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Genetic variation on the NFKB1 genes associates with the outcomes of HCV infection among Chinese Han population.

Authors :
Fan HZ
Huang P
Shao JG
Tian T
Li J
Zang F
Liu M
Xue H
Wu JJ
Yu RB
Zhang Y
Yue M
Source :
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases [Infect Genet Evol] 2018 Nov; Vol. 65, pp. 210-215. Date of Electronic Publication: 2018 Jul 26.
Publication Year :
2018

Abstract

Aim: To investigate whether nuclear factor-kappa B1 (NFKB1) gene polymorphisms are associated with the outcomes of hepatitis C virus (HCV) infection in a Chinese high-risk population.<br />Methods: In this case-control study, 984 HCV-uninfected controls, 221 infected individuals with spontaneous HCV clearance, and 456 with persistent HCV infection were enrolled. Rs28362491 and rs72696119 were genotyped using the ABI TaqMan allelic discrimination assay. The functional annotation of the identified single nucleotide polymorphisms (SNPs) were further evaluated by bioinformatics analysis.<br />Results: Significant differences were observed among the three groups (P < 0.001) in terms of the frequency of rs28362491 SNP. In logistic regression analysis, rs28362491-ATTG deleted (D) was associated with a significantly increased risk of HCV infection compared to the major-type rs28362491-ATTG inserted (I) (dominant model: adjusted OR = 1.332, 95% CI = 1.059-1.674, P = 0.014; additive model: adjusted OR = 1.181, 95% CI = 1.021-1.367, P = 0.025), after adjusting for age, gender, and route of infection. Based on the in silico prediction, the RegulomeDB score for SNP rs28362491 was 3a, indicating that it can potentially regulate the transcription and expression of NFKB1 gene.<br />Conclusion: NFKB1 rs28362491-D allele was functionally associated with the increased risk of susceptibility to HCV infection in the Chinese Han population.<br /> (Copyright © 2018 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1567-7257
Volume :
65
Database :
MEDLINE
Journal :
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
Publication Type :
Academic Journal
Accession number :
30056167
Full Text :
https://doi.org/10.1016/j.meegid.2018.07.031