Tom Druet

The paper updates the RZooRoH package to improve computational efficiency and interpretability in analyzing inbreeding, identity-by-descent, and relatedness from genomic data.

The paper evaluates methods for predicting inbreeding levels using genomic data in small populations, finding that model-based and rule-based approaches perform well under various conditions.

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.

This study reconstructs the genetic history of feral cattle on Amsterdam Island, revealing a bottleneck, ancestry contributions, and genetic adaptation to the environment.

The paper introduces a new hidden Markov model for estimating homozygous-by-descent probabilities with nested ancestor layers, improving accuracy and interpretability over previous methods.

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 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 paper introduces a whole-genome-based model to estimate and characterize individual inbreeding by considering multiple age-based classes and using a hidden Markov model framework.