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Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility

The early genome-wide association studies (GWAS) found a significant association between lung cancer and rs1051730 (15q25) polymorphism. However, the subsequent studies reported consistent and inconsistent results in different populations. Three meta-analysis studies were thus performed to reevaluat...

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Autores principales: Han, Zhijie, Jiang, Qinghua, Zhang, Tianjiao, Wu, Xiaoliang, Ma, Rui, Wang, Jixuan, Bai, Yang, Wang, Rongjie, Tan, Renjie, Wang, Yadong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4623668/
https://www.ncbi.nlm.nih.gov/pubmed/26508385
http://dx.doi.org/10.1038/srep15642
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author Han, Zhijie
Jiang, Qinghua
Zhang, Tianjiao
Wu, Xiaoliang
Ma, Rui
Wang, Jixuan
Bai, Yang
Wang, Rongjie
Tan, Renjie
Wang, Yadong
author_facet Han, Zhijie
Jiang, Qinghua
Zhang, Tianjiao
Wu, Xiaoliang
Ma, Rui
Wang, Jixuan
Bai, Yang
Wang, Rongjie
Tan, Renjie
Wang, Yadong
author_sort Han, Zhijie
collection PubMed
description The early genome-wide association studies (GWAS) found a significant association between lung cancer and rs1051730 (15q25) polymorphism. However, the subsequent studies reported consistent and inconsistent results in different populations. Three meta-analysis studies were thus performed to reevaluate the association. But their results remain inconsistent. After that, some new GWAS studies reported conflicting results again. We think that the divergence of these results may be due to small-scale samples or heterogeneity among different populations. Therefore, we reevaluated the association by collecting more samples (N = 33,617 cases and 116,639 controls) from 31 studies, which incorporate 8 new studies and 23 previous studies used by one or more of the three meta-analysis studies. We observed a significant association between lung cancer and rs1051730 in pooled population by using allele (OR = 1.30, 95% CI = 1.27–1.34, P  <  0.0001), dominant (OR = 1.41, 95% CI = 1.29–1.55, P < 0.0001), recessive (OR = 1.53, 95% CI = 1.42–1.65, P < 0.0001) and additive (OR = 1.75, 95% CI = 1.61–1.90, P < 0.0001) models. Through the subgroup analysis, we observed a significant heterogeneity only in East Asian population (P = 0.006, I(2) = 66.9%), and the association is significant in all subgroups (OR = 1.2976, 95% CI = 1.2622–1.3339 (European ancestry), OR = 1.5025, 95% CI = 1.2465–1.8110 (African), OR = 1.7818, 95% CI = 1.3915–2.2815 (East Asian), P < 0.0001). We believe that these results will contribute to understanding the genetic mechanism of lung cancer.
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spelling pubmed-46236682015-11-03 Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility Han, Zhijie Jiang, Qinghua Zhang, Tianjiao Wu, Xiaoliang Ma, Rui Wang, Jixuan Bai, Yang Wang, Rongjie Tan, Renjie Wang, Yadong Sci Rep Article The early genome-wide association studies (GWAS) found a significant association between lung cancer and rs1051730 (15q25) polymorphism. However, the subsequent studies reported consistent and inconsistent results in different populations. Three meta-analysis studies were thus performed to reevaluate the association. But their results remain inconsistent. After that, some new GWAS studies reported conflicting results again. We think that the divergence of these results may be due to small-scale samples or heterogeneity among different populations. Therefore, we reevaluated the association by collecting more samples (N = 33,617 cases and 116,639 controls) from 31 studies, which incorporate 8 new studies and 23 previous studies used by one or more of the three meta-analysis studies. We observed a significant association between lung cancer and rs1051730 in pooled population by using allele (OR = 1.30, 95% CI = 1.27–1.34, P  <  0.0001), dominant (OR = 1.41, 95% CI = 1.29–1.55, P < 0.0001), recessive (OR = 1.53, 95% CI = 1.42–1.65, P < 0.0001) and additive (OR = 1.75, 95% CI = 1.61–1.90, P < 0.0001) models. Through the subgroup analysis, we observed a significant heterogeneity only in East Asian population (P = 0.006, I(2) = 66.9%), and the association is significant in all subgroups (OR = 1.2976, 95% CI = 1.2622–1.3339 (European ancestry), OR = 1.5025, 95% CI = 1.2465–1.8110 (African), OR = 1.7818, 95% CI = 1.3915–2.2815 (East Asian), P < 0.0001). We believe that these results will contribute to understanding the genetic mechanism of lung cancer. Nature Publishing Group 2015-10-28 /pmc/articles/PMC4623668/ /pubmed/26508385 http://dx.doi.org/10.1038/srep15642 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Han, Zhijie
Jiang, Qinghua
Zhang, Tianjiao
Wu, Xiaoliang
Ma, Rui
Wang, Jixuan
Bai, Yang
Wang, Rongjie
Tan, Renjie
Wang, Yadong
Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility
title Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility
title_full Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility
title_fullStr Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility
title_full_unstemmed Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility
title_short Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility
title_sort analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4623668/
https://www.ncbi.nlm.nih.gov/pubmed/26508385
http://dx.doi.org/10.1038/srep15642
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