the same PA-liking item in NTR. The PGS of liking for going to the gym predicted PA behavior in the NTR (r2 = 0.40%) nearly as well as a PGS based on self-reported PA behavior (r2 = 0.42%). Combining the two PGS into a single model increased the r2 to 0.59%, suggesting that PA-liking captures distinct and relevant dimensions of PA behavior. Conclusions We have identified the first loci associated with PA-liking and extended our understanding of the genetic basis of PA behavior.
KW - Exercise
KW - Genetic
KW - Genome-wide association study
KW - Liking
KW - Physical activity
KW - Preferences
UR - http://www.scopus.com/inward/record.url?scp=85134428947&partnerID=8YFLogxK
U2 - 10.1249/MSS.0000000000002907
DO - 10.1249/MSS.0000000000002907
M3 - Article
C2 - 35320144
AN - SCOPUS:85134428947
SN - 0195-9131
VL - 54
SP - 1252
EP - 1260
JO - Medicine and Science in Sports and Exercise
JF - Medicine and Science in Sports and Exercise
IS - 8
ER -