Wesley L. Crouse

This study develops M-cTWAS to integrate multi-omics and multi-context QTL data with GWAS, improving the discovery of risk genes for complex traits.

This paper introduces a method to adjust for genetic confounders in transcriptome-wide association studies, improving reliability in detecting causal genes.

The paper introduces a Bayesian model selection approach for mediation analysis and demonstrates its effectiveness using genetic data from mice and human cell lines.

The paper identifies 554 consensus genes in outbred rats and humans associated with body weight and BMI, revealing shared genetic regulatory mechanisms relevant for obesity.

The paper identifies cell-type-specific causal gene regulatory networks in human neurogenesis by analyzing mediation between chromatin accessibility and gene expression.

This study introduces a Bayesian framework to infer allelic series in multiparental populations, distinguishing biallelic from multiallelic QTL and improving haplotype effect estimation.

The paper evaluates QTL mapping power in the Collaborative Cross using real genomes and simulations, providing guidelines for experimental design.