A tagging SNP in ALOX5AP and risk of stroke: a haplotype-based analysis among eastern Chinese Han population
pmid: 21153769
A tagging SNP in ALOX5AP and risk of stroke: a haplotype-based analysis among eastern Chinese Han population
A genome-wide approach found significant association of two at-risk haplotypes (HapA, HapB) in the ALOX5AP gene with myocardial infarction and stroke. To date, it is still controversial whether ALOX5AP gene polymorphisms are risk factors for stroke. The aim of the present study is to investigate the association between the ALOX5AP gene polymorphism and the risk for stroke in Eastern Chinese Han population with a haplotype-based analysis. We conducted a comprehensive association study of 507 stroke patients and 510 healthy controls to assess the association between the ALOX5AP tagging single-nucleotide polymorphisms (tSNPs) and stroke risk. Genotyping was performed using the PCR-RFLP assay. In the single-locus analysis, we found that the rs9579646 AG genotype was associated with a marginally decreased risk for stroke (adjusted odds ratio, 0.65; 95% confidence interval, 0.45-0.96), compared with the AA genotype. Haplotype-based association analysis of block 2 involving rs10507391 and rs12429692 revealed that the decreased risk of stroke was significantly associated with haplotype AA (OR, 0.66; 95% CI, 0.46-0.95). These results suggested that the genetic variants in ALOX5AP might modulate the risk of stroke in Eastern Chinese Han population. The frequencies of single-marker alleles and haplotypes showed remarkable differences from those in other populations.
- Nanjing Medical University China (People's Republic of)
Male, China, 5-Lipoxygenase-Activating Proteins, Polymorphism, Single Nucleotide, Stroke, Logistic Models, Asian People, Haplotypes, Risk Factors, Ethnicity, Humans, Female, Genetic Predisposition to Disease, Genetic Association Studies, Aged
Male, China, 5-Lipoxygenase-Activating Proteins, Polymorphism, Single Nucleotide, Stroke, Logistic Models, Asian People, Haplotypes, Risk Factors, Ethnicity, Humans, Female, Genetic Predisposition to Disease, Genetic Association Studies, Aged
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