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Contribution of Heritability and Epigenetic Factors to Skeletal Muscle Mass Variation in United Kingdom Twins

CONTEXT: Skeletal muscle mass (SMM) is one of the major components of human body composition, with deviations from normal values often leading to sarcopenia. OBJECTIVE: Our major aim was to conduct a genome-wide DNA methylation study in an attempt to identify potential genomic regions associated wit...

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Autores principales: Livshits, Gregory, Gao, Fei, Malkin, Ida, Needhamsen, Maria, Xia, Yudong, Yuan, Wei, Bell, Christopher G., Ward, Kirsten, Liu, Yuan, Wang, Jun, Bell, Jordana T., Spector, Tim D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Endocrine Society 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4891794/
https://www.ncbi.nlm.nih.gov/pubmed/27144936
http://dx.doi.org/10.1210/jc.2016-1219
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author Livshits, Gregory
Gao, Fei
Malkin, Ida
Needhamsen, Maria
Xia, Yudong
Yuan, Wei
Bell, Christopher G.
Ward, Kirsten
Liu, Yuan
Wang, Jun
Bell, Jordana T.
Spector, Tim D.
author_facet Livshits, Gregory
Gao, Fei
Malkin, Ida
Needhamsen, Maria
Xia, Yudong
Yuan, Wei
Bell, Christopher G.
Ward, Kirsten
Liu, Yuan
Wang, Jun
Bell, Jordana T.
Spector, Tim D.
author_sort Livshits, Gregory
collection PubMed
description CONTEXT: Skeletal muscle mass (SMM) is one of the major components of human body composition, with deviations from normal values often leading to sarcopenia. OBJECTIVE: Our major aim was to conduct a genome-wide DNA methylation study in an attempt to identify potential genomic regions associated with SMM. DESIGN: This was a mixed cross-sectional and longitudinal study. SETTING: Community-based study. PARTICIPANTS: A total of 1550 middle-aged United Kingdom twins (monozygotic [MZ] and dizygotic [DZ]), 297 of which were repeatedly measured participated in the study. MAIN OUTCOME MEASURE: Appendicular lean mass assessed using dual-energy X-ray absorptiometry technology, and methylated DNA immunoprecipitation sequencing DNA methylation profiling genome-wide were obtained from each individual. RESULTS: Heritability estimate of SMM, with simultaneous adjustment for covariates obtained using variance decomposition analysis, was h(2) = 0.809 ± 0.050. After quality control and analysis of longitudinal stability, the DNA methylation data comprised of 723 029 genomic sites, with positive correlations between repeated measurements (R(repeated) = 0.114–0.905). Correlations between MZ and DZ twins were 0.51 and 0.38 at a genome-wide average, respectively, and clearly increased with R(repeated). Testing for DNA methylation association with SMM in 50 discordant MZ twins revealed 36 081 nominally significant results, of which the top-ranked 134 signals (P < .01 and R(repeated) > 0.40) were subjected to replication in the sample of 1196 individuals. Seven SMM methylation association signals replicated at a false discovery rate less than 0.1, and these were located in or near genes DNAH12, CAND1, CYP4F29P, and ZFP64, which have previously been highlighted in muscle-related studies. Adjusting for age, smoking, and blood cell heterogeneity did not alter significance of these associations. CONCLUSION: This epigenome-wide study, testing longitudinally stable methylation sites, discovered and replicated a number of associations between DNA methylation at CpG loci and SMM. Four replicated signals were related to genes with potential muscle functions, suggesting that the methylome of whole blood may be informative of SMM variation.
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spelling pubmed-48917942016-06-14 Contribution of Heritability and Epigenetic Factors to Skeletal Muscle Mass Variation in United Kingdom Twins Livshits, Gregory Gao, Fei Malkin, Ida Needhamsen, Maria Xia, Yudong Yuan, Wei Bell, Christopher G. Ward, Kirsten Liu, Yuan Wang, Jun Bell, Jordana T. Spector, Tim D. J Clin Endocrinol Metab Original Articles CONTEXT: Skeletal muscle mass (SMM) is one of the major components of human body composition, with deviations from normal values often leading to sarcopenia. OBJECTIVE: Our major aim was to conduct a genome-wide DNA methylation study in an attempt to identify potential genomic regions associated with SMM. DESIGN: This was a mixed cross-sectional and longitudinal study. SETTING: Community-based study. PARTICIPANTS: A total of 1550 middle-aged United Kingdom twins (monozygotic [MZ] and dizygotic [DZ]), 297 of which were repeatedly measured participated in the study. MAIN OUTCOME MEASURE: Appendicular lean mass assessed using dual-energy X-ray absorptiometry technology, and methylated DNA immunoprecipitation sequencing DNA methylation profiling genome-wide were obtained from each individual. RESULTS: Heritability estimate of SMM, with simultaneous adjustment for covariates obtained using variance decomposition analysis, was h(2) = 0.809 ± 0.050. After quality control and analysis of longitudinal stability, the DNA methylation data comprised of 723 029 genomic sites, with positive correlations between repeated measurements (R(repeated) = 0.114–0.905). Correlations between MZ and DZ twins were 0.51 and 0.38 at a genome-wide average, respectively, and clearly increased with R(repeated). Testing for DNA methylation association with SMM in 50 discordant MZ twins revealed 36 081 nominally significant results, of which the top-ranked 134 signals (P < .01 and R(repeated) > 0.40) were subjected to replication in the sample of 1196 individuals. Seven SMM methylation association signals replicated at a false discovery rate less than 0.1, and these were located in or near genes DNAH12, CAND1, CYP4F29P, and ZFP64, which have previously been highlighted in muscle-related studies. Adjusting for age, smoking, and blood cell heterogeneity did not alter significance of these associations. CONCLUSION: This epigenome-wide study, testing longitudinally stable methylation sites, discovered and replicated a number of associations between DNA methylation at CpG loci and SMM. Four replicated signals were related to genes with potential muscle functions, suggesting that the methylome of whole blood may be informative of SMM variation. Endocrine Society 2016-06 2016-05-04 /pmc/articles/PMC4891794/ /pubmed/27144936 http://dx.doi.org/10.1210/jc.2016-1219 Text en https://creativecommons.org/licenses/by/4.0/ This article has been published under the terms of the Creative Commons Attribution License (CC-BY; https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Copyright for this article is retained by the author(s).
spellingShingle Original Articles
Livshits, Gregory
Gao, Fei
Malkin, Ida
Needhamsen, Maria
Xia, Yudong
Yuan, Wei
Bell, Christopher G.
Ward, Kirsten
Liu, Yuan
Wang, Jun
Bell, Jordana T.
Spector, Tim D.
Contribution of Heritability and Epigenetic Factors to Skeletal Muscle Mass Variation in United Kingdom Twins
title Contribution of Heritability and Epigenetic Factors to Skeletal Muscle Mass Variation in United Kingdom Twins
title_full Contribution of Heritability and Epigenetic Factors to Skeletal Muscle Mass Variation in United Kingdom Twins
title_fullStr Contribution of Heritability and Epigenetic Factors to Skeletal Muscle Mass Variation in United Kingdom Twins
title_full_unstemmed Contribution of Heritability and Epigenetic Factors to Skeletal Muscle Mass Variation in United Kingdom Twins
title_short Contribution of Heritability and Epigenetic Factors to Skeletal Muscle Mass Variation in United Kingdom Twins
title_sort contribution of heritability and epigenetic factors to skeletal muscle mass variation in united kingdom twins
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4891794/
https://www.ncbi.nlm.nih.gov/pubmed/27144936
http://dx.doi.org/10.1210/jc.2016-1219
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