Background
Presence of left ventricular hypertrophy on an electrocardiogram (ECG-LVH) is widely assessed clinically and provides prognostic information in some settings. There is evidence for significant heritability of ECG-LVH. We conducted a large-scale gene-centric association analysis of four commonly measured indices of ECG-LVH.
Methods and Results
We calculated Sokolow-Lyon Index, Cornell Product, 12-lead QRS Voltage Sum and 12-lead QRS Voltage Product in 10,256 individuals from 3 population based cohorts and typed their DNA using a customised gene array (the Illumina HumanCVD BeadChip 50K array) containing 49,094 genetic variants in ~2100 genes of cardiovascular relevance. We followed up promising associations in 11,777 additional individuals. We identified and replicated four loci associated with ECG-LVH indices - 3p22.2 (SCN5A, rs6797133, p=1.22×10−7) with Cornell Product and 12q13.3 (PTGES3, rs2290893, p=3.74×10−8), 15q25.2 (NMB, rs2292462, p=3.23×10−9) and 15q26.3 (IGF1R, rs4966014, p=1.26×10−7) with 12-lead QRS Voltage Sum. The odds ratio of being in the top decile for 12-lead QRS Voltage Sum for those carrying 6 trait-raising alleles at the 12q13.3, 15q25.2 and 15q26.3 loci versus those carrying 0–1 alleles was 1.60 (95% CI: 1.20 – 2.29). Lead SNPs at the 12q13.3 and 15q25.2 loci showed significant eQTL effects in monocytes.
Conclusions
These findings provide novel insights into the genetic determination of ECG-LVH. The findings could help to improve our understanding of the mechanisms determining this prognostically important trait.