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Aims: Recent genome-wide association (GWA) studies identified 10 chromosomal loci for coronary artery disease (CAD) or myocardial infarction (MI). However, these loci explain only a small proportion of the genetic variability of these pertinent diseases. We sought to identify additional CAD/MI loci by applying a three-stage approach., Methods and Results: We genotyped n = 1157 MI cases and n = 1748 controls from a population-based study population [German MI Family Study (GerMIFS) III (KORA)] with genome-wide SNP arrays. At this first stage, n = 462 SNPs showed association with MI at P<1 × 10(-3) in two-sided logistic regression. In a second stage, 415 of these SNPs were evaluated in silico in two independent GWA samples, the GerMIFS I (875 cases/1644 controls) and GerMIFS II (1222 cases/1298 controls). Nine SNPs, representing three regions, displayed consistent replication in this in silico analysis (P<0.05 for each GWA sample): five SNPs at 9p21.3, a well-known CAD/MI locus, two SNPs at 10p11.21, and two SNPs at 2p24.3. Wet-lab replication, i.e. the third stage, of SNP rs3739998 (representing the novel locus at 10p11.21, p.S1002T in the KIAA1462 gene) in additional 5790 cases and 5302 controls confirmed the association (P=9.54 × 10(-4)), but not for the 2p24.3 locus. The combined P-value across all stages for SNP rs3739998 is P=1.27 × 10(-11) [odds ratio (OR) = 1.15 (1.11-1.20)]., Conclusion: Analysis of a GWA study followed by in silico and wet-lab replication steps identified the KIAA1462 gene, encoding a yet uncharacterized protein, on chromosome 10p11.23 with genome-wide significant association for CAD/MI. Further studies are needed to characterize the functional role of this locus in the aetiology of these diseases.

BACKGROUND: A chromosomal locus at 4q32.1 has been genomewide significantly associated with coronary artery disease risk. The locus encompasses GUCY1A3, which encodes the α1 subunit of the soluble guanylyl cyclase (sGC), a key enzyme in the nitric oxide/cGMP signaling pathway. The mechanism linking common variants in this region with coronary risk is not known. METHODS: Gene expression and protein expression were analyzed with quantitative polymerase chain reaction and immunoblotting, respectively. Putative allele-specific transcription factors were identified with in silico analyses and validated via allele-specific quantification of antibody-precipitated chromatin fractions. Regulatory properties of the lead risk variant region were analyzed with reporter gene assays. To assess the effect of zinc finger E box-binding homeobox 1 transcription factor (ZEB1), siRNA-mediated knockdown and overexpression experiments were performed. Association of GUCY1A3 genotype and cellular phenotypes was analyzed with vascular smooth muscle cell migration assays and platelet aggregation analyses. RESULTS: Whole-blood GUCY1A3 mRNA levels were significantly lower in individuals homozygous for the lead (rs7692387) risk variant. Likewise, reporter gene assays demonstrated significantly lower GUCY1A3 promoter activity for constructs carrying this allele. In silico analyses located a DNase I hypersensitivity site to rs7692387 and predicted binding of the transcription factor ZEB1 rather to the nonrisk allele, which was confirmed experimentally. Knockdown of ZEB1 resulted in more profound reduction of nonrisk allele promoter activity and a significant reduction of endogenous GUCY1A3 expression. Ex vivo–studied platelets from homozygous nonrisk allele carriers displayed enhanced inhibition of ADP-induced platelet aggregation by the nitric oxide donor sodium nitroprusside and the phosphodiesterase 5 inhibitor sildenafil compared with homozygous risk allele carriers. Moreover, pharmacological stimulation of sGC led to reduced migration only in vascular smooth muscle cells homozygous for the nonrisk allele. In the Hybrid Mouse Diversity Panel, higher levels of GUCY1A3 expression correlated with less atherosclerosis in the aorta. CONCLUSIONS: Rs7692387 is located in an intronic site that modulates GUCY1A3 promoter activity. The transcription factor ZEB1 binds preferentially to the nonrisk allele, leading to an increase in GUCY1A3 expression, higher sGC levels, and higher sGC activity after stimulation. Finally, human and mouse data link augmented sGC expression to lower risk of atherosclerosis. [ABSTRACT FROM AUTHOR]