Polygenic Risk Scores and Physical Activity
ABSTRACT Purpose Polygenic risk scores (PRS) summarize genome-wide genotype data into a single variable that produces an individual-level risk score for genetic liability. PRS has been used for prediction of chronic diseases and some risk factors. As PRS has been studied less for physical activity (...
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crovidcr:10.1249/mss.0000000000002290 2024-09-09T19:59:21+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 http://dx.doi.org/10.1249/mss.0000000000002290 https://journals.lww.com/10.1249/MSS.0000000000002290 en eng Ovid Technologies (Wolters Kluwer Health) http://creativecommons.org/licenses/by-nc-nd/4.0/ Medicine & Science in Sports & Exercise volume 52, issue 7, page 1518-1524 ISSN 1530-0315 0195-9131 journal-article 2020 crovidcr https://doi.org/10.1249/mss.0000000000002290 2024-08-27T04:12:32Z ABSTRACT Purpose Polygenic risk scores (PRS) summarize genome-wide genotype data into a single variable that produces an individual-level risk score for genetic liability. PRS has been used for prediction of chronic diseases and some risk factors. As PRS has been studied less for physical activity (PA), we constructed PRS for PA and studied how much variation in PA can be explained by this PRS in independent population samples. Methods We calculated PRS 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 per day) and measured (steps and moderate-to-vigorous PA minutes per day) PA could be accounted for by the PRS in the Finnish Twin Cohorts (FTC; N = 759–11,528) and the Northern Finland Birth Cohort 1966 (NFBC1966; N = 3263–4061). 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 PRS accounted from 0.07% to 1.44% of the variation ( R 2 ) in the self-reported and objectively measured PA volumes ( P value range = 0.023 to <0.0001) in the FTC and NFBC1966. For both self-reported and objectively measured PA, individuals in the highest PRS deciles had significantly (11%–28%) higher PA volumes compared with the lowest PRS deciles ( P value range = 0.017 to <0.0001). Conclusions PA is a multifactorial phenotype, and the PRS 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 PRS may increase the proportion of PA explained by the PRS. Article in Journal/Newspaper Northern Finland Ovid Medicine & Science in Sports & Exercise 52 7 1518 1524 |
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English |
description |
ABSTRACT Purpose Polygenic risk scores (PRS) summarize genome-wide genotype data into a single variable that produces an individual-level risk score for genetic liability. PRS has been used for prediction of chronic diseases and some risk factors. As PRS has been studied less for physical activity (PA), we constructed PRS for PA and studied how much variation in PA can be explained by this PRS in independent population samples. Methods We calculated PRS 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 per day) and measured (steps and moderate-to-vigorous PA minutes per day) PA could be accounted for by the PRS in the Finnish Twin Cohorts (FTC; N = 759–11,528) and the Northern Finland Birth Cohort 1966 (NFBC1966; N = 3263–4061). 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 PRS accounted from 0.07% to 1.44% of the variation ( R 2 ) in the self-reported and objectively measured PA volumes ( P value range = 0.023 to <0.0001) in the FTC and NFBC1966. For both self-reported and objectively measured PA, individuals in the highest PRS deciles had significantly (11%–28%) higher PA volumes compared with the lowest PRS deciles ( P value range = 0.017 to <0.0001). Conclusions PA is a multifactorial phenotype, and the PRS 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 PRS may increase the proportion of PA explained by the PRS. |
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 |
spellingShingle |
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 |
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 |
Ovid Technologies (Wolters Kluwer Health) |
publishDate |
2020 |
url |
http://dx.doi.org/10.1249/mss.0000000000002290 https://journals.lww.com/10.1249/MSS.0000000000002290 |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_source |
Medicine & Science in Sports & Exercise volume 52, issue 7, page 1518-1524 ISSN 1530-0315 0195-9131 |
op_rights |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
op_doi |
https://doi.org/10.1249/mss.0000000000002290 |
container_title |
Medicine & Science in Sports & Exercise |
container_volume |
52 |
container_issue |
7 |
container_start_page |
1518 |
op_container_end_page |
1524 |
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1809930483318915072 |