ArticleInternational journal of cancer2020
Transcriptome-wide association study reveals candidate causal genes for lung cancer.
Article in International journal of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 6 of them syntheses 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
46 citing papers in PubMed, 6 syntheses or guidelines pooled it, 68 citations in OpenAlex.
- Genome-wide meta-analysis across East Asian and European populations provides insights into the molecular basis of lung cancer.Genome medicine · 2026Pooled it
- Multiancestry Transcriptome-Wide Association Study Identifies Candidate Genes Associated with Hepatoblastoma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Pooled it
- Multi-ancestry GWAS meta-analyses of lung cancer reveal susceptibility loci and elucidate smoking-independent genetic risk.Nature communications · 2024Pooled it
- Pooled it
- Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer.Nature genetics · 2022Pooled it
- Pooled it
- Aquaporin 3 Promoter Polymorphisms Reduce Gene Expression and Associate Altered Autophagy-Related Gene Signatures With Atopic Dermatitis Susceptibility.Experimental dermatology · 2026Article
- Identifying expression and DNA methylation biomarkers for lung adenocarcinoma risk in East Asia.Journal of the National Cancer Institute · 2026Article
- Single-cell full-length transcriptome of human lung reveals genetic effects on isoform regulation beyond gene-level expression.bioRxiv : the preprint server for biology · 2026Article
- Single-cell lung eQTL dataset of Asian never-smokers highlights the roles of alveolar cells in lung cancer etiology.bioRxiv : the preprint server for biology · 2026Article
- Large-scale integration of omics and electronic health records to identify potential risk protein biomarkers and therapeutic drugs for cancer prevention.American journal of human genetics · 2026Article
- Advances in the Basic Sciences in Thoracic Oncology in the Last 20 Years and Their Translational Impact.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026Review
- Identification of JAML as an Immune-Associated Prognostic Marker in Non-Small Cell Lung Cancer.Lung Cancer (Auckland, N.Z.) · 2026Article
- A Transcriptome-Wide Association Study Identifies Candidate Susceptibility Loci and Genes for Lung Cancer Risk.Cancer medicine · 2025Article
- Transcriptome-wide association study of alternative polyadenylation identifies susceptibility genes in non-small cell lung cancer.Oncogene · 2025Article
- A Multi-omic study integrating plasma protein, multiple tissues, and single-cell identifies RNASET2 as a key gene for lung cancer.Discover oncology · 2025Article
- Enhancing disease risk gene discovery by integrating transcription factor-linked trans-variants into transcriptome-wide association analyses.Nucleic acids research · 2025Article
- Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies.Journal of the American Statistical Association · 2025Article
- Article
- Context-aware single-cell multiomics approach identifies cell-type-specific lung cancer susceptibility genes.Nature communications · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
48 authors at 20 institutions in 13 countries.
Funding
Abstract
We have recently completed the largest GWAS on lung cancer including 29,266 cases and 56,450 controls of European descent. The goal of our study has been to integrate the complete GWAS results with a large-scale expression quantitative trait loci (eQTL) mapping study in human lung tissues (n = 1,038) to identify candidate causal genes for lung cancer. We performed transcriptome-wide association study (TWAS) for lung cancer overall, by histology (adenocarcinoma, squamous cell carcinoma and small cell lung cancer) and smoking subgroups (never- and ever-smokers). We performed replication analysis using lung data from the Genotype-Tissue Expression (GTEx) project. DNA damage assays were performed in human lung fibroblasts for selected TWAS genes. As expected, the main TWAS signal for all histological subtypes and ever-smokers was on chromosome 15q25. The gene most strongly associated with lung cancer at this locus using the TWAS approach was IREB2 (p
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.