David Bujold

TL;DR: A genome-wide association analysis in the UK Biobank and INTERVAL studies is performed, providing evidence of shared genetic pathways linking blood cell indices with complex pathologies, including autoimmune diseases, schizophrenia, and coronary heart disease and evidence suggesting previously reported population associations betweenBlood cell indices and cardiovascular disease may be non-causal.

TL;DR: High-resolution genetic, epigenetic, and transcriptomic profiling in three major human immune cell types from up to 197 individuals yields insights into cell-type-specific correlation between diverse genomic inputs, more generalizable correlations between these inputs, and defines molecular events that may underpin complex disease risk.

TL;DR: The IHEC Data portals represents a strategy for unifying the distributed data produced by international research consortia and enhances the utility of these reference maps by facilitating the discovery, visualization, analysis, download and sharing of epigenomics data.

TL;DR: An epigenome-wide association study across 406,365 CpGs in 52 monozygotic twin pairs discordant for type 1 diabetes in three immune effector cell types implicate epigenetic changes that could contribute to disease pathogenesis in T1D.

TL;DR: GenPipes is a flexible Python-based framework that facilitates the development and deployment of multi-step workflows optimized for high-performance computing clusters and the cloud, and offers genomics researchers a simple method to analyze different types of data.