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

  • Zhijie Han
  • , Qinghua Jiang*
  • , Tianjiao Zhang
  • , Xiaoliang Wu
  • , Rui Ma
  • , Jixuan Wang
  • , Yang Bai
  • , Rongjie Wang
  • , Renjie Tan
  • , Yadong Wang
  • *Corresponding author for this work
  • School of Life Science and Technology, Harbin Institute of Technology
  • School of Computer Science and Technology, Harbin Institute of Technology
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number15642
JournalScientific Reports
Volume5
DOIs
StatePublished - 28 Oct 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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