ReviewHuman molecular genetics2022
Functional studies of lung cancer GWAS beyond association.
Review in Human molecular genetics, 2022. 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
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
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 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
- Multi-ancestry GWAS meta-analyses of lung cancer reveal susceptibility loci and elucidate smoking-independent genetic risk.Nature communications · 2024Pooled it
- Machine learning-based proteogenomic data modeling identifies circulating plasma biomarkers for early detection of lung cancer.Communications medicine · 2026Article
- Therapeutic Targets for Lung Squamous Cell Carcinoma: Proteome-Wide Mendelian Randomization and Potential Drug Prediction.The clinical respiratory journal · 2026Article
- Formal Statistical Replication Analysis in Lung Cancer Genome-Wide Association Studies.medRxiv : the preprint server for health sciences · 2025Article
- A Transcriptome-Wide Association Study Identifies Candidate Susceptibility Loci and Genes for Lung Cancer Risk.Cancer medicine · 2025Article
- Genetic analysis in African ancestry populations reveals genetic contributors to lung cancer susceptibility.American journal of human genetics · 2025Article
- Shared genetics of lung cancer and type 2 diabetes: a large-scale genome-wide cross-trait analysis.Translational lung cancer research · 2025Article
- Non-coding genetic elements of lung cancer identified using whole genome sequencing in 13,722 Chinese.Nature communications · 2025Article
- Genome-wide association study for lung cancer in 6531 African Americans reveals new susceptibility loci.Human molecular genetics · 2025Article
- Transcriptome-wide association study of alternative polyadenylation identifies susceptibility genes in non-small cell lung cancer.Oncogene · 2025Article
- Bacterial genome-wide association studies: exploring the genetic variation underlying bacterial phenotypes.Applied and environmental microbiology · 2025Review
- A profile of lung cancer in the young population with a highlight on the Indian perspective.Frontiers in oncology · 2025Review
- Estimating the Number of Polygenic Diseases Among Six Mutually Exclusive Entities of Non-Tumors and Cancer.International journal of molecular sciences · 2024Review
- Context-aware single-cell multiomics approach identifies cell-type-specific lung cancer susceptibility genes.Nature communications · 2024Article
- The Personalized Inherited Signature Predisposing to Non-Small-Cell Lung Cancer in Non-Smokers.Cancers · 2024Article
- The HUNT lung-SNP model: genetic variants plus clinical variables improve lung cancer risk assessment over clinical models.Journal of cancer research and clinical oncology · 2024Article
- High-throughput characterization of functional variants highlights heterogeneity and polygenicity underlying lung cancer susceptibility.American journal of human genetics · 2024Article
- Single nucleotide variants in lung cancer.Chinese medical journal pulmonary and critical care medicine · 2024Review
- Identification of pathogenic germline variants in a large Chinese lung cancer cohort by clinical sequencing.Molecular oncology · 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
5 authors at 2 institutions in 1 country.
Funding
Abstract
Fourteen years after the first genome-wide association study (GWAS) of lung cancer was published, approximately 45 genomic loci have now been significantly associated with lung cancer risk. While functional characterization was performed for several of these loci, a comprehensive summary of the current molecular understanding of lung cancer risk has been lacking. Further, many novel computational and experimental tools now became available to accelerate the functional assessment of disease-associated variants, moving beyond locus-by-locus approaches. In this review, we first highlight the heterogeneity of lung cancer GWAS findings across histological subtypes, ancestries and smoking status, which poses unique challenges to follow-up studies. We then summarize the published lung cancer post-GWAS studies for each risk-associated locus to assess the current understanding of biological mechanisms beyond the initial statistical association. We further summarize strategies for GWAS functional follow-up studies considering cutting-edge functional genomics tools and providing a catalog of available resources relevant to lung cancer. Overall, we aim to highlight the importance of integrating computational and experimental approaches to draw biological insights from the lung cancer GWAS results beyond association.
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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.