Dataset Information

Association of single nucleotide polymorphisms of IL23R and IL17 with ulcerative colitis risk in a Chinese Han population.

ABSTRACT:

Background

Previous studies implicated that IL23R and IL17 genes play an important role in autoimmune inflammation. Genome-wide association studies have also identified multiple single nucleotide polymorphisms (SNPs) in the IL23R gene region associated with inflammatory bowel diseases. This study examined the association of IL23R and IL17A gene SNPs with ulcerative colitis susceptibility in a population in China.

Methodology

A total of 270 ulcerative colitis and 268 healthy controls were recruited for the analyses of 23 SNPs in the IL23R and IL17A regions. Genomic DNA was extracted and analysis of these 23 SNPs using ligase detection reaction allelic (LDR) technology. Genotype and allele associations were calculated using SPSS 13.0 software package.

Principal findings

Compared to the healthy controls, the variant alleles IL23R rs7530511, and rs11805303 showed a statistically significant difference for ulcerative colitis susceptibility (0.7% vs 3.3%, P = 0.002; 60.4% vs 53.2%, P = 0.0017, respectively). The linkage disequilibrium (LD) patterns of these SNPs were measured and three LD blocks from the SNPs of IL23R and one block from those of IL17A were identified. A novel association with ulcerative colitis susceptibility occurred in haplotypes of IL23R (Block1 H3 P = 0.02; Block2 H2 P = 0.019; Block3 H4 P = 0.029) and IL17A (H4 P = 0.034). Pair-wise analyses showed an interaction between the risk haplotypes in IL23R and IL17A (P = 0.014).

Conclusions

Our study demonstrated that rs7530511, and rs11805303 of IL23R were significantly associated with ulcerative colitis susceptibility in the Chinese population. The most noticeable finding was the linkage of IL23R and IL17A gene region to ulcerative colitis risk due to the gene-gene interaction.

SUBMITTER: Yu P

PROVIDER: S-EPMC3439435 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Publications

Association of single nucleotide polymorphisms of IL23R and IL17 with ulcerative colitis risk in a Chinese Han population.

Yu Pengli P Shen Fangcheng F Zhang Xiaofei X Cao Risheng R Zhao Xiaodan X Liu Pengfei P Tu Huiming H Yang Xiaozhong X Shi Ruihua R Zhang Hongjie H

PloS one 20120911 9

<h4>Background</h4>Previous studies implicated that IL23R and IL17 genes play an important role in autoimmune inflammation. Genome-wide association studies have also identified multiple single nucleotide polymorphisms (SNPs) in the IL23R gene region associated with inflammatory bowel diseases. This study examined the association of IL23R and IL17A gene SNPs with ulcerative colitis susceptibility in a population in China.<h4>Methodology</h4>A total of 270 ulcerative colitis and 268 healthy contro ...[more]

PMID: 22984500

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Project description:BACKGROUND: Genetic variation associated with human leukocyte antigen (HLA) genes has immunological functions and is associated with autoimmune diseases. To date, large-scale studies involving classical HLA genes have been limited by time-consuming and expensive HLA-typing technologies. To reduce these costs, single-nucleotide polymorphisms (SNPs) have been used to predict HLA-allele types. Although HLA allelic distributions differ among populations, most prediction model of HLA genes are based on Caucasian samples, with few reported studies involving non-Caucasians. RESULTS: Our sample consisted of 437 Han Chinese with Affymetrix 5.0 and Illumina 550 K SNPs, of whom 214 also had data on Affymetrix 6.0 SNPs. All individuals had HLA typings at a 4-digit resolution. Using these data, we have built prediction model of HLA genes that are specific for a Han Chinese population. To optimize our prediction model of HLA genes, we analyzed a number of critical parameters, including flanking-region size, genotyping platform, and imputation. Predictive accuracies generally increased both with sample size and SNP density. CONCLUSIONS: SNP data from the HapMap Project are about five times more dense than commercially available genotype chip data. Using chips to genotype our samples, however, only reduced the accuracy of our HLA predictions by only ~3%, while saving a great deal of time and expense. We demonstrated that classical HLA alleles can be predicted from SNP genotype data with a high level of accuracy (80.37% (HLA-B) ~95.79% (HLA-DQB1)) in a Han Chinese population. This finding offers new opportunities for researchers in obtaining HLA genotypes via prediction using their already existing chip datasets. Since the genetic variation structure (e.g. SNP, HLA, Linkage disequilibrium) is different between Han Chinese and Caucasians, and has strong impact in building prediction models for HLA genes, our findings emphasize the importance of building ethnic-specific models when analyzing human populations.

Project description:BackgroundSevere tuberculosis constitutes a significant menace to human safety and well-being, with a considerable mortality rate. The severity of tuberculosis can be impacted by genetic variations in host genes, particularly single nucleotide polymorphisms (SNPs).MethodsA case‒control study was undertaken, encompassing a cohort of 1137 tuberculosis patients (558 with severe tuberculosis and 579 with mild tuberculosis), alongside 581 healthy controls within the age range of fifteen to forty-five years. Whole blood DNA was extracted from all participants, and three tag polymorphisms (rs1884444, rs7518660, rs7539625) of the IL23R gene were selectively identified and genotyped.ResultsNo significant correlation was observed between the IL23R gene polymorphisms (rs1884444, rs7518660, and rs7539625) and tuberculosis. Upon comparing the tuberculosis group with the healthy control group, the mild tuberculosis group with the healthy control group, and the severe tuberculosis group with the healthy control group, the obtained P-values were> 0.05. However, in the comparison between severe tuberculosis and mild tuberculosis, the presence of rs1884444 G alleles exhibited a significantly increased risk of severe tuberculosis after adjusting for age and sex (ORa: 1.199, 95% CI: 1.009-1.424; Pa=0.039, respectively). In subgroup analysis, after accounting for confounding factors, including age and sex, rs1884444 G alleles continued to demonstrate a significantly heightened risk of severe tuberculosis. Nonetheless, the comparison between the multisystemic tuberculosis group and the mild tuberculosis group was no significant difference. Notably, rs1884444 of the IL23R gene exhibited a noteworthy association with the risk of severe tuberculosis in the comparison between severe tuberculosis and mild tuberculosis before and after adjusting for age and sex (ORa: 1.301, 95% CI: 1.030-1.643; Pa=0.027, respectively). Furthermore, the presence of the rs1884444 G allele exhibited a significantly increased risk of severe tuberculosis after adjusting for age and sex in the comparison between tuberculous meningitis and mild tuberculosis (ORa: 1.646, 95% CI: 1.100-2.461; Pa=0.015, respectively).ConclusionsThe present study suggests that there is no significant association between IL23R gene polymorphism and tuberculosis susceptibility in the Chinese Han population. However, it does indicate a potential link between IL23R polymorphism and an increased risk of developing severe tuberculosis.

Dataset Information

Association of single nucleotide polymorphisms of IL23R and IL17 with ulcerative colitis risk in a Chinese Han population.

Background

Methodology

Principal findings

Conclusions

Publications

Association of single nucleotide polymorphisms of IL23R and IL17 with ulcerative colitis risk in a Chinese Han population.

Similar Datasets

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