ArticleCarcinogenesis2014
A genome-wide gene-gene interaction analysis identifies an epistatic gene pair for lung cancer susceptibility in Han Chinese.
Article in Carcinogenesis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 41 citations in OpenAlex.
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- A trans-omics assessment of gene-gene interaction in early-stage NSCLC.Molecular oncology · 2023Article
- A Large-Scale Genome-Wide Gene-Gene Interaction Study of Lung Cancer Susceptibility in Europeans With a Trans-Ethnic Validation in Asians.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2022Article
- Epigenome-wide gene-age interaction study reveals reversed effects ofFrontiers in oncology · 2022Article
- A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions.BioData mining · 2021Article
- Potential Genes Associated with the Survival of Lung Adenocarcinoma Were Identified by Methylation.Computational and mathematical methods in medicine · 2020Article
- The interaction effects between TLR4 and MMP9 gene polymorphisms contribute to aortic aneurysm risk in a Chinese Han population.BMC cardiovascular disorders · 2019Article
- Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development.Oncotarget · 2019Article
- Full genetic analysis for genome-wide association study of Fangji: a powerful approach for effectively dissecting the molecular architecture of personalized traditional Chinese medicine.Acta pharmacologica Sinica · 2018Review
- A Decade of GWAS Results in Lung Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018Review
- Impact of SNP-SNP interactions of DNA repair geneWorld journal of gastroenterology · 2018Article
- An Exploration of Gene-Gene Interactions and Their Effects on Hypertension.International journal of genomics · 2017Article
- Genetic variant in DNA repair gene GTF2H4 is associated with lung cancer risk: a large-scale analysis of six published GWAS datasets in the TRICL consortium.Carcinogenesis · 2016Article
- Genetic variants in regulatory regions of microRNAs are associated with lung cancer risk.Oncotarget · 2016Article
- Article
- Potentially functional polymorphisms in PAK1 are associated with risk of lung cancer in a Chinese population.Cancer medicine · 2015Article
- Progress of cancer genomics.Thoracic cancer · 2015Article
- SNP interactions of Helicobacter pylori-related host genes PGC, PTPN11, IL1B, and TLR4 in susceptibility to gastric carcinogenesis.Oncotarget · 2015Article
- The post GWAS era: strategies to identify gene-gene and gene-environment interactions in urinary bladder cancer.EXCLI journal · 2014Article
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Authors and funding
23 authors at 7 institutions in 2 countries.
Funding
Abstract
Lung cancer is the leading cause of cancer-related deaths worldwide. By now, genome-wide association studies (GWAS) have identified numerous loci associated with the risk of developing lung cancer. However, these loci account for only a small fraction of the familial lung cancer risk. We hypothesized that epistasis may contribute to the missing heritability. To test this hypothesis, we systematically evaluated the association of epistasis of genetic variants with risk of lung cancer in Han Chinese cohorts. We conducted a pairwise genetic interaction analysis of 591370 variants, using BOolean Operation-based Screening and Testing (BOOST), in an ongoing GWAS of lung cancer that includes 2331 cases and 3077 controls. Pairs of epistatic loci with P BOOST ≤ 1.00×10(-6) were further evaluated by a logistic regression model (LRM) with covariate adjustment. Four promising epistatic pairs identified at the screening stage (P LRM ≤ 2.86×10(-) (13)) were validated in two replication cohorts: the first from Beijing (1534 cases and 1489 controls) and the second from Shenyang and Guangzhou (2512 cases and 2449 controls). Using this combined analysis, we identified an interaction between rs2562796 and rs16832404 at 2p32.2 that was significantly associated with the risk of developing lung cancer (P LRM = 1.03×10(-13) in total 13 392 subjects). This study is the first investigation of epistasis for lung cancer on a genome-wide scale in Han Chinese. It addresses part of the missing heritability in lung cancer risk and provides novel insight into the multifactorial etiology of lung cancer.
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