Journal article
Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK Biobank.
- Abstract:
-
Genetic discovery from the multitude of phenotypes extractable from routine healthcare data can transform understanding of the human phenome and accelerate progress toward precision medicine. However, a critical question when analyzing high-dimensional and heterogeneous data is how best to interrogate increasingly specific subphenotypes while retaining statistical power to detect genetic associations. Here we develop and employ a new Bayesian analysis framework that exploits the hierarchical ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Funding
Takeda Ltd
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Victorian Government
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Australian National Health and Medical Research Council
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Bibliographic Details
- Publisher:
- Nature Publishing Group Publisher's website
- Journal:
- Nature Genetics Journal website
- Volume:
- 49
- Pages:
- 1311-1318
- Publication date:
- 2017-07-31
- Acceptance date:
- 2017-07-06
- DOI:
- EISSN:
-
1546-1718
- ISSN:
-
1061-4036
- Pmid:
-
28759005
Item Description
- Language:
- English
- Pubs id:
-
pubs:713267
- UUID:
-
uuid:cf16bdee-32fe-49f6-a9d3-0676fb9590aa
- Local pid:
- pubs:713267
- Source identifiers:
-
713267
- Deposit date:
- 2017-09-07
Terms of use
- Copyright holder:
- Nature America, Inc
- Copyright date:
- 2017
- Rights statement:
- © 2017 Nature America, Inc., part of Springer Nature. All rights reserved.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Springer Nature at: https://doi.org/10.1038/ng.3926
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