diff --git a/.github/instructions/state-management.instructions.md b/.github/instructions/state-management.instructions.md index a3a7db7d..dc449738 100644 --- a/.github/instructions/state-management.instructions.md +++ b/.github/instructions/state-management.instructions.md @@ -84,12 +84,19 @@ const {downloadFile, downloadMultipleData, customDialogVisible, dataTypeOptions} ## Variant Coordinates (`src/composables/use-variant-coordinates.ts`) -Stateless utilities for resolving variant HGVS coordinates based on display mode (raw vs mapped). Shared between ScoreSetView (variant search, labels, sequence type detection) and ScoreSetHeatmap. +Stateless resolution of a lean variant's HGVS coordinate across two orthogonal axes: sequence +**level** (`dna` ↔ `protein`) and **frame** (`raw` = submitted/target numbering ↔ `mapped` = +reference numbering). `coordinateFor` is the single source of truth — every derivation (heatmap +x/y, axis availability, labels, tooltips) resolves through it, so the (level, frame) → coordinate +mapping lives in one place. The frame axis is load-bearing: `raw` and `mapped` are genuinely +different coordinate systems, so flipping frame reprojects the grid, it does not merely relabel it. +Shared between ScoreSetView (search, labels, level options) and ScoreSetHeatmap (plotting). ```ts -const {getHgvsNt, getHgvsPro, labelForVariant, sequenceTypeOptions} = useVariantCoordinates() -const nt = getHgvsNt(variant, useMapped) // resolved NT coordinate -const options = sequenceTypeOptions(variants, useMapped) // [{title: 'DNA', value: 'dna'}, ...] +const {coordinateFor, sequenceTypeOptions, resolveLevel, labelForVariant} = useVariantCoordinates() +coordinateFor(variant, 'dna', 'mapped') // → HgvsField | null (null for protein assays — no mapped coding, mavedb-api#784) +sequenceTypeOptions(variants, 'mapped') // → [{title: 'DNA', value: 'dna'}, ...] available for that frame +resolveLevel(variants, 'protein', 'mapped') // → the level to display, falling back when the desired one is stranded ``` ## Entity Cache (`src/composables/entity-cache.ts`) diff --git a/docs/content/finding-data/downloading.md b/docs/content/finding-data/downloading.md index 8ecea328..412d9a69 100644 --- a/docs/content/finding-data/downloading.md +++ b/docs/content/finding-data/downloading.md @@ -8,21 +8,21 @@ Each [score set](../getting-started/key-concepts.md#score-sets) page in MaveDB i
![Download buttons on a MaveDB score set page](../images/download_buttons.png) -
Download options available on a score set page, including score/count CSV, mapped variants JSON, and annotated variant exports.
+
Download options available on a score set page, including score/count CSV, variant details, and annotated variant exports.
### Score and count data MaveDB allows users to download variant effect score data along with associated count data in **CSV** (Comma-Separated Values) format. -The downloaded file contains the same data that was uploaded by the submitter, with an additional column for variant [URNs](../reference/accession-numbers.md) that uniquely identify each variant in MaveDB. Users may also choose to include other MaveDB-generated columns in this output, such as mapped variant HGVS strings and VRS identifiers, if available. +The downloaded file contains the same data that was uploaded by the submitter, with an additional column for variant [URNs](../reference/accession-numbers.md) that uniquely identify each variant in MaveDB. Using the **Custom Data** option, users may also choose to include other MaveDB-generated columns in this output, such as mapped variant HGVS strings and VRS identifiers, and — where available — annotation columns for gnomAD allele frequency, Ensembl VEP consequence, ClinGen allele IDs, and ClinVar clinical significance. !!! warning Score and count columns are non-prescriptive and may vary between datasets. Columns may mean different things between datasets, so users should refer to the dataset methods section for details on the specific columns included in each download. -### Mapped variants (VRS JSON) +### Variant details (VRS JSON) -MaveDB stores [mapped variants](../reference/variant-mapping.md) using the [GA4GH VRS](https://vrs.ga4gh.org/) standard for representing genetic variants. For datasets that have been mapped, users may download a JSON file containing all mapped variants associated with the score set. This provides a structured representation of each variant including genomic coordinates, alleles, and reference sequences. +MaveDB represents [mapped variants](../reference/variant-mapping.md) using the [GA4GH VRS](https://vrs.ga4gh.org/) standard. For datasets that have been mapped, the **Variant Details** button downloads a [newline-delimited JSON](https://jsonlines.org/) (NDJSON) file — one record per mapped variant, the bulk counterpart of a single variant's detail page. Each record carries the assayed-level (pre-mapped) and measured (post-mapped) VRS objects, the full [GA4GH Cat-VRS](https://vrs.ga4gh.org/) categorical variant (the variant's equivalence class of related alleles), and its gnomAD, Ensembl VEP, and ClinVar annotations. ### Annotated variants (VA-Spec) diff --git a/docs/content/finding-data/index.md b/docs/content/finding-data/index.md index c3aa642f..74bc0843 100644 --- a/docs/content/finding-data/index.md +++ b/docs/content/finding-data/index.md @@ -6,7 +6,7 @@ MaveDB provides several ways to discover, explore, and download MAVE datasets. W - **[Searching Datasets](searching.md)** -- Find MAVE datasets by gene name, target organism, publication, or keywords using the MaveDB search interface. - **[Visualizations](visualizations.md)** -- Explore variant effect data through interactive histograms, heatmaps, and 3D protein structure views on score set pages. -- **[Downloading Data](downloading.md)** -- Download variant scores, counts, mapped variants, and annotated data in CSV, VRS JSON, and VA-Spec formats, or access a bulk archive via Zenodo. +- **[Downloading Data](downloading.md)** -- Download variant scores, counts, variant details, and annotated data in CSV, VRS JSON, and VA-Spec formats, or access a bulk archive via Zenodo. - **[External Integrations](external-integrations.md)** -- Learn how MaveDB connects with ClinGen, ClinVar, gnomAD, Ensembl VEP, DECIPHER, and other resources. Looking for a specific variant? Use the [MaveMD variant search](../mavemd/variant-search.md) to look up individual variants by HGVS, ClinVar ID, dbSNP RSID, or ClinGen Allele ID. diff --git a/docs/content/images/download_buttons.png b/docs/content/images/download_buttons.png index d2c7512a..45b8cb45 100644 Binary files a/docs/content/images/download_buttons.png and b/docs/content/images/download_buttons.png