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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058085/
https://www.ncbi.nlm.nih.gov/pubmed/33879782
http://dx.doi.org/10.1038/s41467-021-22538-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058085/
https://www.ncbi.nlm.nih.gov/pubmed/33879782
http://dx.doi.org/10.1038/s41467-021-22538-w

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