ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2022
A Large-Scale Genome-Wide Gene-Gene Interaction Study of Lung Cancer Susceptibility in Europeans With a Trans-Ethnic Validation in Asians.
Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- The current state of polygenic scores for the development of lung cancer: a systematic review and validation in UK Biobank.British journal of cancer · 2026Pooled it
- EpiSNPdb: A Comprehensive Database of Genetic Epistasis Across Multiple Cancer Types.Current issues in molecular biology · 2026Article
- A trans-omics gene-smoking interaction study of lung cancer based on consortium data.American journal of respiratory and critical care medicine · 2026Article
- Identification of prognostic biomarkers and immunotherapy response predictors in lung adenocarcinoma: integrative Mendelian randomization and machine learning analysis.Translational lung cancer research · 2026Article
- Impact of interaction between interleukin-27 gene polymorphisms and smoking with susceptibility to non-small cell lung cancer in Chinese Han population.World journal of surgical oncology · 2026Article
- Article
- Proteome-wide Mendelian randomization and colocalization analysis uncovers druggable targets for lung cancer across multiple phenotypes and complications.Discover oncology · 2025Article
- Potential Therapeutic Targets for Neuroblastoma Screened through Mendelian Randomization Analysis.Archives of Iranian medicine · 2025Article
- Investigating the Shared Genetic Architecture Between Leukocyte Telomere Length and Prostate Cancer.The world journal of men's health · 2025Article
- CLPTM1L interacts with ERLIN2 to stabilize SREBP1 and drive tumorigenesis in nasopharyngeal carcinoma.Cell death & disease · 2025Article
- A profile of lung cancer in the young population with a highlight on the Indian perspective.Frontiers in oncology · 2025Review
- Review on GPU accelerated methods for genome-wide SNP-SNP interactions.Molecular genetics and genomics : MGG · 2024Review
- Dissecting the pathogenic effects of smoking in blood DNA methylation on allergic diseases.The World Allergy Organization journal · 2024Article
- Lung Cancer in Ever- and Never-Smokers: Findings from Multi-Population GWAS Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- Proteome-wide Mendelian randomization identifies causal plasma proteins in lung cancer.iScience · 2024Article
- Prevalence of BRCA1, BRCA2, and PALB2 genomic alterations among 924 Taiwanese breast cancer assays with tumor-only targeted sequencing: extended data analysis from the VGH-TAYLOR study.Breast cancer research : BCR · 2023Article
- Bayesian Approaches in Exploring Gene-environment and Gene-gene Interactions: A Comprehensive Review.Cancer genomics & proteomics · 2023Review
- New insights into the biology and development of lung cancer in never smokers-implications for early detection and treatment.Journal of translational medicine · 2023Review
- ATHENA: an independently validated autophagy-related epigenetic prognostic prediction model of head and neck squamous cell carcinoma.Clinical epigenetics · 2023Article
- A trans-omics assessment of gene-gene interaction in early-stage NSCLC.Molecular oncology · 2023Article
Corrections and comments
- Commented on by
- Commented on by
- Commented on by
Authors and funding
51 authors at 20 institutions in 13 countries.
Funding
Abstract
introductionAlthough genome-wide association studies have been conducted to investigate genetic variation of lung tumorigenesis, little is known about gene-gene (G × G) interactions that may influence the risk of non-small cell lung cancer (NSCLC).
methodsLeveraging a total of 445,221 European-descent participants from the International Lung Cancer Consortium OncoArray project, Transdisciplinary Research in Cancer of the Lung and UK Biobank, we performed a large-scale genome-wide G × G interaction study on European NSCLC risk by a series of analyses. First, we used BiForce to evaluate and rank more than 58 billion G × G interactions from 340,958 single-nucleotide polymorphisms (SNPs). Then, the top interactions were further tested by demographically adjusted logistic regression models. Finally, we used the selected interactions to build lung cancer screening models of NSCLC, separately, for never and ever smokers.
resultsWith the Bonferroni correction, we identified eight statistically significant pairs of SNPs, which predominantly appeared in the 6p21.32 and 5p15.33 regions (e.g., rs521828
conclusionsImportant G × G interactions were identified and enriched in the 5p15.33 and 6p21.32 regions, which may enhance lung cancer screening models.
Indexed as
Identifiers
What OpenQuestion holds
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.