| 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://www.ncbi.nlm.nih.gov/pmc/articles/5580804 |
| 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.</p>
19 Keywords
- Adult
- Aged
- Alleles
- Bayes Theorem
- Cluster Analysis
- Delivery of Health Care
- Female
- Genetic Association Studies
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- HLA Antigens
- Health Information Systems
- Humans
- International Classification of Diseases
- Logistic Models
- Male
- Middle Aged
- Polymorphism, Single Nucleotide
- United Kingdom
10 Authors
- Adrian Cortes
- Calliope A Dendrou
- Allan Motyer
- Luke Jostins
- Damjan Vukcevic
- Alexander Dilthey
- Peter Donnelly
- Stephen Leslie
- Lars Fugger
- Gil McVean
1 Application
| Application ID | Title |
|---|---|
| 10625 | Determining the effect of immune-mediated disease (IMD) genetic risk variants on secondary health outcomes and their interaction with environmental factors |
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