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DOI 10.1016/j.jmb.2026.169768

Медицинская библиотека · Journal of molecular biology · 2026

Gene2Phenotype: A Database of Structured Human Monogenic Diseases and Pathomechanisms.

Hunt Sarah E, Lemos Diana, Pericherla Seeta Ramaraju, Austine-Orimoloye Olanrewaju, Cibrian Uhalte Elena, Yates T Michael, Ansari Morad, Thompson Louise, Foreman Julia, Simpson T Ian, Ware James S, Wright Caroline F, Freeberg Mallory A, Firth Helen V

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Аннотация

To facilitate both disease research and personalised medicine, there is an urgent need for accessible, structured data models describing the molecular basis of genetically determined disease. Gene2Phenotype is a database of expert-curated monogenic gene-disease associations, which was established in 2012 to enable efficient prioritisation of likely diagnostic genomic variants. Initially focused on developmental disorders, it has since been extended to support cardiac, eye, skeletal and skin disorders and germline cancer predisposition. We have redesigned and extended Gene2Phenotype, which now openly shares standardised, structured models of rare monogenic diseases, detailing genotype, molecular mechanism and associated phenotypes, curated from scientific literature. The updated platform, which includes a new API, enabling programmatic access, improves the findability, accessibility, interoperability and reusability of detailed rare monogenic disease association data. These data have the potential to accelerate disease research, clinical diagnosis, treatment selection and the development of novel therapies. Gene2Phenotype is available at https://www.ebi.ac.uk/gene2phenotype/.

Для цитирования: Hunt Sarah E, Lemos Diana, Pericherla Seeta Ramaraju, Austine-Orimoloye Olanrewaju, Cibrian Uhalte Elena, Yates T Michael, Ansari Morad, Thompson Louise, Foreman Julia, Simpson T Ian, Ware James S, Wright Caroline F, Freeberg Mallory A, Firth Helen V. Gene2Phenotype: A Database of Structured Human Monogenic Diseases and Pathomechanisms.. Journal of molecular biology. 2026. DOI: 10.1016/j.jmb.2026.169768.

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