Dataset Information

Genetic variations in EGFR and ERBB4 increase susceptibility to cervical cancer.

ABSTRACT: Inherited genetic variability contributes to susceptibility to cervical cancer. We investigated the association of single nucleotide polymorphisms (SNPs) in the human epidermal growth factor receptor (ERBB) family with cervical cancer.We used the transmission disequilibrium test (TDT) to look for excessive transmission of tag single nucleotide polymorphisms (tSNPs) in ERBB family members EGFR, ERBB2, ERBB3, and ERBB4 in a large sample of women with invasive and in situ cervical cancer and their biological parents (628 trios). The study used a discovery set of trios (244) analyzed by Illumina GoldenGate in which SNPs reaching a P<.05 were re-tested by TaqMan in the combined set of 628. We also explored collaborative effects of different ERBB alleles.Based on single SNP TDT tests we identified 16 significant SNPs in the discover stage and six of 14 SNPs that could be assayed by TaqMan were significantly overtransmitted in women with cervical cancer in the combined replication set. Four SNPs were located in intron 1 of EGFR and two SNPs in intron 24 of ERBB4. The EGFR variants are located near multiple enhancers, silencers, and the previously identified functional common polymorphisms in intron 1.Our data provide evidence for the involvement of intron 1 EGFR variants and intron 24 ERBB4 variants in modulating risk for the development of in situ and invasive cervical cancer. These variants should be examined in additional populations and functional studies would be needed to confirm this hypothesis.

SUBMITTER: Ma D

PROVIDER: S-EPMC3831657 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Genetic variations in EGFR and ERBB4 increase susceptibility to cervical cancer.

Ma Duanduan D Hovey Raymond L RL Zhang Zhengyan Z Fye Samantha S Huettner Phyllis C PC Borecki Ingrid B IB Rader Janet S JS

Gynecologic oncology 20130806 2

<h4>Objectives</h4>Inherited genetic variability contributes to susceptibility to cervical cancer. We investigated the association of single nucleotide polymorphisms (SNPs) in the human epidermal growth factor receptor (ERBB) family with cervical cancer.<h4>Methods</h4>We used the transmission disequilibrium test (TDT) to look for excessive transmission of tag single nucleotide polymorphisms (tSNPs) in ERBB family members EGFR, ERBB2, ERBB3, and ERBB4 in a large sample of women with invasive and ...[more]

PMID: 23927961

Similar Datasets

Project description:BackgroundCancer initiation and development are driven by key mutations in driver genes. Applying high-throughput sequencing technologies and bioinformatic analyses, The Cancer Genome Atlas (TCGA) project has identified panels of somatic mutations that contributed to the etiology of various cancers. However, there are few studies investigating the germline genetic variations in these significantly mutated genes (SMGs) and lung cancer susceptibility.Patients and methodsWe comprehensively evaluated 1655 tagged single nucleotide polymorphisms (SNPs) located in 127 SMGs identified by TCGA, and test their association with lung cancer risk in large-scale case-control study. Functional effect of the validated SNPs, gene mutation frequency and pathways were analyzed.ResultsWe found 11 SNPs in 8 genes showed consistent association (P < 0.1) and 8 SNPs significantly associated with lung cancer risk (P < 0.05) in both discovery and validation phases. The most significant association was rs10412613 in PPP2R1A, with the minor G allele associated with a decreased risk of lung cancer [odds ratio = 0.91, 95% confidence interval (CI): 0.87-0.96, P = 2.3 × 10-4]. Cumulative analysis of risk score built as a weight sum of the 11 SNPs showed consistently elevated risk with increasing risk score (P for trend = 9.5 × 10-9). In stratified analyses, the association of PPP2R1A:rs10412613 and lung cancer risk appeared stronger among population of younger age at diagnosis and never smokers. The expression quantitative trait loci analysis indicated that rs10412613, rs10804682, rs635469 and rs6742399 genotypes significantly correlated with the expression of PPP2R1A, ATR, SETBP1 and ERBB4, respectively. From TCGA data, expression of the identified genes was significantly different in lung tumors compared with normal tissues, and the genes' highest mutation frequency was found in lung cancers. Integrative pathway analysis indicated the identified genes were mainly involved in AKT/NF-κB regulatory pathway suggesting the underlying biological processes.ConclusionThis study revealed novel genetic variants in SMGs associated with lung cancer risk, which might contribute to elucidating the biological network involved in lung cancer development.

Dataset Information

Genetic variations in EGFR and ERBB4 increase susceptibility to cervical cancer.

Publications

Genetic variations in EGFR and ERBB4 increase susceptibility to cervical cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets