Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK Biobank.
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:
- Peer review status:
- Peer reviewed
- Pubs id:
- Local pid:
- Deposit date:
- Copyright holder:
- Nature America, Inc
- Copyright date:
- Rights statement:
- © 2017 Nature America, Inc., part of Springer Nature. All rights reserved.
- 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
If you are the owner of this record, you can report an update to it here: Report update to this record