A Multi-Omics Common Data Model for Primary Immunodeficiencies

Stud Health Technol Inform. 2022 Jun 6:290:56-60. doi: 10.3233/SHTI220031.

Abstract

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).

Keywords: Cohort Studies; Databases; rare diseases.

MeSH terms

  • Humans
  • Metabolomics*
  • Proteomics*
  • Rare Diseases
  • Transcriptome