A Study on SNP of IL10 in Cerebral Infarction Patients

Objectives : In this study, we investigated the SNP (single-nucleotide polymorphism) of IL10 in patients with stroke. The present study was undertaken to see if specific genotypic and allelic variations are associated with stroke in the Korean population. Methods : Blood samples from all subjects we...

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Bibliographic Details
Published inJournal of acupuncture research pp. 173 - 179
Main Authors Jung Tae-young, Lee Kyung-min, Seo Jung-chul, Choi Sung-hun, Kim Kyung-woon, Lee Yoon-kyung, Lim Seong-chul
Format Journal Article
LanguageKorean
Published 대한침구의학회 01.04.2006
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Summary:Objectives : In this study, we investigated the SNP (single-nucleotide polymorphism) of IL10 in patients with stroke. The present study was undertaken to see if specific genotypic and allelic variations are associated with stroke in the Korean population. Methods : Blood samples from all subjects were obtained for DNA extraction and collected in EDTA tube. Genomic DNA was extracted using DNA isolation kit for Mammalian Blood (Boehringer Mannheim, IN, USA). The extracted DNA was amplified by polymerase chain reaction (PCR). Pyrosequencing was performed according to manufacturer's standard protocol. Results : There was no statistically significant genotypic distribution difference between control and stroke group. The frequencies of A/A homozygotes and A/C heterozygotes among control subjects were 91 (87.5%) and 13 (12.5%). The frequencies of A/A and A/C among the stroke patients were 85 (89.5%) and 10 (10.5%). There was not statistically significant allelic frequency difference between control and stroke group. The allelic frequency of A and C was 195 (93.8%) and 13 (6.2%) among the control subjects and 180 (94.7%) and 10 (5.3%) in stroke patients, respectively. Conclusion : The cytokine IL10 may not be pathogenetic factors in stroke. But further studies including different cytokine gene can be a useful for predicting stroke. Establishment of more systemic approach and high quality of prospective cohorts will be necessary for the good prediction of genetic markers. KCI Citation Count: 0
Bibliography:G704-000258.2006.23.2.011
ISSN:2586-288X
2586-2898