Document Type

Article

Publication Date

10-7-2016

Publication Title

Scientific Reports

Department

Geisel School of Medicine

Abstract

Lung cancer etiology is multifactorial, and growing evidence has indicated that long non-coding RNAs (lncRNAs) are important players in lung carcinogenesis. We performed a large-scale meta-analysis of690,564 SNPs in 15,531 autosomal lncRNAs by using datasets from six previously published genome-wideassociation studies (GWASs) from the Transdisciplinary Research in Cancer of the Lung (TRICL) consortiumin populations of European ancestry. Previously unreported significant SNPs (P value < 1 × 10−7) were further validated in two additional independent lung cancer GWAS datasets from Harvard University anddeCODE. In the final meta-analysis of all eight GWAS datasets with 17,153 cases and 239,337 controls, a novel risk SNP rs114020893 in the lncRNA NEXN-AS1 region at 1p31.1 remained statistically significant(odds ratio = 1.17; 95% confidence interval = 1.11–1.24; P = 8.31 × 10−9). In further in silico analysis,rs114020893 was predicted to change the secondary structure of the lncRNA. Our finding indicates that SNP rs114020893 of NEXN-AS1 at 1p31.1 may contribute to lung cancer susceptibility.

DOI

10.1038/srep34234

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