Shelley B. Bull

Dimension Reduction using Local Principal Components for Regression-based Multi-SNP Analysis in 1000 Genomes and the Canadian Longitudinal Study on Aging (CLSA)

The paper introduces DRLPC to reduce multi-collinearity in SNP data, improving regression analysis power in two datasets.

RegionScan: A comprehensive R package for region-level genome-wide association testing with integration and visualization of multiple-variant and single-variant hypothesis testing

RegionScan provides an R package for region-level genome-wide association testing and visualization, supporting multiple-variant and single-variant hypothesis testing with LD-adaptive region definition.

Characterization of direct and/or indirect genetic associations for multiple traits in longitudinal studies of disease progression

This paper develops a joint model to identify direct and indirect genetic associations of SNPs with time-to-event traits in longitudinal studies, demonstrating improved accuracy in disease progression analysis.

Two-phase sample selection strategies for design and analysis in post-genome wide association fine-mapping studies

The paper proposes two-phase sampling strategies for post-GWAS fine-mapping studies to improve power and efficiency while controlling type 1 error.

On Statistical Power for Case-Control Host Genomic Studies of COVID-19

This paper assesses the statistical power of case-control genomic studies for identifying host genetic factors associated with COVID-19 susceptibility and severity using simulations and current epidemiological estimates.

Genome-wide association study of diabetic kidney disease highlights biology involved in renal basement membrane collagen

This study identifies 16 genome-wide significant loci associated with diabetic kidney disease, including a protective variant in the COL4A3 gene.