Literature DB >> 33674626

Variants in NEB and RIF1 genes on chr2q23 are associated with skeletal muscle index in Koreans: genome-wide association study.

Kyung Jae Yoon1,2,3,4, Youbin Yi1, Jong Geol Do1, Hyung-Lae Kim5, Yong-Taek Lee6,7, Han-Na Kim8,9.   

Abstract

Although skeletal muscle plays a crucial role in metabolism and influences aging and chronic diseases, little is known about the genetic variations with skeletal muscle, especially in the Asian population. We performed a genome-wide association study in 2,046 participants drawn from a population-based study. Appendicular skeletal muscle mass was estimated based on appendicular lean soft tissue measured with a multi-frequency bioelectrical impedance analyzer and divided by height squared to derive the skeletal muscle index (SMI). After conducting quality control and imputing the genotypes, we analyzed 6,391,983 autosomal SNPs. A genome-wide significant association was found for the intronic variant rs138684936 in the NEB and RIF1 genes (β = 0.217, p = 6.83 × 10-9). These two genes are next to each other and are partially overlapped on chr2q23. We conducted extensive functional annotations to gain insight into the directional biological implication of significant genetic variants. A gene-based analysis identified the significant TNFSF9 gene and confirmed the suggestive association of the NEB gene. Pathway analyses showed the significant association of regulation of multicellular organism growth gene-set and the suggestive associations of pathways related to skeletal system development or skeleton morphogenesis with SMI. In conclusion, we identified a new genetic locus on chromosome 2 for SMI with genome-wide significance. These results enhance the biological understanding of skeletal muscle mass and provide specific leads for functional experiments.

Entities:  

Year:  2021        PMID: 33674626     DOI: 10.1038/s41598-021-82003-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  45 in total

1.  Heritability of body composition measured by DXA in the diabetes heart study.

Authors:  Fang-Chi Hsu; Leon Lenchik; Barbara J Nicklas; Kurt Lohman; Thomas C Register; Josyf Mychaleckyj; Carl D Langefeld; Barry I Freedman; Donald W Bowden; J Jeffrey Carr
Journal:  Obes Res       Date:  2005-02

2.  Optimal cutoffs for low skeletal muscle mass related to cardiovascular risk in adults: The Korea National Health and Nutrition Examination Survey 2009-2010.

Authors:  Yirang Kim; Byoung-Duck Han; Kyungdo Han; Koh Eun Shin; Halla Lee; Tae Ri Kim; Kyung Hwan Cho; Do Hoon Kim; Yang Hyun Kim; Hyunjin Kim; Ga Eun Nam
Journal:  Endocrine       Date:  2015-04-11       Impact factor: 3.633

3.  Relative muscle mass is inversely associated with insulin resistance and prediabetes. Findings from the third National Health and Nutrition Examination Survey.

Authors:  Preethi Srikanthan; Arun S Karlamangla
Journal:  J Clin Endocrinol Metab       Date:  2011-07-21       Impact factor: 5.958

4.  Sarcopenia in Asia: consensus report of the Asian Working Group for Sarcopenia.

Authors:  Liang-Kung Chen; Li-Kuo Liu; Jean Woo; Prasert Assantachai; Tung-Wai Auyeung; Kamaruzzaman Shahrul Bahyah; Ming-Yueh Chou; Liang-Yu Chen; Pi-Shan Hsu; Orapitchaya Krairit; Jenny S W Lee; Wei-Ju Lee; Yunhwan Lee; Chih-Kuang Liang; Panita Limpawattana; Chu-Sheng Lin; Li-Ning Peng; Shosuke Satake; Takao Suzuki; Chang Won Won; Chih-Hsing Wu; Si-Nan Wu; Teimei Zhang; Ping Zeng; Masahiro Akishita; Hidenori Arai
Journal:  J Am Med Dir Assoc       Date:  2014-02       Impact factor: 4.669

5.  Cross-calibration of eight-polar bioelectrical impedance analysis versus dual-energy X-ray absorptiometry for the assessment of total and appendicular body composition in healthy subjects aged 21-82 years.

Authors:  M Malavolti; C Mussi; M Poli; A L Fantuzzi; G Salvioli; N Battistini; G Bedogni
Journal:  Ann Hum Biol       Date:  2003 Jul-Aug       Impact factor: 1.533

6.  Genome-wide association and replication studies identified TRHR as an important gene for lean body mass.

Authors:  Xiao-Gang Liu; Li-Jun Tan; Shu-Feng Lei; Yong-Jun Liu; Hui Shen; Liang Wang; Han Yan; Yan-Fang Guo; Dong-Hai Xiong; Xiang-Ding Chen; Feng Pan; Tie-Lin Yang; Yin-Ping Zhang; Yan Guo; Nelson L Tang; Xue-Zhen Zhu; Hong-Yi Deng; Shawn Levy; Robert R Recker; Christopher J Papasian; Hong-Wen Deng
Journal:  Am J Hum Genet       Date:  2009-03-05       Impact factor: 11.025

7.  Grip strength predicts cause-specific mortality in middle-aged and elderly persons.

Authors:  Hideo Sasaki; Fumiyoshi Kasagi; Michiko Yamada; Shoichiro Fujita
Journal:  Am J Med       Date:  2007-04       Impact factor: 4.965

8.  Suggestion of GLYAT gene underlying variation of bone size and body lean mass as revealed by a bivariate genome-wide association study.

Authors:  Yan-Fang Guo; Li-Shu Zhang; Yong-Jun Liu; Hong-Gang Hu; Jian Li; Qing Tian; Ping Yu; Feng Zhang; Tie-Lin Yang; Yan Guo; Xiang-Lei Peng; Meng Dai; Wei Chen; Hong-Wen Deng
Journal:  Hum Genet       Date:  2012-10-30       Impact factor: 4.132

9.  Is grip strength a good marker of physical performance among community-dwelling older people?

Authors:  P J Stevens; H E Syddall; H P Patel; H J Martin; C Cooper; A Aihie Sayer
Journal:  J Nutr Health Aging       Date:  2012       Impact factor: 4.075

10.  Sarcopenia: revised European consensus on definition and diagnosis.

Authors:  Alfonso J Cruz-Jentoft; Gülistan Bahat; Jürgen Bauer; Yves Boirie; Olivier Bruyère; Tommy Cederholm; Cyrus Cooper; Francesco Landi; Yves Rolland; Avan Aihie Sayer; Stéphane M Schneider; Cornel C Sieber; Eva Topinkova; Maurits Vandewoude; Marjolein Visser; Mauro Zamboni
Journal:  Age Ageing       Date:  2019-01-01       Impact factor: 10.668

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.