ArticleNucleic acids research2020
TSEA-DB: a trait-tissue association map for human complex traits and diseases.
Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- The m6Am methyltransferase PCIF1 promotes osteogenic differentiation of mesenchymal stem cells through stabilization of Wnt-related transcripts.PLoS biology · 2026Article
- DEDUCE: statistical inference on disease-associated genes uncovers tissue-disease associations.NAR genomics and bioinformatics · 2025Article
- Integrating Proteomics and GWAS to Identify Key Tissues and Genes Underlying Human Complex Diseases.Biology · 2025Article
- Disease-specific prioritization of non-coding GWAS variants based on chromatin accessibility.HGG advances · 2024Article
- Crop-GPA: an integrated platform of crop gene-phenotype associations.NPJ systems biology and applications · 2024Article
- MicroRNA expression in extracellular vesicles as a novel blood-based biomarker for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Article
- deCS: A Tool for Systematic Cell Type Annotations of Single-cell RNA Sequencing Data among Human Tissues.Genomics, proteomics & bioinformatics · 2023Article
- A gene regulatory network approach harmonizes genetic and epigenetic signals and reveals repurposable drug candidates for multiple sclerosis.Human molecular genetics · 2023Article
- scGWAS: landscape of trait-cell type associations by integrating single-cell transcriptomics-wide and genome-wide association studies.Genome biology · 2022Article
- Spatiotemporal MicroRNA-Gene Expression Network Related to Orofacial Clefts.Journal of dental research · 2022Article
- Drug-Target Network Study Reveals the Core Target-Protein Interactions of Various COVID-19 Treatments.Genes · 2022Article
- WebCSEA: web-based cell-type-specific enrichment analysis of genes.Nucleic acids research · 2022Article
- Prioritization of risk genes in multiple sclerosis by a refined Bayesian framework followed by tissue-specificity and cell type feature assessment.BMC genomics · 2022Article
- webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study.Nucleic acids research · 2022Article
- Integrating genome-wide association and transcriptome prediction model identifies novel target genes for osteoporosis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021Article
- DeepFun: a deep learning sequence-based model to decipher non-coding variant effect in a tissue- and cell type-specific manner.Nucleic acids research · 2021Article
- A robust two-sample transcriptome-wide Mendelian randomization method integrating GWAS with multi-tissue eQTL summary statistics.Genetic epidemiology · 2021Article
- Scoring functions for drug-effect similarity.Briefings in bioinformatics · 2021Review
- Predicting regulatory variants using a dense epigenomic mapped CNN model elucidated the molecular basis of trait-tissue associations.Nucleic acids research · 2021Article
- CSEA-DB: an omnibus for human complex trait and cell type associations.Nucleic acids research · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Assessing the causal tissues of human traits and diseases is important for better interpreting trait-associated genetic variants, understanding disease etiology, and improving treatment strategies. Here, we present a reference database for trait-associated tissue specificity based on genome-wide association study (GWAS) results, named Tissue-Specific Enrichment Analysis DataBase (TSEA-DB, available at https://bioinfo.uth.edu/TSEADB/). We collected GWAS summary statistics data for a wide range of human traits and diseases followed by rigorous quality control. The current version of TSEA-DB includes 4423 data sets from the UK Biobank (UKBB) and 596 from other resources (GWAS Catalog and literature mining), totaling 5019 unique GWAS data sets and 15 770 trait-associated gene sets. TSEA-DB aims to provide reference tissue(s) enriched with the genes from GWAS. To this end, we systematically performed a tissue-specific enrichment analysis using our recently developed tool deTS and gene expression profiles from two reference tissue panels: the GTEx panel (47 tissues) and the ENCODE panel (44 tissues). The comprehensive trait-tissue association results can be easily accessed, searched, visualized, analyzed, and compared across the studies and traits through our web site. TSEA-DB represents one of the many timely and comprehensive approaches in exploring human trait-tissue association.
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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.