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

While recent advancements in computation and modelling have improved the analysis of complex traits, our understanding of the genetic basis of the time at symptom onset remains limited. Here, we develop a Bayesian approach (BayesW) that provides probabilistic inference of the genetic architecture of...

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Библиографические подробности
Опубликовано в: :Nat Commun
Главные авторы: Ojavee, Sven E., Kousathanas, Athanasios, Trejo Banos, Daniel, Orliac, Etienne J., Patxot, Marion, Läll, Kristi, Mägi, Reedik, Fischer, Krista, Kutalik, Zoltan, Robinson, Matthew R.
Формат: Artigo
Язык:Inglês
Опубликовано: Nature Publishing Group UK 2021
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Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC8058085/
https://ncbi.nlm.nih.gov/pubmed/33879782
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-22538-w
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