Overview
The IGVF Catalog contains variant nodes primarily sourced from FAVOR.Variants not present in FAVOR but present in the other variant collections below were also loaded.
Variants may be identified using SPDI, HGVS, or their genomic position.
Choose the data type you need
- A row of cards now appears at the top of each variant page so you can jump straight to the evidence you want: Coding, Noncoding, Molecular Networks, Phenotypes, or Allele Frequencies.
- Pick a card to land on the matching section of the page and scan its tables without scrolling.
- The cards stay easy to tap on smaller screens, helping you quickly switch between coding changes, regulatory signals, network partners, phenotype associations, or population frequency summaries.
Stay oriented across pages
- A colored coverage stripe now sits under the variant title, mirroring the home page bar so you instantly see how much IGVF evidence exists for each data type.
- Table headers now spell out whether rows come from datasets (for example, FAVOR or MaveDB experiments) or predictions (such as ENCODE E2G), making it clear when you are viewing measured results versus model outputs.
- SPDI and RefSeq-style variant identifiers now resolve cleanly even when they contain multiple colons—for example,
NC_000023.11:154533039:G:Copens directly instead of showing an error.
Non-coding Variant Edges
| Source | Class | Edge Description | Datasets |
|---|---|---|---|
| TopLD | statistical assessment | Variant-to-variant edges describing variants in linkage disequilibrium (LD). | TopLD |
| caQTL | statistical assessment | Variant-to-genomic element edges describing variants associated with chromatin accessibility. | ENCODE, AFGR |
| eQTL | statistical assessment | Variant-to-gene edges describing variants associated with gene expression. | EBI eQTL, AFGR |
| sQTL | statistical assessment | Variant-to-gene edges describing variants associated with alternative splicing. | AFGR |
| Variant-EFFECTS | observed data | Variant-to-gene edges describing causal effects of variants on endogenous gene expression from genome editing experiments. | Variant-EFFECTS datasets (Jesse Engreitz, Stanford) |
| STARR-seq | observed data | Variant-to-biosample edges describing allele-specific regulatory activity in the K562 cell line. | STARR-seq datasets (Tim Reddy, Duke) |
| BlueSTARR | prediction | Variant-to-genomic element edges describing predicted regulatory activity in ENCODE cCRE sequences using a STARR-seq–trained model. | BlueSTARR dataset (Bill Majoros, Duke) |
| MPRA | observed data | Variant-to-genomic element edges describing variant activity within genomic elements tested in MPRA. | lentiMPRA datasets (Nadav Ahituv, UCSF) |
Variant Edges
| Source | Edge Description | Datasets |
|---|---|---|
| TopLD | Variant-to-variant edges describing variants in linkage disequilibrium (LD). | TopLD |
| caQTL | Variant-to-genomic element edges describing variants associated with chromatin accessibility. | ENCODE, AFGR |
| eQTL | Variant-to-gene edges describing variants associated with gene expression. | EBI eQTL, AFGR |
| sQTL | Variant-to-gene edges describing variants associated with alternative splicing. | AFGR |
| Variant-EFFECTS | Variant-to-gene edges describing causal effects of variants on endogenous gene expression from genome editing experiments. | Variant-EFFECTS datasets (Jesse Engreitz, Stanford) |
| STARR-seq | Variant-to-biosample edges describing allele-specific regulatory activity in the K562 cell line. | STARR-seq datasets (Tim Reddy, Duke) |
| BlueSTARR | Variant-to-genomic element edges describing predicted regulatory activity in ENCODE cCRE sequences using a STARR-seq–trained model. | BlueSTARR dataset (Bill Majoros, Duke) |
| MPRA | Variant-to-genomic element edges describing variant activity within genomic elements tested in MPRA. | lentiMPRA datasets (Nadav Ahituv, UCSF) |
Enhancer-Gene Model Prediction Table
This table shows which genes are predicted to be regulated by enhancers overlapping the variant you’re viewing.| Column | Description |
|---|---|
| Cell Type | Cell type in which the enhancer is predicted to regulate the gene |
| Target Gene | Gene predicted to be regulated by the enhancer (click for gene details) |
| Score | Strength of the prediction (range: 0 to 1, higher indicates a more confident prediction) |
| Dataset | Source dataset (click for more details) |
| Model | Predictive model. Currently: ENCODE-rE2G |
| Variant-Gene Distance | Genomic distance between the variant and gene body |
Variants in Linkage Disequilibrium
This table lists variants in linkage disequilibrium with the query variant, and summarizes functional evidence about those variants. Each row reports one variant in one ancestry. LD information is sourced from 1000 Genomes Phase 3 queried from Ensembl.| Column | Description |
|---|---|
| rsID | The reference SNP ID (click for variant details) |
| LD (r²) | Measure of linkage disequilibrium (correlation coefficient) |
| LD (D’) | Measure of linkage disequilibrium (D prime statistic) |
| Cell Types w/ pred. EG link | Cell types with predicted enhancer-gene links |
| Genes w/ pred. EG link | Genes with predicted enhancer-gene links |
| QTL Types | Types of QTL associations |
| Genes w/ QTLs | Genes with QTL associations |
| Ancestry | The population ancestry for the LD information |
| Most Severe Consequence | The predicted functional impact |
GWAS Association
