ArticleCarcinogenesis2012
Genome-wide gene-environment interaction analysis for asbestos exposure in lung cancer susceptibility.
Article in Carcinogenesis, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.
- APE1 Asp148Glu polymorphism and lung cancer susceptibility.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014Pooled it
- Meta-analysis identifies gene-by-environment interactions as demonstrated in a study of 4,965 mice.PLoS genetics · 2014Pooled it
- Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies.Molecular oncology · 2026Article
- Functional Characterization of the Hephaestin Variant D568H Provides Novel Mechanistic Insights on Iron-Dependent Asbestos-Induced Carcinogenesis.International journal of molecular sciences · 2025Article
- A profile of lung cancer in the young population with a highlight on the Indian perspective.Frontiers in oncology · 2025Review
- Etiology of lung cancer: Evidence from epidemiologic studies.Journal of the National Cancer Center · 2022Review
- Variant Enrichment Analysis to Explore Pathways Disruption in a Necropsy Series of Asbestos-Exposed Shipyard Workers.International journal of molecular sciences · 2022Article
- Gene-gene interaction of AhRwith and within the Wntcascade affects susceptibility to lung cancer.European journal of medical research · 2022Article
- Asbestos, Smoking and Lung Cancer: An Update.International journal of environmental research and public health · 2019Review
- Gene-by-environment interactions in Alzheimer's disease and Parkinson's disease.Neuroscience and biobehavioral reviews · 2019Review
- Article
- 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
- Incorporation of Biological Knowledge Into the Study of Gene-Environment Interactions.American journal of epidemiology · 2017Article
- Glucocorticoid therapy regulates podocyte motility by inhibition of Rac1.Scientific reports · 2017Article
- What Does "Precision Medicine" Have to Say About Prevention?Epidemiology (Cambridge, Mass.) · 2017Article
- SNP by SNP by environment interaction network of alcoholism.BMC systems biology · 2017Article
- Assessment of Multifactor Gene-Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016Article
- Accounting for Population Structure in Gene-by-Environment Interactions in Genome-Wide Association Studies Using Mixed Models.PLoS genetics · 2016Article
- In Search of 'Birth Month Genes': Using Existing Data Repositories to Locate Genes Underlying Birth Month-Disease Relationships.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016Article
- Genome-wide Gene-Asbestos Exposure Interaction Association Study Identifies a Common Susceptibility Variant on 22q13.31 Associated with Lung Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
Asbestos exposure is a known risk factor for lung cancer. Although recent genome-wide association studies (GWASs) have identified some novel loci for lung cancer risk, few addressed genome-wide gene-environment interactions. To determine gene-asbestos interactions in lung cancer risk, we conducted genome-wide gene-environment interaction analyses at levels of single nucleotide polymorphisms (SNPs), genes and pathways, using our published Texas lung cancer GWAS dataset. This dataset included 317 498 SNPs from 1154 lung cancer cases and 1137 cancer-free controls. The initial SNP-level P-values for interactions between genetic variants and self-reported asbestos exposure were estimated by unconditional logistic regression models with adjustment for age, sex, smoking status and pack-years. The P-value for the most significant SNP rs13383928 was 2.17×10(-6), which did not reach the genome-wide statistical significance. Using a versatile gene-based test approach, we found that the top significant gene was C7orf54, located on 7q32.1 (P = 8.90×10(-5)). Interestingly, most of the other significant genes were located on 11q13. When we used an improved gene-set-enrichment analysis approach, we found that the Fas signaling pathway and the antigen processing and presentation pathway were most significant (nominal P < 0.001; false discovery rate < 0.05) among 250 pathways containing 17 572 genes. We believe that our analysis is a pilot study that first describes the gene-asbestos interaction in lung cancer risk at levels of SNPs, genes and pathways. Our findings suggest that immune function regulation-related pathways may be mechanistically involved in asbestos-associated lung cancer risk.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.