<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>24(2)</volume><submitter>Korostishevsky M</submitter><funding>National Institute for Health Research (NIHR)</funding><funding>Wellcome Trust</funding><pubmed_abstract>The contribution of specific molecular-genetic factors to muscle mass variation and sarcopenia remains largely unknown. To identify endogenous molecules and specific genetic factors associated with appendicular lean mass (APLM) in the general population, cross-sectional data from the TwinsUK Adult Twin Registry were used. Non-targeted mass spec-based metabolomic profiling was performed on plasma of 3953 females (mostly dizygotic and monozygotic twins). APLM was measured using dual-energy X-ray absorptiometry (DXA) and genotyping was genome-wide (GWAS). Specific metabolites were used as intermediate phenotypes in the identification of single-nucleotide polymorphisms associated with APLM using GWAS. In all, 162 metabolites were found significantly correlated with APLM, and explained 17.4% of</pubmed_abstract><journal>European journal of human genetics : EJHG</journal><pagination>277-83</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4717207</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Genomics and metabolomics of muscular mass in a community-based sample of UK females.</pubmed_title><pmcid>PMC4717207</pmcid><pubmed_authors>Korostishevsky M</pubmed_authors><pubmed_authors>Malkin I</pubmed_authors><pubmed_authors>Williams FM</pubmed_authors><pubmed_authors>Steves CJ</pubmed_authors><pubmed_authors>Livshits G</pubmed_authors><pubmed_authors>Spector T</pubmed_authors></additional><is_claimable>false</is_claimable><name>Genomics and metabolomics of muscular mass in a community-based sample of UK females.</name><description>The contribution of specific molecular-genetic factors to muscle mass variation and sarcopenia remains largely unknown. To identify endogenous molecules and specific genetic factors associated with appendicular lean mass (APLM) in the general population, cross-sectional data from the TwinsUK Adult Twin Registry were used. Non-targeted mass spec-based metabolomic profiling was performed on plasma of 3953 females (mostly dizygotic and monozygotic twins). APLM was measured using dual-energy X-ray absorptiometry (DXA) and genotyping was genome-wide (GWAS). Specific metabolites were used as intermediate phenotypes in the identification of single-nucleotide polymorphisms associated with APLM using GWAS. In all, 162 metabolites were found significantly correlated with APLM, and explained 17.4% of</description><dates><release>2016-01-01T00:00:00Z</release><publication>2016 Feb</publication><modification>2026-05-05T18:39:34.481Z</modification><creation>2019-03-27T02:07:05Z</creation></dates><accession>S-EPMC4717207</accession><cross_references><pubmed>25898920</pubmed><doi>10.1038/ejhg.2015.85</doi></cross_references></HashMap>