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Large meta-analysis of genome-wide association studies identifies five loci for lean body mass
- Source :
- Zillikens, MC; Demissie, S; Hsu, YH; Yerges-Armstrong, LM; Chou, WC; Stolk, L; et al.(2017). Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nature Communications, 8(1). doi: 10.1038/s41467-017-00031-7. UCLA: Retrieved from: http://www.escholarship.org/uc/item/92d0g26c
- Publication Year :
- 2017
- Publisher :
- eScholarship, University of California, 2017.
-
Abstract
- © 2017 The Author(s). Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 × 10-8) or suggestively genome wide (p < 2.3 × 10-6). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Zillikens, MC; Demissie, S; Hsu, YH; Yerges-Armstrong, LM; Chou, WC; Stolk, L; et al.(2017). Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nature Communications, 8(1). doi: 10.1038/s41467-017-00031-7. UCLA: Retrieved from: http://www.escholarship.org/uc/item/92d0g26c
- Accession number :
- edsair.od.......325..734a42399d195b9af490c65c8ff3a9c3