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.

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Autores principales:	Sven E. Ojavee, Athanasios Kousathanas, Daniel Trejo Banos, Etienne J. Orliac, Marion Patxot, Kristi Läll, Reedik Mägi, Krista Fischer, Zoltan Kutalik, Matthew R. Robinson
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/98babe5c070d44148cee67c1123085fa
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spelling	oai:doaj.org-article:98babe5c070d44148cee67c1123085fa2021-12-02T18:28:37ZGenomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis10.1038/s41467-021-22538-w2041-1723https://doaj.org/article/98babe5c070d44148cee67c1123085fa2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22538-whttps://doaj.org/toc/2041-1723Few 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.Sven E. OjaveeAthanasios KousathanasDaniel Trejo BanosEtienne J. OrliacMarion PatxotKristi LällReedik MägiKrista FischerZoltan KutalikMatthew R. RobinsonNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Sven E. Ojavee Athanasios Kousathanas Daniel Trejo Banos Etienne J. Orliac Marion Patxot Kristi Läll Reedik Mägi Krista Fischer Zoltan Kutalik Matthew R. Robinson Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis
description	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.
format	article
author	Sven E. Ojavee Athanasios Kousathanas Daniel Trejo Banos Etienne J. Orliac Marion Patxot Kristi Läll Reedik Mägi Krista Fischer Zoltan Kutalik Matthew R. Robinson
author_facet	Sven E. Ojavee Athanasios Kousathanas Daniel Trejo Banos Etienne J. Orliac Marion Patxot Kristi Läll Reedik Mägi Krista Fischer Zoltan Kutalik Matthew R. Robinson
author_sort	Sven E. Ojavee
title	Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis
title_short	Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis
title_full	Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis
title_fullStr	Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis
title_full_unstemmed	Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis
title_sort	genomic architecture and prediction of censored time-to-event phenotypes with a bayesian genome-wide analysis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/98babe5c070d44148cee67c1123085fa
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Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis

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