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Common variants in RYR1 are associated with left ventricular hypertrophy assessed by electrocardiogram.

Authors
 Kyung-Won Hong ; Dong-Jik Shin ; Bermseok Oh ; Yangsoo Jang ; Chol Shin ; Ji-Eun Lim ; Min-Jin Go ; Nak-Hoon Son ; Sang-Hak Lee 
Citation
 European Heart Journal, Vol.33(10) : 1250~1256, 2012 
Journal Title
 European Heart Journal 
ISSN
 0195-668X 
Issue Date
2012
Abstract
AIMS: To identify the genetic risk factors that influence the development of electrocardiographic (ECG) left ventricular hypertrophy (LVH), a major risk factor for cardiovascular (CV) morbidity and mortality. METHODS AND RESULTS: We performed a genomewide association study (GWAS) of ECG-LVH, in which the community-based Korea Association REsource (KARE) study (8432 controls and 398 cases) was analysed by Affymetrix SNP array 5.0. The GWAS results were validated in hospital-based samples (597 controls and 207 cases). Fourteen single-nucleotide polymorphisms (SNPs) in eight genetic loci (5q35.1, 6p22.3-22.1, 8q24.2, 11p15, 11q21-22.1, 14q12, 17q11.2, and 19q13.1) were associated with ECG-LVH in the original GWAS study (P < 1 × 10(-5)). Of these SNPs, 12 were genotyped in the hospital sample. There was consistent association with the 19q13.1 region which contains RYR1 gene. The most significant SNP in the region was rs10500279, which had genomewide significance in the combined GWAS/replication sample [odds ratio = 1.58 (confidence interval: 1.35-1.85), P = 1.0 × 10(-8)]. Mutations in RYR1, which encodes a major Ca(2+) channel in the skeletal muscle, have been reported to correlate with CV diseases. CONCLUSION: We performed the first GWAS for ECG-LVH, implicating the skeletal muscle Ca(2+) channel protein RYR1 as a genetic risk factor. These results might increase our understanding of the development of ECG-LVH.
URI
http://ir.ymlib.yonsei.ac.kr/handle/22282913/90182
DOI
10.1093/eurheartj/ehr267
Appears in Collections:
1. 연구논문 > 5. Research Institutes > Yonsei Cardiovascular Research Institute
1. 연구논문 > 1. College of Medicine > Dept. of Biostatistics
1. 연구논문 > 1. College of Medicine > Dept. of Internal Medicine
Yonsei Authors
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