Non-linear interaction between physical activity and polygenic risk score of body mass index in Danish and Russian populations.

Body mass index (BMI) is a highly heritable polygenic trait. It is also affected by various environmental and behavioral risk factors. We used a BMI polygenic risk score (PRS) to study the interplay between the genetic and environmental factors defining BMI. First, we generated a BMI PRS that explai...

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Autores principales:	Dmitrii Borisevich, Theresia M Schnurr, Line Engelbrechtsen, Alexander Rakitko, Lars Ängquist, Valery Ilinsky, Mette Aadahl, Niels Grarup, Oluf Pedersen, Thorkild I A Sørensen, Torben Hansen
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f8f25c9ec0004da286e696ce993038ca
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spelling	oai:doaj.org-article:f8f25c9ec0004da286e696ce993038ca2021-12-02T20:16:49ZNon-linear interaction between physical activity and polygenic risk score of body mass index in Danish and Russian populations.1932-620310.1371/journal.pone.0258748https://doaj.org/article/f8f25c9ec0004da286e696ce993038ca2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0258748https://doaj.org/toc/1932-6203Body mass index (BMI) is a highly heritable polygenic trait. It is also affected by various environmental and behavioral risk factors. We used a BMI polygenic risk score (PRS) to study the interplay between the genetic and environmental factors defining BMI. First, we generated a BMI PRS that explained more variance than a BMI genetic risk score (GRS), which was using only genome-wide significant BMI-associated variants (R2 = 13.1% compared to 6.1%). Second, we analyzed interactions between BMI PRS and seven environmental factors. We found a significant interaction between physical activity and BMI PRS, even when the well-known effect of the FTO region was excluded from the PRS, using a small dataset of 6,179 samples. Third, we stratified the study population into two risk groups using BMI PRS. The top 22% of the studied populations were included in a high PRS risk group. Engagement in self-reported physical activity was associated with a 1.66 kg/m2 decrease in BMI in this group, compared to a 0.84 kg/m2 decrease in BMI in the rest of the population. Our results (i) confirm that genetic background strongly affects adult BMI in the general population, (ii) show a non-linear interaction between BMI genetics and physical activity, and (iii) provide a standardized framework for future gene-environment interaction analyses.Dmitrii BorisevichTheresia M SchnurrLine EngelbrechtsenAlexander RakitkoLars ÄngquistValery IlinskyMette AadahlNiels GrarupOluf PedersenThorkild I A SørensenTorben HansenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0258748 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dmitrii Borisevich Theresia M Schnurr Line Engelbrechtsen Alexander Rakitko Lars Ängquist Valery Ilinsky Mette Aadahl Niels Grarup Oluf Pedersen Thorkild I A Sørensen Torben Hansen Non-linear interaction between physical activity and polygenic risk score of body mass index in Danish and Russian populations.
description	Body mass index (BMI) is a highly heritable polygenic trait. It is also affected by various environmental and behavioral risk factors. We used a BMI polygenic risk score (PRS) to study the interplay between the genetic and environmental factors defining BMI. First, we generated a BMI PRS that explained more variance than a BMI genetic risk score (GRS), which was using only genome-wide significant BMI-associated variants (R2 = 13.1% compared to 6.1%). Second, we analyzed interactions between BMI PRS and seven environmental factors. We found a significant interaction between physical activity and BMI PRS, even when the well-known effect of the FTO region was excluded from the PRS, using a small dataset of 6,179 samples. Third, we stratified the study population into two risk groups using BMI PRS. The top 22% of the studied populations were included in a high PRS risk group. Engagement in self-reported physical activity was associated with a 1.66 kg/m2 decrease in BMI in this group, compared to a 0.84 kg/m2 decrease in BMI in the rest of the population. Our results (i) confirm that genetic background strongly affects adult BMI in the general population, (ii) show a non-linear interaction between BMI genetics and physical activity, and (iii) provide a standardized framework for future gene-environment interaction analyses.
format	article
author	Dmitrii Borisevich Theresia M Schnurr Line Engelbrechtsen Alexander Rakitko Lars Ängquist Valery Ilinsky Mette Aadahl Niels Grarup Oluf Pedersen Thorkild I A Sørensen Torben Hansen
author_facet	Dmitrii Borisevich Theresia M Schnurr Line Engelbrechtsen Alexander Rakitko Lars Ängquist Valery Ilinsky Mette Aadahl Niels Grarup Oluf Pedersen Thorkild I A Sørensen Torben Hansen
author_sort	Dmitrii Borisevich
title	Non-linear interaction between physical activity and polygenic risk score of body mass index in Danish and Russian populations.
title_short	Non-linear interaction between physical activity and polygenic risk score of body mass index in Danish and Russian populations.
title_full	Non-linear interaction between physical activity and polygenic risk score of body mass index in Danish and Russian populations.
title_fullStr	Non-linear interaction between physical activity and polygenic risk score of body mass index in Danish and Russian populations.
title_full_unstemmed	Non-linear interaction between physical activity and polygenic risk score of body mass index in Danish and Russian populations.
title_sort	non-linear interaction between physical activity and polygenic risk score of body mass index in danish and russian populations.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/f8f25c9ec0004da286e696ce993038ca
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Non-linear interaction between physical activity and polygenic risk score of body mass index in Danish and Russian populations.

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