Combining MAVEs and computational predictors improves variant classification across ancestries in hereditary cancer genes
- DOI
- 10.1186/s13073-026-01799-4
- Published
- 2026-10-18
- Container
- Genome Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s13073-026-01799-4,
title = {Combining MAVEs and computational predictors improves variant classification across ancestries in hereditary cancer genes},
author = {Nikita Bora and Mihaly Badonyi and Ankit K. Pathak and Rutharra Ghayadthri Manisekaran and Unknown and Joseph A. Marsh and Joanne Ngeow},
year = {2026},
journal = {Genome Medicine},
doi = {10.1186/s13073-026-01799-4},
url = {https://doi.org/10.1186/s13073-026-01799-4}
}RIS
TY - JOUR TI - Combining MAVEs and computational predictors improves variant classification across ancestries in hereditary cancer genes AU - Nikita Bora AU - Mihaly Badonyi AU - Ankit K. Pathak AU - Rutharra Ghayadthri Manisekaran AU - Unknown AU - Joseph A. Marsh AU - Joanne Ngeow PY - 2026 JO - Genome Medicine DO - 10.1186/s13073-026-01799-4 UR - https://doi.org/10.1186/s13073-026-01799-4 ER -
APA
Bora, N., Badonyi, M., Pathak, A. K., Manisekaran, R. G., Unknown, Marsh, J. A., & Ngeow, J. (2026). Combining MAVEs and computational predictors improves variant classification across ancestries in hereditary cancer genes. Genome Medicine. https://doi.org/10.1186/s13073-026-01799-4
Source records
- crossref · retrieved 2026-11-09T13:17:10.381Z