Michel Georges

The paper reconstructs IgG-specific N-glycan profiles from total plasma N-glycome data, identifies known and novel loci associated with IgG N-glycosylation, and enables meta-analyses without new samples.

The paper analyzes over 800,000 human genomes to assess penetrance of clinically relevant variants, finding that 95% of pLoF variants in severe diseases have explanations for lack of disease manifestation.

This study identifies 16 new genetic loci associated with plasma N-glycosylation in 10,000 individuals and links them to liver disease and inflammatory proteins.

The paper identifies 140 IBD risk loci with matching eQTL in blood and gut tissues and suggests entrectinib as a potential repurposing drug.

This study performs a GWAS on Belgian Blue beef cattle to identify coding variants associated with body size and muscular development, finding new genes and variants linked to growth in mammals.

The paper tests for transgenerational epigenetic effects of non-transmitted paternal alleles in mice and finds no significant evidence of such effects on gene expression or anatomical traits.

The paper identifies ten new genes with coding variants linked to Crohn's disease risk using sequencing data from over 30,000 patients and 80,000 controls.

This study updates the genetic architecture of COVID-19 by adding 11 new genome-wide significant loci through a large GWAS meta-analysis.

This paper benchmarks phasing software using a whole-genome sequenced cattle pedigree, finding ShapeIT4.1 and Beagle5.2 to be the most accurate for long haplotype segments.

The paper introduces MAGAR, a framework to identify methylation quantitative trait loci (methQTLs) and distinguish common from cell-type-specific effects using DNA methylation and genotyping data.

The paper uses blood eQTL meta-analysis to explore the polygenic architecture of complex traits, finding that trans-eQTLs are more informative for identifying causal genes than cis-eQTLs.

The paper characterizes the spatiotemporal H3K27ac landscape in pigs to identify regulatory elements and their associations with gene regulation and complex traits.

The paper identifies a 12 kb multi-allelic CNV associated with mastitis resistance in dairy cattle by linking it to increased GC expression and a cis-regulatory enhancer.

This study identifies 5,106 new genetic variants associated with blood cell traits using large-scale GWAS, highlighting the polygenic and monogenic basis of hematopoiesis.

The paper presents a SNP-based method to deconvolute biological mixtures using whole genome sequencing, applied to detect subclinical mastitis in cows via tank milk analysis.

The paper analyzes single-cell RNA-Seq and ATAC-Seq data from native and iPSC-derived murine retina to identify regulatory toggles involved in differentiation.

This study performs GWAS on blood cell flow-cytometry phenotypes, identifies variant-trait associations, and links them to cellular structures and disease mechanisms.

PCIP-seq uses long-read sequencing to simultaneously identify retroviral insertion sites and their integrated proviruses, revealing SNPs, structural variants, and viral evolution.

This study identifies twelve genetic loci associated with human blood plasma N-glycome composition through genome-wide association analysis, revealing both direct and indirect genetic influences on glycosylation.

Cattle pedigrees indicate up to ~30% of de novo mutations in male gametes and ~50% in female gametes arise during early cleavage divisions, leaving parental mosaicism and sibling sharing.