Login / Signup

Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks.

Lars G FritscheKisung NamJiacong DuRitoban KunduMaxwell SalvatoreXu ShiSeunggeun LeeStephen BurgessBhramar Mukherjee
Published in: PLoS genetics (2023)
By employing PRS as a proxy for COVID-19 severity, we corroborated known risk factors and identified novel associations between pre-existing clinical phenotypes and COVID-19 severity. Our study highlights the potential value of using PRS when actual outcome data may be limited or inadequate for robust analyses.
Keyphrases
  • coronavirus disease
  • sars cov
  • risk factors
  • respiratory syndrome coronavirus
  • machine learning
  • risk assessment
  • artificial intelligence
  • deep learning
  • human health