作者
Ruyang Zhang, Sipeng Shen, Yongyue Wei, Ying Zhu, Yi Li, Jiajin Chen, Jinxing Guan, Zoucheng Pan, Yuzhuo Wang, Meng Zhu, Junxing Xie, Xiangjun Xiao, Dakai Zhu, Yafang Li, Demetrios Albanes, Maria Teresa Landi, Neil E Caporaso, Stephen Lam, Adonina Tardon, Chu Chen, Stig E Bojesen, Mattias Johansson, Angela Risch, Heike Bickeböller, H-Erich Wichmann, Gadi Rennert, Susanne Arnold, Paul Brennan, James D McKay, John K Field, Sanjay S Shete, Loic Le Marchand, Geoffrey Liu, Angeline S Andrew, Lambertus A Kiemeney, Shan Zienolddiny-Narui, Annelie Behndig, Mikael Johansson, Angela Cox, Philip Lazarus, Matthew B Schabath, Melinda C Aldrich, Juncheng Dai, Hongxia Ma, Yang Zhao, Zhibin Hu, Rayjean J Hung, Christopher I Amos, Hongbing Shen, Feng Chen, David C Christiani
发表日期
2022/8/1
期刊
Journal of Thoracic Oncology
卷号
17
期号
8
页码范围
974-990
出版商
Elsevier
简介
Introduction
Although genome-wide association studies have been conducted to investigate genetic variation of lung tumorigenesis, little is known about gene-gene (G × G) interactions that may influence the risk of non-small cell lung cancer (NSCLC).
Methods
Leveraging a total of 445,221 European-descent participants from the International Lung Cancer Consortium OncoArray project, Transdisciplinary Research in Cancer of the Lung and UK Biobank, we performed a large-scale genome-wide G × G interaction study on European NSCLC risk by a series of analyses. First, we used BiForce to evaluate and rank more than 58 billion G × G interactions from 340,958 single-nucleotide polymorphisms (SNPs). Then, the top interactions were further tested by demographically adjusted logistic regression models. Finally, we used the selected interactions to build lung cancer screening models of NSCLC, separately, for …
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