PLoS ONE (Jan 2021)

Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program.

  • Chloé Sarnowski,
  • Han Chen,
  • Mary L Biggs,
  • Sylvia Wassertheil-Smoller,
  • Jan Bressler,
  • Marguerite R Irvin,
  • Kathleen A Ryan,
  • David Karasik,
  • Donna K Arnett,
  • L Adrienne Cupples,
  • David W Fardo,
  • Stephanie M Gogarten,
  • Benjamin D Heavner,
  • Deepti Jain,
  • Hyun Min Kang,
  • Charles Kooperberg,
  • Arch G Mainous,
  • Braxton D Mitchell,
  • Alanna C Morrison,
  • Jeffrey R O'Connell,
  • Bruce M Psaty,
  • Kenneth Rice,
  • Albert V Smith,
  • Ramachandran S Vasan,
  • B Gwen Windham,
  • Douglas P Kiel,
  • Joanne M Murabito,
  • Kathryn L Lunetta,
  • TOPMed Longevity and Healthy Aging Working Group,
  • from the NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium

DOI
https://doi.org/10.1371/journal.pone.0253611
Journal volume & issue
Vol. 16, no. 7
p. e0253611

Abstract

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Handgrip strength is a widely used measure of muscle strength and a predictor of a range of morbidities including cardiovascular diseases and all-cause mortality. Previous genome-wide association studies of handgrip strength have focused on common variants primarily in persons of European descent. We aimed to identify rare and ancestry-specific genetic variants associated with handgrip strength by conducting whole-genome sequence association analyses using 13,552 participants from six studies representing diverse population groups from the Trans-Omics in Precision Medicine (TOPMed) Program. By leveraging multiple handgrip strength measures performed in study participants over time, we increased our effective sample size by 7-12%. Single-variant analyses identified ten handgrip strength loci among African-Americans: four rare variants, five low-frequency variants, and one common variant. One significant and four suggestive genes were identified associated with handgrip strength when aggregating rare and functional variants; all associations were ancestry-specific. We additionally leveraged the different ancestries available in the UK Biobank to further explore the ancestry-specific association signals from the single-variant association analyses. In conclusion, our study identified 11 new loci associated with handgrip strength with rare and/or ancestry-specific genetic variations, highlighting the added value of whole-genome sequencing in diverse samples. Several of the associations identified using single-variant or aggregate analyses lie in genes with a function relevant to the brain or muscle or were reported to be associated with muscle or age-related traits. Further studies in samples with sequence data and diverse ancestries are needed to confirm these findings.