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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Detalhes bibliográficos
Publicado no:Nat Commun
Main Authors: Ojavee, Sven E., Kousathanas, Athanasios, Trejo Banos, Daniel, Orliac, Etienne J., Patxot, Marion, Läll, Kristi, Mägi, Reedik, Fischer, Krista, Kutalik, Zoltan, Robinson, Matthew R.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
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Article
Acesso em linha: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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