Pierre‐Antoine Gourraud

The paper analyzes the genetic architecture of MS patients in the OFSEP-HD cohort, identifies ancestral clusters, and presents a synthetic dataset for data sharing.

The paper evaluates HLA imputation accuracy in admixed populations using dimension reduction, finding that custom reference panels outperform standard ones for specific genetic models.

This paper introduces DrBERT, a French biomedical pre-trained language model trained on both public and private medical data, showing improved performance through further pre-training on targeted data.

This paper uses statistical models to estimate genetic and environmental susceptibility limits to multiple sclerosis, finding that genetic susceptibility is limited to 52% of the population and 30% of women.

The paper analyzes genetic susceptibility to multiple sclerosis (MS) using epidemiological data, showing that only a small subset of the population is genetically susceptible, and that environmental factors and stochastic elements also play critical roles.

The paper identifies low-frequency coding variants contributing to multiple sclerosis risk using a large case-control study.

The paper designs a genotyping array (ADPC) for African-specific genetic variation using whole genome sequences from the CAAPA consortium, improving GWAS for African ancestry populations.

This study identifies novel asthma susceptibility loci in individuals of African ancestry through genome-wide association analysis and admixture mapping.