Katherine Dura

The paper introduces a structured pooling method for population-scale STARR-seq experiments, improving detection of rare regulatory variants by increasing signal-to-noise ratio and providing Bayesian effect size estimates.

The paper introduces BlueSTARR, a predictive modeling framework trained on whole-genome STARR-seq data to assess variant effects on regulatory functions, revealing purifying selection against loss-of-function and gain-of-function variants.

The paper functionally measures allele-specific regulatory element activity across five human genomes to fine map causal variants in eQTLs and chromatin QTLs.

This paper introduces a consensus variant-to-function score to prioritize disease-causing variants, showing improved performance in heritability enrichment and fine-mapping.