Nature Communications (Dec 2019)

Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke

  • Gad Abraham,
  • Rainer Malik,
  • Ekaterina Yonova-Doing,
  • Agus Salim,
  • Tingting Wang,
  • John Danesh,
  • Adam S. Butterworth,
  • Joanna M. M. Howson,
  • Michael Inouye,
  • Martin Dichgans

DOI
https://doi.org/10.1038/s41467-019-13848-1
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 10

Abstract

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Stroke risk is influenced by genetic and lifestyle factors and previously a genomic risk score (GRS) for stroke was proposed, albeit with limited predictive power. Here, Abraham et al. develop a metaGRS that is composed of several stroke-related GRSs and demonstrate improved predictive power compared with individual GRS or classic risk factors.