UGI News
- Article: Four Genetic Loci Influencing Electrocardiographic Indices of Left Ventricular Hypertrophy
- UCL student Anna Rose has been awarded the Tony Jackson Memorial Prize for 2011
- A matter of priorities: Bacteria evolved way to safeguard crucial genetic material, Prof Nick Luscombe publishes in Nature
- Article: How a mother's genes can increase birth weight
- Research paper: X-linked megalocornea caused by mutations in CHRDL1 identifies an essential role for ventroptin in anterior segment development
- Direct observation of the interconversion of normal and pathogenic forms of α-synuclein, Prof Nick Wood publishes in Cell
- 4 Scholarships available for MSc in Genetics of Human Disease
- UGI's Prof Andres Ruiz-Linares reports in Nature Native Americans descend from three key migrations
- UGI's Prof Francois Balloux co-authors paper on genetics and climate reconstructions to track the global spread of modern humans out of Africa
- Vacancy: Research Associate in Statistical Genetics
- Nick Luscombe publishes in Cell
- Blood screening that is preventing heart attacks–but not in England, Prof Humphries is mentioned in a Guardian article
- Study questions effectiveness of genetic testing strategy for inherited high cholesterol, Steve Humphries publishes in The Lancet
- Nick Luscombe elected to EMBO
- BHF Grant awarded to Dr Ruth Lovering
Article: Four Genetic Loci Influencing Electrocardiographic Indices of Left Ventricular Hypertrophy
17 January 2012
Below is an abstract of a paper recently published by Sonia Shah from UGI. The full article can be found here.
Background—Presence of left ventricular hypertrophy on an ECG (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 4 commonly measured indices of ECG-LVH.
Methods and Results—We calculated the 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 customized 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 4 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 the 12-lead QRS voltage sum. The odds ratio of being in the top decile for the 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 to 1 alleles was 1.60 (95% CI: 1.20 to 2.29). Lead single-nucleotide polymorphisms at the 12q13.3 and 15q25.2 loci showed significant expression quantitative trait loci 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.
Page last modified on 17 jan 12 12:55
