ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2016
The association of CYP1A1 genetic polymorphisms and additional gene-gene interaction with ischemic stroke in the eastern Han of China.
Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 10 citations in OpenAlex.
- Aspects of xenobiotics and their receptors in stroke.Neuroprotection (Chichester, England) · 2023Review
- The influence of CYP1A1 and CYP1A2 polymorphisms on stroke risk in the Chinese population.Lipids in health and disease · 2020Article
- Aryl hydrocarbon receptor pathway: Role, regulation and intervention in atherosclerosis therapy (Review).Molecular medicine reports · 2019Review
- Advances in clinical neurology through the journal "Neurological Sciences" (2015-2016).Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2017Article
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6 authors at 2 institutions in 1 country.
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Abstract
The aim of this study was to investigate the association between CYP1A1 gene polymorphism and ischaemic stroke (IS) risk, and the impact of gene-gene interaction on IS risk based on a Chinese Han case-control study. A total of 1162 subjects (612 men and 550 women), with a mean age of 63.1 ± 12.5 years old, were selected, including 580 IS patients and 582 normal controls. Logistic regression was performed to investigate association between single-nucleotide polymorphisms (SNP) and IS risk, and generalized multifactor dimensionality reduction (GMDR) was used to analyze the gene-gene interaction. Logistic regression analysis showed that the frequency for rs4646903 minor alleles was lower in cases than that in normal controls, and C allele of rs4646903 was 20.7 % in ischemic stroke cases and 27.1 % in controls subjects (p < 0.001). Logistic analysis showed the significant association between genotypes of variants in rs4646903 and decreased ischemic stroke risk. GMDR analysis indicated that there was a significant two-locus model (p = 0.0107) involving rs4646903 and rs1048943, indicating a potential gene-gene interaction between rs4646903 and rs1048943. Overall, the two- locus models had a cross-validation consistency of 9 of 10, and had the testing accuracy of 60.72 %. Subjects with TC or CC of rs4646903 and AG or GG of rs1048943 genotype have lowest ischemic stroke risk, compared to subjects with TT of rs4646903 and AA of rs1048943 genotype, and OR (95 % CI) was 0.63 (0.42-0.89). rs4646903 minor alleles and interaction between rs4646903 and rs1048943 were associated with decreased IS risk.
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