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dc.contributor.authorKujala, Urho M.
dc.contributor.authorPalviainen, Teemu
dc.contributor.authorPesonen, Paula
dc.contributor.authorWaller, Katja
dc.contributor.authorSillanpää, Elina
dc.contributor.authorNiemelä, Maisa
dc.contributor.authorKangas, Maarit
dc.contributor.authorVähä-Ypyä, Henri
dc.contributor.authorSievänen, Harri
dc.contributor.authorKorpelainen, Raija
dc.contributor.authorJämsä, Timo
dc.contributor.authorMännikkö, Minna
dc.contributor.authorKaprio, Jaakko
dc.date.accessioned2020-02-19T13:54:45Z
dc.date.available2020-02-19T13:54:45Z
dc.date.issued2020
dc.identifier.citationKujala, U. M., Palviainen, T., Pesonen, P., Waller, K., Sillanpää, E., Niemelä, M., Kangas, M., Vähä-Ypyä, H., Sievänen, H., Korpelainen, R., Jämsä, T., Männikkö, M., & Kaprio, J. (2020). Polygenic Risk Scores and Physical Activity. <i>Medicine and Science in Sports and Exercise</i>, <i>52</i>(7), 1518-1524. <a href="https://doi.org/10.1249/MSS.0000000000002290" target="_blank">https://doi.org/10.1249/MSS.0000000000002290</a>
dc.identifier.otherCONVID_34610896
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/67901
dc.description.abstractPurpose Polygenic risk scores (PRS) summarize genome-wide genotype data into a single variable that produces an individual-level risk score for genetic liability. PRSs have been used for prediction of chronic diseases and some risk factors. As PRSs have been studied less for physical activity (PA), we constructed PRSs for PA and studied how much variation in PA can be explained by these PRSs in independent population samples. Methods We calculated PRSs for self-reported and objectively measured PA using UK Biobank genome-wide association study summary statistics, and analyzed how much of the variation in self-reported (MET-hours/day) and measured (steps and moderate-to-vigorous PA minutes/day) PA could be accounted for by the PRSs in the Finnish Twin Cohorts (FTC, N = 759-11,528) and the Northern Finland Birth Cohort 1966 (NFBC1966, N = 3,263-4,061). Objective measurement of PA was done with wrist-worn accelerometer in UK Biobank and NFBC1966 studies, and with hip-worn accelerometer in the FTC. Results The PRSs accounted from 0.07% to 1.44% of the variation (R2) in the self-reported and objectively measured PA volumes (P-value range 0.023 to < 0.0001) in FTC and NFBC1966. For both self-reported and objectively measured PA, individuals in the highest PRS deciles had significantly (11 to 28%) higher PA volumes compared to the lowest PRS deciles (P-value range 0.017 to < 0.0001). Conclusions PA is a multifactorial phenotype and the PRSs constructed based on UK Biobank results accounted for statistically significant but overall small proportion of the variation in PA in the Finnish cohorts. Using identical methods to assess PA and including less common and rare variants in the construction of PRSs may increase the proportion of PA explained by the PRSs.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherLippincott Williams & Wilkins
dc.relation.ispartofseriesMedicine and Science in Sports and Exercise
dc.rightsIn Copyright
dc.subject.othergenes
dc.subject.otherexercise
dc.subject.otherheritability
dc.subject.otherhidden heritability
dc.titlePolygenic Risk Scores and Physical Activity
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202002192129
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.oppiaineLiikuntalääketiedefi
dc.contributor.oppiaineGerontologian tutkimuskeskusfi
dc.contributor.oppiaineHyvinvoinnin tutkimuksen yhteisöfi
dc.contributor.oppiaineSports and Exercise Medicineen
dc.contributor.oppiaineGerontology Research Centeren
dc.contributor.oppiaineSchool of Wellbeingen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1518-1524
dc.relation.issn0195-9131
dc.relation.numberinseries7
dc.relation.volume52
dc.type.versionacceptedVersion
dc.rights.copyright© 2020 the Author(s)
dc.rights.accesslevelopenAccessfi
dc.subject.ysogeenitutkimus
dc.subject.ysofyysinen aktiivisuus
dc.subject.ysokrooniset taudit
dc.subject.ysoperinnöllinen alttius
dc.subject.ysoperinnöllisyys
dc.subject.ysoperimä
dc.subject.ysoriskitekijät
dc.subject.ysogeenit
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p10978
jyx.subject.urihttp://www.yso.fi/onto/yso/p23102
jyx.subject.urihttp://www.yso.fi/onto/yso/p22702
jyx.subject.urihttp://www.yso.fi/onto/yso/p24980
jyx.subject.urihttp://www.yso.fi/onto/yso/p9514
jyx.subject.urihttp://www.yso.fi/onto/yso/p8862
jyx.subject.urihttp://www.yso.fi/onto/yso/p13277
jyx.subject.urihttp://www.yso.fi/onto/yso/p147
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1249/MSS.0000000000002290
jyx.fundinginformationFinancial support of this work included the Finnish Ministry of Education and Culture (grant OKM/56/626/2013 to UMK), European Regional Development Fund (ERDF) [grant number 539/2010 A31592], Ministry of Education and Culture in Finland [grant numbers OKM/86/626/2014, OKM/43/626/2015, OKM/17/626/2016, OKM/54/626/2019 to RK and TJ]. NFBC1966 data collection at 46y received financial support from the University of Oulu (Grant no. 24000692), and Oulu University Hospital (Grant no. 24301140). Phenotype and genotype data collection in the twin cohort has been supported by the Wellcome Trust Sanger Institute, the Broad Institute, ENGAGE – European Network for Genetic and Genomic Epidemiology, FP7-HEALTHF4-2007, grant agreement number 201413, National Institute of Alcohol Abuse and Alcoholism (grants AA-12502, AA-00145, and AA-09203 to R J Rose and AA15416 and K02AA018755 to D M Dick) and the Academy of Finland (grants 100499, 205585, 118555, 141054, 264146, 308248, and 312073 to JK). JK has been supported by the Academy of Finland (grants 265240, 263278, 308248, 312073).
dc.type.okmA1


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