differ diff --git a/docs/content/interpreting-annotated-variants.md b/docs/content/interpreting-annotated-variants.md new file mode 100644 index 00000000..ce1fec57 --- /dev/null +++ b/docs/content/interpreting-annotated-variants.md @@ -0,0 +1,98 @@ +# Interpreting annotated variants + +When you upload a variant to MaveDB, it is described relative to the experiment's own target sequence. Before that variant can be searched, compared to clinical databases, or interpreted in a clinical context, MaveDB does two things to it: + +1. **Maps** it onto standard human reference coordinates (GRCh38), and +2. **Annotates** it with data from external resources — clinical significance (ClinVar), population frequency (gnomAD), and predicted consequences (Ensembl VEP). + +The result is an **annotated variant**: the original measurement, expressed across molecular levels and enriched with external evidence. This page explains what each element of an +annotated variant represents and how they can be interpreted. + +!!! info "Rolling out" + These multi-level representations are still being deployed across MaveDB. Some published datasets may not yet have a full derived variant data set as described below. + +## One variant, several representations + +A variant can be described at three molecular levels: + +- **Genomic** (`g.`) — position on the chromosome. +- **Coding** (`c.`) — position within a transcript's coding sequence. +- **Protein** (`p.`) — the amino-acid change. + +MaveDB shows a variant at whichever of these levels apply. The important point is that **these levels are not all equally direct.** An assay measures a variant at one of these levels. We must *derive* all other levels from that measurement. How faithfully a level can be derived and interpreted depends on the underlying biology, which the labels below seek to capture. + +## Measured, resolved, convergent, and candidate + +Every representation of an annotated variant carries one of four labels describing how it relates to the variant the assay explicitly measured: + +| Label | What it means | How much to trust it | +|---|---|---| +| **Measured** | The level at which the variant was assayed. This is the observed experimental result. | Highest — this is the evidence itself. | +| **Resolved** | The measured change expressed at another coordinate level: its exact coordinate partner across the coding and genomic levels, or the single protein consequence of a measured DNA change. Deterministic and precise. | High — one measured change maps to exactly one resolved representation, with no guesswork. | +| **Convergent** | A *distinct*, real nucleotide change that produces the *same* protein change as the measured variant — a separate variant that converges on the same consequence, not the one assayed here. | Moderate — a precise variant, but a different one from what was measured. | +| **Candidate** | One of *several possible* nucleotide spellings behind a protein-level measurement, when the DNA change that was actually assayed is unknown. | Interpret with care — MaveDB surfaces all of them and privileges none. | + +These four labels form a confidence ladder. **Measured** is the experimental result itself; **Resolved** is a faithful, one-to-one translation of it to another coordinate level. **Convergent** and **Candidate** are both *other* nucleotide changes that share the measured protein change — the difference is precision: a **convergent** variant is a distinct, real change that happens to encode the same amino acid, whereas a **candidate** is one of several possible spellings of a protein-level measurement whose true DNA change is unknown. + +## Why one protein change can produce several candidates + +Assays that measure variants at the **protein level** create ambiguity when their variants are expressed at the nucleotide level. Because the genetic code is redundant, a single amino-acid change can be spelled by more than one nucleotide change. The assay does not observe which one occurred. + +!!! example "A protein change fanning out to candidates" + Suppose an assay measured the protein change **p.Glu23Asp** (glutamate → aspartate). + + Glutamate is encoded by `GAA` or `GAG`; aspartate by `GAT` or `GAC`. If the coding sequence uses `GAA` at this position (`c.67_69`), aspartate can be reached by **two different single-nucleotide changes**: + + - **c.69A>T** → `GAT` (Asp) + - **c.69A>C** → `GAC` (Asp) + + Both produce exactly the observed protein change, and nothing in a protein-level measurement tells you which one the underlying DNA carried. MaveDB therefore surfaces **both** as *candidates*. + +MaveDB shows the full set for a reason: most clinically relevant external databases serve annotations at the DNA level. Surfacing the complete candidate set allows us to link a protein level variant to all possible clinically relevant annotations. + +### Not everything can be reverse-translated + +Not every protein change can be reverse-translated. Simple **substitutions** (and single-residue deletions) can be; more complex edits — insertions, delins, and frameshifts — cannot, so a protein-only measurement of one of these shows **no** derived coding or genomic variants. + +For the mechanism behind candidate generation — codon enumeration, synonymous handling, transcript selection, and the intronic/exon-spanning flags — see [Reverse Translation & Projection](mapping/reverse-translation.md). + +## Where you will (and won't) see candidates + +*Where* you look changes *what* you see: + +- **Detail surfaces** — the MaveMD [variant page](mavemd/variant-page.md) and the score set detail panel — show the full set of representations, each with its Measured / Resolved / Convergent / Candidate label. +- **Overview surfaces** — search results and the score set table — show only the primary representation. For a protein-only assay, the coding and genomic slots may simply be **empty** rather than showing a candidate. MaveDB does not fabricate a single DNA coordinate where only an ambiguous set exists. + +So a variant that appears to have no coding or genomic coordinate in a search result may still have a full set of candidates on its detail page. + +## Annotations across representations + +External annotations (ClinVar, gnomAD, Ensembl VEP) attach at the level where those resources describe variants — almost always DNA. Because a measured level and its derived siblings are different molecular descriptions, they can occasionally carry **different** annotations. When that happens, MaveDB shows them per-level rather than merging them. + +When annotations diverge, weigh the annotation on the **measured** level most heavily — it describes the variant that was actually assayed. A sibling representation's annotation is supporting context, not the primary signal. + +How annotations are attached, and how divergence is handled, is covered in [Annotation](mapping/annotation.md); for what each external resource provides, see [External Integrations](finding-data/external-integrations.md). + +## Identifiers + +MaveDB variants carry ClinGen Allele identifiers, which act as stable cross-references to other clinical genomics resources. The identifier tracks the **level of the representation**, not the level that was measured: + +- **Nucleotide** representations (genomic and coding) carry a **canonical-allele (CA)** identifier. +- **Protein** representations carry a **protein-allele (PA)** identifier. + +Because every variant is projected up to its protein consequence, an annotated variant typically has a **PA identifier for its protein level and CA identifiers for its nucleotide representations — regardless of the level at which it was originally measured.