| Title: | Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK Biobank |
| Journal: | Nature Genetics |
| Published: | 31 Jul 2017 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/28759005/ |
| DOI: | https://doi.org/10.1038/ng.3926 |
| URL: | https://europepmc.org/articles/pmc5580804?pdf=render |
| Citations: | 60 (9 in last 2 years) as of 8 Aug 2024 |
Publication 4339
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Abstract
Gil McVean and colleagues present a new Bayesian analysis framework that exploits the hierarchical structure of diagnosis classifications to analyze genetic variants against UK Biobank disease phenotypes derived from self-reporting and hospital episode statistics. Their method displays increased power to detect genetic effects over other approaches and identifies novel associations between classical HLA alleles and common immune-mediated diseases.10 Authors
- Adrian Cortes
- Calliope A Dendrou
- Allan Motyer
- Luke Jostins
- Damjan Vukcevic
- Alexander Dilthey
- Peter Donnelly
- Stephen Leslie
- Lars Fugger
- Gil McVean
Enabling scientific discoveries that improve human health