Which phenotypes are associated with this variant through genome-wide association studies? GWAS Catalog. Study IDs now open directly in the GWAS Catalog or UK Biobank (when applicable) so you can read the full study record without leaving the catalog page, and the previous Source column has been removed so the table stays focused on the study details shown here.| Column | Description |
|---|---|
| Lead Variant | Lead variant identifier for the association |
| Study ID | Identifier for the GWAS study (click to view in GWAS Catalog or UK Biobank when provided) |
| Trait | The associated phenotype or trait |
| Effect Allele | Effect allele reported for the association |
| Lead Variant P-value | Statistical significance of the association |
| Beta | Effect size and direction |
| 95% Confidence Interval | Confidence interval for the effect size |
| PMID | PubMed ID for the study (click to view publication) |
| Author (Year) | First author and publication year |
| Study N | Sample size of the study |
Coding variant measurements
Experimental assays now sit in their own table so you can focus on observed protein effects (for example, VAMP-seq abundance drops or SGE functional scores) without scrolling past prediction models. Hover the info bubbles in the Source column to see quick explanations of VAMP-seq or SGE when they appear, and use the updated VAMP-seq link to open variant plots directly at https://abundance.gs.washington.edu/plots/variants.| Column | Description |
|---|---|
| Name | Name identifier for the coding variant |
| Reference | Reference allele |
| Alternate | Alternate allele |
| Protein Name | Name of the affected protein |
| Gene Name | Name of the affected gene (click for gene details) |
| Transcript ID | Transcript identifier (click for transcript details) |
| Amino Acid Position | Position of the amino acid change |
| HGVS Protein | HGVS notation for the protein change |
| HGVS | HGVS notation for the variant |
| Reference Codon | Reference codon sequence |
| Codon Position | Position within the codon |
| VEST4 Score | VEST4 pathogenicity prediction score (blank when not provided by the dataset) |
| REVEL Score | REVEL pathogenicity prediction score (blank when not provided by the dataset) |
| MutPred2 Score | MutPred2 probability of disrupting protein function; hover the question mark for a short method summary |
| BayesDel noAF Score | BayesDel pathogenicity score without allele frequency input |
| ESM-1v Score | ESM-1v evolutionary constraint score; hover the question mark for a short method summary |
| AlphaMissense Score | AlphaMissense pathogenicity prediction score |
| Source | Study, resource, or assay behind the row (hover for quick context where available) |
Coding variant predictions
Computational models now have a separate table labelled Computational models, letting you review in silico scores (MutPred2, ESM-1v, AlphaMissense, REVEL, VEST4, BayesDel) without mixing them with wet-lab measurements. Legacy columns like SIFT, PolyPhen-2, CADD Raw, VARITY, and EVE have been removed to keep the view focused on current methods. Hover the question marks on MutPred2 Score and ESM-1v Score to see what each model measures.| Column | Description |
|---|---|
| Name | Name identifier for the coding variant |
| Reference | Reference allele |
| Alternate | Alternate allele |
| Protein Name | Name of the affected protein |
| Gene Name | Name of the affected gene (click for gene details) |
| Transcript ID | Transcript identifier (click for transcript details) |
| Amino Acid Position | Position of the amino acid change |
| HGVS Protein | HGVS notation for the protein change |
| HGVS | HGVS notation for the variant |
| Reference Codon | Reference codon sequence |
| Codon Position | Position within the codon |
| VEST4 Score | VEST4 pathogenicity prediction score |
| REVEL Score | REVEL pathogenicity prediction score |
| MutPred2 Score | MutPred2 probability of disrupting protein function (hover for method notes) |
| BayesDel noAF Score | BayesDel pathogenicity score without allele frequency input |
| ESM-1v Score | ESM-1v evolutionary constraint score (hover for method notes) |
| AlphaMissense Score | AlphaMissense pathogenicity prediction score |
| Source | Model or reference resource for the prediction (click for details when linked) |
Allelic effect(s) on transcription factor binding
This table shows effects of the variant on allelic binding in transcription factor (TF) ChIP-seq experiments.| Column | Description |
|---|---|
| Protein | Transcription factor protein (click for protein details) |
| Gene | Gene encoding the transcription factor (click for gene details) |
| Biosample | Biological sample or cell type |
| Motif | Transcription factor binding motif (click for motif details) |
| Motif Summary | Summary of motif binding effects |
| Motif Fold-Change | Fold change in motif binding affinity |
| Ref Score | Binding score for reference allele |
| Alt Score | Binding score for alternate allele |
| Ref FDR | False discovery rate for reference allele |
| Alt FDR | False discovery rate for alternate allele |
| Motif Position | Position of the motif |
| Motif Strand | Strand orientation of the motif |
| Source | Source of the binding data |
Molecular Networks
A notice now appears at the top of this section reading “Perturb-seq and other CRISPR data coming soon!” so you know additional network evidence is on the way while you review the current results.Molecular QTLs