** A variant measured at the nucleotide level still projects up to a protein representation with its own PA identifier; a protein-only measurement still receives a CA identifier for each of its nucleotide candidates. + +## In short + +- A variant is shown across genomic, coding, and protein levels. It can only be **measured** at one level. All other levels are derived. +- A **resolved** representation is a faithful one-to-one derivation of the measured change. A **convergent** variant is a distinct real change that produces the same protein consequence. A **candidate** is one of several possible spellings of a protein measurement, and is never treated as canonical. +- A protein-only assay can fan out to several DNA candidates — or, for edits that can't be reverse-translated, to none. +- Trust in order: **measured**, then **resolved**, then **convergent**, then **candidate**. +- Detail pages show the full picture; overview and search surfaces may be limited to only the primary representation. + +## See also + +- [Variant page](mavemd/variant-page.md) — reading these representations on the MaveMD clinical interface +- [Variant mapping](reference/variant-mapping.md) — how variants are mapped to reference coordinates +- [External Integrations](finding-data/external-integrations.md) — the ClinVar, gnomAD, and ClinGen resources behind annotations +- [Data Formats](submitting-data/data-formats.md) — how variants are described on upload diff --git a/docs/content/mapping/annotation.md b/docs/content/mapping/annotation.md new file mode 100644 index 00000000..ff02a078 --- /dev/null +++ b/docs/content/mapping/annotation.md @@ -0,0 +1,38 @@ +# Annotation + +Once a variant has been [mapped](../reference/variant-mapping.md) and its other molecular levels [derived](reverse-translation.md), MaveDB annotates each representation with data from external resources. This is the final stage of the pipeline, and it is what connects a functional measurement to the wider clinical-genomics ecosystem. + +This page describes annotation as a **pipeline stage** — what is annotated, and at what grain. For what a given annotation *means* and how to weigh it, see [Interpreting Annotated Variants](../interpreting-annotated-variants.md). For a per-resource description of each external source, see [External Integrations](../finding-data/external-integrations.md). + +!!! info "Rolling out" + Annotation of derived (reverse-translated) representations is still being deployed across MaveDB. Some published datasets may not yet carry the full set of annotations described here. + +## Registration comes first + +Before annotation, each allele is registered with the [ClinGen Allele Registry](https://reg.clinicalgenome.org/) to obtain a stable **ClinGen Allele ID** (a CA identifier for nucleotide representations, a PA identifier for protein). These identifiers are the join keys MaveDB uses to look a variant up in external resources, so registration precedes the annotations that depend on it. + +## What gets annotated + +MaveDB attaches three kinds of annotation: + +- **Clinical significance** — classifications from [ClinVar](https://www.ncbi.nlm.nih.gov/clinvar/). +- **Population frequency** — allele frequencies from [gnomAD](https://gnomad.broadinstitute.org/). +- **Predicted consequence** — molecular consequence predictions from [Ensembl VEP](https://www.ensembl.org/info/docs/tools/vep/index.html). + +Each is attached at the level the resource describes variants, almost always DNA. See [External Integrations](../finding-data/external-integrations.md) for what each resource provides and how MaveDB links to it. + +## Annotation grain + +Annotations are attached **per representation**, not per variant. Every allele in a variant's set, the measured one and each derived (resolved, convergent, or candidate) representation, is annotated independently. + +This matters because a measured allele and its derived siblings are distinct molecular descriptions, so they can carry **different** annotations. When that happens, MaveDB keeps them per-level rather than merging them into one. Which annotation to prioritize in that situation is an interpretation question. For more details on interpreting annotations across representations, see [Interpreting Annotated Variants](../interpreting-annotated-variants.md#annotations-across-representations). + +## When annotation runs + +Annotation runs automatically after mapping and reverse translation, once a score set's alleles have been registered with ClinGen. When a score set is re-mapped, its annotations are refreshed against the new representations. + +## See also + +- [Interpreting Annotated Variants](../interpreting-annotated-variants.md) — what annotations mean and how to weigh divergence +- [External Integrations](../finding-data/external-integrations.md) — per-resource detail for ClinVar, gnomAD, VEP, and ClinGen +- [Reverse Translation & Projection](reverse-translation.md) — produces the representations that get annotated diff --git a/docs/content/mapping/forward-mapping.md b/docs/content/mapping/forward-mapping.md new file mode 100644 index 00000000..fe20642d --- /dev/null +++ b/docs/content/mapping/forward-mapping.md @@ -0,0 +1,83 @@ +# Forward mapping + +Forward mapping is the first stage of the [mapping and annotation pipeline](index.md). MaveDB uses the variant descriptions in a score set's [score and count data tables](../submitting-data/data-formats.md) to place each variant onto standard human reference coordinates. This is what allows MaveDB to integrate with [external resources such as ClinGen, ClinVar, and gnomAD](../finding-data/external-integrations.md), powers the [MaveMD variant search](../mavemd/variant-search.md), and enables [score calibrations](../reference/score-calibrations.md) for