TY - JOUR
T1 - Four genetic loci influencing electrocardiographic indices of left ventricular hypertrophy
AU - Shah, Sonia
AU - Nelson, Christopher P.
AU - Gaunt, Tom R.
AU - Van Der Harst, Pim
AU - Barnes, Timothy
AU - Braund, Peter S.
AU - Lawlor, Debbie A.
AU - Casas, Juan Pablo
AU - Padmanabhan, Sandosh
AU - Drenos, Fotios
AU - Kivimaki, Mika
AU - Talmud, Philippa J.
AU - Humphries, Steve E.
AU - Whittaker, John
AU - Morris, Richard W.
AU - Whincup, Peter H.
AU - Dominiczak, Anna
AU - Munroe, Patricia B.
AU - Johnson, Toby
AU - Goodall, Alison H.
AU - Cambien, Francois
AU - Diemert, Patrick
AU - Hengstenberg, Christian
AU - Ouwehand, Willem H.
AU - Felix, Janine F.
AU - Glazer, Nicole L.
AU - Tomaszewski, Maciej
AU - Burton, Paul R.
AU - Tobin, Martin D.
AU - Van Veldhuisen, Dirk J.
AU - De Boer, Rudolf A.
AU - Navis, Gerjan
AU - Van Gilst, Wiek H.
AU - Mayosi, Bongani M.
AU - Thompson, John R.
AU - Kumari, Meena
AU - MacFarlane, Peter W.
AU - Day, Ian N.M.
AU - Hingorani, Aroon D.
AU - Samani, Nilesh J.
PY - 2011/9/30
Y1 - 2011/9/30
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84863393615&partnerID=8YFLogxK
U2 - 10.1161/CIRCGENETICS.111.960203
DO - 10.1161/CIRCGENETICS.111.960203
M3 - Article
C2 - 21965548
AN - SCOPUS:84863393615
SN - 1942-325X
VL - 4
SP - 626
EP - 635
JO - Circulation: Cardiovascular Genetics
JF - Circulation: Cardiovascular Genetics
IS - 6
ER -