medRxivJClub
Gene-based map of cardiovascular diseases
medRxiv · · Preprint · Open access
Ozcelik, Kayaalp + 1 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Missense- and pathogenic-variant burden testing in up to 483,311 UK Biobank participants identified 86 exome-wide significant cardiovascular gene–phenotype associations, including 46 novel links.
- Why it matters: Rare coding variants likely contribute to cardiovascular disease, but how functionally informed variant classification and sex-specific effects shape gene–phenotype associations across disease groups is not well characterized.
- What they did: Whole-genome sequencing from up to 483,311 UK Biobank participants across six ancestry groups and eight cardiovascular phenotypes was analyzed with state-of-the-art missense classification and predicted pathogenic germline variants, using combined-sex and sex-stratified tests plus cross-ancestry meta-analysis.
- The result: After cardiometabolic adjustment, 60 associations remained exome-wide significant and 18 additional associations emerged, and penetrance estimates among qualifying-variant carriers showed variant selection affects interpretation of inherited susceptibility.
The findingWhy it mattersWhat they didThe result
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