Usman A. Tahir

The paper identifies genetic drivers of protein change over time using longitudinal proteomics data from MESA, UK Biobank, and CARDIA, finding that baseline adjustment improves replication but may introduce biases.

This paper develops a machine learning framework to impute cross-platform proteomic data, improving replication of epidemiological findings and protein quality scoring.

This study identifies a PTER inhibitor that reduces food intake and body weight in mice, linking PTER function to obesity treatment.

The paper identifies plasma proteins associated with diffusion tensor imaging biomarkers of white matter injury and suggests potential causal relationships using Mendelian randomization.

The paper identifies plasma proteins associated with clonal hematopoiesis and links them to cardiovascular disease through proteomic and genetic analyses.

The paper introduces a parametric bootstrap method to compute confidence intervals for genetic correlations, applied to protein-protein networks from proteomics data.

The paper develops genetic scores for 17,227 molecular traits using multi-omic data from INTERVAL and validates them across ancestries, demonstrating their utility in pathway analysis and disease association discovery.