The Exome Chip provides a unique opportunity to search for coding variants within known HR loci. Although GWAS analyses typically identify intron or intergenic variants, Exome Chip analysis may identify HR-associated coding variants, which would point to candidate causal genes. We considered all 67 published HR loci [21 previously reported GWAS loci (12) plus 46 recently published loci from UK Biobank (17)] and extracted all SNVs in high LD with the lead variants (r2 ≥ 0.8), tagging the same association signal, restricted to variants covered on the Exome Chip. We further filtered variants to obtain SNVs that reached exome-wide significance for associations with RR-interval in our primary discovery meta-analysis, to ensure that variants have a highly significant association with the trait. Coding SNVs were identified, using the CHARGE Exome Chip annotation file.
