ArticleNucleic acids research2020
GWAS Central: a comprehensive resource for the discovery and comparison of genotype and phenotype data from genome-wide association studies.
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 41 papers.
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
41 citing papers in PubMed.
- Estimating Optimal Site-Specific Individualized Treatment Rules With Limited Data Sharing.Statistics in medicine · 2026Article
- Evaluating genetic-based disease prediction approaches through simulation.Human genetics · 2026Article
- Pathway Analysis and Genetic Markers in Parkinson's Disease: Insights into Subtype-Specific Mechanisms.Molecular neurobiology · 2025Article
- The expression and biological role of complement C1s in esophageal squamous cell carcinoma.Open life sciences · 2024Article
- Ethnic-specific associations between body mass index and gastric cancer: a Mendelian randomization study in European and Korean populations.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024Article
- Network Cluster Analysis of PPI and Phenotype Ontology for Type 1 Diabetes Mellitus.Iranian journal of biotechnology · 2024Article
- Identification of genetic drivers of plasma lipoprotein size in the Diversity Outbred mouse population.Journal of lipid research · 2023Article
- SSLpheno: a self-supervised learning approach for gene-phenotype association prediction using protein-protein interactions and gene ontology data.Bioinformatics (Oxford, England) · 2023Article
- Genetic regulation of testosterone level in overweight males from the Kazakh population and its association with hypogonadism.Journal of medicine and life · 2023Article
- Chromogranin A and its derived peptides: potential regulators of cholesterol homeostasis.Cellular and molecular life sciences : CMLS · 2023Review
- Copy number variation in tRNA isodecoder genes impairs mammalian development and balanced translation.Nature communications · 2023Article
- Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system.Molecular diversity · 2023Review
- Processing genome-wide association studies within a repository of heterogeneous genomic datasets.BMC genomic data · 2023Article
- GWAS Central: an expanding resource for finding and visualising genotype and phenotype data from genome-wide association studies.Nucleic acids research · 2023Article
- The NHGRI-EBI GWAS Catalog: knowledgebase and deposition resource.Nucleic acids research · 2023Article
- GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals.Nucleic acids research · 2023Article
- PopTradeOff: A database for exploring population-specificity of adaptive evolution, disease susceptibility, and drug responsiveness.Computational and structural biotechnology journal · 2023Article
- Multivariate GWAS analysis reveals loci associated with liver functions in continental African populations.PloS one · 2023Article
- Analysis ofGenes · 2022Review
- Multi-Omic Investigations of a 17-19 Translocation LinksInternational journal of molecular sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The GWAS Central resource provides a toolkit for integrative access and visualization of a uniquely extensive collection of genome-wide association study data, while ensuring safe open access to prevent research participant identification. GWAS Central is the world's most comprehensive openly accessible repository of summary-level GWAS association information, providing over 70 million P-values for over 3800 studies investigating over 1400 unique phenotypes. The database content comprises direct submissions received from GWAS authors and consortia, in addition to actively gathered data sets from various public sources. GWAS data are discoverable from the perspective of genetic markers, genes, genome regions or phenotypes, via graphical visualizations and detailed downloadable data reports. Tested genetic markers and relevant genomic features can be visually interrogated across up to sixteen multiple association data sets in a single view using the integrated genome browser. The semantic standardization of phenotype descriptions with Medical Subject Headings and the Human Phenotype Ontology allows the precise identification of genetic variants associated with diseases, phenotypes and traits of interest. Harmonization of the phenotype descriptions used across several GWAS-related resources has extended the phenotype search capabilities to enable cross-database study discovery using a range of ontologies. GWAS Central is updated regularly and available at https://www.gwascentral.org.
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.