Molecular QTLs for the variant now appear in a single, streamlined table that combines gene-level and protein-level associations. Cell type and tissue names are shown with clear, human-readable labels.| Column | Description |
|---|---|
| Type | Type of molecular QTL (e.g., eQTL, sQTL, pQTL) |
| Gene | Gene linked to the variant through the QTL (click for gene details) |
| Cell type/tissue | Biosample label using readable cell type or tissue names |
| Effect Size | Magnitude of the variant’s effect |
| P-value (-log10) | Statistical significance of the association |
| Source | Data source for the QTL (click for source details) |
Associated Disease
This table shows diseases associated with this variant from ClinGen and Orphanet.| Column | Description |
|---|---|
| Disease | Associated disease or condition (click for disease details) |
| Gene | Gene associated with the disease variant (click for gene details) |
| Assertion | Clinical significance assertion |
| PMIDs | PubMed IDs supporting the association |
| Source | Source of the disease association data (click for source details) |
Functional assay measurement
This table shows functional assay measurements for each biosample, including AdAstra and GVATdb assay readouts for the variant.| Column | Description |
|---|---|
| Biosample | Biosample name (click for biosample details) |
| Synonyms | Alternative names for the biosample |
| Description | Description of the biosample |
| Method | Experimental method used |
| Label | Evidence label or type |
| Input Counts | Input counts for reference and alternate alleles |
| Output Counts | Output counts for reference and alternate alleles |
| Variant SPDI | SPDI notation for the variant |
| Post. Prob. Effect | Posterior probability of effect |
| log2 Fold Change | Log2 fold change measurement |
| 95% Confidence Interval | Confidence interval for the measurement |
| Source | Source of the experimental evidence |
Interactive Visualizations
The variant page includes several interactive visualization components that provide rich insights into variant effects, population genetics, and functional predictions.Primary Variant Visualization
An animated visualization showing the molecular mechanism of the variant using SPDI notation. Features:- Animated Sequence: Shows the variant change as deletion and insertion events
- Color Coding:
- Teal (#337788): Insertion allele
- Coral (#CC8877): Deletion allele
- Multi-phase Animation:
- Initial display of deletion event
- Fade-in of insertion allele
- Arrow indicating the replacement direction
- Genomic Context: Displays surrounding genomic sequence with placeholder bases
- Responsive Design: Automatically adjusts to container width
Allele Frequency Distribution
An interactive bar chart displaying population-specific allele frequencies from gnomAD. Features:- Population Breakdown: Shows frequencies across major ancestry groups:
- African, Amish, Ashkenazi Jewish, East Asian, Finnish
- Native American, Non-Finnish European, Other, South Asian
- Interactive Elements:
- Hover over bars to see exact frequency values
- Color changes on hover for visual feedback
- Precise tooltips with 3 significant figures
- Animated Rendering: Bars animate from bottom to top on initial load
- Rotated Labels: Population labels displayed at 45-degree angle for readability
- Responsive Scaling: Y-axis automatically scales to accommodate data range
Summary Data Table with Score Visualization
An interactive table combining functional prediction scores with visual progress bars. Features:- Score Visualization: Each numerical score displayed with:
- Horizontal progress bar showing relative magnitude
- Color-coded bar (brand color) indicating score strength
- Exact numerical value alongside visual representation
- Sortable Interface: Click column headers to sort by score values
- Dynamic Columns: Table adapts to show only relevant columns:
- Functional class (when available)
- Catalog links (when available)
- Portal links (when available)
- Clamped Scoring: All scores normalized to 0-1 range for consistent visualization
- Loading States: Graceful handling of data loading with appropriate placeholders
Linkage Disequilibrium Heatmap
An interactive heatmap showing pairwise linkage disequilibrium relationships with nearby variants. Features:- Dual Metrics: Toggle between r² and D’ measurements using dropdown selector
- Interactive Exploration:
- Hover over cells to see detailed LD statistics
- Tooltips display both variant IDs and precise r²/D’ values
- Mouse tracking with real-time feedback
- Color Gradient: Intensity represents LD strength (white to teal)
- Variant Organization: Variants automatically sorted by genomic position
- Export Functionality: Download heatmap as PNG image
- Responsive Design: Square aspect ratio that scales with container
- Legend: Color scale reference showing value mapping
Ancestry Filtering
An animated interface for filtering LD data by population ancestry. Features:- Smooth Transitions: Framer Motion animations for state changes
- Toggle Interaction:
- Click ancestry labels to filter data
- Selected ancestry highlighted with brand color
- Clear button (×) to remove filter
- Population Mapping: Displays both short codes and full population names:
- ASJ (Ashkenazi Jewish), EAS (East Asian), AFR (African)
- FIN (Finnish), NFE (Non-Finnish European), SAS (South Asian)
- AMI (Amish), OTH (Other), AMR (American), EUR (European)
- Dynamic Visibility: Only shows when multiple ancestries are available
- Hover Effects: Scale animations on hover for visual feedback

