Journal article icon

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 ...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
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
Expand authors...
Danish National Research Foundation More from this funder
Australian National Health and Medical Research Council More from this funder
Victorian Government More from this funder
Expand funders...
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
Source identifiers:
713267
Language:
English
Pubs id:
pubs:713267
UUID:
uuid:cf16bdee-32fe-49f6-a9d3-0676fb9590aa
Local pid:
pubs:713267
Deposit date:
2017-09-07

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP