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Hereditas ; 149(5): 153-62, 2012 Oct.
Article in English | MEDLINE | ID: mdl-23121326

ABSTRACT

Atherosclerosis leads to cerebral infarction (CI) and the insulin/insulin-like growth factor-1 (IGF1) signaling pathway plays an important role in this process during adult life. The purpose of this study was to investigate the relationship between the human IGF1 gene and CI in the Japanese population via a case-control study that also included a separate analysis of the two gender groups. A total of 155 CI patients and 316 controls were genotyped for six single nucleotide polymorphisms (SNPs) of the human IGF1 gene (rs2162679, rs7956547, rs2288378, rs2072592, rs978458 and rs6218). All data were analyzed for three separate groups: the total subjects, men and women. The logistic regression analysis revealed that the GG + AG variant of rs2162679 (P = 0.047), the AA + GA variant of rs2072592 (P = 0.005) and the CC + TC variant of rs6218 (P = 0.015) exhibited a protective effect for CI in the total subject group. For the women and the total subjects groups, the overall distribution of the haplotype established by rs7956547-rs978458 was significantly different between the CI patients and the non-CI subjects. For the total subjects, the frequency of the T-G haplotype (rs7956547-rs978458) was also significantly higher (P = 0.034), whereas the frequency of the T-A haplotype (rs7956547-rs978458) was significantly lower (P = 0.008) in the CI patients versus the non-CI subjects. For women, the frequency of the T-A haplotype (rs7956547-rs978458) was significantly lower (P = 0.021) in the CI patients as compared with the non-CI subjects. The specific SNPs and haplotypes can be utilized as genetic markers for CI resistance or CI risk.


Subject(s)
Asian People/genetics , Cerebral Infarction/genetics , Insulin-Like Growth Factor I/genetics , Aged , Aged, 80 and over , Case-Control Studies , Confidence Intervals , Exons , Female , Gene Frequency , Genetic Association Studies , Genetic Markers , Genetic Predisposition to Disease , Haplotypes , Humans , Logistic Models , Male , Middle Aged , Odds Ratio , Polymorphism, Single Nucleotide , Risk Factors , Sex Factors
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