Associations between genetic variants in mRNA splicing-related genes and risk of lung cancer: a pathway-based analysis from published GWASs.
Abstract
mRNA splicing is an important mechanism to regulate mRNA expression. Abnormal regulation
of this process may lead to lung cancer. Here, we investigated the associations of
11,966 single-nucleotide polymorphisms (SNPs) in 206 mRNA splicing-related genes with
lung cancer risk by using the summary data from six published genome-wide association
studies (GWASs) of Transdisciplinary Research in Cancer of the Lung (TRICL) (12,160
cases and 16,838 controls) and another two lung cancer GWASs of Harvard University
(984 cases and 970 controls) and deCODE (1,319 cases and 26,380 controls). We found
that a total of 12 significant SNPs with false discovery rate (FDR) ≤0.05 were mapped
to one novel gene PRPF6 and two previously reported genes (DHX16 and LSM2) that were
also confirmed in this study. The six novel SNPs in PRPF6 were in high linkage disequilibrium
and associated with PRPF6 mRNA expression in lymphoblastoid cells from 373 Europeans
in the 1000 Genomes Project. Taken together, our studies shed new light on the role
of mRNA splicing genes in the development of lung cancer.
Type
Journal articleSubject
HumansLung Neoplasms
Genetic Predisposition to Disease
RNA, Messenger
Risk Factors
Reproducibility of Results
RNA Splicing
Linkage Disequilibrium
Polymorphism, Single Nucleotide
Quantitative Trait Loci
Genome-Wide Association Study
Molecular Sequence Annotation
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https://hdl.handle.net/10161/23441Published Version (Please cite this version)
10.1038/srep44634Publication Info
Pan, Yongchu; Liu, Hongliang; Wang, Yanru; Kang, Xiaozheng; Liu, Zhensheng; Owzar,
Kouros; ... Wei, Qingyi (2017). Associations between genetic variants in mRNA splicing-related genes and risk of lung
cancer: a pathway-based analysis from published GWASs. Scientific reports, 7(1). pp. 44634. 10.1038/srep44634. Retrieved from https://hdl.handle.net/10161/23441.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Zhensheng Liu
Assistant Professor of Medicine
Kouros Owzar
Professor of Biostatistics & Bioinformatics
cancer pharmacogenomicsdrug induced neuropathy, neutropenia and hypertensionstatistical
genetics statistical methods for high-dimensional data copulas survival analysis statistical
computing
Qingyi Wei
Professor in Population Health Sciences
Qingyi Wei, MD, PhD, Professor in the Department of Medicine, is Associate Director
for Cancer Control and Population Sciences, Co-leader of CCPS and Co-leader of Epidemiology
and Population Genomics (Focus Area 1). He is a professor of Medicine and an internationally
recognized epidemiologist focused on the molecular and genetic epidemiology of head
and neck cancers, lung cancer, and melanoma. His research focuses on biomarkers and
genetic determinants for the DNA repair deficient phenotype and
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