Scaling up oligogenic diseases research with OLIDA: the Oligogenic Diseases Database

Author:

Nachtegael Charlotte12ORCID,Gravel Barbara123ORCID,Dillen Arnau34ORCID,Smits Guillaume156ORCID,Nowé Ann13ORCID,Papadimitriou Sofia123ORCID,Lenaerts Tom123ORCID

Affiliation:

1. Interuniversity Institute of Bioinformatics in Brussels, Université Libre de Bruxelles-Vrije Universiteit Brussel, Boulevard du Triomphe, CP 263, Brussels 1050, Belgium

2. Machine Learning Group, Université Libre de Bruxelles, Boulevard du Triomphe, CP 212, Brussels 1050, Belgium

3. Artificial Intelligence Laboratory, Vrije Universiteit Brussel, Pleinlaan 2, Brussels 1050, Belgium

4. Human Physiology and Sports Physiotherapy research group, Vrije Universiteit Brussel, Pleinlaan 2, Brussels 1050, Belgium

5. Hôpital Universitaire des Enfants Reine Fabiola, Université Libre de Bruxelles, Avenue Jean Joseph Crocq 15, Brussels 1020, Belgium

6. Center of Human Genetics, Hôpital Erasme, Université Libre de Bruxelles, Route de Lennik 808, Brussels 1070, Belgium

Abstract

Abstract Improving the understanding of the oligogenic nature of diseases requires access to high-quality, well-curated Findable, Accessible, Interoperable, Reusable (FAIR) data. Although first steps were taken with the development of the Digenic Diseases Database, leading to novel computational advancements to assist the field, these were also linked with a number of limitations, for instance, the ad hoc curation protocol and the inclusion of only digenic cases. The OLIgogenic diseases DAtabase (OLIDA) presents a novel, transparent and rigorous curation protocol, introducing a confidence scoring mechanism for the published oligogenic literature. The application of this protocol on the oligogenic literature generated a new repository containing 916 oligogenic variant combinations linked to 159 distinct diseases. Information extracted from the scientific literature is supplemented with current knowledge support obtained from public databases. Each entry is an oligogenic combination linked to a disease, labelled with a confidence score based on the level of genetic and functional evidence that supports its involvement in this disease. These scores allow users to assess the relevance and proof of pathogenicity of each oligogenic combination in the database, constituting markers for reporting improvements on disease-causing oligogenic variant combinations. OLIDA follows the FAIR principles, providing detailed documentation, easy data access through its application programming interface and website, use of unique identifiers and links to existing ontologies. Database URL https://olida.ibsquare.be

Funder

European Regional Development Fund

Fonds Wetenschappelijk Onderzoek

Fonds De La Recherche Scientifique - FNRS

Innoviris

Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture

Service Public de Wallonie Recherche

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

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