clinical interpretation. + +!!! note + Mapping is only performed for datasets with a **human** target sequence. + +This method was developed by [Arbesfeld et al. (2025)](https://doi.org/10.1186/s13059-025-03647-x) and is described in detail in the linked publication. The sections below give a mechanical overview of the pipeline and surface the notable choices behind it — the ones a reader might reasonably contest. + +## Why mapping is needed + +Most MAVE experiments describe variants relative to an assay-specific target sequence uploaded by the data submitter. This target sequence is often not identical to a human reference sequence — it may be codon-optimized for expression in a model organism, contain synthetic elements such as minigene constructs, or represent only a portion of the full gene. Additionally, protein-level variants from cDNA-based assays may span exon boundaries when represented at the genomic level. + +These differences mean that MAVE variant descriptions cannot be directly compared to variants reported by clinical sequencing pipelines or described in databases like ClinVar. Mapping resolves this by translating each variant from the experimental target-sequence coordinate system to standard human reference coordinates (GRCh38). + +## Mapping process + +Mapping runs when a score set's variant data is [uploaded](../submitting-data/upload-guide.md). It involves the following steps: + +```mermaid +flowchart LR + A["Target sequence
alignment
(BLAT → GRCh38)"] --> B["Transcript
selection
(MANE Select)"] + B --> C["Variant
translation
(MAVE-HGVS → HGVS)"] + C --> D["VRS
translation
(HGVS → VRS)"] +``` + +1. **Target sequence alignment**: The target sequence is aligned to the GRCh38 assembly with [BLAT](https://genome.ucsc.edu/FAQ/FAQblat.html) — nucleotide targets directly against the genome, amino-acid targets in protein space instead. The alignment fixes the target's genomic location and candidate transcripts, and the **gene is taken from the locus the target aligns to**, not from a submitter-declared gene name. *(A deliberate choice: alignment is the objective signal, but it means a target that aligns unexpectedly resolves to whatever gene sits at that locus.)* + +2. **Transcript selection**: MaveDB maps to a **single representative transcript** per target rather than to every overlapping transcript, prioritizing [MANE Select](https://www.ncbi.nlm.nih.gov/refseq/MANE/) (the clinical-reporting standard), then MANE Plus Clinical, and falling back to the longest compatible transcript when no MANE transcript applies. An offset is computed to locate the MAVE sequence within the selected reference. *(A deliberate choice: one stable, standard coordinate system, at the cost of not representing alternate transcripts.)* + +3. **Variant translation**: Each variant in the score and count data tables is converted from [MAVE-HGVS](../submitting-data/data-formats.md#variant-columns) format to standard HGVS format and translated with respect to the selected transcript. This step accounts for any offset between the target sequence and the transcript. + +4. **VRS translation**: The HGVS descriptions are converted to [GA4GH VRS](https://vrs.ga4gh.org/en/stable/) format using the [VRS-Python](https://github.com/ga4gh/vrs-python) library. Each representation receives a unique, computable VRS digest, enabling precise identification and data provenance. + +!!! warning "Review mapping results" + In some cases, variants may not be successfully mapped due to issues such as ambiguous target sequences, complex variant types, or discrepancies between the target and reference genome. MaveDB logs these instances and provides feedback to data contributors to help resolve mapping issues. + + Although some mapping failures represent true limitations of the data, others can be addressed by correcting errors in the submitted variants or target sequences. + + **It is highly recommended that data contributors review the mapping results after uploading a score set to ensure that variants have been accurately mapped.** Contributors can view mapping results on the score set page and download a report of mapped and unmapped variants. + + Mapping failures do not prevent datasets from being published in MaveDB, but a successful mapping is required for certain features such as [variant search](../mavemd/variant-search.md), linkages with certain [external resources](../finding-data/external-integrations.md), and inclusion in [MaveMD](../mavemd/index.md). + +## How a mapped variant is represented + +A mapped variant is not stored as a single object but as a small **set of representations**: + +- The original **assay-level** (target-relative) form is retained, so the experimental context is never lost. +- Each **reference-level** representation — genomic, coding, and protein, wherever the biology allows — is stored as a distinct allele, each carrying its own GA4GH VRS object and stable digest. + +This unified, per-level representation is what lets a variant be expressed consistently across molecular levels and matched against external resources. The [reverse translation and projection](reverse-translation.md) stage fills in the levels a given assay did not measure. [Interpreting Annotated Variants](../interpreting-annotated-variants.md) explains how to read the resulting multi-level view. *(A deliberate choice: per-level VRS alleles plus the retained assay-level form give cross-level identity and provenance, rather than collapsing a variant to a single canonical representation.)* + +## Assay target vs. human reference + +Because an assay's target sequence is often not identical to the human reference, the assay-level representation and its mapped reference-level counterpart can **differ**. Retaining both (as above) keeps that difference visible rather than flattening it away — which is a core provenance goal of mapping: the original experimental context is never lost, downstream users can see exactly how the assay relates to the human reference, and clinical users can judge whether the experimental evidence is appropriate for their interpretation context. + +These differences are expected, not errors. They arise from legitimate differences between experimental and reference sequences: + +- **Codon optimization** — synonymous nucleotide changes introduced to optimize expression in the assay system. +- **Non-homologous sequence content** — synthetic elements like minigene constructs that do not align to the human genome. +- **Exon-boundary spanning** — protein-level changes that, at the genomic level, correspond to nucleotide changes across exon–intron boundaries. + +## What isn't mapped + +Not every submitted variant yields a mapped