Data Sources
As a VarSome user, you can work with over 140 datasets through a single portal. The following is the full list and the level of access required for each. If there is a dataset you would like us to add, let us know.
Found 145 datasets
| # | Source | Name | Version | Type | VarSome | VarSome Premium | VarSome Clinical | VarSome API |
|---|---|---|---|---|---|---|---|---|
| 1 | Broad | ExAC | 18-Sep-2018 | Exome Aggregation Consortium gene database | ||||
| 2 | Broad | ExacCNV | 01-Jul-2021 | Exome Aggregation Consortium CNVs | ||||
| 3 | Broad | gnomAD Mitochondrial | 3.1 | gnomAD mtDNA variants | ||||
| 4 | Broad | gnomAD exomes | 4.1 | Genome Aggregation Database | ||||
| 5 | Broad | gnomAD exomes coverage | 4.0 | gnomAD exome coverage data | ||||
| 6 | Broad | gnomAD gene constraints | 4.1 | gnomAD gene constraints | ||||
| 7 | Broad | gnomAD genomes | 4.1 | Genome Aggregation Database | ||||
| 8 | Broad | gnomAD genomes coverage | 3.0 | gnomAD genome coverage data | ||||
| 9 | Broad | gnomAD structural variants | 30-Jun-2021 | gnomAD structural variants | ||||
| 10 | Burge Lab | MaxEntScan | 5-Apr-2023 | MaxEntScan | ||||
| 11 | CHOP | MitoTip | 13-Dec-2022 | Human Mitochondrial Genome Database | ||||
| 12 | CHOP | Mitomap | 08-Dec-2023 | Human Mitochondrial Genome Database | ||||
| 13 | CPIC | CPIC | 07-Feb-2025 | Gene Drugs Interactions and Levels | ||||
| 14 | CSH | phastCons100way | 14-Apr-2021 | Conservation scoring and identification of conserved elements | ||||
| 15 | CSH | phyloP100way | 13-Apr-2021 | Computation of p-values for conservation or acceleration | ||||
| 16 | CTTI | AACT | 07-Feb-2025 | Aggregate Analysis of ClincalTrials.gov | ||||
| 17 | EBI | GWAS | 07-Feb-2025 | The NHGRI-EBI Catalog of published genome-wide association studies | ||||
| 18 | EBI | gene2phenotype | 04-Oct-2024 | gene2phenotype | ||||
| 19 | EMA | EMA Approved Drugs | 03-Sep-2021 | EMA Approved Drugs | ||||
| 20 | EMBL | Ensembl | 113 | Ensemble transcript database | ||||
| 21 | EMBL-EBI | DECIPHER | 07-Feb-2025 | EMBL-EBI DECIPHER | ||||
| 22 | FDA | FDA Approved Drugs | 03-Sep-2021 | FDA Approved Drugs | ||||
| 23 | FDA | Pharmacogenomic Biomarkers | 19-Sep-2022 | Table of Pharmacogenomic Biomarkers in Drug Labeling | ||||
| 24 | GERP | GERP | 2010 | Germline Variants | ||||
| 25 | GenCC | GenCC | 07-Feb-2025 | GenCC | ||||
| 26 | Genomenon | Mastermind | 230612 | Genomenon's Mastermind engine | ||||
| 27 | Genomics England | PanelApp | 17-Feb-2025 | Genomics England PanelApp | ||||
| 28 | HL | AlphaMissense | 03-Jul-2024 | Alpha Missense variant database | ||||
| 29 | HPO | HPO | 07-Feb-2025 | Human Phenotype Ontology | ||||
| 30 | HUGO | HGNC | 13-Feb-2025 | HUGO gene nomenclature committee | ||||
| 31 | IARC | TP53 Germline | release 20 | IARC TP53 germline database http://p53.iarc.fr/ | ||||
| 32 | IARC | TP53 Somatic | release 20 | IARC TP53 somatic database http://p53.iarc.fr/ | ||||
| 33 | IRCCS | MitImpact | 13-Dec-2022 | Machine-learning algorithm that outperforms all existing prediction methods in estimating the harmfulness of mitochondrial non-synonymous genome variations | ||||
| 34 | ISB | kaviar3 | 4-Feb-2016 | Known Variants, allele count > 3 | ||||
| 35 | JAX | CKB | 23-Feb-2025 | The Clinical Knowledgebase | ||||
| 36 | JHU | OMIM® | 19-Feb-2025 | Online Mendelian Inheritance in Man | ||||
| 37 | KAW | The Human Protein Atlas | 14-Mar-2024 | The Human Protein Atlas | ||||
