Lack of association between complement factor H polymorphisms and coronary artery disease or myocardial infarction.

Complement factor H (CFH) plays a critical role in the protection of host cells and tissues from damage by complement activation and has been suggested to protect against the progression of atherosclerosis. A polymorphism in the CFH gene, Y402H, known to be strongly associated with age-related macular degeneration, has been analyzed in relation to coronary artery disease (CAD) in several studies with conflicting results. We investigated the association of polymorphisms of the CFH gene in two large-scale studies on CAD and myocardial infarction (MI). The AtheroGene Study included a cohort of cases with CAD (n = 1,303) prospectively followed for a median period of 6.2 years, among whom198 experienced a cardiovascular event, and a group of 483 control subjects. The AtheroGene Study population was genotyped for the Y402H, I62V, and E936D polymorphisms. There was no significant difference in genotypic or allelic frequencies between CAD cases and controls. Among cases, no significant association was found with prospective cardiovascular outcome. Many inflammatory proteins, including the C-reactive protein, were measured, and none of the polymorphisms showed an association with these markers. The Etude Cas-Témoin de l'Infarctus du Myocarde (ECTIM) Study compared 1,034 patients with MI and 1,039 controls from France and United Kingdom. The ECTIM Study population was genotyped for the Y402H polymorphism. Genotype and allele frequencies were similar in cases and controls. These results do not support an involvement of common nonsynonymous polymorphisms of the CFH gene in predisposition to CAD and its complications.

Polymorphisms in 33 inflammatory genes and risk of myocardial infarction--a system genetics approach.

The hypothesis of a causal link between inflammation and atherosclerosis would be strengthened if variants of inflammatory genes were associated with disease. Polymorphisms of 33 genes encoding inflammatory molecules were tested for association with myocardial infarction (MI). Patients with MI and a parental history of MI (n = 312) and controls from the UK (n = 317) were genotyped for 162 polymorphisms. Thirteen polymorphisms were associated with MI (P values ranging from 0.003 to 0.041). For three genes, ITGB1, SELP, and TNFRSF1B haplotype frequencies differed between patients and controls (P values < 0.01). We further assessed the simultaneous contribution of all polymorphisms and relevant covariates to MI using a two-step strategy of data mining relying on Random Forest and DICE algorithms. In a replication study involving two independent samples from the UK (n = 649) and France (n = 706), one interaction between the ITGA4/R898Q polymorphism and current smoking status was replicated. This study illustrates a strategy for assessing the joint effect of a large number of polymorphisms on a phenotype that may provide information that single locus or single gene analysis may fail to uncover. Overall, there was weak evidence for an implication of inflammatory polymorphisms on susceptibility to MI.

Heterogeneity of linkage disequilibrium in human genes has implications for association studies of common diseases.

Linkage disequilibrium (LD) is the central concept of genetic association studies. Although LD has been shown not to be uniformly distributed across the genome, limited information is available about the characteristics of LD within candidate genes at large. We screened coding and regulatory regions of 50 candidate genes for cardiovascular diseases and identified 228 polymorphisms. The overall sequence diversity was 3.81 +/- 0.31 x 10(-4). Intragenic LD was generally very strong, with 40% of the 464 pairs of polymorphisms exhibiting a complete LD. However, if we consider /D'/ = 0.7 as an arbitrary limit for useful LD in association studies, 26% of the pairs fell below this threshold, half of which being in negative LD, a situation where LD is even more difficult to detect. Non-synonymous coding polymorphisms, which are more likely to have a functional role, were more represented among low-frequency alleles and were more often in complete negative LD with other polymorphisms. This implies that in many situations the power to detect the effect of a non-synonymous polymorphism by measuring a nearby marker might be low. Although intragenic LD was partly a function of physical distance, gene-specific patterns of LD were observed, making it difficult to provide general guidelines for selecting the most useful polymorphisms in association studies. For all these reasons, association studies should concentrate on the overall sequence variation of functionally important regions of candidate genes and not only on a few polymorphisms. The variability of important intergenic regions identified by different approaches including comparative genomics will also have to be assessed.