Christopher M. Vockley

This study functionally characterizes 221,412 trait-associated variants using MPRA in 5 cell types, identifying 12,025 regulatory variants and revealing widespread epistasis and non-TF mechanisms.

The paper identifies methylation-dependent genetic effects on regulatory elements in diverse human genomes using a multiplexed mSTARR-seq assay, revealing 8,020 sites with genetic effects, 42.3% of which vary with methylation state.

This paper introduces a nonparametric model, DPGP, to cluster gene expression time series data and demonstrates its effectiveness using simulated and real datasets.

The paper develops mSTARR-seq to quantify DNA methylation effects on regulatory elements, identifies MD regulatory elements, and predicts methylation-gene expression correlations.

The paper uses Mendelian randomization to study lincRNA regulation of mRNA expression across four tissues, finding linc-eQTLs similar to protein-coding eQTLs and identifying lincRNAs associated with adipose-related traits.