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Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age

BACKGROUND/OBJECTIVE: Genome-wide-association studies have identified numerous body mass index (BMI)-associated variants, but it is unclear how these relate to weight gain in adults at different ages. METHODS: We examined the association of a genetic risk score (GRS), consisting of 31 BMI-associated...

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Autores principales: Rukh, G, Ahmad, S, Ericson, U, Hindy, G, Stocks, T, Renström, F, Almgren, P, Nilsson, P M, Melander, O, Franks, P W, Orho-Melander, M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4753358/
https://www.ncbi.nlm.nih.gov/pubmed/26374450
http://dx.doi.org/10.1038/ijo.2015.180
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author Rukh, G
Ahmad, S
Ericson, U
Hindy, G
Stocks, T
Renström, F
Almgren, P
Nilsson, P M
Melander, O
Franks, P W
Orho-Melander, M
author_facet Rukh, G
Ahmad, S
Ericson, U
Hindy, G
Stocks, T
Renström, F
Almgren, P
Nilsson, P M
Melander, O
Franks, P W
Orho-Melander, M
author_sort Rukh, G
collection PubMed
description BACKGROUND/OBJECTIVE: Genome-wide-association studies have identified numerous body mass index (BMI)-associated variants, but it is unclear how these relate to weight gain in adults at different ages. METHODS: We examined the association of a genetic risk score (GRS), consisting of 31 BMI-associated variants, with an annual weight change (AWC) and a substantial weight gain (SWG) of 10% by comparing self-reported weight at 20 years (y) with baseline weight (mean: 58 y; s.d.: 8 y) in 21407 participants from the Malmö Diet and Cancer Study (MDCS), and comparing baseline weight to weight at follow-up (mean: 73 y; s.d.: 6 y) among 2673 participants. Association between GRS and AWG and SWG was replicated in 4327 GLACIER (Gene x Lifestyle interactions And Complex traits Involved in Elevated disease Risk) participants (mean: 45 y; s.d.: 7 y) with 10 y follow-up. Cohort-specific results were pooled by fixed-effect meta-analyses. RESULTS: In MDCS, the GRS was associated with increased AWC (β: 0.003; s.e: 0.01; P: 7 × 10(−8)) and increased odds for SWG (odds ratio (OR) 1.01 (95% confidence interval (CI): 1.00, 1.02); P: 0.013) per risk-allele from age 20y, but unexpectedly with decreased AWC (β: −0.006; s.e: 0.002; P: 0.009) and decreased odds for SWG OR 0.96 (95% CI: 0.93, 0.98); P: 0.001) between baseline and follow-up. Effect estimates from age 20 y to baseline differed significantly from those from baseline to follow-up (P: 0.0002 for AWC and P: 0.0001 for SWG). Similar to MDCS, the GRS was associated with decreased odds for SWG OR 0.98 (95% CI: 0.96, 1.00); P: 0.029) from baseline to follow-up in GLACIER. In meta-analyses (n=7000), the GRS was associated with decreased AWC (β: −0.005; s.e.m. 0.002; P: 0.002) and decreased odds for SWG OR 0.97 (95% CI: 0.96, 0.99); P: 0.001) per risk-allele. CONCLUSIONS: Our results provide convincing evidence for a paradoxical inversed relationship between a high number of BMI-associated risk-alleles and less weight gain during and after middle-age, in contrast to the expected increased weight gain seen in younger age.
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spelling pubmed-47533582016-03-02 Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age Rukh, G Ahmad, S Ericson, U Hindy, G Stocks, T Renström, F Almgren, P Nilsson, P M Melander, O Franks, P W Orho-Melander, M Int J Obes (Lond) Original Article BACKGROUND/OBJECTIVE: Genome-wide-association studies have identified numerous body mass index (BMI)-associated variants, but it is unclear how these relate to weight gain in adults at different ages. METHODS: We examined the association of a genetic risk score (GRS), consisting of 31 BMI-associated variants, with an annual weight change (AWC) and a substantial weight gain (SWG) of 10% by comparing self-reported weight at 20 years (y) with baseline weight (mean: 58 y; s.d.: 8 y) in 21407 participants from the Malmö Diet and Cancer Study (MDCS), and comparing baseline weight to weight at follow-up (mean: 73 y; s.d.: 6 y) among 2673 participants. Association between GRS and AWG and SWG was replicated in 4327 GLACIER (Gene x Lifestyle interactions And Complex traits Involved in Elevated disease Risk) participants (mean: 45 y; s.d.: 7 y) with 10 y follow-up. Cohort-specific results were pooled by fixed-effect meta-analyses. RESULTS: In MDCS, the GRS was associated with increased AWC (β: 0.003; s.e: 0.01; P: 7 × 10(−8)) and increased odds for SWG (odds ratio (OR) 1.01 (95% confidence interval (CI): 1.00, 1.02); P: 0.013) per risk-allele from age 20y, but unexpectedly with decreased AWC (β: −0.006; s.e: 0.002; P: 0.009) and decreased odds for SWG OR 0.96 (95% CI: 0.93, 0.98); P: 0.001) between baseline and follow-up. Effect estimates from age 20 y to baseline differed significantly from those from baseline to follow-up (P: 0.0002 for AWC and P: 0.0001 for SWG). Similar to MDCS, the GRS was associated with decreased odds for SWG OR 0.98 (95% CI: 0.96, 1.00); P: 0.029) from baseline to follow-up in GLACIER. In meta-analyses (n=7000), the GRS was associated with decreased AWC (β: −0.005; s.e.m. 0.002; P: 0.002) and decreased odds for SWG OR 0.97 (95% CI: 0.96, 0.99); P: 0.001) per risk-allele. CONCLUSIONS: Our results provide convincing evidence for a paradoxical inversed relationship between a high number of BMI-associated risk-alleles and less weight gain during and after middle-age, in contrast to the expected increased weight gain seen in younger age. Nature Publishing Group 2016-02 2015-10-27 /pmc/articles/PMC4753358/ /pubmed/26374450 http://dx.doi.org/10.1038/ijo.2015.180 Text en Copyright © 2016 Macmillan Publishers Limited http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Original Article
Rukh, G
Ahmad, S
Ericson, U
Hindy, G
Stocks, T
Renström, F
Almgren, P
Nilsson, P M
Melander, O
Franks, P W
Orho-Melander, M
Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age
title Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age
title_full Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age
title_fullStr Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age
title_full_unstemmed Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age
title_short Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age
title_sort inverse relationship between a genetic risk score of 31 bmi loci and weight change before and after reaching middle age
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4753358/
https://www.ncbi.nlm.nih.gov/pubmed/26374450
http://dx.doi.org/10.1038/ijo.2015.180
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