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From modeling to measurement: Developmental trends in genetic influence on adiposity in childhood

OBJECTIVE: Evidence of increasing heritability of BMI over childhood can seem paradoxical given longer exposure to environmental influences. Genomic data were used to provide direct evidence of developmental increases in genetic influence. METHODS: BMI standard deviation scores (BMI-SDS) at ages 4 a...

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Autores principales: Llewellyn, CH, Trzaskowski, M, Plomin, R, Wardle, J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4077923/
https://www.ncbi.nlm.nih.gov/pubmed/24760426
http://dx.doi.org/10.1002/oby.20756
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author Llewellyn, CH
Trzaskowski, M
Plomin, R
Wardle, J
author_facet Llewellyn, CH
Trzaskowski, M
Plomin, R
Wardle, J
author_sort Llewellyn, CH
collection PubMed
description OBJECTIVE: Evidence of increasing heritability of BMI over childhood can seem paradoxical given longer exposure to environmental influences. Genomic data were used to provide direct evidence of developmental increases in genetic influence. METHODS: BMI standard deviation scores (BMI-SDS) at ages 4 and 10 were calculated for 2,556 twin pairs in the Twins Early Development Study. Twin analyses estimated heritability of BMI-SDS at each age and the longitudinal genetic correlation. One randomly selected twin per pair was genotyped. Genome-wide complex trait analysis (GCTA) determined DNA-based heritability at each age and the longitudinal genomic correlation. Associations with a polygenic obesity risk score (PRS) using 28 obesity-related single nucleotide polymorphisms (SNPs) were assessed at each age, with bootstrapping to test the significance of the increase in variance explained. RESULTS: Twin-estimated heritability increased from age 4 (0.43; 95% CI: 0.35-0.53) to 10 (0.82; 0.74-0.88). GCTA-estimated heritability went from non-significant at 4 (0.20; −0.21 to 0.61) to significant at 10 (0.29; 0.01-0.57). Longitudinal genetic correlations derived from twins (0.58) and GCTA (0.66) were similar. The same PRS explained more variance at 10 than 4 years (R(2) Δ:0.024; 0.002-0.078). CONCLUSIONS: GCTA and PRS findings confirm twin-based results suggesting increasing genetic influence on adiposity during childhood despite substantial genetic stability.
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spelling pubmed-40779232014-11-28 From modeling to measurement: Developmental trends in genetic influence on adiposity in childhood Llewellyn, CH Trzaskowski, M Plomin, R Wardle, J Obesity (Silver Spring) Original Articles OBJECTIVE: Evidence of increasing heritability of BMI over childhood can seem paradoxical given longer exposure to environmental influences. Genomic data were used to provide direct evidence of developmental increases in genetic influence. METHODS: BMI standard deviation scores (BMI-SDS) at ages 4 and 10 were calculated for 2,556 twin pairs in the Twins Early Development Study. Twin analyses estimated heritability of BMI-SDS at each age and the longitudinal genetic correlation. One randomly selected twin per pair was genotyped. Genome-wide complex trait analysis (GCTA) determined DNA-based heritability at each age and the longitudinal genomic correlation. Associations with a polygenic obesity risk score (PRS) using 28 obesity-related single nucleotide polymorphisms (SNPs) were assessed at each age, with bootstrapping to test the significance of the increase in variance explained. RESULTS: Twin-estimated heritability increased from age 4 (0.43; 95% CI: 0.35-0.53) to 10 (0.82; 0.74-0.88). GCTA-estimated heritability went from non-significant at 4 (0.20; −0.21 to 0.61) to significant at 10 (0.29; 0.01-0.57). Longitudinal genetic correlations derived from twins (0.58) and GCTA (0.66) were similar. The same PRS explained more variance at 10 than 4 years (R(2) Δ:0.024; 0.002-0.078). CONCLUSIONS: GCTA and PRS findings confirm twin-based results suggesting increasing genetic influence on adiposity during childhood despite substantial genetic stability. BlackWell Publishing Ltd 2014-07 2014-04-24 /pmc/articles/PMC4077923/ /pubmed/24760426 http://dx.doi.org/10.1002/oby.20756 Text en © 2014 The Authors Obesity published by Wiley Periodicals, Inc. on behalf of The Obesity Society (TOS) http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Llewellyn, CH
Trzaskowski, M
Plomin, R
Wardle, J
From modeling to measurement: Developmental trends in genetic influence on adiposity in childhood
title From modeling to measurement: Developmental trends in genetic influence on adiposity in childhood
title_full From modeling to measurement: Developmental trends in genetic influence on adiposity in childhood
title_fullStr From modeling to measurement: Developmental trends in genetic influence on adiposity in childhood
title_full_unstemmed From modeling to measurement: Developmental trends in genetic influence on adiposity in childhood
title_short From modeling to measurement: Developmental trends in genetic influence on adiposity in childhood
title_sort from modeling to measurement: developmental trends in genetic influence on adiposity in childhood
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4077923/
https://www.ncbi.nlm.nih.gov/pubmed/24760426
http://dx.doi.org/10.1002/oby.20756
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