Apurva S. Chitre

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

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.

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.

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.

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

The paper introduces efficient algorithms for detecting statistical epistasis using varied interaction encodings and applies them to rat and mouse datasets to find evidence of epistasis in body mass index.

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.

The paper identifies cell type-specific gene regulatory changes in the amygdala of rats with varying cocaine addiction-like behaviors, linking them to energy metabolism, GABAergic inhibition, and chromatin accessibility.

The paper identifies gene expression patterns in the hippocampus of rats that predict internalizing and externalizing behaviors, linking them to genetic variation and biological processes.

The paper genotypes over 4,000 Sprague Dawley rats to characterize genetic diversity and performs GWAS on Pavlovian conditioned approach behavior, identifying 46 significant loci.

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

The paper adapts genotype-by-sequencing for HS rats to call and impute over 3.7 million SNPs with 99% concordance compared to a genotyping array.

This study investigates replication challenges in GWAS using two mouse cohorts, finding limited replication success despite similar sample sizes and population origins.