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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Identifiers and source
- Literature Corpus work
- 5600fba8-5a5e-5841-b48b-7aed49ddcfb8
- DOI
- 10.1101/2020.09.04.20188441
