OLIDA: OLIgogenic diseases DAtabase
OLIDA curates and annotates oligogenic variant combinations linked to human diseases to support analysis of oligogenic inheritance and disease mechanisms.
Key Features:
- Comprehensive Data Collection: Contains 916 unique oligogenic variant combinations associated with 159 distinct diseases compiled from curated peer-reviewed literature and public databases.
- Rigorous Curation Protocol: Applies a transparent, systematic curation protocol to extract and standardize genetic and functional evidence from the scientific literature and public resources.
- Confidence Scoring Mechanism: Assigns a confidence score to each oligogenic variant combination reflecting the level of genetic and functional evidence supporting disease causation.
- FAIR Principles Compliance: Employs unique identifiers and links to existing ontologies to promote interoperability and reusability of the data.
Scientific Applications:
- Oligogenic disease research: Enables investigation of the oligogenic nature of diseases by providing curated combinations of variants and associated evidence.
- Computational method development: Serves as a reference dataset for developing and benchmarking algorithms that study genetic interactions and oligogenic inheritance.
- Disease mechanism elucidation: Supports identification of variant combinations that inform hypotheses about molecular and genetic mechanisms underlying disease.
- Therapeutic target and biomarker discovery: Assists in nominating candidate targets and biomarkers by linking variant combinations to specific disease contexts.
- Clinical genomics and personalized medicine: Informs interpretation of multi-variant genotypes in clinical and translational studies toward personalized interventions.
Methodology:
Data are extracted from peer-reviewed scientific literature and integrated with public database records, and each oligogenic combination is assigned a confidence score based on available genetic and functional evidence.
Topics
Collections
Details
- License:
- CC-BY-NC-4.0
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 7/26/2022
- Last Updated:
- 7/18/2023
Operations
Publications
Nachtegael C, Gravel B, Dillen A, Smits G, Nowé A, Papadimitriou S, Lenaerts T. Scaling up oligogenic diseases research with OLIDA: the Oligogenic Diseases Database. Database. 2022;2022. doi:10.1093/database/baac023. PMID:35411390. PMCID:PMC9216476.
PMID: 35411390
PMCID: PMC9216476
Funding: - European Regional Development Fund: ICITY-RDI.BRU project [27.002.53.01.4524]
- Fonds Wetenschappelijk Onderzoek: Infrastructure project [I002819N]
- Fonds De La Recherche Scientifique - FNRS: Postdoctoral Researcher Fellowship [40005602], Projet de Recherche [35276964]
- Innoviris: Genome4Brussels [2020 RDIR 55b]
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture: 40008622
- Service Public de Wallonie Recherche: 2010235 - ARIAC
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