Nature Communications (Apr 2021)

Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis

  • Sven E. Ojavee,
  • Athanasios Kousathanas,
  • Daniel Trejo Banos,
  • Etienne J. Orliac,
  • Marion Patxot,
  • Kristi Läll,
  • Reedik Mägi,
  • Krista Fischer,
  • Zoltan Kutalik,
  • Matthew R. Robinson

DOI
https://doi.org/10.1038/s41467-021-22538-w
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 17

Abstract

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Few genome-wide association studies have explored the genetic architecture of age-of-onset for traits and diseases. Here, the authors develop a Bayesian approach to improve prediction in timing-related phenotypes and perform age-of-onset analyses across complex traits in the UK Biobank.