Weak sharing of genetic association signals in three lung cancer subtypes: evidence at the SNP, gene, regulation, and pathway levels

Abstract Background There are two main types of lung cancer: small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). NSCLC has many subtypes, but the two most common are lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). These subtypes are mainly classified by physiolo...

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Main Authors: Timothy D. O’Brien, Peilin Jia, Neil E. Caporaso, Maria Teresa Landi, Zhongming Zhao
Format: Article
Language:English
Published: BMC 2018-02-01
Series:Genome Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13073-018-0522-9
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spelling doaj-d6ef1b18d2e24f189655691c7256daf52020-11-25T00:02:40ZengBMCGenome Medicine1756-994X2018-02-0110111410.1186/s13073-018-0522-9Weak sharing of genetic association signals in three lung cancer subtypes: evidence at the SNP, gene, regulation, and pathway levelsTimothy D. O’Brien0Peilin Jia1Neil E. Caporaso2Maria Teresa Landi3Zhongming Zhao4Vanderbilt Genetics Institute, Vanderbilt University School of MedicineCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at HoustonDivision of Cancer Epidemiology and Genetics, National Cancer InstituteDivision of Cancer Epidemiology and Genetics, National Cancer InstituteVanderbilt Genetics Institute, Vanderbilt University School of MedicineAbstract Background There are two main types of lung cancer: small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). NSCLC has many subtypes, but the two most common are lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). These subtypes are mainly classified by physiological and pathological characteristics, although there is increasing evidence of genetic and molecular differences as well. Although some work has been done at the somatic level to explore the genetic and biological differences among subtypes, little work has been done that interrogates these differences at the germline level to characterize the unique and shared susceptibility genes for each subtype. Methods We used single-nucleotide polymorphisms (SNPs) from a genome-wide association study (GWAS) of European samples to interrogate the similarity of the subtypes at the SNP, gene, pathway, and regulatory levels. We expanded these genotyped SNPs to include all SNPs in linkage disequilibrium (LD) using data from the 1000 Genomes Project. We mapped these SNPs to several lung tissue expression quantitative trait loci (eQTL) and enhancer datasets to identify regulatory SNPs and their target genes. We used these genes to perform a biological pathway analysis for each subtype. Results We identified 8295, 8734, and 8361 SNPs with moderate association signals for LUAD, LUSC, and SCLC, respectively. Those SNPs had p < 1 × 10− 3 in the original GWAS or were within LD (r 2 > 0.8, Europeans) to the genotyped SNPs. We identified 215, 320, and 172 disease-associated genes for LUAD, LUSC, and SCLC, respectively. Only five genes (CHRNA5, IDH3A, PSMA4, RP11-650 L12.2, and TBC1D2B) overlapped all subtypes. Furthermore, we observed only two pathways from the Kyoto Encyclopedia of Genes and Genomes shared by all subtypes. At the regulatory level, only three eQTL target genes and two enhancer target genes overlapped between all subtypes. Conclusions Our results suggest that the three lung cancer subtypes do not share much genetic signal at the SNP, gene, pathway, or regulatory level, which differs from the common subtype classification based upon histology. However, three (CHRNA5, IDH3A, and PSMA4) of the five genes shared between the subtypes are well-known lung cancer genes that may act as general lung cancer genes regardless of subtype.http://link.springer.com/article/10.1186/s13073-018-0522-9GWASeQTLEnhancerLung cancer subtypeFunctional genomicsPathway analysis
collection DOAJ
language English
format Article
sources DOAJ
author Timothy D. O’Brien
Peilin Jia
Neil E. Caporaso
Maria Teresa Landi
Zhongming Zhao
spellingShingle Timothy D. O’Brien
Peilin Jia
Neil E. Caporaso
Maria Teresa Landi
Zhongming Zhao
Weak sharing of genetic association signals in three lung cancer subtypes: evidence at the SNP, gene, regulation, and pathway levels
Genome Medicine
GWAS
eQTL
Enhancer
Lung cancer subtype
Functional genomics
Pathway analysis
author_facet Timothy D. O’Brien
Peilin Jia
Neil E. Caporaso
Maria Teresa Landi
Zhongming Zhao
author_sort Timothy D. O’Brien
title Weak sharing of genetic association signals in three lung cancer subtypes: evidence at the SNP, gene, regulation, and pathway levels
title_short Weak sharing of genetic association signals in three lung cancer subtypes: evidence at the SNP, gene, regulation, and pathway levels
title_full Weak sharing of genetic association signals in three lung cancer subtypes: evidence at the SNP, gene, regulation, and pathway levels
title_fullStr Weak sharing of genetic association signals in three lung cancer subtypes: evidence at the SNP, gene, regulation, and pathway levels
title_full_unstemmed Weak sharing of genetic association signals in three lung cancer subtypes: evidence at the SNP, gene, regulation, and pathway levels
title_sort weak sharing of genetic association signals in three lung cancer subtypes: evidence at the snp, gene, regulation, and pathway levels
publisher BMC
series Genome Medicine
issn 1756-994X
publishDate 2018-02-01
description Abstract Background There are two main types of lung cancer: small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). NSCLC has many subtypes, but the two most common are lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). These subtypes are mainly classified by physiological and pathological characteristics, although there is increasing evidence of genetic and molecular differences as well. Although some work has been done at the somatic level to explore the genetic and biological differences among subtypes, little work has been done that interrogates these differences at the germline level to characterize the unique and shared susceptibility genes for each subtype. Methods We used single-nucleotide polymorphisms (SNPs) from a genome-wide association study (GWAS) of European samples to interrogate the similarity of the subtypes at the SNP, gene, pathway, and regulatory levels. We expanded these genotyped SNPs to include all SNPs in linkage disequilibrium (LD) using data from the 1000 Genomes Project. We mapped these SNPs to several lung tissue expression quantitative trait loci (eQTL) and enhancer datasets to identify regulatory SNPs and their target genes. We used these genes to perform a biological pathway analysis for each subtype. Results We identified 8295, 8734, and 8361 SNPs with moderate association signals for LUAD, LUSC, and SCLC, respectively. Those SNPs had p < 1 × 10− 3 in the original GWAS or were within LD (r 2 > 0.8, Europeans) to the genotyped SNPs. We identified 215, 320, and 172 disease-associated genes for LUAD, LUSC, and SCLC, respectively. Only five genes (CHRNA5, IDH3A, PSMA4, RP11-650 L12.2, and TBC1D2B) overlapped all subtypes. Furthermore, we observed only two pathways from the Kyoto Encyclopedia of Genes and Genomes shared by all subtypes. At the regulatory level, only three eQTL target genes and two enhancer target genes overlapped between all subtypes. Conclusions Our results suggest that the three lung cancer subtypes do not share much genetic signal at the SNP, gene, pathway, or regulatory level, which differs from the common subtype classification based upon histology. However, three (CHRNA5, IDH3A, and PSMA4) of the five genes shared between the subtypes are well-known lung cancer genes that may act as general lung cancer genes regardless of subtype.
topic GWAS
eQTL
Enhancer
Lung cancer subtype
Functional genomics
Pathway analysis
url http://link.springer.com/article/10.1186/s13073-018-0522-9
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