Yahui Gao

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

OmiGA improves molQTL mapping in complex populations by using an efficient linear mixed model, enhancing power and reducing false positives.

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

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

This study identifies selection signatures and loci associated with complex traits in pigs by analyzing multi-omics data from Eastern and Western breeds.

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

The paper introduces a web server for multi-species transcriptome-wide association study (TWAS) analysis, enabling gene expression prediction and trait association in humans and farm animals.

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

The paper builds a TE atlas in pigs, showing young SINEs' roles in gene regulation, genetic diversity, and complex traits through multi-omics analysis.