Translational ImmunoGenetic in AutoImmunity and Transplantation
Team 5

Our ATIP/Avenir team was created in September 2015. Our research interests focus on immunogenomics and precision medicine approaches for complex immune-related traits and diseases, including multiple sclerosis, infectious diseases, and transplantation.



By combining scientists from diverse fields of expertise (biology, bioinformatics, statistics, immunogenomics, epidemiology), our team’s main objective is to tackle complex immune-related diseases and traits by integrating multiple large datasets (genomics, biological, and clinical) into precision medicine applications. Our research projects are divided into two major axes:

  1. Immunogenomics and epidemiology
  2. Precision medicine applications

(1) Immunogenomics and epidemiology

Our team benefits from a recognized expertise in HLA analysis and computational methods to investigate the determinants of autoimmune disorders. Our research projects are promoted by a strong network of collaborations with established national and international cohorts (e.g. EFS, NMDP, CAAPA). In addition, we also benefit from a close collaboration with the CIC epidemiology team. Finally, we contribute to data sharing within the scientific community by facilitating access to immunogenomics and genomics datasets.

  • Immunogenomics of asthma in African ancestry individuals (the CAAPA project, Dr Barnes, John Hopkins University and University of Colorado, USA)
  • Immunogenomics of the JC virus comorbidity in multiple sclerosis patients treated by Natalizumab® (collaboration with Pr Brassat, Toulouse, France)
  • Characterization of HLA haplotypes association with multiple sclerosis (collaboration with Dr Goodin, UCSF, USA)
  • Evolutional and populational approaches of the SIRP gene family (collaboration with OSEImmunotherapeutics, France)
  • The SNP-HLA consortium, to develop a large worldwide reference panel combining SNP data and matching HLA alleles
  • Ferret, an application to facilitate access to the 1000 Genomes data (genomic and immunogenomic)

(2) Precision medicine applications

Following the lead from the MS Bioscreen application for precision medicine in multiple sclerosis management, we develop precision medicine applications to help predicting outcome progression, and guide patient’s treatment and follow-up.

  • EasyHLA, an HLA-dedicated platform gathering 3 tools to identify potential matching bone marrow donor (EasyMatch), to predict high resolution HLA alleles (HLA-upgrade), and to infer HLA haplotypes (HLA-2-haplo)
  • KiTapp, a precision medicine application for kidney transplantation
  • MYO, a connected bracelet to monitor muscle activity and quantify evolution of neurodegenerative pathologies
  • Precision medicine methodology, development of algorithms implementing advanced statistical methods (e.g. machine learning, etc.)