Julie‐Alexia Dias

This study analyzes breast cancer GWAS across multiple ancestries, finding similar heritability and genetic correlations, and identifies shared regulatory and cellular contexts.

MetaSTAARlite is a tool for rare variant meta-analysis using summary statistics from biobank-scale whole-genome sequencing data, showing linear scaling and concordance with pooled analysis.

The paper identifies non-DNA-contacting residues that determine mono- versus bispecific DNA binding in forkhead transcription factors using protein binding microarrays.

This study compares pooled analysis and meta-analysis for multi-ancestry GWAS, finding pooled analysis offers better statistical power while controlling population structure.

Admix-kit provides tools for genetic analysis of admixed populations, enabling simulation, association testing, and polygenic scoring.

The paper extends Mendelian risk prediction models to incorporate variant-specific penetrances, improving cancer risk predictions for BRCA1/2 pathogenic variants.