ROBERT M. SLADEK

This study benchmarks four Bayesian colocalization methods to validate MR-identified protein-trait associations for cardiometabolic traits, finding SharePro most frequently supports significant associations.

This paper introduces RECON grooves, an electrokinetic platform for controlled capture, retention, and release of nanoscale vesicles with optical trajectory analysis.

The paper identifies cell surface molecules that distinguish Drosophila sensory neurons and shows how their expression patterns influence synaptic connectivity.

SpaTM is a topic modeling framework for spatial transcriptomics data that supports both annotation-guided and annotation-free analysis, showing competitiveness in spatial label prediction and clustering.

This paper improves power to detect gene-environment interactions by adapting SharePro to account for genetic effect heterogeneity in fine-mapping.

RSparsePro improves fine-mapping accuracy in the presence of LD mismatch by using a probabilistic graphical model and variational inference, outperforming SuSiE in simulations and real applications.

SharePro improves genetic colocalization analysis by handling multiple causal signals, showing increased power and efficiency in simulations and real data.

This paper conducts a multi-ancestry time-to-event GWAS to identify genetic variants associated with incident cardiovascular disease in people with type 2 diabetes, finding three novel loci and confirming known CAD variants.

The paper performs whole genome sequence association analysis of fasting glucose and insulin levels in diverse cohorts, identifying 22 significant variants across 16 gene regions, including rare variants.

The paper evaluates penetrance and variable expressivity of monogenic metabolic conditions using exome data from 77,184 individuals, finding that monogenic variants have larger effect sizes than polygenic scores but low penetrance.

The paper identifies LOC157273 as a negative regulator of PPP1R3B and glycogen deposition in human hepatocytes, linking it to type 2 diabetes risk.