Gene-based map of cardiovascular diseases

Background: Rare coding variants contribute to cardiovascular disease, but their effects across disease groups remain incompletely characterized. In particular, the influence of functionally and clinically informed variant classification and sex-specific genetic effects on gene-phenotype associations remains understudied. Methods: We analyzed whole-genome sequencing data from up to 483,311 UK Biobank participants across six genetic ancestry groups and eight cardiovascular phenotype groups. Gene-burden testing integrated state-of-the-art missense classification and predicted pathogenic germline

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