Eric Hahnen

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.

Incorporating alternative Polygenic Risk Scores into the BOADICEA breast cancer risk prediction model

This paper evaluates methods to incorporate alternative polygenic risk scores into the BOADICEA breast cancer risk prediction model, finding that retrospective likelihood approaches provide more accurate estimates.

Exome sequencing identifies novel susceptibility genes and defines the contribution of coding variants to breast cancer risk.

The paper uses whole-exome sequencing data to identify novel breast cancer susceptibility genes and assess the contribution of coding variants to breast cancer risk.

Breast cancer risks associated with missense variants in breast cancer susceptibility genes

The paper assesses breast cancer risks linked to rare missense variants in five susceptibility genes using logistic and mixture models, finding varying risk contributions across genes.

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.

Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

This study identifies 32 new breast cancer susceptibility loci through GWAS, with associations varying by tumor subtype and genetic correlations among subtypes.