Alan Attie

The paper maps eQTL, isoQTL, irQTL, and sQTL in DO mice, showing distinct genetic effects on mRNA expression and splicing, and identifies candidate genes and regulatory mechanisms.

This study identifies glutaminase as critical for α cell mass and glucagon secretion by linking glutamine metabolism to amino acid sensing and growth.

This study examines the effects of restricting individual branched-chain amino acids on Alzheimer's disease progression in 3xTg mice, finding sex-specific cognitive and metabolic benefits.

The paper identifies a composite transcriptome signature with high distal heritability that explains 30% of metabolic trait variation across species.

This paper identifies VDAC1 as the target of SW016789, a hypersecretion inducer, and shows it causes distinct transcriptomic changes in beta-cells compared to ER stress.

The paper models metabolic disease susceptibility and resilience in genetically diverse mice by analyzing diet-induced metabolic responses across three strains.

This study identifies genetic loci linking host amylase genes to gut microbiome composition and metabolic traits in hyperlipidemic mice.

The paper identifies genetic drivers of plasma lipoproteins in mice and links them to human lipid traits using QTL analysis and GWAS integration.

The paper identifies Abhd2 as an enzyme involved in metabolizing phosphatidylcholine and cardiolipin using genetic and lipidomic data from Diversity Outbred mice.

This study identifies HNF4a's role in regulating acyl chain remodeling and ether lipid accumulation in hepatic steatosis through cold stress-induced changes in lipid metabolism.

The paper identifies three genetic loci influencing mitochondrial proteins and heart hypertrophy in mice using proteomics and association mapping.

The paper presents a MapCap sequencing workflow to locate and count transgenic sequences in mice, identifying insertion sites and characterizing genetic variations in a diabetes model.

The paper identifies sample mix-ups and mixtures in microbiome data from Diversity Outbred mice using shotgun sequencing reads.

INFIMA identifies effector genes of GWAS variants by integrating multi-omics data from mice and applying it to diabetes-associated variants.

This study identifies genetic loci associated with gut microbiota composition and bile acid profiles in mice using QTL analysis and validation experiments.