Anna L. Tyler

This study shows that human KL haplotypes FC and VS cause widespread transcriptomic changes in mouse brains at 12 months old, affecting mitochondrial, ribosomal, and synaptic functions, and linking them to Alzheimer's Disease pathogenesis.

This paper identifies novel epilepsy modifier genes in mice through meta-analysis of GWAS data and functional network analysis, highlighting genes involved in neurodevelopmental processes not targeted by current therapies.

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

This study uses genetically diverse mice to identify genetic loci associated with different disease progression patterns in multiple sclerosis.

This study identifies new genetic loci and candidate genes associated with tuberculosis susceptibility in mice using systems genetics approaches.

The paper examines how histone modifications vary across mouse strains and correlates these variations with gene expression, finding strong links between chromatin states and gene expression, but not DNA methylation.

This paper introduces a multi-network gene prioritization method for Alzheimer's Disease that complements mQTL-based approaches, showing significant concordance in prioritizing risk genes.

The paper identifies a genetic modifier locus, Bphse, that complements resistance to histamine sensitization in mice by analyzing Hrh1 alleles and using network-based methods.

This study examines how kinship correction affects genetic interaction test statistics in mouse populations, finding no inflation in interaction tests but recommending reduced kinship matrices for better correction.

This study identifies novel genetic modifiers of late-onset Alzheimer's disease by stratifying patients into molecular subtypes using transcriptomic data and whole genome sequencing.

This study identifies a three-gene network influencing lung function and autoantibody status in systemic sclerosis patients through genetic interaction analysis.

The paper uses network-based functional prediction to prioritize candidate genes in a mouse histamine hypersensitivity QTL, identifying genes with strong functional associations and SNP proximity.

The paper models epistatic networks in Diversity Outbred mice linking genetic variation, gene expression, and phenotypes related to metabolic disease and diet.