P696: AI-supported identification of disease-gene relationship publications

Since the initial implementation of genome-wide diagnostic sequencing - including exome sequencing (ES) and genome sequencing (GS) - the pace of novel disease-gene relationship (GDR) discovery has been rapid and consistent. Every month, peer-reviewed scientific journal articles are published containing novel GDRs, but there is no systematic mechanism centralizing these findings. GDR databases currently available - including OMIM, ClinGen, theGenCC, PanelApp (UK and Australia), and DECiPHER - rely heavily on human curation of literature.

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Publication Details

Journal
Genetics in Medicine Open
Published
2025-01-01
DOI
https://doi.org/10.1016/j.gimo.2025.103065
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

P696: AI-supported identification of disease-gene relationship publications

Martin Reese, Samuel P. Strom
Genetics in Medicine Open
Biomedical Text Mining and Ontologies
article

P696: AI-supported identification of disease-gene relationship publications

Martin Reese, Samuel P. Strom
article en

Abstract

Since the initial implementation of genome-wide diagnostic sequencing - including exome sequencing (ES) and genome sequencing (GS) - the pace of novel disease-gene relationship (GDR) discovery has been rapid and consistent. Every month, peer-reviewed scientific journal articles are published containing novel GDRs, but there is no systematic mechanism centralizing these findings. GDR databases currently available - including OMIM, ClinGen, theGenCC, PanelApp (UK and Australia), and DECiPHER - rely heavily on human curation of literature.

Genetics in Medicine OpenVol. 3
Openalex Percentile: Top 96%
Biomedical Text Mining and Ontologies
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P696: AI-supported identification of disease-gene relationship publications — Martin Reese, Samuel P. Strom · Genetics in Medicine Open (2025) | TGRS Research Map | TGRS