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. |
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| 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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| ISSN: | 1553-7404 |
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| DOI: | 10.1371/journal.pgen.1011212 |
