Systematic single-variant and gene-based association testing of 3,700 phenotypes in 281,850 UK Biobank exomes
Katherine R Chao,
Julia K Goodrich,
Hye In Kim,
A Jason Grundstad,
Paola G Bronson,
Jacqueline I Goldstein,
Duncan S Palmer,
Daniel P Howrigan,
Nicholas A Watts,
Laura D Gauthier,
Daniel G MacArthur,
Heidi L Rehm,
J Wade Davis,
Melissa R. Miller,
Benjamin M Neale
Posted 23 Jun 2021
medRxiv DOI: 10.1101/2021.06.19.21259117
Posted 23 Jun 2021
Genome-wide association studies have successfully discovered thousands of common variants associated with human diseases and traits, but the landscape of rare variation in human disease has not been explored at scale. Exome sequencing studies of population biobanks provide an opportunity to systematically evaluate the impact of rare coding variation across a wide range of phenotypes to discover genes and allelic series relevant to human health and disease. Here, we present results from systematic association analyses of 3,700 phenotypes using single-variant and gene tests of 281,850 individuals in the UK Biobank with exome sequence data. We find that the discovery of genetic associations is tightly linked to frequency as well as correlated with metrics of deleteriousness and natural selection. We highlight biological findings elucidated by these data and release the dataset as a public resource alongside a browser framework for rapidly exploring rare variant association results.
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