Susan L. Slager

UNISOM improves CHIP detection from low-coverage sequencing data by combining variant calling with machine learning classification, identifying low-VAF mutations with high sensitivity.

This study assesses polygenicity and risk prediction using common variants across 14 cancers, finding varying numbers of susceptibility variants and risk score effectiveness.

This paper introduces a new pedigree analysis method to identify risk variants for complex diseases, applying it to Multiple Myeloma and finding two genes associated with DNA repair and chromatin remodeling.