Effects of Lipopolysaccharide-Binding Protein (LBP) Single Nucleotide Polymorphism (SNP) in Infections, Inflammatory Diseases, Metabolic Disorders and Cancers.
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ABSTRACT:
SUBMITTER: Meng L
PROVIDER: S-EPMC8290185 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Publications
Effects of Lipopolysaccharide-Binding Protein (LBP) Single Nucleotide Polymorphism (SNP) in Infections, Inflammatory Diseases, Metabolic Disorders and Cancers.
Meng Leilei L Song Zichen Z Liu Anding A Dahmen Uta U Yang Xiao X Fang Haoshu H
Frontiers in immunology 20210706
Inflammation, which is induced by the immune response, is recognized as the driving factor in many diseases, including infections and inflammatory diseases, metabolic disorders and cancers. Genetic variations in pivotal genes associated with the immune response, particularly single nucleotide polymorphisms (SNPs), may account for predisposition and clinical outcome of diseases. Lipopolysaccharide (LPS)-binding protein (LBP) functions as an enhancer of the host response to LPS, the main component ...[more]
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Project description:AimsTo investigate the impact of telomerase reverse transcriptase (TERT) gene polymorphism and additional SNP-SNP interaction on non-small cell lung cancer (NSCLC) risk in Chinese population.MethodsA total of 828 participants (526 males, 302 females), with a mean age of 71.3 ± 15.7 years old, were selected, including 410 NSCLC patients and 418 normal participants. Logistic regression was performed to investigate association between single nucleotide polymorphism (SNP) and NSCLC risk. Generalized multifactor dimensionality reduction (GMDR) was used to analysis the interaction among four SNPs.ResultsNon-small cell lung cancer risk was significantly higher in carriers of G allele of the rs2736100 polymorphism than those with TT (TG + GG vs. TT, adjusted OR (95%CI = 1.68 (1.28-2.07). In addition, we also found that NSCLC risk was also significantly higher in carriers of A allele of the rs2736098 polymorphism than those with GG (GA + AA vs. GG, adjusted OR (95%CI) = 1.52 (1.19-1.93). GMDR analysis indicated that there was a significant two-locus model (P = 0.0100) involving rs2736098 and rs2736100, indicating a potential gene-gene interaction between rs2736098 and rs2736100. Overall, the two-locus models had a cross-validation consistency of 10 of 10, and had the testing accuracy of 62.17%. We found that patients with GA or AA of rs2736098 and TG or GG of rs2736100 genotype have the highest NSCLC risk, compared to patients with GG of rs2736098 and TT of rs2736100 genotype, OR (95%CI) was 2.52 (1.68-3.68), after covariates adjustment.ConclusionsMinor allele of rs2736098 and rs2736100 in TERT gene and interaction between the two SNP were associated with increased risk of NSCLC risk.
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