representation, and an absence is not always a failure. MaveDB distinguishes two cases: + +- **Benign absences** — variants that legitimately have no reference-level representation, recorded but with no mapped allele. The main case is a **submitted intronic variant**: an intronic position has no protein consequence and cannot be represented at the levels MaveDB serves. Other changes with no protein consequence are treated the same way. +- **Failures** — variants that *should* map but didn't: ambiguous alignments, complex or malformed variant descriptions, or discrepancies between the target and reference genome. These are surfaced in the mapping report for the contributor to review. + +Only genuine failures count against a score set's mapping; benign absences do not, and neither blocks publication. + +## Programmatic access + +Mapped representations are available through the [MaveDB API](../programmatic-access/api-quickstart.md) and are downloadable from individual score set pages in [VRS and VA-Spec JSON formats](../reference/data-standards.md#vrs-variant-representation). + +## See also + +- [Variant mapping & annotation](index.md) — the pipeline this stage belongs to +- [Reverse Translation & Projection](reverse-translation.md) — deriving the levels an assay did not measure +- [Interpreting Annotated Variants](../interpreting-annotated-variants.md) — reading a variant's representations across levels +- [External Integrations](../finding-data/external-integrations.md) — how mapping connects MaveDB to external genomic platforms +- [Data Formats](../submitting-data/data-formats.md) — how variants are described in score and count data files +- [Targets](../submitting-data/targets.md) — sequence-based and accession-based target types diff --git a/docs/content/mapping/index.md b/docs/content/mapping/index.md new file mode 100644 index 00000000..da5eb0af --- /dev/null +++ b/docs/content/mapping/index.md @@ -0,0 +1,40 @@ +# Variant mapping & annotation + +MaveDB describes each uploaded variant relative to the experiment's own target sequence. Before a variant can be searched, compared to clinical databases, or interpreted clinically, MaveDB runs it through a pipeline that **maps** it onto standard human reference coordinates and **annotates** it with data from external resources. This section documents how that pipeline works. + +!!! tip "Looking for what the results *mean*?" + This section covers *how* variants are processed. For what the resulting representations and labels mean — Measured, Resolved, Convergent, Candidate — and how to weigh them, see [Interpreting Annotated Variants](../interpreting-annotated-variants.md). + +!!! note + Mapping and annotation are only performed for datasets with a **human** target sequence. + +## The pipeline at a glance + +```mermaid +flowchart LR + U["Score set
upload"] --> F["Forward mapping
target → reference"] + F --> R["Reverse translation
& projection
fill in other levels"] + R --> A["Annotation
attach external data"] + A --> S["Available across
MaveDB"] +``` + +1. **[Forward mapping](../reference/variant-mapping.md)** — the target sequence is aligned to GRCh38, a representative transcript is selected, and each variant is translated from the experiment's coordinates into standard HGVS and VRS representations. This is where concordance with the human reference is assessed. +2. **Reverse translation & projection** — the levels the assay *didn't* measure are derived from the one it did. A protein-only measurement gains coding and genomic representations; a DNA measurement gains its protein consequence. See [Reverse Translation & Projection](reverse-translation.md). +3. **[Annotation](annotation.md)** — the mapped and derived representations are cross-referenced against external resources (ClinVar, gnomAD, Ensembl VEP) at the level where each resource describes variants. + + +!!! info "Rolling out" + Reverse translation and projection of protein-only variants are still being deployed across MaveDB. Some published datasets may not yet show the full set of derived representations. + +## When the pipeline runs + +Mapping and annotation run automatically when a score set's variant data is [uploaded](../submitting-data/upload-guide.md). Results are visible on the score set page. A score set can also be re-mapped later; when that happens, the earlier results are superseded and the new ones take their place. + +!!! warning "Review your mapping results" + Some variants may not map — because of ambiguous target sequences, complex variant types, or discrepancies between the target and reference genome. Mapping failures do not prevent publication, but mapped variants are required for [variant search](../mavemd/variant-search.md), some [external integrations](../finding-data/external-integrations.md), and inclusion in [MaveMD](../mavemd/index.md). **Contributors are strongly encouraged to review mapping results after upload**; MaveDB flags failures and provides a downloadable report. + +## See also + +- [Interpreting Annotated Variants](../interpreting-annotated-variants.md) — what the mapped and derived representations mean +- [External Integrations](../finding-data/external-integrations.md) — the external resources behind annotations +- [Data Formats](../submitting-data/data-formats.md) — how variants are described on upload diff --git a/docs/content/mapping/reverse-translation.md b/docs/content/mapping/reverse-translation.md new file mode 100644 index 00000000..f11d5908 --- /dev/null +++ b/docs/content/mapping/reverse-translation.md @@ -0,0 +1,68 @@ +# Reverse translation & projection + +[Forward mapping](../reference/variant-mapping.md) describes a variant at the level the assay measured. **Reverse translation and projection** fill in the *other* molecular levels, so that every variant can be expressed at the genomic, coding, and amino acid levels wherever the biology allows: + +- **Reverse translation** works *downward*, from a measured **protein** change to the **DNA** changes that could produce it. +- **Projection** works between the coding and genomic levels, and *upward* from a measured DNA change to its **protein** consequence. + +This is the stage that produces the **resolved**, **convergent**, and **candidate** representations described in [Interpreting Annotated Variants](../interpreting-annotated-variants.md). That page explains what those labels *mean*; this page explains the mechanism that produces them. + +!!! info "Rolling out" + Reverse translation and projection of protein-only variants are still being deployed across MaveDB. Some published datasets may not yet show the full set of derived representations. + +## Why reverse translation is needed + +Protein-level assays measure amino-acid