Whole-exome sequencing and genome-wide association studies identify novel sarcopenia risk genes in Han Chinese.


Journal

Molecular genetics & genomic medicine
ISSN: 2324-9269
Titre abrégé: Mol Genet Genomic Med
Pays: United States
ID NLM: 101603758

Informations de publication

Date de publication:
08 2020
Historique:
received: 08 09 2019
accepted: 27 03 2020
pubmed: 2 6 2020
medline: 12 5 2021
entrez: 2 6 2020
Statut: ppublish

Résumé

Sarcopenia is a complex polygenic disease, and its molecular mechanism is still unclear. Whole lean body mass (WLBM) is a heritable trait predicting sarcopenia. To identify genomic loci underlying, we performed a whole-exome sequencing (WES) of WLBM variation with high sequencing depth (more than 40*) in 101 Chinese subjects. We then replicated in the major findings in the large-scale UK Biobank (UKB) cohort (N = 217,822) for WLBM. The results of four single-nucleotide polymorphisms (SNPs) were significant both in the discovery stage and replication stage: SNP rs740681 (discovery p = 1.66 × 10

Identifiants

pubmed: 32478482
doi: 10.1002/mgg3.1267
pmc: PMC7434604
doi:

Substances chimiques

Cdh1 Proteins 0
FZR1 protein, human 0
Sterol O-Acyltransferase EC 2.3.1.26

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1267

Subventions

Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom
Organisme : NIAMS NIH HHS
ID : R01 AR069055
Pays : United States
Organisme : NIAMS NIH HHS
ID : R01 AR050496
Pays : United States
Organisme : NIA NIH HHS
ID : U19 AG055373
Pays : United States
Organisme : NIDCR NIH HHS
ID : RC2 DE020756
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG026564
Pays : United States
Organisme : NIAMS NIH HHS
ID : R01 AR057049
Pays : United States
Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom
Organisme : NIAMS NIH HHS
ID : P50 AR055081
Pays : United States
Organisme : FIC NIH HHS
ID : R03 TW008221
Pays : United States

Informations de copyright

© 2020 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, LLC.

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Auteurs

Shu Ran (S)

School of Medical Instruments and Food Engineering, University of Shanghai for Science and Technology, Shanghai, PR China.

Xiao He (X)

School of Medical Instruments and Food Engineering, University of Shanghai for Science and Technology, Shanghai, PR China.

Zi-Xuan Jiang (ZX)

School of Medical Instruments and Food Engineering, University of Shanghai for Science and Technology, Shanghai, PR China.

Yu Liu (Y)

School of Medical Instruments and Food Engineering, University of Shanghai for Science and Technology, Shanghai, PR China.

Yu-Xue Zhang (YX)

School of Medical Instruments and Food Engineering, University of Shanghai for Science and Technology, Shanghai, PR China.

Lei Zhang (L)

Center for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Jiangsu, PR China.
Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Jiangsu, PR China.

Gui-Shan Gu (GS)

Ji Lin University, First Hospital, Changchun, PR China.

Yufang Pei (Y)

Center for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Jiangsu, PR China.

Bao-Lin Liu (BL)

School of Medical Instruments and Food Engineering, University of Shanghai for Science and Technology, Shanghai, PR China.

Qing Tian (Q)

Department of Biostatistics, Tulane University, New Orleans, Louisiana, USA.

Yong-Hong Zhang (YH)

Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Jiangsu, PR China.
Department of Epidemiology and Statistics, School of Public Health, Soochow University, Jiangsu, PR China.

Jing-Yu Wang (JY)

Ji Lin University, First Hospital, Changchun, PR China.

Hong-Wen Deng (HW)

Department of Biostatistics, Tulane University, New Orleans, Louisiana, USA.

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Classifications MeSH