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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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Publisher copy:
10.1038/ng.3926

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Kennedy Institute for Rheumatology
Role:
Author
Victorian Government More from this funder
Australian National Health and Medical Research Council More from this funder
Publisher:
Nature Publishing Group
Journal:
Nature Genetics More from this journal
Volume:
49
Pages:
1311-1318
Publication date:
2017-07-31
Acceptance date:
2017-07-06
DOI:
EISSN:
1546-1718
ISSN:
1061-4036
Pmid:
28759005
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

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