Dataset Information

Chronic obstructive pulmonary disease candidate gene prioritization based on metabolic networks and functional information.

ABSTRACT: Chronic obstructive pulmonary disease (COPD) is a multi-factor disease, in which metabolic disturbances played important roles. In this paper, functional information was integrated into a COPD-related metabolic network to assess similarity between genes. Then a gene prioritization method was applied to the COPD-related metabolic network to prioritize COPD candidate genes. The gene prioritization method was superior to ToppGene and ToppNet in both literature validation and functional enrichment analysis. Top-ranked genes prioritized from the metabolic perspective with functional information could promote the better understanding about the molecular mechanism of this disease. Top 100 genes might be potential markers for diagnostic and effective therapies.

SUBMITTER: Wang X

PROVIDER: S-EPMC5584748 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Chronic obstructive pulmonary disease candidate gene prioritization based on metabolic networks and functional information.

Wang Xinyan X Li Wan W Zhang Yihua Y Feng Yuyan Y Zhao Xilei X He Yuehan Y Zhang Jun J Chen Lina L

PloS one 20170905 9

Chronic obstructive pulmonary disease (COPD) is a multi-factor disease, in which metabolic disturbances played important roles. In this paper, functional information was integrated into a COPD-related metabolic network to assess similarity between genes. Then a gene prioritization method was applied to the COPD-related metabolic network to prioritize COPD candidate genes. The gene prioritization method was superior to ToppGene and ToppNet in both literature validation and functional enrichment a ...[more]

PMID: 28873096

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Project description:ObjectiveChronic obstructive pulmonary disease (COPD) and pulmonary tuberculosis (PTB) share a number of common risk factors, including innate immunity-related genetic factors. In the present study, we compared the role of genetic variations of the TLR4 gene in susceptibility to COPD and PTB and illuminated the underlying molecular mechanism of functional single-nucleotide polymorphisms (SNPs).MethodsA population-based case control study was performed in a Chinese Han population and included 152 COPD cases, 1601 PTB cases and 1727 controls. Five SNPs in the TLR4 gene (rs10759932, rs2737190, rs7873784, rs11536889, and rs10983755) were genotyped using TaqMan allelic discrimination technology. We estimated the effects of SNPs using the odds ratio (OR) together with 95% confidence interval (CI). Dual-luciferase reporter vectors expressing different genotypes of SNPs were constructed and transfected into the human HEK 293 T cell line to explore their effects on potential transcription activity.ResultsAfter Bonferroni correction, the genetic polymorphisms of all five SNPs remained significantly associated with COPD, while rs10759932 and rs2737190 were also associated with PTB. Compared with rs10759932-TT, individuals carrying TC (OR: 0.42, 95% CI: 0.28-0.64) or CC (OR: 0.24, 95% CI: 0.09-0.63) had a significantly reduced risk of COPD. However, individuals carrying TC (OR: 1.28, 95% CI: 1.11-1.49) or CC (OR: 1.26, 95% CI: 0.98-1.62) had an increased risk of PTB. The OR (95% CI) for allele rs10759932-C was 0.45 (0.32-0.62) for COPD and 1.18 (1.07-1.32) for PTB. For rs2737190, heterozygous AG was related to a decreased risk of COPD (OR: 0.32, 95% CI: 0.21-0.49) and an increased risk of PTB (OR: 1.30, 95% CI: 1.11-1.52). The dual-luciferase reporter assay showed decreased transcription activity caused by rs10759932-C and rs2737190-G.ConclusionGenetic polymorphisms of rs10759932 and rs2737190 in TLR4 are significantly related to both COPD and PTB but with inverse effects. The altered transcription activity caused by mutations in these two loci may partly explain the observed relationship.

Dataset Information

Chronic obstructive pulmonary disease candidate gene prioritization based on metabolic networks and functional information.

Publications

Chronic obstructive pulmonary disease candidate gene prioritization based on metabolic networks and functional information.

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