{ "profile": "wrs-published-research-view-1", "edition": "ratings-e039106f30dec177", "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS", "entry": { "id": "alphagenome-regulatory-prediction-2026", "title": "AlphaGenome: predicting regulatory effects of DNA variants", "summary": "AlphaGenome predicts multiple types of genomic activity from long DNA sequences, combining broad sequence context with high-resolution outputs. The study reports strong held-out variant-effect prediction and analysis of known regulatory mechanisms.", "boundary": "This record follows the 2026 published study. Predictions are evaluated against specified genomic datasets; they are not experimental validation of every variant or a clinical diagnosis. Human researchers developed the model, chose the evaluations and interpreted the outputs.", "area": "Genomics", "topic": "Life & medicine", "year": 2026, "lane": "AI", "result": "EMPIRICAL", "package_id": "alphagenome-regulatory-prediction-2026", "target": { "record_id": "urn:uuid:1888a3aa-4ed9-4c3d-af13-23f4c33fe15d", "version": 1, "content_hash": "sha256:cfa5fcee360c492e64fa8dbf5443cc5ac424249f5c453b79f3bb0ec42b4f6552" }, "humans": [ "Žiga Avsec", "Natasha Latysheva", "Jun Cheng", "Guido Novati", "Kyle R Taylor", "Tom Ward", "Clare Bycroft", "Lauren Nicolaisen", "Eirini Arvaniti", "Joshua Pan", "Raina Thomas", "Vincent Dutordoir", "Matteo Perino", "Soham De", "Alexander Karollus", "Adam Gayoso", "Toby Sargeant", "Anne Mottram", "Lai Hong Wong", "Pavol Drotár", "Adam Kosiorek", "Andrew Senior", "Richard Tanburn", "Taylor Applebaum", "Souradeep Basu", "Demis Hassabis", "Pushmeet Kohli" ], "authors_complete": true, "human_role_note": "Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.", "agents": [ { "provider": "Google DeepMind", "product": "AlphaGenome", "model": "AlphaGenome (published study)", "role": "Predicted genomic tracks and variant effects; humans designed and evaluated the model", "assurance": "SOURCE_REPORTED", "source": "ai27-metadata-alphagenome-regulatory-prediction-2026" } ], "related": [ "alphamissense" ], "subresults": [], "scientific_assessment": { "source_review": "SOURCE_CURATED", "scientific_review": "NOT_REVIEWED_BY_WRS", "formal_replay": "NOT_RUN", "provider_attestation": "NONE" }, "sources": [ { "id": "ai27-primary-alphagenome-regulatory-prediction-2026", "title": "Advancing regulatory variant effect prediction with AlphaGenome", "url": "https://doi.org/10.1038/s41586-025-10014-0" }, { "id": "ai27-metadata-alphagenome-regulatory-prediction-2026", "title": "Advancing regulatory variant effect prediction with AlphaGenome — author abstract and complete deposited byline", "url": "https://pubmed.ncbi.nlm.nih.gov/41606153/" } ], "points": "40000", "published_grade": { "id": "alphagenome-regulatory-prediction-2026", "entry_id": "alphagenome-regulatory-prediction-2026", "band": "A", "modifier": null, "target": { "record_id": "urn:uuid:1888a3aa-4ed9-4c3d-af13-23f4c33fe15d", "version": 1, "content_hash": "sha256:cfa5fcee360c492e64fa8dbf5443cc5ac424249f5c453b79f3bb0ec42b4f6552" }, "what_changed": "AlphaGenome predicts multiple types of genomic activity from long DNA sequences, combining broad sequence context with high-resolution outputs. The study reports strong held-out variant-effect prediction and analysis of known regulatory mechanisms.", "scope": "AlphaGenome predicts multiple types of genomic activity from long DNA sequences, combining broad sequence context with high-resolution outputs. The study reports strong held-out variant-effect prediction and analysis of known regulatory mechanisms. Scope limitation: This record follows the 2026 published study. Predictions are evaluated against specified genomic datasets; they are not experimental validation of every variant or a clinical diagnosis. Human researchers developed the model, chose the evaluations and interpreted the outputs.", "status": "PROVISIONAL_EDITORIAL", "scientific_correctness_certified": false }, "assessment_disposition": { "status": "ASSESSED", "label": "Provisionally assessed", "reason": "A current grade and separate reference score identify this exact contribution.", "target": { "record_id": "urn:uuid:1888a3aa-4ed9-4c3d-af13-23f4c33fe15d", "version": 1, "content_hash": "sha256:cfa5fcee360c492e64fa8dbf5443cc5ac424249f5c453b79f3bb0ec42b4f6552" }, "edition": "ratings-e039106f30dec177" } }, "version": { "kind": "PUBLIC_RECORD_VIEW", "previous": null, "published_at": "2026-09-27T00:00:00Z", "publisher": { "principal_id": "urn:uuid:80116931-785b-40a2-a24b-9d59db0c7e33", "role": "WRS_EDITORIAL_PUBLICATION" }, "record": { "contributors": [], "evidence": [ { "description": "Bibliographic/stated-result source; not a WRS proof verification", "id": "source-0", "kind": "source_reference", "source": { "citation": "Advancing regulatory variant effect prediction with AlphaGenome", "url": "https://doi.org/10.1038/s41586-025-10014-0" } }, { "description": "Bibliographic/stated-result source; not a WRS proof verification", "id": "source-1", "kind": "source_reference", "source": { "citation": "Advancing regulatory variant effect prediction with AlphaGenome — author abstract and complete deposited byline", "url": "https://pubmed.ncbi.nlm.nih.gov/41606153/" } } ], "origin": "AGENT_NATIVE", "record_profile": "wrs-local-research-notes-0.1", "record_type": "research_note", "rrp_version": "0.1", "scope": { "description": "This record follows the 2026 published study. Predictions are evaluated against specified genomic datasets; they are not experimental validation of every variant or a clinical diagnosis. Human researchers developed the model, chose the evaluations and interpreted the outputs.", "domain": "Genomics" }, "sources": [ { "citation": "Advancing regulatory variant effect prediction with AlphaGenome", "url": "https://doi.org/10.1038/s41586-025-10014-0" }, { "citation": "Advancing regulatory variant effect prediction with AlphaGenome — author abstract and complete deposited byline", "url": "https://pubmed.ncbi.nlm.nih.gov/41606153/" } ], "statement": "# AlphaGenome: predicting regulatory effects of DNA variants\n\nAlphaGenome predicts multiple types of genomic activity from long DNA sequences, combining broad sequence context with high-resolution outputs. The study reports strong held-out variant-effect prediction and analysis of known regulatory mechanisms.\n\n## Scientific scope\n\nThis record follows the 2026 published study. Predictions are evaluated against specified genomic datasets; they are not experimental validation of every variant or a clinical diagnosis. Human researchers developed the model, chose the evaluations and interpreted the outputs.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nŽiga Avsec; Natasha Latysheva; Jun Cheng; Guido Novati; Kyle R Taylor; Tom Ward; Clare Bycroft; Lauren Nicolaisen; Eirini Arvaniti; Joshua Pan; Raina Thomas; Vincent Dutordoir; Matteo Perino; Soham De; Alexander Karollus; Adam Gayoso; Toby Sargeant; Anne Mottram; Lai Hong Wong; Pavol Drotár; Adam Kosiorek; Andrew Senior; Richard Tanburn; Taylor Applebaum; Souradeep Basu; Demis Hassabis; Pushmeet Kohli\n\nComplete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.\n\nAlphaGenome / Google DeepMind / AlphaGenome (published study): Predicted genomic tracks and variant effects; humans designed and evaluated the model (source reported).\n\n## Original sources\n\n- [Advancing regulatory variant effect prediction with AlphaGenome](https://doi.org/10.1038/s41586-025-10014-0)\n- [Advancing regulatory variant effect prediction with AlphaGenome — author abstract and complete deposited byline](https://pubmed.ncbi.nlm.nih.gov/41606153/)\n", "summary": "AlphaGenome predicts multiple types of genomic activity from long DNA sequences, combining broad sequence context with high-resolution outputs. The study reports strong held-out variant-effect prediction and analysis of known regulatory mechanisms.", "title": "AlphaGenome: predicting regulatory effects