changes, but the clinical resources MaveDB integrates with ([ClinVar, gnomAD](../finding-data/external-integrations.md), and others) describe variants at the DNA level. To connect a protein measurement to those resources, MaveDB has to work out which DNA changes could give rise to the observed amino-acid change. That backward step is reverse translation. + +## From one protein change to DNA candidates + +For a measured amino-acid substitution, MaveDB enumerates every single-nucleotide change to the affected codon that produces it. Because the genetic code is redundant, there is often more than one. + +The enumeration is exhaustive over these codon-level changes, which is why a protein change can fan out to several DNA candidates ([worked example](../interpreting-annotated-variants.md#why-one-protein-change-can-produce-several-candidates)). Surfacing the complete set is what lets a protein-level measurement match against *any* of the DNA descriptions those changes might appear under in an external database. Collapsing to a single arbitrary spelling would assert functional data exists for a DNA variant that was never measured. + +### What can and can't be reverse-translated + +Reverse translation works on amino-acid **substitutions** (including changes to a stop codon) and **single-residue deletions**. Other protein-level edits — insertions, delins, frameshifts, and stop-loss changes — are not currently supported, so a protein-only measurement of one of these produces **no** coding or genomic representation. + +For the changes it does handle, MaveDB casts a deliberately wide net over candidate spellings. Alongside single-nucleotide substitutions it also generates small codon-local insertion, deletion, delins candidates (indels up to three nucleotides), and length-changing candidates for premature-stop changes. The goal is to surface every DNA description a change might plausibly appear under in an external database. + +### Synonymous changes + +A **synonymous** (silent) change leaves the amino acid unchanged, so there is no amino-acid difference to reverse-translate in the usual sense. MaveDB still gives these a DNA representation by generating a **wild-type codon candidate** — the reference codon at that position, spelled out. For amino acids encoded by a single codon (methionine, tryptophan) that codon is unambiguous. For all others, MaveDB looks up the transcript's actual codon. + +## Projection between and across levels + +Once reverse translation produces DNA candidates, **projection** establishes the faithful, one-to-one relationships between representations: + +- **Coding ↔ genomic.** A coding change and its genomic description refer to the same underlying edit. MaveDB keeps them paired, so each coding representation carries a known genomic partner rather than an unlinked coordinate. This pairing is what lets a coordinate partner be labeled **Resolved** rather than left as an ambiguous candidate. When a coding candidate cannot be projected onto genomic coordinates, the pair is one-sided: the coding representation stands on its own, with no genomic partner recorded. +- **DNA → protein.** A measured DNA change has exactly one protein consequence, computed by forward-translating the codon. This is always **Resolved** — there is no ambiguity in this direction. + +Because a coding variant projects up to its protein consequence, and coding/genomic descriptions stay paired, MaveDB can present a coherent multi-level view of a variant even when only one level was measured. (A non-coding target has no protein consequence, so this step does not apply to it.) + +## Candidates versus convergent variants + +The same codon enumeration can yield either *candidates* or *convergent* variants. The difference is whether MaveDB knows which nucleotide change was actually assayed: + +- When a variant is **measured at the amino acid level**, the underlying DNA change is unknown, so every enumerated spelling is equally uncertain. Each is a **candidate**. +- When a variant is **measured at the nucleotide level**, that exact change is known. Its coordinate partner and protein consequence are **resolved**, and the *other* nucleotide changes that encode the same protein consequence become **convergent** variants — distinct, precise variants that converge on the same amino-acid change but are not the one assayed. + +So a candidate reflects *uncertainty about a single measurement*, whereas a convergent variant is *a different, real variant* that happens to share a protein consequence. + +## Transcript selection + +Reverse translation places a protein change onto a coding transcript. MaveDB chooses that transcript to stay consistent with forward mapping: + +1. Where forward mapping already selected a coding transcript for the variant, reverse translation uses that **same transcript**, so the derived coordinates line up with the mapped ones. +2. For a protein-only measurement with no coding mapping, MaveDB resolves the protein accession (`NP_`/`XP_`) to a coding transcript through UTA, preferring `NM_` over `XM_` over `ENST`, then the highest version. + +If no transcript can be resolved, the variant is not reverse-translated. + +## Reference data and reproducibility + +Reverse translation runs on the transcript chosen during [mapping](../reference/variant-mapping.md) and against a pinned transcript-database (UTA) snapshot, used for transcript resolution and codon lookups. If that reference data changes, some candidates can change. All coordinates are relative to the **GRCh38** assembly. + +## See also + +- [Interpreting Annotated Variants](../interpreting-annotated-variants.md) — what Measured, Resolved, Convergent, and Candidate mean +- [Variant mapping](../reference/variant-mapping.md) — the forward mapping that precedes this stage +- [External Integrations](../finding-data/external-integrations.md) — the DNA-level resources candidates are matched against diff --git a/docs/content/mavemd/variant-page.md b/docs/content/mavemd/variant-page.md index 5d52f1f1..a49dba74 100644 --- a/docs/content/mavemd/variant-page.md +++ b/docs/content/mavemd/variant-page.md @@ -20,6 +20,14 @@ This is important because different assays may measure different molecular prope You can also navigate to the full [score set page](../finding-data/visualizations.md) for the selected assay to view the complete dataset, including the heatmap, all variant scores, and detailed metadata. +## Direct and indirect measurements + +Each measurement is flagged **Direct** or **Indirect**. A direct measurement assayed your variant itself. An indirect one assayed a related variant instead: the protein change your variant produces, or a different nucleotide variant that encodes the same