MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays
Open accessAbstract
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.
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MaveDB follows strict data and documentation standards, mandating HGVS nomenclature for variant representation, embodying FAIR principles for data sharing, and complying with GA4GH frameworks.
“This follows strict data and documentation standards, mandating HGVS nomenclature for variant representation and embodying FAIR (findable, accessible, interoperable, and reusable) principles for data sharing, and compliance with GA4GH (Global Alliance for Genomics and Health) frameworks.”
From Massively parallel functional genomic assays in endocrinology: from promise to delivery (2026) · cites this paper as [41]
The Background (page unavailable) says MaveDB emphasizes HGVS compliance and is improving compatibility with the GA4GH Variant Representation Specification; Construction and content (page unavailable) describes validation using MAVE-HGVS. The paper supports standardized, discoverable data sharing, but does not establish a mandate to use HGVS nomenclature, explicit adoption of FAIR principles, or compliance with GA4GH frameworks. (LLM, conf=0.88)
Experimental — accuracy not yet measuredMaveDB includes application programming interfaces and visualisation tools that simplify data analysis, making it a valuable resource for the genomics community.
“The inclusion of application programming interfaces and visualisation tools further simplifies data analysis, making MaveDB a valuable resource for the genomics community (41).”
From Massively parallel functional genomic assays in endocrinology: from promise to delivery (2026) · cites this paper as [41]
The creation of the publicly accessible MaveDB database is a key step taken by the community towards meeting needs for cross-study standardisation and a data repository.
“A key step taken by the community towards meeting the needs for cross-study standardisation and a data repository has been the creation of the publicly accessible MaveDB database (41).”
From Massively parallel functional genomic assays in endocrinology: from promise to delivery (2026) · cites this paper as [41]
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Cited by
Sorted by citations
Massively parallel functional genomic assays in endocrinology: from promise to delivery
Xu, J., Aslanzadeh, V., Kudla, G., & Semple, R. K. (2026) · Journal of Molecular Endocrinology · doi:10.1530/jme-25-0134
- Authors
- Rubin, A. F., Stone, J., Bianchi, A. H., Capodanno, B. J., Da, E. Y., Dias, M., Esposito, D., Frazer, J., Fu, Y., Grindstaff, S. B., Harrington, M. R., Li, I., McEwen, A. E., Min, J. K., Moore, N., Moscatelli, O. G., Ong, J., Polunina, P. V., Rollins, J. E., Rollins, N. J., Snyder, A. E., Tam, A., Wakefield, M. J., Ye, S. S., Starita, L. M., Bryant, V. L., Marks, D. S., & Fowler, D. M.
- Affiliations
- The University of Melbourne (AU)
- Brotman Baty Institute (US)
- University of Washington (US)
- Walter and Eliza Hall Institute of Medical Research (AU)
- Universitat Pompeu Fabra (ES)
- University of Freiburg (DE)
- The Graduate Center, CUNY (US)
- Harvard University (US)
- The Royal Melbourne Hospital (AU)
- Broad Institute (US)
- Corresponding author
- Rubin, Alan F.
- Marks, Debora S.
- Fowler, Douglas M.
- ORCID
- Rubin, Alan F.
- Stone, Jeremy
- Bianchi, Aisha Haley
- Capodanno, Benjamin J.
- Da, Estelle Y.
- Dias, Mafalda
- Esposito, Daniel
- Frazer, Jonathan
- Fu, Yunfan
- Grindstaff, Sally B.
- McEwen, Abbye E.
- Min, Joseph K.
- Moore, Nick
- Moscatelli, Olivia G.
- Polunina, Polina V.
- Rollins, Joshua E.
- Rollins, Nathan J.
- Tam, Amy
- Wakefield, Matthew J.
- Starita, Lea M.
- Bryant, Vanessa L.
- Marks, Debora S.
- Fowler, Douglas M.
- Venue
- Genome Biology
- Published
- 2025-01-21
- Volume
- 26
- Issue
- 1
- Pages
- 13-13
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- PMC
- PMC11753097
- OpenAlex
- W4406674953
- Cited by
- 80
- References
- 4
- Citations by year
- 2026: 50 · 2025: 30
- FWCI
- 41.58
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Genome biology (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- Funders
- Alex's Lemonade Stand Foundation for Childhood Cancer
- Ministerio de Ciencia e Innovación (PID2022-140793NA-I00, PID2022)
- National Institutes of Health
- National Human Genome Research Institute (RM1HG010461, UM1HG011969, R01HG013025)
- National Institute of General Medical Sciences (T32GM007454)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (DP2HD088158)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- MaveDB, MAVE, genetic variants, variant effect prediction, saturation genome editing, functional assays, data federation, data model
- MeSH terms
- Humans, Software, Genetic Variation, Databases, Genetic, Data Curation
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