Dorothée Diogo

The paper performs whole exome sequencing on 44,028 British South Asians to identify gene-phenotype associations and knockout genes, finding novel links and implications for drug development.

The paper uses representation learning on plasma proteomic data to identify protein modules linked to disease and genetic variants, offering insights into biological processes and potential biomarkers.

This study identifies a novel genetic locus at 18q12.1 associated with postpartum depression using genome-wide association analysis in UK Biobank data.

The paper introduces a multivariate GWAS framework that identifies functional variants and disease associations by transforming multivariate results into univariate phenotypes for follow-up analysis.

The paper uses PheWAS across large cohorts to identify genetic associations with drug targets and predict drug safety and efficacy.