| 38 | LUMC | LOVD | 19-Feb-2025 | Leiden Open Variation Database | ||||
| 39 | MSK | CancerHotspots | 10-Sep-2021 | A resource for statistically significant mutations in cancer | ||||
| 40 | MSK | OncoKB | 15-Jan-2024 | Precision Oncology Knowledge Base | ||||
| 41 | MSK | OncoTree | 15-Jan-2024 | OncoTree | ||||
| 42 | MSK | cBioPortal | 06-Jun-2023 | cBioPortal for Cancer Genomics | ||||
| 43 | Monarch | Mondo | 07-Feb-2025 | Mondo Disease Ontology | ||||
| 44 | NCBI | ClinVar | 07-Feb-2025 | ClinVar populated from TSV files | ||||
| 45 | NCBI | ClinVar CNVs | 07-Feb-2025 | ClinVar CNV Regions | ||||
| 46 | NCBI | RefSeq | 228 | NCBI transcript database | ||||
| 47 | NCBI | dbSNP | build 156 | NCBI SNP variant database | ||||
| 48 | NCBI | dbVar | 03-Jul-2024 | dbVar | ||||
| 49 | NHGRI | CGD | 03-Jul-2024 | Clinical Genomic Database | ||||
| 50 | NIH | ClinGen | 07-Feb-2025 | ClinGen | ||||
| 51 | NIH | ClinGen CNVs | 07-Feb-2025 | ClinGen CNVs | ||||
| 52 | NIH | ClinGen Disease Validity | 07-Feb-2025 | ClinGen Disease Validity | ||||
| 53 | NIH | ClinGen Regions | 07-Feb-2025 | ClinGen Regions | ||||
| 54 | NIH | ClinGen Variants | 07-Feb-2025 | ClinGen Variants | ||||
| 55 | NIH | DailyMed | 03-Sep-2021 | DailyMed | ||||
| 56 | NIH | GDC | 08-Dec-2023 | Genomic Data Commons | ||||
| 57 | NIH | GTEx | v8 | Genotype-Tissue Expression (GTEx) Program | ||||
| 58 | NLM | GHR | 05-Dec-2024 | GHR Genes Index | ||||
| 59 | OATML | EVE | 07-Jun-2022 | Evolutionary model of variant effect | ||||
| 60 | PharmGKB | PharmGKB | 07-Feb-2025 | PharmGKB | ||||
| 61 | Sanger | Cancer Gene Census | v101 | Cancer Gene Census | Client license is required | Client license is required | ||
| 62 | Sanger | Cosmic | v101 | Licensed - full data set | Client license is required | Client license is required | ||
| 63 | TCAG | DGV | 30-Jun-2021 | Database of Genomic Variants | ||||
| 64 | UCI | DANN SNVs | 2014 | Deleterious Annotation of genetic variants using Neural Networks | ||||
| 65 | UMICH | Bravo | Freeze8 | Bravo Aggregation Database | ||||
| 66 | UNIL | Domino | 04-Sep-2019 | Domino Gene Scores | ||||
| 67 | UNIPROT | UniProt Regions | 07-Feb-2025 | Uniprot Regions | ||||
| 68 | UNIPROT | UniProt Variants | 07-Feb-2025 | UniProt Variants Database | ||||
| 69 | UOI | DVD | v9 | Deafness Variation Database | ||||
| 70 | UTexas | FusionGDB | 19-Nov-2021 | Fusion Gene annotation DataBase | ||||
| 71 | UW | CADD | 1.7 | Combined Annotation Dependent Depletion | ||||
| 72 | WUSTL | CIViC | 08-Dec-2023 | Clinical Interpretation of Variants in Cancer | ||||
| 73 | WUSTL | DGI | 04-Jun-2024 | Drug Gene Interaction Database | ||||
| 74 | WUSTL | DoCM | 07-Jun-2022 | WUSTL DoCM | ||||
| 75 | Weill Cornell Medicine | PMKB | 08-Nov-2024 | Precision Medicine Knowledge Base | ||||
| 76 | dbNSFP | dbNSFP | 4.9 | dbNSFP license-free data | ||||
| 77 | dbNSFP | dbNSFP | 4.9 | dbNSFP expression and other gene-based data | ||||
| 78 | dbNSFP | dbscSNV | v1.1 | dbNSFP splice site variant database | ||||
| 79 | dbNSFP genes | BioCarta | 4.9 | Gene | ||||
| 80 | dbNSFP genes | Consensus | 4.9 | Gene | ||||
| 81 | dbNSFP genes | Essential Genes | 4.9 | Gene | ||||
| 82 | dbNSFP genes | GDI | 4.9 | Gene | ||||
| 83 | dbNSFP genes | GHIS | 4.9 | Gene | ||||
| 84 | dbNSFP genes | GNF/Atlas | 4.9 | Gene | ||||
| 85 | dbNSFP genes | Gene Ontology | 4.9 | Gene | ||||
| 86 | dbNSFP genes | HIPred | 4.9 | Gene | ||||
