Kodi Taraszka

This study performs GWAS on 20 rare cancers using three cohorts, identifying nine novel susceptibility loci with replication across eight cancer types.

This paper introduces COXMM, a model for estimating heritability of time-to-event traits, showing it outperforms non-TTE methods and reveals heritability patterns in longitudinal data.

The paper introduces ResidPCA, a method for identifying cell states in single-cell RNA and ATAC sequencing data, showing improved accuracy over existing methods in both simulated and real datasets.

This study investigates the genetic basis of dietary iron overload and associated pathologies in mice using the Hybrid Mouse Diversity Panel, identifying genetic loci and pathways involved.

The paper demonstrates that discarded tumor sequencing reads can be used to impute germline genotypes, enabling the construction of large germline research cohorts from existing clinical data.

This paper introduces MsCAVIAR, a method for fine mapping causal variants across multiple GWAS studies, showing it reduces causal set sizes by over 20% in Type 2 Diabetes analysis.

This paper introduces PAT, a method for joint analysis of multiple traits in GWAS, showing increased power and novel associations in UK Biobank data.