Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes
Research output: Contribution to journal › Letter › Research › peer-review
Accepted author manuscript, 826 KB, PDF document
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 & 37 others
Although several lung cancer susceptibility loci have been identified, much of the heritability for lung cancer remains unexplained. Here 14,803 cases and 12,262 controls of European descent were genotyped on the OncoArray and combined with existing data for an aggregated genome-wide association study (GWAS) analysis of lung cancer in 29,266 cases and 56,450 controls. We identified 18 susceptibility loci achieving genome-wide significance, including 10 new loci. The new loci highlight the striking heterogeneity in genetic susceptibility across the histological subtypes of lung cancer, with four loci associated with lung cancer overall and six loci associated with lung adenocarcinoma. Gene expression quantitative trait locus (eQTL) analysis in 1,425 normal lung tissue samples highlights RNASET2, SECISBP2L and NRG1 as candidate genes. Other loci include genes such as a cholinergic nicotinic receptor, CHRNA2, and the telomere-related genes OFBC1 and RTEL1. Further exploration of the target genes will continue to provide new insights into the etiology of lung cancer.
|Number of pages||7|
|Publication status||Published - 2017|
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