Genetic factors have been shown to be associated with the risk of stroke. However, due to individual differences, the extent of the association between genetic factors and stroke varies widely. Hypertension is considered one of the most important risk factors for stroke, but it remains unknown whether the genetic association with stroke in a hypertensive population is the same as that in a non-hypertensive population.
We examined the relationship between the liver X receptor a gene (LXRα) rsl2221497 polymorphism and the susceptibility to ischemic stroke in a Chinese population. The polymerase chain reaction-restriction fragment length polymorphism technique was used to detect the genotype of rsl2221497 in the LXRαgene of 300 stroke patients and 300 healthy control subjects. The chi-square test was used to analyze the genotype distribution between the 2 groups.
We examined the relationship between the liver X receptor α gene (LXRα) polymorphism and the susceptibility to stroke. We utilized the single fluorescent-labeled probe technique to detect the genotype of rs12221497 in the LXRα gene in 400 stroke patients and 400 healthy control subjects. The difference in genotype distribution between the 2 groups was analyzed using the chi-square test. Serum lipids and glucose levels between the different genotypes were also compared.
We investigated the association between polymorphisms in the adiponectin gene (APM-1) and atherosclerotic cerebral infarction (ACI) in a Chinese Han population of Hainan Province. Polymerase chain reaction-restriction fragment length polymorphism and gene sequencing were used to analyze the distribution of APM-1 +45T/G and +276G/T genotypes and their alleles in 120 ACI patients and 120 healthy controls. No statistical correlation was found in the frequency and distribution of the genotype 45T/G between the ACI group and the control group.
Several independent studies have reported the role of the methylenetetrahydrofolate reductase gene (MTHFR) A1298C polymorphism in strokes, but the results are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed in the present study. In this meta-analysis, a total of 13 studies, including 1974 cases and 2660 controls, were selected to evaluate the possible association. Crude odds ratios (ORs) with 95% confidence intervals (CI) were used to assess the strength of the association in additive, dominant, and recessive models.