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. 2016 Jun;101(6):2450-9.
doi: 10.1210/jc.2016-1219. Epub 2016 May 4.

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

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

Gregory Livshits et al. J Clin Endocrinol Metab. 2016 Jun.

Abstract

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 (Rrepeated = 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 Rrepeated. 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 Rrepeated > 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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Figures

Figure 1.
Figure 1.
Pairwise scatterplots of correlation coefficients between the Rrepeated, RMZ, and RDZ for the chromosomes of different size. Rrepeated, longitudinal correlations between the repeated methylation measurements per bin. RMZ and RDZ are intrapair correlations methylation levels per bin between the MZ and DZ twins. Columns A–C show correlation of Rrepeated with RMZ and RDZ and between RMZ and RDZ for the selected chromosomes.
Figure 2.
Figure 2.
Dependence of RMZ to RDZ ratio on RRepeated. Rrepeated, longitudinal correlations between the repeated methylation measurements per bin. RMZ and RDZ are intrapair correlations methylation levels per bin between the MZ and DZ twins.

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