Fredrick R. Schumacher

Cross-Tissue Concordance of Blood-Trained Protein EpiScores in Donor-Matched GTEx Tissues

This study evaluates how well blood-trained protein EpiScores predict protein levels in non-blood GTEx tissues, finding broad concordance in lung but covariate-sensitive results in other tissues.

imply: improving cell-type deconvolution accuracy using personalized reference profiles

imply improves cell-type deconvolution by using personalized reference panels, showing reduced bias and better alignment with biological facts in real data.

Standardizing and applying a mating-based whole-genome simulation approach reveals caution in using chromosome-level PCA and kinship estimates

This paper introduces a mating-based whole-genome simulation method using SLiM, showing its efficiency and flexibility compared to HapGen, and highlights issues with chromosome-level PCA and kinship estimates.

Combining Asian-European Genome-Wide Association Studies of Colorectal Cancer Improves Risk Prediction Across Race and Ethnicity

This study improves polygenic risk scores for colorectal cancer by combining Asian and European ancestry data, enhancing risk prediction across diverse racial and ethnic groups.

Genetic architectures of proximal and distal colorectal cancer are partly distinct

This study identifies 13 new genetic loci specific to proximal or distal colorectal cancer subtypes, revealing partly distinct genetic architectures for these tumor locations.

Assessment of Polygenic Architecture and Risk Prediction based on Common Variants Across Fourteen Cancers

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

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.

Large-scale transcriptome-wide association study identifies new prostate cancer risk regions

This study integrates a large prostate cancer GWAS with gene expression data to identify 235 genes associated with risk, prioritizing causal genes through Bayesian credible sets.