Robert D. Schnabel

The paper uses whole-genome analyses to challenge the two-domestication model of cattle, showing zebu originated from admixture between taurine cattle and Indian aurochs with introgression from gaur-like or banteng-like populations.

T2T-HG002v1.1, a complete diploid HG002 assembly lacking detectable errors over 99.4% of its length, enables genome-based benchmarking of assemblies, sequencing reads, and phased variant calls.

This paper introduces TrioTrain, a multi-species variant calling model that improves performance in non-human genomes by reducing Mendelian Inheritance Errors.

The paper identifies genomic loci influencing seasonal coat shedding in cattle by analyzing large-scale phenotypic and genetic data, finding strong associations with metabolism and light-sensing genes.

This study improves genetic mapping resolution in pigs by developing a high-density haplotype reference panel and a public imputation server.

The paper identifies genomic loci associated with birth date and environmental adaptation in US beef cattle using large-scale genomic data and linear mixed models.

The paper identifies genotype-by-environment interactions affecting growth traits in cattle using genome-wide association analyses and finds these interactions contribute to phenotypic variance.

The paper improves imputation accuracy in cattle by using a multi-breed reference panel with rare variants from the GGP-F250 assay.

CRUMBLER predicts cattle ancestry using SNP data and reference populations to estimate breed composition in admixed animals.

The paper identifies lethal haplotypes in Angus cattle by analyzing SNP data and resequencing, suggesting strategies to manage inbreeding and improve genetic gains.

This study identifies genetic variants associated with transverse hemimelia in water buffalo using whole genome sequencing and homozygosity mapping, revealing an oligogenic inheritance pattern involving multiple genes.

The paper uses genome-wide SNP data to determine the origins and genetic uniqueness of feral cattle on Chirikof Island, Alaska, revealing a complex history of cattle introductions and natural selection.

The paper analyzes unmapped DNA and RNA reads from a bovine reference individual to identify missing or misassembled sequences and detect unsequenced organisms.