Polygenic Risk Scores and Physical Activity
Purpose 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),...
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2020
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ftjyvaeskylaenun:oai:jyx.jyu.fi:123456789/67901 2024-05-19T07:45:57+00:00 Polygenic Risk Scores and Physical Activity Kujala, Urho M. Palviainen, Teemu Pesonen, Paula Waller, Katja Sillanpää, Elina Niemelä, Maisa Kangas, Maarit Vähä-Ypyä, Henri Sievänen, Harri Korpelainen, Raija Jämsä, Timo Männikkö, Minna Kaprio, Jaakko 2020 application/pdf 1518-1524 fulltext http://urn.fi/URN:NBN:fi:jyu-202002192129 eng eng Lippincott Williams & Wilkins Medicine and Science in Sports and Exercise 0195-9131 7 52 10.1249/MSS.0000000000002290 Kujala, 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. Medicine and Science in Sports and Exercise , 52 (7), 1518-1524. https://doi.org/10.1249/MSS.0000000000002290 CONVID_34610896 URN:NBN:fi:jyu-202002192129 http://urn.fi/URN:NBN:fi:jyu-202002192129 In Copyright © 2020 the Author(s) openAccess http://rightsstatements.org/page/InC/1.0/?language=en genes exercise heritability hidden heritability geenitutkimus fyysinen aktiivisuus krooniset taudit perinnöllinen alttius perinnöllisyys perimä riskitekijät geenit article http://purl.org/eprint/type/JournalArticle http://purl.org/coar/resource_type/c_2df8fbb1 acceptedVersion A1 2020 ftjyvaeskylaenun 2024-04-23T23:38:28Z Purpose 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. peerReviewed Article in Journal/Newspaper Northern Finland JYX - Jyväskylä University Digital Archive |
institution |
Open Polar |
collection |
JYX - Jyväskylä University Digital Archive |
op_collection_id |
ftjyvaeskylaenun |
language |
English |
topic |
genes exercise heritability hidden heritability geenitutkimus fyysinen aktiivisuus krooniset taudit perinnöllinen alttius perinnöllisyys perimä riskitekijät geenit |
spellingShingle |
genes exercise heritability hidden heritability geenitutkimus fyysinen aktiivisuus krooniset taudit perinnöllinen alttius perinnöllisyys perimä riskitekijät geenit Kujala, Urho M. Palviainen, Teemu Pesonen, Paula Waller, Katja Sillanpää, Elina Niemelä, Maisa Kangas, Maarit Vähä-Ypyä, Henri Sievänen, Harri Korpelainen, Raija Jämsä, Timo Männikkö, Minna Kaprio, Jaakko Polygenic Risk Scores and Physical Activity |
topic_facet |
genes exercise heritability hidden heritability geenitutkimus fyysinen aktiivisuus krooniset taudit perinnöllinen alttius perinnöllisyys perimä riskitekijät geenit |
description |
Purpose 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. peerReviewed |
format |
Article in Journal/Newspaper |
author |
Kujala, Urho M. Palviainen, Teemu Pesonen, Paula Waller, Katja Sillanpää, Elina Niemelä, Maisa Kangas, Maarit Vähä-Ypyä, Henri Sievänen, Harri Korpelainen, Raija Jämsä, Timo Männikkö, Minna Kaprio, Jaakko |
author_facet |
Kujala, Urho M. Palviainen, Teemu Pesonen, Paula Waller, Katja Sillanpää, Elina Niemelä, Maisa Kangas, Maarit Vähä-Ypyä, Henri Sievänen, Harri Korpelainen, Raija Jämsä, Timo Männikkö, Minna Kaprio, Jaakko |
author_sort |
Kujala, Urho M. |
title |
Polygenic Risk Scores and Physical Activity |
title_short |
Polygenic Risk Scores and Physical Activity |
title_full |
Polygenic Risk Scores and Physical Activity |
title_fullStr |
Polygenic Risk Scores and Physical Activity |
title_full_unstemmed |
Polygenic Risk Scores and Physical Activity |
title_sort |
polygenic risk scores and physical activity |
publisher |
Lippincott Williams & Wilkins |
publishDate |
2020 |
url |
http://urn.fi/URN:NBN:fi:jyu-202002192129 |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_relation |
Medicine and Science in Sports and Exercise 0195-9131 7 52 10.1249/MSS.0000000000002290 Kujala, 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. Medicine and Science in Sports and Exercise , 52 (7), 1518-1524. https://doi.org/10.1249/MSS.0000000000002290 CONVID_34610896 URN:NBN:fi:jyu-202002192129 http://urn.fi/URN:NBN:fi:jyu-202002192129 |
op_rights |
In Copyright © 2020 the Author(s) openAccess http://rightsstatements.org/page/InC/1.0/?language=en |
_version_ |
1799486074132627456 |