Christopher P. King

Deep transcriptomic analysis of molecular mediators of complex traits in heterogeneous stock (HS) rats

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.

Activation of basal forebrain cholinergic neurons promotes the attribution of incentive salience to reward cues in male rats

The paper shows that activating basal forebrain cholinergic neurons increases sign-tracking in a Pavlovian Conditioned Approach task in male rats.

Genomic SEM reveals shared genetic architecture and expands locus discovery for locomotor activity in heterogeneous stock rats

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

Novel insights into the genetic architecture and mechanisms of host/microbiome interactions from a multi-cohort analysis of outbred laboratory rats

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

Dopamine receptor sensitivity and Pavlovian conditioned approach

This study links dopamine receptor sensitivity to cue-reactivity and cocaine sensitivity in rats, showing high D2 responders exhibit more sign-tracking and cocaine-induced ultrasonic vocalizations.

RatXcan: A framework for cross-species integration of genome-wide association and gene expression data

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.

Genomic Loci Influencing Cue-Reactivity in Heterogeneous Stock Rats

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

Y and Mitochondrial Chromosomes in the Heterogeneous Stock Rat Population

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.

Automated quantitative trait locus analysis (AutoQTL)

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

Exponential increase in QTL detection with increased sample size.

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

Nicotine and Opioid Polysubstance Abuse: Enhancement of opioid self-administration by systemic nicotine and modulation of opioid-associated memories by insular nicotine

This study shows that nicotine enhances opioid self-administration and modifies opioid-related memories, with insular nicotine affecting morphine contextual conditioning.

Genome wide association study in 3,173 outbred rats identifies multiple loci for body weight, adiposity, and fasting glucose