Ruidong Xiang

This paper evaluates milk mid-infrared spectroscopy combined with on-farm variables to predict serum biomarkers in dairy cows, finding that blood urea nitrogen (BUN) is most accurately predicted, while other biomarkers show limited external validation performance.

SheepEpimap combines 516 histone CUT&Tag, ATAC-seq and RNA-seq datasets from 43 sheep tissues to annotate 2.93 million cis-regulatory elements and 145,407 allele-specific variants for trait interpretation.

The paper presents CattleGTEx, a resource characterizing regulatory effects in cattle, resolving GWAS signals and providing insights into adaptive evolution and selection.

The paper identifies sex-specific genetic regulatory effects in chickens using whole-genome sequencing and transcriptomes, revealing sex-dependent gene regulation and structural variants.

BayesR3AD extends Bayesian mixture models to jointly estimate additive and dominance genetic effects, improving prediction accuracy for fertility and longevity in Holstein cattle.

The paper presents a multi-tissue sheep atlas identifying regulatory variants and their effects on molecular phenotypes, revealing allelic heterogeneity and evolutionary patterns.

GSOR and MTAO detect widespread cis-regulatory effects on bovine complex traits by linking gene expression with genetic scores and multi-trait associations.

The paper tests three methods to identify causal genes for milk lipid traits in cattle using GWAS, transcriptomics, and gene ontology analysis, finding significant overlaps but limited power.

This study identifies genetic loci influencing variance in blood cell traits and shows that incorporating variance polygenic scores improves prediction accuracy.

The ChickenGTEx project provides a multi-tissue reference of regulatory variants in chicken, analyzing their functional impacts and utility in genetics, genomics, and evolutionary studies.

The paper performs a multi-breed meta-GWAS in pigs to identify genomic regions associated with complex traits and integrates with PigGTEx to prioritize variant-gene-tissue-trait circuits.

The paper constructs a sheep developmental gene expression atlas and identifies key genes associated with economically important traits by analyzing gene expression across developmental stages.

The paper presents PigGTEx, a resource linking genetic variants to transcriptomic phenotypes in pigs, showing pigs' similarity to humans in gene regulation and complex traits.

The paper quantifies how gene expression and splicing QTL explain heritability in cattle traits using Bayesian methods across 16 tissues.

The paper constructs a graph-based sheep pan-genome to identify structural variations and their association with tail phenotypes in domestic and wild sheep.

The paper constructs a cattle Genotype-Tissue Expression atlas and identifies genetic regulatory variants linked to gene expression and traits in cattle.

The paper investigates the effects of classical mutant alleles on cattle complex traits and fitness, finding differential impacts on fertility, stature, milk production, and mastitis risk.

This study identifies new genetic loci and neuronal pathways associated with heat tolerance in dairy cows using genome-wide association analysis of milk production traits.

The paper uses Bayesian models to analyze cattle traits by incorporating functionally significant variants, showing improved genomic prediction accuracy when combining these variants with HD SNPs.

The paper identifies sequence variants with regulatory and evolutionary significance in cattle and ranks them using a Functional-And-Evolutionary Trait Heritability score to improve genomic prediction.

The paper identifies bovine sQTLs associated with RNA splicing variation and shows they are shared across tissues and linked to complex traits.