Nature Genetics 2017-06-12

Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes

James D McKay, Rayjean J Hung, Younghun Han, Xuchen Zong, Robert Carreras-Torres, David C Christiani, Neil E Caporaso, Mattias Johansson, Xiangjun Xiao, Yafang Li, Jinyoung Byun, Alison Dunning, Karen A Pooley, David C Qian, Xuemei Ji, Geoffrey Liu, Maria N Timofeeva, Stig E Bojesen, Xifeng Wu, Loic Le Marchand, Demetrios Albanes, Heike Bickeböller, Melinda C Aldrich, William S Bush, Adonina Tardon, Gad Rennert, M Dawn Teare, John K Field, Lambertus A Kiemeney, Philip Lazarus, Aage Haugen, Stephen Lam, Matthew B Schabath, Angeline S Andrew, Hongbing Shen, Yun-Chul Hong, Jian-Min Yuan, Pier Alberto Bertazzi, Angela C Pesatori, Yuanqing Ye, Nancy Diao, Li Su, Ruyang Zhang, Yonathan Brhane, Natasha Leighl, Jakob S Johansen, Anders Mellemgaard, Walid Saliba, Christopher A Haiman, Lynne R Wilkens, Ana Fernandez-Somoano, Guillermo Fernandez-Tardon, Henricus F M van der Heijden, Jin Hee Kim, Juncheng Dai, Zhibin Hu, Michael P A Davies, Michael W Marcus, Hans Brunnström, Jonas Manjer..

文献索引：10.1038/ng.3892

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摘要

Christopher Amos and colleagues perform genome-wide association analysis for lung cancer using cohorts genotyped on the OncoArray and combing these with existing data. They identify 18 loci, 10 of which are new, finding heterogeneity across the different lung cancer subtypes, and explore candidate genes through eQTL analysis in lung tissue.