General Information

OLIDA was developed by the Interuniversity Institute of Bioinformatics in Brussels (IB)²

OLIDA completely overhauled DIDA, a novel database that provided for the first time detailed information on genes and associated genetic variants involved in digenic diseases, the simplest form of oligogenic inheritance, with the aim of increasing the data quality, content and accessibility. OLIDA was designed to allow storage of information on any type of oligogenic diseases in addition to the digenic diseases present in DIDA.

While DIDA will be kept online for historical purposes, it will be deprecated in the future. OLIDA should be used instead as it contains more data and comes with more advanced features.

OLIDA is still under active development at (IB)2 with new features planned for the future. Occasional down time is possible when the site gets updated.

Contact

If you have any questions about OLIDA that are not answered in the documentation, feel free to contact us at olida@ibsquare.be. We will try to get back at you as soon as possible.

OLIDA – publications and citations

OLIDA

When using data from OLIDA please cite:

  • Nachtegael C. and Gravel B., Dillen A., Smits G., Nowé A., Papadimitriou S., Lenaerts T. Scaling up oligogenic diseases research with OLIDA: the Oligogenic Diseases Database. Database, April 2022. DOI: https://doi.org/10.1093/database/baac023
    Citation files: BibTex, RIS

Predictors trained using our data

The data from digenic diseases of DIDA was used in our research group and around the world to train machine learning predictors aiming to predict and understand the cause of digenic diseases. They can be found on the about page of the website of DIDA at http://dida.ibsquare.be/about/.

ORVAL

ORVAL is a sister platform to OLIDA that incorporates the VarCoPP predictor, the digenic effect predictor and other analytical tools, to explore oligogenic variant combinations and predicted pathogenic gene networks in an individual. It is available at orval.ibsquare.be.

Citing ORVAL:

  • Renaux A., Papadimitriou S., Versbraegen N., Nachtegael C., Boutry S., Nowé A., Smits G., Lenaerts T. ORVAL: A novel platform for the prediction and exploration of disease-causing oligogenic variant combinations. Nucleic Acids Research, May 2019. DOI: https://doi.org/10.1093/nar/gkz437
    Citation files: BibTex, RIS

Data Privacy

We hereby declare that:

  1. We use Google Analytics to track general visitor traffic information. We do not take any responsibility for the data stored by this third party application.
  2. The personally identifiable data of the users collected through this website, is only accessible for selected researchers of Vrije Universiteit Brussel (VUB) and Université Libre de Bruxelles (ULB) who manage the OLIDA web service. The data will not be shared with any person. Users can request a full purge of their personal data at any time by removing their account and selecting the purge option.
  3. ULB and VUB have data protection officers who are responsible for matters related to privacy and data protection. To reach the DPOs of the universities you can send an email to:
    ULB DPO: rgpd@ulb.ac.be (Université Libre de Bruxelles, Data protection officer, Avenue Franklin Roosevelt 50, CP 130, 1050 Brussels).
    VUB DPO: dpo@vub.be (Vrije Universiteit Brussel, Data Protection Officer, Pleinlaan 2, 1050 Brussels).

Subject's right with regard to personal data:

On May 25th 2018, the "General Data Protection Regulation" takes effect. The GDPR is a European regulation which grants individuals rights with respect to the way their personal data is handled and protected. Individuals may, for example - depending on the legal basis for the processing of their personal data and dependent on the fulfillment of certain conditions - exercise a right to:

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The competent national authority concerning privacy and data protection is the Data Protection Authority (or GBA: "Gegevensbeschermingsauthoriteit", https://www.dataprotectionauthority.be/). This is the authority that monitors privacy law compliance and where any individual can file a complaint regarding privacy and the processing of personal data.

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This work was supported by

The European Regional Development Fund (ERDF) and the Brussels-Capital Region-Innoviris within the framework of the Operational Programme 2014–2020 through the ERDF-2020 project ICITY-RDI.BRU (27.002.53.01.4524),

Fonds de la Recherche Scientifique (F.R.S-F.N.R.S) through a FRIA grant (40008622), a postdoctoral fellowship (40005602) and a research project (35276964),

The Service Public de Wallonie Recherche by DIGITALWALLONIA4.AI through the ARIAC project (2010235),

Innoviris Joint R&D project Genome4Brussels project (2020 RDIR 55b),

The Research Foundation – Flanders (F.W.O) infrastructure project associated with ELIXIR Belgium (I0022819N).

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