Deciphering associations for lung cancer risk through imputation and analysis of 12 316 cases and 16 831 controls

Yufei Wang, Yongyue Wei, Valerie Gaborieau, Jianxin Shi, Younghun Han, Maria N Timofeeva, Li Su, Yafang Li, Timothy Eisen, Christopher I Amos, Maria Teresa Landi, David C Christiani, James D McKay, Richard S Houlston

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1723-8
Number of pages6
JournalEuropean Journal of Human Genetics
Volume23
Issue number12
DOIs
Publication statusPublished - 25 Mar 2015

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