Oksana Polesskaya

This paper expands the RatGTEx resource with transcriptome-wide associations across 3,160 RNA-seq samples, identifying 7,473 gene-trait links and 144,876 QTLs for 22,599 genes.

The paper replicates the association between St6galnac1 and Paraprevotella abundance in stool samples from non-fasted HS rats, confirming the association across different experimental conditions.

The paper uses Genomic SEM to identify loci underlying locomotor activity in rats, finding 31 loci compared to fewer from other methods.

The paper identifies non-SNP variants as significant regulators of gene expression and addiction-related traits in HS rats using joint cis-eQTL analysis.

Trex-QTL identifies trans-eQTLs with global effects on molecular phenotypes, showing improved power and replicating known loci in rat brain data.

This study performs a GWAS on cocaine self-administration in rats, identifying six genome-wide significant loci, including one linked to carboxylesterase genes involved in cocaine metabolism.

The paper identifies genetic loci associated with anxiety-like and nociceptive traits in outbred Sprague-Dawley rats using genome-wide association analysis.

The paper identifies host genetic effects on microbiome composition in rats and finds evidence of indirect genetic effects contributing to missing heritability.

The paper investigates the functional role of recursive splicing in CADM2, showing that its deletion leads to altered gene expression and behavioral changes in neurodevelopmental disorders.

RatXcan extends transcriptome-wide association studies to rats, enabling cross-species integration of GWAS and gene expression data to identify shared genetic mechanisms of complex traits.

This study identifies genomic loci associated with cue-reactivity in rats, linking them to incentive salience and drug abuse-related traits.

This study identifies genetic loci associated with opioid use disorder-related behaviors in rats using a genome-wide association approach and network-based clustering.

The paper describes a cost-effective, high-throughput genotyping method for heterogeneous stock rats using low-coverage sequencing data, achieving high accuracy comparable to high-coverage sequencing.

The paper shows that escalation of cocaine intake, progressive ratio responding, and continued use despite adverse consequences are highly correlated in rats, with sex differences in addiction-like behaviors.

The paper genotypes Y and mitochondrial chromosomes in heterogeneous stock rats and finds no significant associations with complex traits, except for gene expression on these chromosomes.

This study identifies genetic loci associated with age-related hearing loss in CFW mice using genome-wide association analysis and functional validation.

The paper presents an improved rat reference genome, mRatBN7.2, which enhances genomic, transcriptomic, and proteomics data mapping and identifies millions of genetic variations across rat strains.

This study identifies genetic loci associated with delay discounting in Heterogenous Stock rats using GWAS, implicating Slc35f1 and Adgrl3 as potential genes involved in this behavior.

RATTACA uses genotype data from Heterogeneous Stock rats to predict trait values, enabling genetic correlation analysis and experimental design without extensive phenotyping.

The paper identifies genetic loci associated with motivated behavior in zebrafish and links them to psychiatric risk genes in humans.

AutoQTL automates QTL analysis and GWAS by applying machine learning to detect both additive and non-additive genetic effects in genetic data.

This study performs a GWAS in HS rats to identify genetic loci associated with intraocular pressure, finding three genome-wide significant loci and five candidate genes, including novel ones.

The paper simulates GWAS in rats to show that larger sample sizes lead to an exponential increase in the number of significant loci detected.

This study identifies genetic loci associated with exploratory locomotion and anxiety-like traits in a selectively bred rat model using a genome-wide association approach.

The paper identifies cis-QTLs and eQTLs in HS rats across five brain regions, finds colocalization with human GWAS results, and shows higher eQTL density compared to human data.

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

This study identifies 30 genome-wide significant QTLs for open field behaviors in rats, with 13 candidate genes linked to psychiatric disorders in humans.