Natalia Antonenkova

PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups

PRANA adapts polygenic risk scores to non-European populations, improving predictive accuracy by 5%-20% in South Asian, East Asian, and Ashkenazi Jewish populations.

Differences in polygenic score distributions in European ancestry populations: implications for breast cancer risk prediction

This study examines differences in polygenic risk score distributions across European populations and shows how country-specific calibration can improve breast cancer risk prediction.

Rare copy number variants (CNVs) and breast cancer risk

The paper analyzes rare copy number variants (CNVs) in breast cancer cases and controls, identifying associations with known and novel susceptibility loci.

Fine-mapping of 150 breast cancer risk regions identifies 178 high confidence target genes

This study fine-maps 150 breast cancer risk regions to identify 178 high confidence target genes using genomic and functional annotations.

Shared heritability and functional enrichment across six solid cancers

This study quantifies genetic correlations between six solid cancers and other diseases using GWAS data, finding shared heritability and functional enrichment in regulatory regions.