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Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK Biobank

08:01 EDT 24 Aug 2017 | Nature Publishing

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.

Original Article: Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK Biobank

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