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Article

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

2020-09-07

Abstract excerpt

Here, we develop a Bayesian approach (BayesW) that provides probabilistic inference of the genetic architecture of age-at-diagnosis of disease and time-to-event phenotypes. We show in extensive simulation work that our method provides insight into genetic effects underlying disease progression, achieving a greater number of discoveries, better model performance and improved genomic prediction as compared to other...

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Literature Corpus work
5600fba8-5a5e-5841-b48b-7aed49ddcfb8
DOI
10.1101/2020.09.04.20188441
Open publication

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Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysisDOI 10.1101/2020.09.04.20188441
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