Wang Yufei, Wei Yongyue, Gaborieau Valerie, Shi Jianxin, Han Younghun, Timofeeva Maria N, Su Li, Li Yafang, Eisen Timothy, Amos Christopher I, Landi Maria Teresa, Christiani David C, McKay James D, Houlston Richard S
Division of Genetics and Epidemiology, The Institute of Cancer Research, Surrey, Sutton, UK.
Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA.
Eur J Hum Genet. 2015 Dec;23(12):1723-8. doi: 10.1038/ejhg.2015.48. Epub 2015 Mar 25.
Recent genome-wide association studies have identified common variants at multiple loci influencing lung cancer risk. To decipher the genetic basis of the association signals at 3q28, 5p15.33, 6p21.33, 9p21 and 12p13.33, we performed a meta-analysis of data from five genome-wide association studies in populations of European ancestry totalling 12 316 lung cancer cases and 16 831 controls using imputation to recover untyped genotypes. For four of the regions, it was possible to refine the association signal identifying a smaller region of interest likely to harbour the functional variant. Our analysis did not provide evidence that any of the associations at the loci being a consequence of synthetic associations rather than linkage disequilibrium with a common risk variant at these risk loci.
近期全基因组关联研究已在多个位点鉴定出影响肺癌风险的常见变异。为了解析位于3q28、5p15.33、6p21.33、9p21和12p13.33的关联信号的遗传基础,我们对五项欧洲裔人群全基因组关联研究的数据进行了荟萃分析,这些研究共有12316例肺癌病例和16831例对照,采用归因法恢复未分型的基因型。对于其中四个区域,有可能细化关联信号,从而确定一个更可能包含功能变异的较小感兴趣区域。我们的分析没有提供证据表明这些位点的任何关联是由合成关联导致的,而非与这些风险位点的常见风险变异处于连锁不平衡状态。