Florian Thibord

The paper identifies genetic loci and proteins associated with venous thromboembolism recurrence risk using GWAS and subgroup analyses across different thrombotic subtypes.

This study uses whole genome sequencing to identify 18 novel genetic loci associated with plasma fibrinogen levels, including variants more common in African populations and linked to liver-related traits and disease.

This study develops multi-ancestry polygenic risk scores for venous thromboembolism using diverse GWAS data and shows improved predictive performance across European- and African-ancestry populations.

This study identifies 135 genomic loci associated with venous thromboembolism risk through cross-ancestry GWAS and provides insights into biological pathways and potential therapeutic targets.

This study conducts a multi-ancestry GWAS for venous thromboembolism, identifies novel loci, and validates their function in zebrafish.

The paper analyzes 65 GWAS from the GRASP portal to identify genetic modifiers of SARS-CoV-2 infection and severity, finding new loci and tracking significance over time.

The paper introduces mirGFF3, a standardized format for miRNA/isomiR analysis, and mirtop, a tool to convert outputs into this format, enabling data sharing and comparative analysis.

OPTIMIR improves miRNA alignment accuracy by integrating genotype data and biological knowledge on miRNA editing in human plasma samples.