Wen Huang

This study shows that common GWAS methods can produce misleading associations in livestock with polygenic architecture, highlighting the need for methods that control long-range LD spillover.

The paper introduces DGRP3, an expanded Drosophila genetic reference panel with 1,233 inbred lines, identifying genetic variants and performing GWAS for traits like inbreeding depression and sensory bristles.

The paper identifies genetic variants and genes associated with mating success between DGRP males and Zimbabwe females, revealing polygenic and inversion-based mechanisms of incipient sexual isolation in Drosophila melanogaster.

This study characterizes allele-specific regulatory variation in hybrid pigs using multi-omic data across tissues and developmental stages, identifying genes influenced by parent-of-origin and genotype effects.

The paper maps splice QTLs in pigs to show distinct genetic regulation of alternative splicing and overall gene expression.

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

The paper investigates how single nucleotide polymorphisms in the Drosophila Obp56h gene affect quantitative traits and molecular phenotypes, finding that allelic effects are context-dependent and not captured by traditional additive models.

This study identifies genetic variants associated with cocaine and methamphetamine consumption in Drosophila, revealing polygenic and sex-specific effects involving nervous system genes.

This study predicts Drosophila complex traits using genotypes, gene expression, and gene ontology, finding that expression and GO terms improve accuracy, especially when sample sizes are small.

This study examines how genetic variation in gene expression responds to environmental changes in Drosophila melanogaster, finding genotype by environment interactions and conserved co-expression networks.

The paper maps expression quantitative trait loci and constructs sex-specific regulatory networks in Drosophila to understand how genetic variation affects gene expression and transposable element activity.

ASlive provides an alternative splicing atlas for five livestock species using RNASeq data, offering genomic and quantitative information on splicing events.

This study shows that genetic interactions reduce polygenic prediction accuracy across divergent populations.

The paper quantifies genetic architecture differences between European-Americans and African-Americans for four traits using random-effect interaction models, finding significant effect heterogeneity.

The paper quantifies genome-wide gene expression variation in Drosophila melanogaster inbred lines and identifies regulatory variants affecting both mean and variance of gene expression.