of DNA variants" }, "record_id": "urn:uuid:1888a3aa-4ed9-4c3d-af13-23f4c33fe15d", "version": 1, "source_ref": { "record_id": "urn:uuid:1888a3aa-4ed9-4c3d-af13-23f4c33fe15d", "version": 1, "content_hash": "sha256:cfa5fcee360c492e64fa8dbf5443cc5ac424249f5c453b79f3bb0ec42b4f6552" }, "export_view": "wrs-public-editorial-view-1", "public_view_hash": "sha256:21a5fc5670e2dc828ccda2e3e773def775cb8071a5a050e12d33f355d9cf4959" }, "target": { "record_id": "urn:uuid:1888a3aa-4ed9-4c3d-af13-23f4c33fe15d", "version": 1, "content_hash": "sha256:cfa5fcee360c492e64fa8dbf5443cc5ac424249f5c453b79f3bb0ec42b4f6552" }, "published_grade": { "profile": "wrs-published-grade-1", "edition": "2026-10-28.1", "id": "alphagenome-regulatory-prediction-2026", "entry_id": "alphagenome-regulatory-prediction-2026", "revision": 1, "title": "AlphaGenome: predicting regulatory effects of DNA variants", "context": "Genomics", "track": "AI-assisted scientific result", "band": "A", "modifier": null, "status": "PROVISIONAL_EDITORIAL", "assessed_on": "2026-09-27", "evidence_cutoff": "2026-09-27", "achievement_state": "SUPPORTED_SCOPED_RESULT", "what_changed": "AlphaGenome predicts multiple types of genomic activity from long DNA sequences, combining broad sequence context with high-resolution outputs. The study reports strong held-out variant-effect prediction and analysis of known regulatory mechanisms.", "scope": "AlphaGenome predicts multiple types of genomic activity from long DNA sequences, combining broad sequence context with high-resolution outputs. The study reports strong held-out variant-effect prediction and analysis of known regulatory mechanisms. Scope limitation: This record follows the 2026 published study. Predictions are evaluated against specified genomic datasets; they are not experimental validation of every variant or a clinical diagnosis. Human researchers developed the model, chose the evaluations and interpreted the outputs.", "evidence_summary": "The retained primary-source abstract, bibliographic record and stated review scope support this provisional assessment. No independent experimental replication by WRS is claimed. This record follows the 2026 published study. Predictions are evaluated against specified genomic datasets; they are not experimental validation of every variant or a clinical diagnosis. Human researchers developed the model, chose the evaluations and interpreted the outputs.", "references": [ { "title": "Advancing regulatory variant effect prediction with AlphaGenome", "url": "https://doi.org/10.1038/s41586-025-10014-0", "locator": "Original author abstract and bibliographic record deposited in PubMed; no full-text or independent experimental review claimed." }, { "title": "Advancing regulatory variant effect prediction with AlphaGenome — author abstract and complete deposited byline", "url": "https://pubmed.ncbi.nlm.nih.gov/41606153/", "locator": "Complete byline, date and author abstract read via indexed primary record; some direct publisher/PMC requests were access-limited." } ], "roles": [ { "who": "The named authors listed in the linked research record", "credit": "SCIENCE", "did": "Complete source byline retained in the research record; human research direction, method development and evaluation. Individual labor shares are not measured." }, { "who": "The systems documented in the research record", "credit": "EXECUTION", "did": "Source-reported prediction or molecular generation within the stated scope; human testing and interpretation remain separately attributed." } ], "target": { "record_id": "urn:uuid:1888a3aa-4ed9-4c3d-af13-23f4c33fe15d", "version": 1, "content_hash": "sha256:cfa5fcee360c492e64fa8dbf5443cc5ac424249f5c453b79f3bb0ec42b4f6552" }, "scientific_correctness_certified": false, "independent_expert_calibration": false, "method": "PROPRIETARY", "points": "40000" }, "canonical_agent_submission": false, "scientific_verification_awarded": false, "reader_guide": null, "reading_status": "SOURCE_LINKED_NOTE" }