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TERT gene polymorphisms are associated with chronic obstructive pulmonary disease risk in the Chinese Li population

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality worldwide and is characterized by a partially reversible airflow limitation. Currently, many studies put forward that COPD is associated with both genetic and environmental factors. It ha...

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Autores principales: Ding, Yipeng, Li, Quanni, Wu, Cibing, Wang, Wei, Zhao, Jie, Feng, Qiong, Zhou, Xiaoman, Xie, Yufei, Lin, Mei, He, Ping, Xie, Pingdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6687861/
https://www.ncbi.nlm.nih.gov/pubmed/31270965
http://dx.doi.org/10.1002/mgg3.773
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author Ding, Yipeng
Li, Quanni
Wu, Cibing
Wang, Wei
Zhao, Jie
Feng, Qiong
Zhou, Xiaoman
Xie, Yufei
Lin, Mei
He, Ping
Xie, Pingdong
author_facet Ding, Yipeng
Li, Quanni
Wu, Cibing
Wang, Wei
Zhao, Jie
Feng, Qiong
Zhou, Xiaoman
Xie, Yufei
Lin, Mei
He, Ping
Xie, Pingdong
author_sort Ding, Yipeng
collection PubMed
description BACKGROUND: Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality worldwide and is characterized by a partially reversible airflow limitation. Currently, many studies put forward that COPD is associated with both genetic and environmental factors. It has been reported that germline mutations in telomerase are risk factors for COPD susceptibility. In this study, we validated the association between TERT polymorphisms and COPD risk with a case–control study in the Chinese Li population. METHODS: A total of 279 COPD patients and 290 control individuals were recruited. We identified five single nucleotide polymorphisms (SNPs) in TERT that were associated with COPD. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated in logistic regression models after adjusting for age and gender to assess the association. RESULTS: In the genetic model analysis, we found the “C/T‐T/T” genotype of rs10069690 in TERT was associated with an increased COPD risk in the dominant model (p = 0.046); the rs2853677 in TERT was significantly associated with increased COPD risk based on the codominant model (“A/G” genotype, p = 0.033), dominant model (A/G‐G/G genotype, p = 0.0091), and log‐additive model (p = 0.023). The rs2853676 in TERT could increase the risk of COPD in the dominant model (“C/T‐T/T” genotype, p = 0.026) and in the Log‐additive model (p = 0.022). CONCLUSION: Our data shed new light on the association between TERT SNPs and COPD susceptibility in the Chinese Li population.
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spelling pubmed-66878612019-08-14 TERT gene polymorphisms are associated with chronic obstructive pulmonary disease risk in the Chinese Li population Ding, Yipeng Li, Quanni Wu, Cibing Wang, Wei Zhao, Jie Feng, Qiong Zhou, Xiaoman Xie, Yufei Lin, Mei He, Ping Xie, Pingdong Mol Genet Genomic Med Original Articles BACKGROUND: Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality worldwide and is characterized by a partially reversible airflow limitation. Currently, many studies put forward that COPD is associated with both genetic and environmental factors. It has been reported that germline mutations in telomerase are risk factors for COPD susceptibility. In this study, we validated the association between TERT polymorphisms and COPD risk with a case–control study in the Chinese Li population. METHODS: A total of 279 COPD patients and 290 control individuals were recruited. We identified five single nucleotide polymorphisms (SNPs) in TERT that were associated with COPD. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated in logistic regression models after adjusting for age and gender to assess the association. RESULTS: In the genetic model analysis, we found the “C/T‐T/T” genotype of rs10069690 in TERT was associated with an increased COPD risk in the dominant model (p = 0.046); the rs2853677 in TERT was significantly associated with increased COPD risk based on the codominant model (“A/G” genotype, p = 0.033), dominant model (A/G‐G/G genotype, p = 0.0091), and log‐additive model (p = 0.023). The rs2853676 in TERT could increase the risk of COPD in the dominant model (“C/T‐T/T” genotype, p = 0.026) and in the Log‐additive model (p = 0.022). CONCLUSION: Our data shed new light on the association between TERT SNPs and COPD susceptibility in the Chinese Li population. John Wiley and Sons Inc. 2019-07-03 /pmc/articles/PMC6687861/ /pubmed/31270965 http://dx.doi.org/10.1002/mgg3.773 Text en © 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Ding, Yipeng
Li, Quanni
Wu, Cibing
Wang, Wei
Zhao, Jie
Feng, Qiong
Zhou, Xiaoman
Xie, Yufei
Lin, Mei
He, Ping
Xie, Pingdong
TERT gene polymorphisms are associated with chronic obstructive pulmonary disease risk in the Chinese Li population
title TERT gene polymorphisms are associated with chronic obstructive pulmonary disease risk in the Chinese Li population
title_full TERT gene polymorphisms are associated with chronic obstructive pulmonary disease risk in the Chinese Li population
title_fullStr TERT gene polymorphisms are associated with chronic obstructive pulmonary disease risk in the Chinese Li population
title_full_unstemmed TERT gene polymorphisms are associated with chronic obstructive pulmonary disease risk in the Chinese Li population
title_short TERT gene polymorphisms are associated with chronic obstructive pulmonary disease risk in the Chinese Li population
title_sort tert gene polymorphisms are associated with chronic obstructive pulmonary disease risk in the chinese li population
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6687861/
https://www.ncbi.nlm.nih.gov/pubmed/31270965
http://dx.doi.org/10.1002/mgg3.773
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