Didier Boichard

This study maps cis and trans meQTLs in cattle blood DNA methylation using EpiChip data, identifying regulatory genes and hotspots associated with methylation patterns.

The paper presents a reusable TWAS workflow for cattle to identify gene-trait associations using GWAS and transcriptomic data, improving variant calling and detecting novel associations.

The paper constructs a cattle pangenome to identify novel non-reference unique insertions (NRUIs) and links them to economically important traits.

The paper detects structural variants in French cattle using long and short-read data, identifying 25,191 deletions and 30,118 insertions across 14 breeds.

This study evaluates deep generative models for simulating discrete genotype data, showing their ability to capture genetic patterns and preserve genotype-phenotype associations.

The paper constructs a bovine pangenome using long-read sequencing and identifies structural variants associated with key phenotypes in French cattle breeds.

The paper investigates how multi-trait selection affects genetic correlations in populations, using theory and a case study on dairy cattle data.

The paper identifies a deep intronic splicing mutation in the GNPAT gene in cattle causing rhizomelic chondrodysplasia punctata, and demonstrates its phenotypic effects through genetic and functional analyses.

The paper detects recessive genetic defects in cattle using genomic data and life history analysis, identifying 33 new loci linked to juvenile mortality.