Powered by OpenAIRE graph
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Molecular Biology Re...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Molecular Biology Reports
Article . 2012 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
versions View all 2 versions

Association between IL10, IL10RA, and IL10RB SNPs and ischemic stroke with hypertension in Korean population

Authors: Hyun-Kyung, Park; Dong Hwan, Kim; Dong Hwan, Yun; Ju Yeon, Ban;

Association between IL10, IL10RA, and IL10RB SNPs and ischemic stroke with hypertension in Korean population

Abstract

The pathogenesis of stroke is associated with the immune and inflammatory responses. Cytokines, such as interleukin 10 (IL10), play an important role in the process of inflammation. To investigate whether IL10, IL10RA, and IL10RB polymorphisms are associated with the risk of ischemic stroke (IS), selected two IL10 SNPs (rs1518111 and rs1554286), three IL10RA SNPs (rs2256111, rs4252243, and rs2228054), and two IL10RB SNPs (rs999788 and rs2834167) were analyzed in 120 patients with IS and 285 control subjects. All IS patients were classified into the clinical subgroups, according to the levels of blood pressure (hypertension, present and absent), fasting plasma glucose (diabetes mellitus, present and absent), and lipids (dyslipidemia, present and absent). SNPStats and SPSS 18.0 program were used to obtain the odds ratios, 95 % confidence intervals, and P values. Multiple logistic regression models (codominant1, codominant2, dominant, recessive, and log-additive models) were performed to analyze the genetic data. Seven polymorphisms were not associated with the IS, but showed significant associations with hypertension, in the risk of IS. These results suggest that the IL10, IL10RA, and IL10RB genes may be contributed to the hypertension in the risk of IS in the Korean population.

Related Organizations
Keywords

Male, Genotype, Interleukin-10 Receptor alpha Subunit, Sequence Analysis, DNA, Middle Aged, Interleukin-10 Receptor beta Subunit, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Brain Ischemia, Interleukin-10, Gene Frequency, Case-Control Studies, Hypertension, Republic of Korea, Humans, Female, Genetic Predisposition to Disease, Genetic Association Studies, Aged

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    27
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%