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Meta-Analysis
. 2021 Jan 28;12(1):654.
doi: 10.1038/s41467-021-20918-w.

Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women

Garan Jones #  1 Katerina Trajanoska #  2   3 Adam J Santanasto #  4 Najada Stringa #  5 Chia-Ling Kuo #  6 Janice L Atkins #  1 Joshua R Lewis  7   8   9 ThuyVy Duong  10 Shengjun Hong  11 Mary L Biggs  12 Jian'an Luan  13 Chloe Sarnowski  14 Kathryn L Lunetta  14 Toshiko Tanaka  15 Mary K Wojczynski  16 Ryan Cvejkus  4 Maria Nethander  17   18 Sahar Ghasemi  19   20 Jingyun Yang  21 M Carola Zillikens  2 Stefan Walter  22   23 Kamil Sicinski  24 Erika Kague  25 Cheryl L Ackert-Bicknell  26 Dan E Arking  10 B Gwen Windham  27 Eric Boerwinkle  28   29 Megan L Grove  28 Misa Graff  30 Dominik Spira  31   32 Ilja Demuth  31   32   33 Nathalie van der Velde  34 Lisette C P G M de Groot  35 Bruce M Psaty  36   37 Michelle C Odden  38 Alison E Fohner  39 Claudia Langenberg  13 Nicholas J Wareham  13 Stefania Bandinelli  40 Natasja M van Schoor  5 Martijn Huisman  5 Qihua Tan  41 Joseph Zmuda  4 Dan Mellström  17   42 Magnus Karlsson  43 David A Bennett  21 Aron S Buchman  21 Philip L De Jager  44   45 Andre G Uitterlinden  2 Uwe Völker  46 Thomas Kocher  47 Alexander Teumer  20 Leocadio Rodriguéz-Mañas  23   48 Francisco J García  23   49 José A Carnicero  23 Pamela Herd  50 Lars Bertram  11 Claes Ohlsson  17   51 Joanne M Murabito  52 David Melzer  1 George A Kuchel  53 Luigi Ferrucci  54 David Karasik  55   56 Fernando Rivadeneira  2   3 Douglas P Kiel  57 Luke C Pilling  58
Affiliations
Meta-Analysis

Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women

Garan Jones et al. Nat Commun. .

Abstract

Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1 p = 4 × 10-17), arthritis (GDF5 p = 4 × 10-13), cell cycle control and cancer protection, regulation of transcription, and others involved in the development and maintenance of the musculoskeletal system. Using Mendelian randomization we report possible overlapping causal pathways, including diabetes susceptibility, haematological parameters, and the immune system. We conclude that muscle weakness in older adults has distinct mechanisms from continuous strength, including several pathways considered to be hallmarks of ageing.

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Conflict of interest statement

D.P.K. is a consultant for Solarea Bio, received institutional grants from Amgen and Radius Health, and received royalties for publication Wolters Kluwer. M.C.O. serves as a consultant for Cricket Health, a kidney care company. B.M.P. serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. All other authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Manhattan plot of low grip strength genome-wide association study -log10 p values.
The p values are from a fixed-effects meta-analysis of 256,523 Europeans aged 60 or older from 22 cohorts. The outcome was low hand grip strength grip strength cutoff (males <30 Kg, females <20 Kg). The x-axis is the chromosomal location, and the y-axis is the –log10 p value for each genetic variant. The horizontal red line is the threshold for genome-wide significance (p < 5 × 10−8). Fifteen genomic loci cross the threshold, and the lead variant (most significantly associated with low strength) is described in Table 1. The nearest gene is displayed for each locus.
Fig. 2
Fig. 2. Low grip strength genetic correlations with ten common diseases and five anthropometric traits.
Genome-wide genetic correlations between low muscle strength and published summary statistics for common age-related diseases and low muscle strength risk factors. N = meta-analysis of 256,523 Europeans (biologically independent samples) aged 60 or older from 22 cohorts. Data presented are genetic correlation (rG) ± 95% Confidence Intervals from LD-Score Regression analysis of 1.2 million SNPs. Full results available in Supplementary Table 5.
Fig. 3
Fig. 3. Traits sharing causal pathways with low grip strength at older ages identified in Mendelian Randomization analysis.
In Mendelian randomization analyses we estimated whether 83 exposures may share causal pathways with low grip strength in people aged 60 and older. Those identified as significant (multiple testing-adjusted p < 0.05) in at least one analysis (all participants, or males or females separately) are included in the figure. *WHR (adj. BMI in Women) = Waist-Hip Ratio SNPs identified in GWAS analysis of females only, adjusted for Body Mass Index. N = meta-analysis of 256,523 Europeans (biologically independent samples) aged 60 or older from 22 cohorts. Data presented as Odds Ratios + /− 95% Confidence Intervals. Unadjusted p value (two-sided) from IVW regression analysis of exposure SNPs effect on low grip strength (EWGSOP definition). Full results of Mendelian randomization available in Supplementary Data 11, 12 and 13.

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