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

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

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.

Bibliographic Details
Main Authors: Sven E. Ojavee, Athanasios Kousathanas, Daniel Trejo Banos, Etienne J. Orliac, Marion Patxot, Kristi Läll, Reedik Mägi, Krista Fischer, Zoltan Kutalik, Matthew R. Robinson
Format: Article
Language:English
Published: Nature Publishing Group 2021-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-22538-w

Internet

https://doi.org/10.1038/s41467-021-22538-w

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