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Haloperidol response across genetic backgrounds

ABSTRACT: We performed short-term bi-directional selective breeding for haloperidol-induced catalepsy, starting from three mouse populations of increasingly complex genetic structure: an F2 intercross, a heterogeneous stock (HS) formed by crossing four inbred strains (HS4) and a heterogeneous stock (HS-CC) formed from the inbred strain founders of the Collaborative Cross (CC). All three selections were successful, with large differences in haloperidol response emerging within three generations. Genome-wide analysis between the selected lines revealed post-selection loss of allelic diversity concurrent with significant genetic differences. In spite of large phenotypic differences, absolute gene-expression changes were modest and not concordant across selections. However, gene coexpression patterns changed significantly, as revealed by the weighted gene co-expression network analysis. In particular, we detected three modules (de novo subnetworks) that (a) were functionally enriched for neurobehavioral traits and (b) showed independently detectable changes in network connectivity across selections. By inferring strain contributions from the parental lines, we are able to identify significant differences in allelic content between the selected lines concurrent with large changes in transcript connectivity. Importantly, this observation implies that genetic polymorphisms can affect transcript and module connectivity without large changes in absolute expression levels. We conclude that, in this case, selective breeding acts at the subnetwork level, with the same modules but not the same transcripts affected across the three selections.

ORGANISM(S): Mus musculus

PROVIDER: GSE37755 | GEO | 2012/05/06

SECONDARY ACCESSION(S): PRJNA163347

REPOSITORIES: GEO

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Project description:We performed short-term bi-directional selective breeding for haloperidol-induced catalepsy, starting from three mouse populations of increasingly complex genetic structure: an F2 intercross, a heterogeneous stock (HS) formed by crossing four inbred strains (HS4) and a heterogeneous stock (HS-CC) formed from the inbred strain founders of the Collaborative Cross (CC). All three selections were successful, with large differences in haloperidol response emerging within three generations. Genome-wide analysis between the selected lines revealed post-selection loss of allelic diversity concurrent with significant genetic differences. In spite of large phenotypic differences, absolute gene-expression changes were modest and not concordant across selections. However, gene coexpression patterns changed significantly, as revealed by the weighted gene co-expression network analysis. In particular, we detected three modules (de novo subnetworks) that (a) were functionally enriched for neurobehavioral traits and (b) showed independently detectable changes in network connectivity across selections. By inferring strain contributions from the parental lines, we are able to identify significant differences in allelic content between the selected lines concurrent with large changes in transcript connectivity. Importantly, this observation implies that genetic polymorphisms can affect transcript and module connectivity without large changes in absolute expression levels. We conclude that, in this case, selective breeding acts at the subnetwork level, with the same modules but not the same transcripts affected across the three selections. Equal numbers of males and females (~200 total) from the founder populations (F2, HS4 and HS-CC) were phenotyped for haloperidol response using a two-step process that resulted in assigning animals to one of four groups; “1” was the least responsive, and “4” was the most responsive. Breeding pairs were selected from the most extreme response groups. The selection and breeding were continued for two additional generations; in the third generation, parents were bred for three rounds to produce progeny for gene expression. For each genetic background the submitted samples are labeled as either High or Low based on their response to haloperidol.

Project description:Elevated intraocular pressure (IOP) is influenced by environmental and genetic factors. It is associated with 23 multiple disease processes with primary open angle glaucoma (POAG) being the most prevalent. Due to its 24 complex, multifactorial nature, genetic predisposition is not completely understood thus, there is an urgent 25 need for additional investigations into the genetic regulation of IOP. Heterogenous stock (HS) outbred rats are 26 a multigenerational outbred population derived from eight inbred strains that have been fully sequenced. This 27 population is ideal for genome-wide association studies (GWAS) due to the accumulated recombinations 28 among well-defined haplotypes, the relatively high allele frequencies, access to a large collection of tissue 29 samples, and the large allelic effect size compared to human studies. The purpose of this study was to identify 30 genetic loci underlying elevated IOP using HS rats. Both male and female HS rats (N=1,812) were used in the 31 study. Genotyping-by-sequencing was used to obtain ~3.5M single nucleotide polymorphisms from each 32 individual. We performed a GWAS for the IOP phenotype using a linear mixed model and used permutation to 33 determine a genome-wide significance threshold. We also estimated SNP heritabilities. Our GWAS results 34 identified three genome-wide significant loci for elevated IOP on chromosomes 1, 5, and 16. These loci 35 contained 7 genes in total including Tyr, Grm5, Ctsc, Rab38, MGC94199, Plekhf2, and Csmd1. We also 36 mapped expression quantitative trait loci (eQTLs) in HS rat eye tissue and discovered a cis-eQTL for Ctsc 37 among our significant loci. Tyr is the only gene that has been previously associated with human IOP. This 38 study highlights the efficacy of HS rats for investigating the genetics of elevated IOP and identifying potential 39 candidate genes for future functional testing. In summary, GWAS using HS rats is a powerful method for 40 identifying genome regions that harbor variants responsible for the variation in quantitative traits, such as IOP. 41 Additional studies are ongoing to further narrow the list of candidate genes in these intervals.

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Haloperidol response across genetic backgrounds

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