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An ontological analysis of a dataset of curated dermatological gene–disease associations (G2P-Skin)

Title: An ontological analysis of a dataset of curated dermatological gene–disease associations (G2P-Skin)
Authors: Agathangelidi TA; Carson L; Doolan BJ; Dubois A; Martin RJ; Inns J; Onoufriadis A; Rajan N
Source: British Journal of Dermatology, 1 March 2026
Publisher Information: Oxford University Press
Publication Year: 2026
Collection: Newcastle University Library ePrints Service
Description: © The Author(s) 2025. Published by Oxford University Press on behalf of British Association of Dermatologists.More than 607 genodermatoses have been associated with pathogenic variants in 477 genes, which are captured in the updated Genotype 2 Phenotype (G2P) Skin dataset. Here we report: (i) the utility of this clinically curated database for the annotation of genetic variants reported from whole-exome and genome sequencing data of patients with a skin phenotype; and (ii) the ontological analysis of this set of ‘skin genes’. Gene ontology analysis of G2P-Skin enhances the value of the prior discovery of the genetic basis of individual rare skin diseases, highlighting potential common pathways that underlie groups of rare skin diseases, and has the potential to reconceptualize the way some long-standing genodermatoses are categorized.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: unknown
Relation: https://eprints.ncl.ac.uk/310734; https://eprints.ncl.ac.uk/fulltext.aspx?url=310734/311E9339-D146-4CDD-B001-85D56258983E.pdf&pub_id=310734
Availability: https://eprints.ncl.ac.uk/310734
Rights: https://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.8649952F
Database: BASE