protein change. When you select an indirect measurement, a notice at the top of the functional evidence section names the variant the score was measured on, because that score stands in for your variant rather than measuring it. + +## View options + +The **View options** button in the page header holds two settings that change which measurements are shown: **MaveDB as of**, which shows the molecular and annotation layer as MaveDB held it on a past date (scores never change), and **Show superseded score sets**. The button shows a count when either is set. The **Key** button beside it opens a glossary of the terms on this page. + ## Assay facts Each dataset on the variant page includes an [assay fact](../reference/assay-facts.md) label that summarizes the key properties of the functional assay. These labels are designed to help you quickly assess whether an assay is relevant to your clinical context. Key properties include: @@ -38,7 +46,7 @@ For the full list of assay fact properties and their definitions, see the [assay ## Annotations -Beneath the assay details, an annotations card gathers evidence about the variant itself, independent of any one assay. **Classification** reports the selected measurement's functional score, ACMG code, and OddsPath ratio. +Beneath the assay details, an annotations card gathers evidence about the variant itself, independent of any one assay. **Functional impact** reports the selected measurement's functional score, ACMG code, and OddsPath ratio. **Population frequency** reports the variant's frequency in [gnomAD](../finding-data/external-integrations.md#gnomad), where it is present: diff --git a/docs/content/programmatic-access/api-quickstart.md b/docs/content/programmatic-access/api-quickstart.md index 359db99e..51a34b55 100644 --- a/docs/content/programmatic-access/api-quickstart.md +++ b/docs/content/programmatic-access/api-quickstart.md @@ -164,21 +164,22 @@ The search endpoint uses POST with a JSON body: -d '{"text": "BRCA1"}' ``` -### Download mapped variants (VRS format) +### Download variant details (VRS format) -For datasets with human targets, [mapped variants](../reference/variant-mapping.md) are available in [GA4GH VRS](https://vrs.ga4gh.org/) format: +For datasets with human targets, the mapped [variant details](../reference/variant-mapping.md) are available in [GA4GH VRS](https://vrs.ga4gh.org/) format. The `/variant-details` endpoint is the bulk pair of `GET /variants/{urn}`: it streams [newline-delimited JSON](https://jsonlines.org/) (NDJSON), one `VariantDetail` per mapped variant, each carrying the flat `preMapped`/`postMapped` VRS pair, the full [GA4GH Cat-VRS](https://vrs.ga4gh.org/) categorical variant (its equivalence class of related alleles), and the VEP, gnomAD, and ClinVar annotations: === "Python" ```python + import json import requests response = requests.get( - "https://api.mavedb.org/api/v1/score-sets/urn:mavedb:00000003-a-1/mapped-variants" + "https://api.mavedb.org/api/v1/score-sets/urn:mavedb:00000003-a-1/variant-details" ) - with open("mapped_variants.json", "w") as f: - f.write(response.text) + # NDJSON: one VariantDetail object per line. + variants = [json.loads(line) for line in response.text.splitlines() if line] ``` === "R" @@ -186,15 +187,15 @@ For datasets with human targets, [mapped variants](../reference/variant-mapping. ```r library(httr) - response <- GET("https://api.mavedb.org/api/v1/score-sets/urn:mavedb:00000003-a-1/mapped-variants") - writeLines(content(response, as = "text"), "mapped_variants.json") + response <- GET("https://api.mavedb.org/api/v1/score-sets/urn:mavedb:00000003-a-1/variant-details") + writeLines(content(response, as = "text"), "variant_details.ndjson") ``` === "curl" ```bash - curl -o mapped_variants.json \ - https://api.mavedb.org/api/v1/score-sets/urn:mavedb:00000003-a-1/mapped-variants + curl -o variant_details.ndjson \ + https://api.mavedb.org/api/v1/score-sets/urn:mavedb:00000003-a-1/variant-details ``` ### List score sets in an experiment diff --git a/docs/content/reference/assay-facts.md b/docs/content/reference/assay-facts.md index 31a9e274..dc47a049 100644 --- a/docs/content/reference/assay-facts.md +++ b/docs/content/reference/assay-facts.md @@ -28,7 +28,7 @@ MaveDB captures key facts about the experimental assay used to generate variant : Whether the assay is capable of detecting splicing variants. Based on assay design, and inferred based on a combination of the [variant library creation method](controlled-vocabulary.md#variant-library-creation-methods) and other terms. **Detects NMD variants** -: Whether the assay is capable of detecting NMD variants. Based on assay design, and inferred based on a combination of the [variant library creation method](controlled-vocabulary.md#variant-library-creation-methods) and other terms. +: Whether the assay is capable of detecting variants that trigger nonsense-mediated decay (NMD). Based on assay design, and inferred based on a combination of the [variant library creation method](controlled-vocabulary.md#variant-library-creation-methods) and other terms. **OddsPaths** : The OddsPath score calculated for abnormal and normal functional readouts, if applicable. These OddsPaths are based on the framework described in [Brnich et al., 2019](https://doi.org/10.1186/s13073-019-0690-2). diff --git a/docs/content/reference/data-standards.md b/docs/content/reference/data-standards.md index 58a447bd..944cfa0e 100644 --- a/docs/content/reference/data-standards.md +++ b/docs/content/reference/data-standards.md @@ -297,29 +297,41 @@ Additionally, variants with a null score value cannot be exported as Functional VRS and VA-Spec objects exported from MaveDB are self-contained but reference other data — sequences, score sets, and variant identifiers — that you can resolve through the MaveDB API. This section walks through the end-to-end workflow of downloading these objects and extracting the information they contain. -### Downloading mapped variants +### Downloading variant details -Start by fetching the mapped variants for a score set. The response is a JSON array of VRS objects, each paired with its MaveDB scores. +Start by fetching the variant details for a score set. The response is [NDJSON](https://github.com/ndjson/ndjson-spec) — one JSON record per line, so a large score set can be processed a line at a time rather than held in memory. Each record carries the `preMapped`/`postMapped` VRS pair, the GA4GH categorical variant, and the annotation map. Only mapped variants appear; a variant with no VRS is omitted. + +!!! note "Replaces `/mapped-variants`" + + The older `GET /score-sets/{urn}/mapped-variants` endpoint has been removed and now returns `410 Gone`. Use `/variant-details` instead — it carries everything that export did, plus categorical-variant membership and annotations. === "Python" ```python + import json + import requests BASE_URL = "https://api.mavedb.org/api/v1" urn = "urn:mavedb:00000003-a-1" - response = requests.get(f"{BASE_URL}/score-sets/{urn}/mapped-variants") - mapped_variants = response.json() - - # Each entry contains a VRS object and associated scores - for mv in mapped_variants[:3]: - variant = mv["post_mapped"] - print(variant["id"], variant["expressions"][0]["value"]) + # stream=True keeps the whole file out of memory; records arrive one per line. + with requests.get(f"{BASE_URL}/score-sets/{urn}/variant-details", stream=True) as response: + response.raise_for_status() + for line in response.iter_lines(): + if not line: + continue + detail = json.loads(line) + variant = detail["postMapped"] + expressions = variant.get("expressions") or [] + hgvs = expressions[0]["value"] if expressions else None + print(detail["urn"], variant.get("id"), hgvs) ``` === "R" + This buffers the whole response; see the Python tab for line-at-a-time processing. + ```r library(httr) library(jsonlite) @@ -327,20 +339,22 @@ Start by fetching the mapped variants for a score set. The response is a JSON ar base_url <- "https://api.mavedb.org/api/v1" urn <- "urn:mavedb:00000003-a-1" - response <- GET(paste0(base_url, "/score-sets/", urn, "/mapped-variants")) - mapped_variants <- content(response, as = "parsed") + response <- GET(paste0(base_url, "/score-sets/", urn, "/variant-details")) + lines <- strsplit(content(response, as = "text", encoding = "UTF-8"), "\n")[[1]] - for (mv in mapped_variants[1:3]) { - variant <- mv$post_mapped - cat(variant$id, variant$expressions[[1]]$value, "\n") + for (line in head(Filter(nzchar, lines), 3)) { + detail <- fromJSON(line, simplifyVector = FALSE) + variant <- detail$postMapped + hgvs <- if (length(variant$expressions)) variant$expressions[[1]]$value else NA + cat(detail$urn, variant$id, hgvs, "\n") } ``` === "curl" ```bash - curl -o mapped_variants.json \ - https://api.mavedb.org/api/v1/score-sets/urn:mavedb:00000003-a-1/mapped-variants + curl -o variant_details.ndjson \ + https://api.mavedb.org/api/v1/score-sets/urn:mavedb:00000003-a-1/variant-details ``` ### Retrieving reference sequences (refget) diff --git a/docs/content/reference/variant-mapping.md b/docs/content/reference/variant-mapping.md index b49ffab1..62f8ae2b 100644 --- a/docs/content/reference/variant-mapping.md +++ b/docs/content/reference/variant-mapping.md @@ -77,7 +77,7 @@ These integrations also enable the [MaveMD](../mavemd/index.md) clinical interfa ## Programmatic access -Mapped variants are available through the [MaveDB API](../programmatic-access/api-quickstart.md) via the `/mapped-variants` endpoint, which returns pre-mapped and post-mapped VRS objects as JSON. Mapped variant files are also downloadable from individual score set pages in [VRS JSON format](data-standards.md#vrs-variant-representation). +Mapped variants are available through the [MaveDB API](../programmatic-access/api-quickstart.md) via the `/variant-details` endpoint, which streams one NDJSON record per mapped variant, each carrying the pre-mapped and post-mapped VRS pair alongside its categorical variant and annotations. (This replaces the removed `/mapped-variants` endpoint, which now returns `410 Gone`.) The same records are downloadable from individual score set pages in [VRS JSON format](data-standards.md#vrs-variant-representation). ## See also diff --git a/docs/includes/glossary.md b/docs/includes/glossary.md index ad7c576c..b56e8bd9 100644 --- a/docs/includes/glossary.md +++ b/docs/includes/glossary.md @@ -8,3 +8,5 @@ *[GRCh38]: Genome Reference Consortium Human Build 38 *[NMD]: Nonsense-Mediated Decay *[OddsPath]: Odds of Pathogenicity +*[annotated variant]: A MaveDB variant expressed across molecular levels (genomic, coding, protein) and enriched with external annotations such as ClinVar, gnomAD, and predicted consequences +*[annotated variants]: MaveDB variants expressed across molecular levels (genomic, coding, protein) and enriched with external annotations such as ClinVar, gnomAD, and predicted consequences diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml index 20119565..97c70d0a 100644 --- a/docs/mkdocs.yml +++ b/docs/mkdocs.yml @@ -85,6 +85,11 @@ nav: - Targets: submitting-data/targets.md - Upload Guide: submitting-data/upload-guide.md - Publishing: submitting-data/publishing.md + - Interpreting Annotated Variants: interpreting-annotated-variants.md + - Variant Mapping & Annotation: + - Overview: mapping/index.md + - Reverse Translation & Projection: mapping/reverse-translation.md + - Annotation: mapping/annotation.md - MaveMD: - mavemd/index.md - Variant Search: mavemd/variant-search.md diff --git a/package-lock.json b/package-lock.json index d9fed55b..20feeac7 100644 --- a/package-lock.json +++ b/package-lock.json @@ -45,6 +45,7 @@ "datatables.net-select": "1.4.0", "datatables.net-select-dt": "1.4.0", "dompurify": "^3.4.11", + "expiry-map": "^2.0.0", "fasta-js": "^1.0.1", "indefinite": "^2.4.3", "jquery": "^3.7.1", @@ -57,6 +58,8 @@ "lodash": "^4.18.1", "marked": "^11.1.0", "moment": "^2.29.4", + "p-limit": "^7.3.0", + "p-memoize": "^8.0.0", "papaparse": "^5.4.1", "pdbe-molstar": "^3.4.0", "pdfmake": "^0.2.8", @@ -103,6 +106,14 @@ "@rollup/rollup-linux-x64-gnu": "4.46.3" } }, + "node_modules/@aashutoshrathi/word-wrap": { + "version": "1.2.6", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=0.10.0" + } + }, "node_modules/@ampproject/remapping": { "version": "2.3.0", "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz", @@ -118,30 +129,24 @@ } }, "node_modules/@babel/helper-string-parser": { - 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protein: 'border-protein-border bg-protein-light text-protein' + protein: 'border-amino-acid-border bg-amino-acid-light text-amino-acid' } export default defineComponent({ diff --git a/src/components/common/MvScoreSetRow.vue b/src/components/common/MvScoreSetRow.vue index e29dde17..8e9cec09 100644 --- a/src/components/common/MvScoreSetRow.vue +++ b/src/components/common/MvScoreSetRow.vue @@ -140,7 +140,7 @@ export default defineComponent({ if (target.targetAccession) return 'Nucleotide' const type = target.targetSequence?.sequenceType if (type === 'dna') return 'Nucleotide' - if (type === 'protein') return 'Protein' + if (type === 'protein') return 'Amino acid' return null }, isMultiTarget(): boolean { diff --git a/src/components/common/MvTargetsAccordion.vue b/src/components/common/MvTargetsAccordion.vue index 79f69b5b..896e814b 100644 --- a/src/components/common/MvTargetsAccordion.vue +++ b/src/components/common/MvTargetsAccordion.vue @@ -1,5 +1,5 @@