BACKGROUND: Recently, genome-wide association studies identified variants on chromosome 9p21.3 as affecting the risk of coronary artery disease (CAD). We investigated the association of this locus with CAD in 7 case-control studies and undertook a meta-analysis. METHODS AND RESULTS: A single-nucleotide polymorphism (SNP), rs1333049, representing the 9p21.3 locus, was genotyped in 7 case-control studies involving a total of 4645 patients with myocardial infarction or CAD and 5177 controls. The mode of inheritance was determined. In addition, in 5 of the 7 studies, we genotyped 3 additional SNPs to assess a risk-associated haplotype (ACAC). Finally, a meta-analysis of the present data and previously published samples was conducted. A limited fine mapping of the locus was performed. The risk allele (C) of the lead SNP, rs1333049, was uniformly associated with CAD in each study (P<0.05). In a pooled analysis, the odds ratio per copy of the risk allele was 1.29 (95% confidence interval, 1.22 to 1.37; P=0.0001). Haplotype analysis further suggested that this effect was not homogeneous across the haplotypic background (test for interaction, P=0.0079). An autosomal-additive mode of inheritance best explained the underlying association. The meta-analysis of the rs1333049 SNP in 12,004 cases and 28,949 controls increased the overall level of evidence for association with CAD to P=6.04x10(-10) (odds ratio, 1.24; 95% confidence interval, 1.20 to 1.29). Genotyping of 31 additional SNPs in the region identified several with a highly significant association with CAD, but none had predictive information beyond that of the rs1333049 SNP. CONCLUSIONS: This broad replication provides unprecedented evidence for association between genetic variants at chromosome 9p21.3 and risk of CAD.
BACKGROUND: Recently, genome-wide association studies identified variants on chromosome 9p21.3 as affecting the risk of coronary artery disease (CAD). We investigated the association of this locus with CAD in 7 case-control studies and undertook a meta-analysis. METHODS AND RESULTS: A single-nucleotide polymorphism (SNP), rs1333049, representing the 9p21.3 locus, was genotyped in 7 case-control studies involving a total of 4645 patients with myocardial infarction or CAD and 5177 controls. The mode of inheritance was determined. In addition, in 5 of the 7 studies, we genotyped 3 additional SNPs to assess a risk-associated haplotype (ACAC). Finally, a meta-analysis of the present data and previously published samples was conducted. A limited fine mapping of the locus was performed. The risk allele (C) of the lead SNP, rs1333049, was uniformly associated with CAD in each study (P<0.05). In a pooled analysis, the odds ratio per copy of the risk allele was 1.29 (95% confidence interval, 1.22 to 1.37; P=0.0001). Haplotype analysis further suggested that this effect was not homogeneous across the haplotypic background (test for interaction, P=0.0079). An autosomal-additive mode of inheritance best explained the underlying association. The meta-analysis of the rs1333049 SNP in 12,004 cases and 28,949 controls increased the overall level of evidence for association with CAD to P=6.04x10(-10) (odds ratio, 1.24; 95% confidence interval, 1.20 to 1.29). Genotyping of 31 additional SNPs in the region identified several with a highly significant association with CAD, but none had predictive information beyond that of the rs1333049 SNP. CONCLUSIONS: This broad replication provides unprecedented evidence for association between genetic variants at chromosome 9p21.3 and risk of CAD.
Authors: Scott Brouilette; Ravi K Singh; John R Thompson; Alison H Goodall; Nilesh J Samani Journal: Arterioscler Thromb Vasc Biol Date: 2003-03-20 Impact factor: 8.311
Authors: Nilesh J Samani; Jeanette Erdmann; Alistair S Hall; Christian Hengstenberg; Massimo Mangino; Bjoern Mayer; Richard J Dixon; Thomas Meitinger; Peter Braund; H-Erich Wichmann; Jennifer H Barrett; Inke R König; Suzanne E Stevens; Silke Szymczak; David-Alexandre Tregouet; Mark M Iles; Friedrich Pahlke; Helen Pollard; Wolfgang Lieb; Francois Cambien; Marcus Fischer; Willem Ouwehand; Stefan Blankenberg; Anthony J Balmforth; Andrea Baessler; Stephen G Ball; Tim M Strom; Ingrid Braenne; Christian Gieger; Panos Deloukas; Martin D Tobin; Andreas Ziegler; John R Thompson; Heribert Schunkert Journal: N Engl J Med Date: 2007-07-18 Impact factor: 91.245
Authors: Michael Preuss; Inke R König; John R Thompson; Jeanette Erdmann; Devin Absher; Themistocles L Assimes; Stefan Blankenberg; Eric Boerwinkle; Li Chen; L Adrienne Cupples; Alistair S Hall; Eran Halperin; Christian Hengstenberg; Hilma Holm; Reijo Laaksonen; Mingyao Li; Winfried März; Ruth McPherson; Kiran Musunuru; Christopher P Nelson; Mary Susan Burnett; Stephen E Epstein; Christopher J O'Donnell; Thomas Quertermous; Daniel J Rader; Robert Roberts; Arne Schillert; Kari Stefansson; Alexandre F R Stewart; Gudmar Thorleifsson; Benjamin F Voight; George A Wells; Andreas Ziegler; Sekar Kathiresan; Muredach P Reilly; Nilesh J Samani; Heribert Schunkert Journal: Circ Cardiovasc Genet Date: 2010-10-05
Authors: Teresa Trenkwalder; Christopher P Nelson; Muntaser D Musameh; Ify R Mordi; Thorsten Kessler; Costanza Pellegrini; Radoslaw Debiec; Tobias Rheude; Viktor Lazovic; Lingyao Zeng; Andreas Martinsson; J Gustav Smith; Jesper R Gådin; Anders Franco-Cereceda; Per Eriksson; Jonas B Nielsen; Sarah E Graham; Cristen J Willer; Kristian Hveem; Adnan Kastrati; Peter S Braund; Colin N A Palmer; Amparo Aracil; Oliver Husser; Wolfgang Koenig; Heribert Schunkert; Chim C Lang; Christian Hengstenberg; Nilesh J Samani Journal: Int J Cardiol Date: 2018-11-17 Impact factor: 4.164
Authors: Christopher Newton-Cheh; Nancy R Cook; Martin VanDenburgh; Eric B Rimm; Paul M Ridker; Christine M Albert Journal: Circulation Date: 2009-11-09 Impact factor: 29.690