Solal Chauquet

This study identifies genetic regulators of transcriptomic rhythmicity using GTEx data and links them to phenotypes in the Pan-UK Biobank.

This paper benchmarks parameters for TWAS signature-matching to prioritize drug candidates using GWAS data and CMap, showing sensitivity to cell line choice and proposing a best-practice framework.

This paper introduces SBayesAPP, a Bayesian model that estimates annotation-stratified pleiotropy and co-polygenicity between complex traits using GWAS summary statistics, revealing cell-type-specific genetic correlations.

This paper uses Mendelian randomisation to examine the causal effect of antihypertensive drugs on psychiatric disorders, finding an increased schizophrenia risk with lower ACE gene expression.