A phenome-wide association study of CNVs genotyped from genome sequencing read depth in the UK Biobank

Abstract

Using genome sequencing read depth, we genotyped CNVs within the UK Biobank and performed PheWAS, identifying 501 CNVs associated with 1,537 traits. We detected signals with mosaic, recurrent and multiallelic CNVs that are difficult to genotype using other methods, such as a coding repeat within mucin 1 associated with stomach/duodenal polyps and copy number of salivary amylase genes associated with denture use. We also identified intergenic CNVs with strong effects on traits known to be regulated by nearby genes. For example, carriers of a rare non-coding deletion [~]100-kb upstream of MC4R, coding mutations in which are the most common cause of monogenic obesity, were an average of [~]14 kg heavier than controls. Our study provides a detailed map of functional CNVs, including complex loci that are recalcitrant to other methods, providing numerous insights into their effects on human traits.