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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Detaylı Bibliyografya
Yayımlandı:Nat Commun
Asıl Yazarlar: Ojavee, Sven E., Kousathanas, Athanasios, Trejo Banos, Daniel, Orliac, Etienne J., Patxot, Marion, Läll, Kristi, Mägi, Reedik, Fischer, Krista, Kutalik, Zoltan, Robinson, Matthew R.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Publishing Group UK 2021
Konular:
Article
Online Erişim: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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