Sandesh Chopade

This paper identifies and prioritizes drug targets for major depressive disorder using genetic methods, finding that 82% of approved depression/anxiety drugs have significant genetic targets.

This study uses Mendelian randomization to investigate the causal role of lipids and statin interventions on multiple sclerosis risk and severity, finding HDL-C increases risk while RAC2 reduces it.

The paper uses Mendelian randomization and clinical/biological evidence to prioritize lipid-modifying drug targets for coronary heart disease prevention.

This paper introduces a mathematical framework to improve Mendelian randomization analysis for drug targets by addressing horizontal pleiotropy when proteins are the risk factors.

The paper discusses how integrating druggable target genes with disease susceptibility genes can improve drug development success rates by reducing target specification errors.