Evidence map›Paper›PMID 39838450›Full record

ArticleGenome biology2025

MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays.

Alan F Rubin, Jeremy Stone, Aisha Haley Bianchi, Benjamin J Capodanno, Estelle Y Da, Mafalda Dias, Daniel Esposito, Jonathan Frazer, Yunfan Fu, Sally B Grindstaff and 18 more

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed.

  1. Review
  2. AlphaGenome Atlas:medRxiv : the preprint server for health sciences · 2026
    Article
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  10. Review
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  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Functional dissection ofProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  19. MAVISp: A modular structure-based framework for protein variant effects.Protein science : a publication of the Protein Society · 2026
    Article
  20. Review

6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Alan F RubinBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia. alan.rubin@wehi.edu.au.
Jeremy StoneBrotman Baty Institute for Precision Medicine, Seattle, USA.
Aisha Haley BianchiDepartment of Genome Sciences, University of Washington, Seattle, USA.
Benjamin J CapodannoBrotman Baty Institute for Precision Medicine, Seattle, USA.
Estelle Y DaBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Mafalda DiasCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Daniel EspositoBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Jonathan FrazerCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Yunfan FuBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Sally B GrindstaffBrotman Baty Institute for Precision Medicine, Seattle, USA.
Matthew R HarringtonDepartment of Genome Sciences, University of Washington, Seattle, USA.
Iris LiBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Abbye E McEwenBrotman Baty Institute for Precision Medicine, Seattle, USA.
Joseph K MinDepartment of Genome Sciences, University of Washington, Seattle, USA.
Nick MooreBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Olivia G MoscatelliDepartment of Medical Biology, University of Melbourne, Parkville, Australia.
Jesslyn OngImmunology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Polina V PoluninaBioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany.
Joshua E RollinsDepartment of Computer Science, The Graduate Center, The City University of New York, New York, USA.
Nathan J RollinsSeismic Therapeutics, Watertown, USA.
Ashley E SnyderBrotman Baty Institute for Precision Medicine, Seattle, USA.
Amy TamDepartment of Systems Biology, Harvard Medical School, Boston, USA.
Matthew J WakefieldBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Shenyi Sunny YeDepartment of Genome Sciences, University of Washington, Seattle, USA.
Lea M StaritaBrotman Baty Institute for Precision Medicine, Seattle, USA.
Vanessa L BryantDepartment of Medical Biology, University of Melbourne, Parkville, Australia.
Debora S MarksDepartment of Systems Biology, Harvard Medical School, Boston, USA. debbie@hms.harvard.edu.
Douglas M FowlerBrotman Baty Institute for Precision Medicine, Seattle, USA. dfowler@uw.edu.

Funding

Technology to understand genetic variant effects in contextRM1HG010461 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Bruce Colston Trapnell · 2019 to 2026
$18.9M
Advancing the implementation of variant-level functional data into clinical databases and clinical practiceR01HG013025 · NHGRI · UNIVERSITY OF WASHINGTON · PI Lea Starita, Andrew Ben Stergachis · 2023 to 2026
$3.1M
Charting the regulatory topography of the cell differentiation landscape with single-cell RNA-Seq.DP2HD088158 · NICHD · UNIVERSITY OF WASHINGTON · PI TRAPNELL, BRUCE COLSTON · 2015 to 2015
$2.3M
NHGRI NIH HHS R01 HG013025NHGRI NIH HHS RM1 HG010461NICHD NIH HHS DP2 HD088158
6 · The paper itself

Abstract

Multiplexed assays of variant effect (MAVEs) are a critical tool for researchers and clinicians to understand genetic variants. Here we describe the 2024 update to MaveDB ( https://www.mavedb.org/ ) with four key improvements to the MAVE community's database of record: more available data including over 7 million variant effect measurements, an improved data model supporting assays such as saturation genome editing, new built-in exploration and visualization tools, and powerful APIs for data federation and streamlined submission and access. Together these changes support MaveDB's role as a hub for the analysis and dissemination of MAVEs now and into the future.

Indexed as

Databases, GeneticGenetic VariationData CurationHumansSoftwareDeep mutational scanningDMSFunctional genomicsMAVEsMultiplexed assays of variant effectVariant classification

Identifiers

PMID39838450
PMCPMC11753097

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.