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Article Dans Une Revue Studies in Health Technology and Informatics Année : 2022

A Multi-Omics Common Data Model for Primary Immunodeficiencies.

Résumé

Primary Immunodeficiencies (PIDs) are associated with more than 400 rare monogenic diseases affecting various biological functions (e.g., development, regulation of the immune response) with a heterogeneous clinical expression (from no symptom to severe manifestations). To better understand PIDs, the ATRACTion project aims to perform a multi-omics analysis of PIDs cases versus a control group patients, including single-cell transcriptomics, epigenetics, proteomics, metabolomics, metagenomics and lipidomics. In this study, our goal is to develop a common data model integrating clinical and omics data, which can be used to obtain standardized information necessary for characterization of PIDs patients and for further systematic analysis. For that purpose, we extend the OMOP Common Data Model (CDM) and propose a multi-omics ATRACTion OMOP-CDM to integrate multi-omics data. This model, available for the community, is customizable for other types of rare diseases (https://framagit.org/imagine-plateforme-bdd/pub-rhu4-atraction).
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Dates et versions

hal-04032071 , version 1 (05-12-2023)

Identifiants

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Mélanie Buy, William Digan, Xiaoyi Chen, Julien Husson, Mickael Ménager, et al.. A Multi-Omics Common Data Model for Primary Immunodeficiencies.. Studies in Health Technology and Informatics, 2022, Studies in Health Technology and Informatics, 290, pp.56-60. ⟨10.3233/SHTI220031⟩. ⟨hal-04032071⟩
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