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Associations of genetic variants of miRNA coding regions with pulmonary tuberculosis risk in China

Tuberculosis (TB) is the leading cause of death caused by single pathogenic microorganism, Mycobacterium tuberculosis (MTB). The study aims to explore the associations of microRNA (miRNA) single-nucleotide polymorphisms (SNPs) with pulmonary TB (PTB) risk. A population-based case−control study was c...

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Autores principales: Zhang, Mingwu, Liu, Zhengwei, Zhu, Yelei, Chen, Songhua, Chen, Bin, Wang, Xiaomeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479703/
http://dx.doi.org/10.1017/S0950268821002004
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author Zhang, Mingwu
Liu, Zhengwei
Zhu, Yelei
Chen, Songhua
Chen, Bin
Wang, Xiaomeng
author_facet Zhang, Mingwu
Liu, Zhengwei
Zhu, Yelei
Chen, Songhua
Chen, Bin
Wang, Xiaomeng
author_sort Zhang, Mingwu
collection PubMed
description Tuberculosis (TB) is the leading cause of death caused by single pathogenic microorganism, Mycobacterium tuberculosis (MTB). The study aims to explore the associations of microRNA (miRNA) single-nucleotide polymorphisms (SNPs) with pulmonary TB (PTB) risk. A population-based case−control study was conducted, and 168 newly diagnosed smear-positive PTB cases and 251 non-TB controls were recruited. SNPs located within miR-27a (rs895819), miR-423 (rs6505162), miR-196a-2 (rs11614913), miR-146a (rs2910164), miR-618 (rs2682818) were selected and MassARRAY(®) MALDI-TOF System was employed for genotyping. SPSS19.0 was adopted for statistical analysis, non-conditional logistic regression was performed. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were computed to estimate the associations. Associations of haplotypes with PTB risk were performed with online tool. Rs895819 CT/CC genotype was associated with reduced PTB risk among female population (OR = 0.45, 95% CI: 0.23–0.98), P = 0.045. Haplotypes (combined with rs895819, rs2682818, rs2910164, rs6505162 and rs11614913) TCCCT, TAGCC, CCCCC, CCGCT and TCGAT were associated with reduced PTB risk and the ORs were 0.67 (95% CI: 0.45–0.99), 0.49 (0.25–0.94), 0.34 (95% CI: 0.14–0.81), 0.22 (95% CI: 0.06–0.84) and 0.24 (95% CI: 0.07–0.79), respectively; while the haplotypes of TAGCT, CCCCT, CACCT and TCCAT were associated with increased PTB risk, and the ORs were 3.63 (95% CI: 1.54–8.55), 2.20 (95% CI: 1.00–4.86), 3.90 (95% CI: 1.47–10.36) and 2.95 (95% CI: 1.09–7.99), respectively. Rs895819 CT/CC genotype was associated with reduced female PTB risk and haplotype TCCCT, TAGCC, CCCCC, CCGCT and TCGAT were associated with reduced PTB risk, while TAGCT, CCCCT, CACCT and TCCAT were associated with increased risk.
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spelling pubmed-84797032021-10-08 Associations of genetic variants of miRNA coding regions with pulmonary tuberculosis risk in China Zhang, Mingwu Liu, Zhengwei Zhu, Yelei Chen, Songhua Chen, Bin Wang, Xiaomeng Epidemiol Infect Original Paper Tuberculosis (TB) is the leading cause of death caused by single pathogenic microorganism, Mycobacterium tuberculosis (MTB). The study aims to explore the associations of microRNA (miRNA) single-nucleotide polymorphisms (SNPs) with pulmonary TB (PTB) risk. A population-based case−control study was conducted, and 168 newly diagnosed smear-positive PTB cases and 251 non-TB controls were recruited. SNPs located within miR-27a (rs895819), miR-423 (rs6505162), miR-196a-2 (rs11614913), miR-146a (rs2910164), miR-618 (rs2682818) were selected and MassARRAY(®) MALDI-TOF System was employed for genotyping. SPSS19.0 was adopted for statistical analysis, non-conditional logistic regression was performed. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were computed to estimate the associations. Associations of haplotypes with PTB risk were performed with online tool. Rs895819 CT/CC genotype was associated with reduced PTB risk among female population (OR = 0.45, 95% CI: 0.23–0.98), P = 0.045. Haplotypes (combined with rs895819, rs2682818, rs2910164, rs6505162 and rs11614913) TCCCT, TAGCC, CCCCC, CCGCT and TCGAT were associated with reduced PTB risk and the ORs were 0.67 (95% CI: 0.45–0.99), 0.49 (0.25–0.94), 0.34 (95% CI: 0.14–0.81), 0.22 (95% CI: 0.06–0.84) and 0.24 (95% CI: 0.07–0.79), respectively; while the haplotypes of TAGCT, CCCCT, CACCT and TCCAT were associated with increased PTB risk, and the ORs were 3.63 (95% CI: 1.54–8.55), 2.20 (95% CI: 1.00–4.86), 3.90 (95% CI: 1.47–10.36) and 2.95 (95% CI: 1.09–7.99), respectively. Rs895819 CT/CC genotype was associated with reduced female PTB risk and haplotype TCCCT, TAGCC, CCCCC, CCGCT and TCGAT were associated with reduced PTB risk, while TAGCT, CCCCT, CACCT and TCCAT were associated with increased risk. Cambridge University Press 2021-08-31 /pmc/articles/PMC8479703/ http://dx.doi.org/10.1017/S0950268821002004 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Original Paper
Zhang, Mingwu
Liu, Zhengwei
Zhu, Yelei
Chen, Songhua
Chen, Bin
Wang, Xiaomeng
Associations of genetic variants of miRNA coding regions with pulmonary tuberculosis risk in China
title Associations of genetic variants of miRNA coding regions with pulmonary tuberculosis risk in China
title_full Associations of genetic variants of miRNA coding regions with pulmonary tuberculosis risk in China
title_fullStr Associations of genetic variants of miRNA coding regions with pulmonary tuberculosis risk in China
title_full_unstemmed Associations of genetic variants of miRNA coding regions with pulmonary tuberculosis risk in China
title_short Associations of genetic variants of miRNA coding regions with pulmonary tuberculosis risk in China
title_sort associations of genetic variants of mirna coding regions with pulmonary tuberculosis risk in china
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479703/
http://dx.doi.org/10.1017/S0950268821002004
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