ReviewCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2018
A Decade of GWAS Results in Lung Cancer.
Review in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 15 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
133 citing papers in PubMed, 15 syntheses or guidelines pooled it.
- Genome-wide meta-analysis across East Asian and European populations provides insights into the molecular basis of lung cancer.Genome medicine · 2026Pooled it
- 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
- Differences in the risk association of TERT rs2736098 (C > T) with lung cancer between Caucasian and Asian populations: A meta-analysis.Scientific reports · 2025Pooled it
- Pooled it
- Multi-ancestry GWAS meta-analyses of lung cancer reveal susceptibility loci and elucidate smoking-independent genetic risk.Nature communications · 2024Pooled it
- Association of rs401681 (C > T) and rs402710 (C > T) polymorphisms in the CLPTM1L region with risk of lung cancer: a systematic review and meta-analysis.Scientific reports · 2024Pooled it
- Pooled 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
- Impact of Smoking on Response to the First-Line Treatment of Advanced ALK-Positive Non-Small Cell Lung Cancer: A Bayesian Network Meta-Analysis.Frontiers in pharmacology · 2022Pooled it
- False positive findings during genome-wide association studies with imputation: influence of allele frequency and imputation accuracy.Human molecular genetics · 2021Pooled it
- The Shared Genetic Architectures Between Lung Cancer and Multiple Polygenic Phenotypes in Genome-Wide Association Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021Pooled it
- Comprehensive functional annotation of susceptibility variants identifies genetic heterogeneity between lung adenocarcinoma and squamous cell carcinoma.Frontiers of medicine · 2021Pooled it
- Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk.International journal of cancer · 2020Pooled it
- Identification of risk loci and a polygenic risk score for lung cancer: a large-scale prospective cohort study in Chinese populations.The Lancet. Respiratory medicine · 2019Pooled it
- Associations of genetic risk, BMI trajectories, and the risk of non-small cell lung cancer: a population-based cohort study.BMC medicine · 2022Trial
- Review
- Clinical usefulness of polygenic risk scores in risk prediction models for lung cancer screening and lung nodule management.Translational oncology · 2026Article
- Spatiotemporal Profiling Defines the Epithelial and Mesenchymal Transition Window in Embryonic Lung Morphogenesis.Journal of developmental biology · 2026Article
- Accelerating discovery of cancer causes for prevention in the era of rising early-onset cancers.Cell · 2026Review
73 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Genome-wide association studies (GWAS) were successful to identify genetic factors robustly associated with lung cancer. This review aims to synthesize the literature in this field and accelerate the translation of GWAS discoveries into results that are closer to clinical applications. A chronologic presentation of published GWAS on lung cancer susceptibility, survival, and response to treatment is presented. The most important results are tabulated to provide a concise overview in one read. GWAS have reported 45 lung cancer susceptibility loci with varying strength of evidence and highlighted suspected causal genes at each locus. Some genetic risk loci have been refined to more homogeneous subgroups of lung cancer patients in terms of histologic subtypes, smoking status, gender, and ethnicity. Overall, these discoveries are an important step for future development of new therapeutic targets and biomarkers to personalize and improve the quality of care for patients. GWAS results are on the edge of offering new tools for targeted screening in high-risk individuals, but more research is needed if GWAS are to pay off the investment. Complementary genomic datasets and functional studies are needed to refine the underlying molecular mechanisms of lung cancer preliminarily revealed by GWAS and reach results that are medically actionable.
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What Socratic 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 Socratic graph.