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Bayesian approach to assessing population differences in genetic risk of disease with application to prostate cancer.

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Title: Bayesian approach to assessing population differences in genetic risk of disease with application to prostate cancer.
Authors: Timmins IR; Department of Population Health Sciences, University of Leicester, Leicester, United Kingdom.; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom.; Statistical Innovation, AstraZeneca, Cambridge, United Kingdom., Dudbridge F; Department of Population Health Sciences, University of Leicester, Leicester, United Kingdom.
Corporate Authors: PRACTICAL Consortium
Source: PLoS genetics [PLoS Genet] 2024 Apr 17; Vol. 20 (4), pp. e1011212. Date of Electronic Publication: 2024 Apr 17 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7404 (Electronic) Linking ISSN: 15537390 NLM ISO Abbreviation: PLoS Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1371/journal.pgen.1011212
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      – TitleFull: Bayesian approach to assessing population differences in genetic risk of disease with application to prostate cancer.
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              Text: 2024 Apr 17
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