Article
Genome-wide association study of coronary artery disease in the Japanese.
Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
European journal of human genetics: EJHG (impact factor:
3.56).
03/2012;
20(3):333-40.
DOI:10.1038/ejhg.2011.184
pp.333-40
Source: PubMed
- Citations (2)
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Cited In (0)
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Article: Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease.
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ABSTRACT: We performed a meta-analysis of 14 genome-wide association studies of coronary artery disease (CAD) comprising 22,233 individuals with CAD (cases) and 64,762 controls of European descent followed by genotyping of top association signals in 56,682 additional individuals. This analysis identified 13 loci newly associated with CAD at P < 5 × 10⁻⁸ and confirmed the association of 10 of 12 previously reported CAD loci. The 13 new loci showed risk allele frequencies ranging from 0.13 to 0.91 and were associated with a 6% to 17% increase in the risk of CAD per allele. Notably, only three of the new loci showed significant association with traditional CAD risk factors and the majority lie in gene regions not previously implicated in the pathogenesis of CAD. Finally, five of the new CAD risk loci appear to have pleiotropic effects, showing strong association with various other human diseases or traits.Nature Genetics 03/2011; 43(4):333-8. · 35.53 Impact Factor -
Article: Overcoming the winner's curse: estimating penetrance parameters from case-control data.
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ABSTRACT: Genomewide association studies are now a widely used approach in the search for loci that affect complex traits. After detection of significant association, estimates of penetrance and allele-frequency parameters for the associated variant indicate the importance of that variant and facilitate the planning of replication studies. However, when these estimates are based on the original data used to detect the variant, the results are affected by an ascertainment bias known as the "winner's curse." The actual genetic effect is typically smaller than its estimate. This overestimation of the genetic effect may cause replication studies to fail because the necessary sample size is underestimated. Here, we present an approach that corrects for the ascertainment bias and generates an estimate of the frequency of a variant and its penetrance parameters. The method produces a point estimate and confidence region for the parameter estimates. We study the performance of this method using simulated data sets and show that it is possible to greatly reduce the bias in the parameter estimates, even when the original association study had low power. The uncertainty of the estimate decreases with increasing sample size, independent of the power of the original test for association. Finally, we show that application of the method to case-control data can improve the design of replication studies considerably.The American Journal of Human Genetics 05/2007; 80(4):605-15. · 10.60 Impact Factor
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Keywords
541 additional cases
common single-nucleotide polymorphisms
coronary artery disease
different populations
direct genotyping
discovery phase
European-descent populations
genome-wide association
Japanese GWA study
Japanese study
likely presence
myocardial infarction cases
new understanding
novel susceptibility gene variants
populations
prominent association signals
replication phase
risk alleles
silico comparison
∼8-Mb interval