Kevin Y. H. Liang

This study identifies OA-specific genetic effects and novel therapeutic targets by separating OA genetics from those shared with obesity using GWAS and proteomics data.

The paper introduces a customizable pipeline for exome-wide rare variant gene-trait associations, demonstrating its utility by replicating three studies and providing a standardized framework for similar analyses.

The paper tests using protein network partners to identify drug targets, finding that while sensitivity improves, precision is low, limiting practical application.

This study uses proteome-phenome-wide Mendelian randomization across three ancestries to identify protein-phenotype associations and potential therapeutic targets.

This study evaluates AlphaMissense's impact on gene-based testing for disease causation using UK Biobank exome data, finding no significant improvement in identifying disease-causing genes.

The paper identifies nephronectin as a mediator of obesity's effect on COVID-19 severity using proteome-wide Mendelian randomization and validates its expression in lung cells.

This study uses whole-exome sequencing to directly call HLA alleles in the UK Biobank, identifying 129 novel associations between HLA alleles and 11 autoimmune diseases.