| 87 | dbNSFP genes | KEGG | 4.9 | Gene | ||||
| 88 | dbNSFP genes | LoFTool | 4.9 | Gene | ||||
| 89 | dbNSFP genes | Mouse genes | 4.9 | Gene | ||||
| 90 | dbNSFP genes | P(HI) Score | 4.9 | Gene | ||||
| 91 | dbNSFP genes | P(rec) Score | 4.9 | Gene | ||||
| 92 | dbNSFP genes | RVIS | 4.9 | Gene | ||||
| 93 | dbNSFP genes | UniProt Genes | 4.9 | Gene | ||||
| 94 | dbNSFP genes | Zebrafish genes | 4.9 | Gene | ||||
| 95 | dbNSFP genes | egenetics | 4.9 | Gene | ||||
| 96 | dbNSFP-c | ALoFT | 4.9 | Functional prediction | ||||
| 97 | dbNSFP-c | BayesDel | 4.9 | Functional prediction | ||||
| 98 | dbNSFP-c | BioCarta | 4.9 | Gene | ||||
| 99 | dbNSFP-c | Consensus | 4.9 | Gene | ||||
| 100 | dbNSFP-c | DEOGEN2 | 4.9 | Functional prediction | ||||
| 101 | dbNSFP-c | Eigen | 4.9 | Functional prediction | ||||
| 102 | dbNSFP-c | Eigen-PC | 4.9 | Functional prediction | ||||
| 103 | dbNSFP-c | Essential Genes | 4.9 | Gene | ||||
| 104 | dbNSFP-c | FATHMM | 4.9 | Functional prediction | ||||
| 105 | dbNSFP-c | FATHMM-MKL | 4.9 | Functional prediction | ||||
| 106 | dbNSFP-c | FATHMM-XF | 4.9 | Functional prediction | ||||
| 107 | dbNSFP-c | GDI | 4.9 | Gene | ||||
| 108 | dbNSFP-c | GHIS | 4.9 | Gene | ||||
| 109 | dbNSFP-c | GNF/Atlas | 4.9 | Gene | ||||
| 110 | dbNSFP-c | Gene Ontology | 4.9 | Gene | ||||
| 111 | dbNSFP-c | HIPred | 4.9 | Gene | ||||
| 112 | dbNSFP-c | KEGG | 4.9 | Gene | ||||
| 113 | dbNSFP-c | LIST-S2 | 4.9 | Functional prediction | ||||
| 114 | dbNSFP-c | LRT | 4.9 | Functional prediction | ||||
| 115 | dbNSFP-c | LoFTool | 4.9 | Gene | ||||
| 116 | dbNSFP-c | M-CAP | 4.9 | Functional prediction | ||||
| 117 | dbNSFP-c | MPC | 4.9 | Functional prediction | ||||
| 118 | dbNSFP-c | MVP | 4.9 | Functional prediction | ||||
| 119 | dbNSFP-c | MetaLR | 4.9 | Functional prediction | ||||
| 120 | dbNSFP-c | MetaRNN | 4.9 | Functional prediction | ||||
| 121 | dbNSFP-c | MetaSVM | 4.9 | Functional prediction | ||||
| 122 | dbNSFP-c | Mouse genes | 4.9 | Gene | ||||
| 123 | dbNSFP-c | MutPred | 4.9 | Functional prediction | ||||
| 124 | dbNSFP-c | MutationAssessor | 4.9 | Functional prediction | ||||
| 125 | dbNSFP-c | MutationTaster | 4.9 | Functional prediction | ||||
| 126 | dbNSFP-c | P(HI) Score | 4.9 | Gene | ||||
| 127 | dbNSFP-c | P(rec) Score | 4.9 | Gene | ||||
| 128 | dbNSFP-c | PROVEAN | 4.9 | Functional prediction | ||||
| 129 | dbNSFP-c | PrimateAI | 4.9 | Functional prediction | ||||
| 130 | dbNSFP-c | REVEL | 4.9 | Functional prediction | ||||
| 131 | dbNSFP-c | RVIS | 4.9 | Gene | ||||
| 132 | dbNSFP-c | SIFT | 4.9 | Functional prediction | ||||
| 133 | dbNSFP-c | SIFT4G | 4.9 | Functional prediction | ||||
| 134 | dbNSFP-c | SiPhy | 4.9 | Conservation score | ||||
| 135 | dbNSFP-c | UniProt Genes | 4.9 | Gene | ||||
| 136 | dbNSFP-c | Zebrafish genes | 4.9 | Gene | ||||
| 137 | dbNSFP-c | bStatistic | 4.9 | Conservation score | ||||
| 138 | dbNSFP-c | egenetics | 4.9 | Gene | ||||
| 139 | dbNSFP-c | fitCons | 4.9 | Functional prediction | ||||
| 140 | dbNSFP-c | phastCons100way Vertebrate | 4.9 | Conservation score | ||||
| 141 | dbNSFP-c | phastCons17way Primate | 4.9 | Conservation score | ||||
| 142 | dbNSFP-c | phastCons30way Mammalian | 4.9 | Conservation score | ||||
| 143 | dbNSFP-c | phyloP100way Vertebrate | 4.9 | Conservation score | ||||
| 144 | dbNSFP-c | phyloP17way Primate | 4.9 | Conservation score | ||||
| 145 | dbNSFP-c | phyloP30way Mammalian | 4.9 | Conservation score |
