Bryce Rowland

Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-specific effects via GAUDI

GAUDI improves polygenic risk prediction in admixed populations by modeling ancestry-specific and shared effects, outperforming existing methods in simulations and real data.

THUNDER: A reference-free deconvolution method to infer cell type proportions from bulk Hi-C data

THUNDER is a deconvolution method that infers cell type proportions from bulk Hi-C data, outperforming existing methods in accuracy.

Genetic Examination of Hematological Parameters in SARS-CoV-2 Infection and COVID-19

This study examines the genetic links between baseline hematological parameters and risk of SARS-CoV-2 infection and severe COVID-19 using Mendelian randomization and GWAS data.

Transcriptome-wide association study in UK Biobank Europeans identifies associations with blood cell traits.

This study identifies 557 new gene-trait associations for hematological traits using transcriptome-wide association analysis in UK Biobank data.

Analyses of Biomarker Traits in Diverse UK Biobank Participants Identify Associations Missed by European-centric Analysis Strategies

The paper identifies novel genetic associations for biomarker traits in non-European UK Biobank populations, highlighting missed signals in European-centric analyses.

A large-scale transcriptome-wide association study (TWAS) of ten blood cell phenotypes reveals complexities of TWAS fine-mapping

This paper performs a large-scale TWAS of blood cell phenotypes, identifies 239 gene-trait associations, and develops an R Shiny app to visualize TWAS results.