Mitchell Conery

ARCHER-LD: Rapid Long-Range Linkage Disequilibrium Calculations at Biobank Scale using GPU Acceleration

The paper introduces ARCHER-LD, a GPU-accelerated method to compute long-range linkage disequilibrium at biobank scale, achieving significant speedups over existing tools.

GWAS-informed data integration and non-coding CRISPRi screen illuminate genetic etiology of bone mineral density

The paper integrates GWAS data with a CRISPRi screen in osteoblasts to identify genes affecting bone mineral density and reveals pleiotropy across non-bone tissues.

Single-cell multiome analysis supports α-to-β transdifferentiation in human pancreas

The paper identifies transitional cell states between alpha and beta cells in human islets using single-cell multiome data, suggesting potential for alpha-to-beta transdifferentiation.

Diversity and Scale: Genetic Architecture of 2,068 Traits in the VA Million Veteran Program

Population-stratified GWAS of 2,068 traits in 635,969 Million Veteran Program participants, 29% genetically non-European, yields 98,485 associations and 57,601 fine-mapped signals with largely shared cross-population architecture.

Accelerating Genome- and Phenome-Wide Association Studies using GPUs - A case study using data from the Million Veteran Program

This paper optimizes the SAIGE algorithm using GPUs to accelerate GWAS on large datasets, achieving 20x speedup on the Million Veteran Program data.

Regularized sequence-context mutational trees capture variation in mutation rates across the human genome

Baymer is a Bayesian hierarchical model that estimates mutation probabilities using sequence context, showing improved accuracy and robustness compared to previous methods.