ArticleNucleic acids research2022
webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study.
Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.
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Who cites it
113 citing papers in PubMed.
- pGWAS-Portal: a comprehensive online platform for integrative post-genome-wide association study analysis.BMC genomics · 2026Article
- Data fusion of EnMAP and sentinel-2 for high-resolution soil fertility assessment in wheat cultivation of central Khuzestan plain.Scientific reports · 2026Article
- PHEWAS, TWAS, Mendelian Randomization in Osteoporosis Research: the good, the bad, and the ugly.Current osteoporosis reports · 2026Review
- AutoGERN: single-cell RNA-seq gene regulatory network inference via explicit link modeling and adaptive architectures.Bioinformatics (Oxford, England) · 2026Article
- Population genetic variation characterised through serial independent pool-seq: the Cyprus Genome Project.Scientific reports · 2026Article
- MOKA: a pipeline for multiomics bridged SNP-set kernel association test.G3 (Bethesda, Md.) · 2026Article
- Experimental investigation and thermodynamic correlation of chlordiazepoxide solubility in supercritical CO₂.Scientific reports · 2026Article
- ASTWAS: modeling alternative polyadenylation and SNP effects in kernel-driven TWAS reveal novel genetic associations for complex traits.Briefings in bioinformatics · 2026Article
- Article
- Pathogenic KRAS variants disrupt structure and dynamics: Insights from integrated computational analyses.PloS one · 2026Article
- Article
- Predicting drug solubility in supercritical carbon dioxide green solvent using machine learning models based on thermodynamic properties.Scientific reports · 2025Article
- Turning Susceptibility into Strength: A New Era of Durable Resistance in Plants Through Genome Editing.Plants (Basel, Switzerland) · 2025Review
- Combination of Deep and Statistical Features of the Tissue of Pathology Images to Classify and Diagnose the Degree of Malignancy of Prostate Cancer.Journal of imaging informatics in medicine · 2025Article
- AOPxSVM: A Support Vector Machine for Identifying Antioxidant Peptides Using a Block Substitution Matrix and Amino Acid Composition, Transformation, and Distribution Embeddings.Foods (Basel, Switzerland) · 2025Article
- FarmGTEx TWAS-server: An Interactive Web Server for Customized TWAS Analysis.Genomics, proteomics & bioinformatics · 2025Article
- lncRNA localization and feature interpretability analysis.Molecular therapy. Nucleic acids · 2025Article
- Cancer Drug Sensitivity Prediction Based on Deep Transfer Learning.International journal of molecular sciences · 2025Article
- A review on topology and control strategies of high-power inverters in large- scale photovoltaic power plants.Heliyon · 2025Review
- scTWAS Atlas: an integrative knowledgebase of single-cell transcriptome-wide association studies.Nucleic acids research · 2025Article
53 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of transcriptome-wide association studies (TWAS) has enabled researchers to better identify and interpret causal genes in many diseases. However, there are currently no resources providing a comprehensive listing of gene-disease associations discovered by TWAS from published GWAS summary statistics. TWAS analyses are also difficult to conduct due to the complexity of TWAS software pipelines. To address these issues, we introduce a new resource called webTWAS, which integrates a database of the most comprehensive disease GWAS datasets currently available with credible sets of potential causal genes identified by multiple TWAS software packages. Specifically, a total of 235 064 gene-diseases associations for a wide range of human diseases are prioritized from 1298 high-quality downloadable European GWAS summary statistics. Associations are calculated with seven different statistical models based on three popular and representative TWAS software packages. Users can explore associations at the gene or disease level, and easily search for related studies or diseases using the MeSH disease tree. Since the effects of diseases are highly tissue-specific, webTWAS applies tissue-specific enrichment analysis to identify significant tissues. A user-friendly web server is also available to run custom TWAS analyses on user-provided GWAS summary statistics data. webTWAS is freely available at http://www.webtwas.net.
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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 Socratic graph.