Abstract

Appendicular lean mass (ALM) is a heritable trait associated with loss of lean muscle mass and strength, or sarcopenia, but its genetic determinants are largely unknown. Here we conducted a genome-wide association study (GWAS) with 450,243 UK Biobank participants to uncover its genetic architecture. A total of 1059 conditionally independent variants from 799 loci were identified at the genome-wide significance level (p < 5 × 10−9), all of which were also significant at p < 5 × 10–5 in both sexes. These variants explained ~15.5% of the phenotypic variance, accounting for more than one quarter of the total ~50% GWAS-attributable heritability. There was no difference in genetic effect between sexes or among different age strata. Heritability was enriched in certain functional categories, such as conserved and coding regions, and in tissues related to the musculoskeletal system. Polygenic risk score prediction well distinguished participants with high and low ALM. The findings are important not only for lean mass but also for other complex diseases, such as type 2 diabetes, as ALM is shown to be a protective factor for type 2 diabetes.

Here, the authors report a genome-wide association study for appendicular lean mass using more than 450,000 participants in the UK Biobank Study. They identify 799 loci at genome-wide significance, explaining over 15% of phenotypic variance and >25% of the heritability, allowing the authors to uncover the genetic architecture of this sarcopenia-related trait.

Details

Title
The genetic architecture of appendicular lean mass characterized by association analysis in the UK Biobank study
Author
Yu-Fang, Pei 1   VIAFID ORCID Logo  ; Yao-Zhong, Liu 2 ; Xiao-Lin, Yang 3   VIAFID ORCID Logo  ; Zhang, Hong 4 ; Gui-Juan, Feng 1 ; Xin-Tong, Wei 1 ; Zhang, Lei 4   VIAFID ORCID Logo 

 School of Public Health, Medical College of Soochow University, Department of Epidemiology and Health Statistics, Soochow, PR China (GRID:grid.263761.7) (ISNI:0000 0001 0198 0694); Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Soochow, PR China (GRID:grid.263761.7) (ISNI:0000 0001 0198 0694) 
 Tulane University School of Public Health and Tropical Medicine, Department of Biostatistics and Data Science, New Orleans, USA (GRID:grid.265219.b) (ISNI:0000 0001 2217 8588) 
 The Affiliated Hospital of Yangzhou University, Yangzhou University, Department of Research, Yangzhou, PR China (GRID:grid.268415.c) 
 Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Soochow, PR China (GRID:grid.263761.7) (ISNI:0000 0001 0198 0694); Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Soochow, PR China (GRID:grid.263761.7) (ISNI:0000 0001 0198 0694) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
23993642
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2471520582
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.