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. 2016 Oct;15(5):792-800.
doi: 10.1111/acel.12468. Epub 2016 Jun 21.

GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium

Amy M Matteini  1 Toshiko Tanaka  2 David Karasik  3   4 Gil Atzmon  5   6 Wen-Chi Chou  3 John D Eicher  7   8 Andrew D Johnson  7   8 Alice M Arnold  9 Michele L Callisaya  10   11 Gail Davies  12   13 Daniel S Evans  14 Birte Holtfreter  15 Kurt Lohman  16 Kathryn L Lunetta  8   17 Massimo Mangino  18   19 Albert V Smith  20 Jennifer A Smith  21 Alexander Teumer  22 Lei Yu  23 Dan E Arking  24 Aron S Buchman  23   25 Lori B Chibinik  26   27 Philip L De Jager  26   27 Denis A Evans  28 Jessica D Faul  29 Melissa E Garcia  30 Irina Gillham-Nasenya  18 Vilmundur Gudnason  20   31 Albert Hofman  32 Yi-Hsiang Hsu  3   33 Till Ittermann  22 Lies Lahousse  32   34 David C Liewald  12 Yongmei Liu  16 Lorna Lopez  13 Fernando Rivadeneira  32   35   36 Jerome I Rotter  37 Kristin Siggeirsdottir  20 John M Starr  12   38 Russell Thomson  11 Gregory J Tranah  14 André G Uitterlinden  32   35   36 Uwe Völker  39 Henry Völzke  22   40   41 David R Weir  29 Kristine Yaffe  42 Wei Zhao  21 Wei Vivian Zhuang  43 Joseph M Zmuda  44 David A Bennett  23 Steven R Cummings  14 Ian J Deary  12   13 Luigi Ferrucci  2 Tamara B Harris  45 Sharon L R Kardia  21 Thomas Kocher  15 Stephen B Kritchevsky  46 Bruce M Psaty  47 Sudha Seshadri  8   48 Timothy D Spector  18 Velandai K Srikanth  10   11 B Gwen Windham  49 M Carola Zillikens  35 Anne B Newman  44 Jeremy D Walston  1 Douglas P Kiel  3 Joanne M Murabito  8   50
Affiliations

GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium

Amy M Matteini et al. Aging Cell. 2016 Oct.

Abstract

Decline in muscle strength with aging is an important predictor of health trajectory in the elderly. Several factors, including genetics, are proposed contributors to variability in muscle strength. To identify genetic contributors to muscle strength, a meta-analysis of genomewide association studies of handgrip was conducted. Grip strength was measured using a handheld dynamometer in 27 581 individuals of European descent over 65 years of age from 14 cohort studies. Genomewide association analysis was conducted on ~2.7 million imputed and genotyped variants (SNPs). Replication of the most significant findings was conducted using data from 6393 individuals from three cohorts. GWAS of lower body strength was also characterized in a subset of cohorts. Two genomewide significant (P-value< 5 × 10(-8) ) and 39 suggestive (P-value< 5 × 10(-5) ) associations were observed from meta-analysis of the discovery cohorts. After meta-analysis with replication cohorts, genomewide significant association was observed for rs752045 on chromosome 8 (β = 0.47, SE = 0.08, P-value = 5.20 × 10(-10) ). This SNP is mapped to an intergenic region and is located within an accessible chromatin region (DNase hypersensitivity site) in skeletal muscle myotubes differentiated from the human skeletal muscle myoblasts cell line. This locus alters a binding motif of the CCAAT/enhancer-binding protein-β (CEBPB) that is implicated in muscle repair mechanisms. GWAS of lower body strength did not yield significant results. A common genetic variant in a chromosomal region that regulates myotube differentiation and muscle repair may contribute to variability in grip strength in the elderly. Further studies are needed to uncover the mechanisms that link this genetic variant with muscle strength.

Keywords: SNP; aging; genomewide association; meta-analysis; muscle strength; older adults.

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Figures

Figure 1
Figure 1
Regional association plots for the most significant associations from the meta‐analysis of handgrip strength in the discovery set. The figures display –log10 P‐values for SNPs that passed quality control for the analysis of handgrip strength for locus on (A) chromosome 7, (B) chromosome 8p23, (C) chromosome 8q12, (D) chromosome 10, and (E) chromosome 11. The degree of linkage disequilibrium (r 2) is displayed in the following categories: r 2 ≥ 0.8, ≥ 0.6, ≥0.4, ≥0.2, and ≥0.

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