Elissa J. Chesler

CellMAGE deconvolves gene expression in multi-parent populations by leveraging known parental genetic contributions, outperforming existing methods in accuracy and efficiency.

The paper identifies genomic loci associated with cellular rhythms in Diversity Outbred mice using QTL mapping and connects them to circadian regulation and complex traits.

This paper introduces a genomic framework to prioritize mouse strains for preclinical disease modeling, showing high sensitivity in predicting strain vulnerability to diseases.

This study identifies a shared genetic regulator linking metabolism and addiction-related behavior in mice and humans through a common enhancer regulating Eed/Me3 and EED/ME3.

CONSILIENCE-GWAS integrates functional genomics data with human GWAS to analyze heritability and polygenic scores across species.

The paper examines behavioral variation in cocaine self-administration across multiple phases in genetically diverse mouse populations, identifying strain and sex differences and extreme strains for drug intake traits.

Enhlink infers enhancer-promoter linkages using scATAC-seq data and outperforms existing methods, revealing a super-enhancer regulating striatal neuron markers.

This study identifies Tmod2 as a regulator of cocaine-induced plasticity and addiction-related behaviors through effects on neuronal excitability and synaptic function.

This study identifies and validates 22 genes that drive drug intake and related behavioral traits in mice through knockout screening and behavioral assays.

GenomeMUSter integrates and harmonizes mouse genetic variation data across populations to enable multi-trait, multi-population analyses and improve variant-phenotype association studies.

This study maps eQTLs in the striatum of Diversity Outbred mice and provides tools for querying genetic variants and co-expression networks related to striatal gene expression and addiction-related behaviors.

This paper introduces OBA, a formalized ontology for biological attributes to facilitate data integration across phenotypic, genetic, and environmental data.

This study links gut microbiome composition and glutamate metabolism to cocaine self-administration in mice, showing sex-specific associations and functional relevance.

This study maps ethanol sensitivity QTLs in Diversity Outbred mice using phenotyping and genotyping data to identify candidate genes for alcohol use disorders.

The paper measures cocaine-induced behavioral sensitization across genetically diverse Collaborative Cross strains and their founders, identifying significant heritability and phenotypic variation.

The paper identifies genetic loci associated with reversal learning phenotypes in Diversity Outbred mice, revealing a genome-wide significant QTL on chromosome 7.

The paper examines heritability of reward sensitivity and impulsivity traits in inbred mice and finds these traits are independent and heritable.

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 heritability of ethanol consumption and pharmacokinetics in genetically diverse mouse strains, identifying heritable variation and sex-modulated genetic effects.

The paper uses cross-species transcriptomic data to identify genetic factors influencing human tobacco consumption, finding heritability enrichment in co-regulated genes.

The paper identifies genes and pathways shared between SARS-CoV-2 infection and COVID-19 comorbidities using bioinformatics tools.

The paper introduces GBRS, a method to reconstruct diploid genomes and quantify gene expression in multi-parent populations using RNA-Seq data without requiring genotype information.

The paper identifies genetic factors influencing opioid-induced respiratory depression in mice using genetic mapping and functional analysis.

The paper identifies conserved gene expression patterns between mouse cocaine self-administration and human cocaine use disorder in meso-limbic circuits.

The paper identifies Rab3b as a gene influencing cocaine response and habituation in mice through integrative genomic analysis of multiple studies.

This paper introduces NESS, a tool that improves gene-disease association discovery by leveraging multi-species functional genomics data and network analysis to overcome data sparsity and bias.

This study shows that including genetic and sex differences in mice improves the alignment of addiction-related traits with human studies.

The paper identifies host-microbiome interactions using systems genetics in mice, revealing mechanisms of microbial involvement in disease.

The paper introduces a reference trait analysis method to correlate complex traits with molecular features in disjoint samples, showing it outperforms TWAS in identifying associated transcripts.