We have used a genetical genomic approach, in conjunction with phenotypic analysis of alcohol consumption, to identify candidate genes that predispose to varying levels of alcohol intake by HXB/BXH recombinant inbred rat strains. In addition, in two populations of humans, we assessed genetic polymorphisms associated with alcohol consumption using a custom genotyping array for 1,350 single nucleotide polymorphisms (SNPs). Our goal was to ascertain whether our approach, which relies on statistical and informatics techniques, and non-human animal models of alcohol drinking behavior, could inform interpretation of genetic association studies with human populations. In the HXB/BXH recombinant inbred (RI) rats, correlation analysis of brain gene expression levels with alcohol consumption in a two-bottle choice paradigm, and filtering based on behavioral and gene expression quantitative trait locus (QTL) analyses, generated a list of candidate genes. A literature-based, functional analysis of the interactions of the products of these candidate genes defined pathways linked to presynaptic GABA release, activation of dopamine neurons, and postsynaptic GABA receptor trafficking, in brain regions including the hypothalamus, ventral tegmentum and amygdala. The analysis also implicated energy metabolism and caloric intake control as potential influences on alcohol consumption by the recombinant inbred rats. In the human populations, polymorphisms in genes associated with GABA synthesis and GABA receptors, as well as genes related to dopaminergic transmission, were associated with alcohol consumption. Our results emphasize the importance of the signaling pathways identified using the non-human animal models, rather than single gene products, in identifying factors responsible for complex traits such as alcohol consumption. The results suggest cross-species similarities in pathways that influence predisposition to consume alcohol by rats and humans. The importance of a well-defined phenotype is also illustrated. Our results also suggest that different genetic factors predispose alcohol dependence versus the phenotype of alcohol consumption.
1 November 2013 in Pharmacology Biochemistry and Behavior
Since the completion of the rat reference genome in 2003, whole-genome sequencing data from more than 40 rat strains have become available. These data represent the broad range of strains that are used in rat research including commonly used substrains. Currently, this wealth of information cannot be used to its full extent, because the variety of different variant calling algorithms employed by different groups impairs comparison between strains. In addition, all rat whole genome sequencing studies to date used an outdated reference genome for analysis (RGSC3.4 released in 2004). Here we present a comprehensive, multi-sample and uniformly called set of genetic variants in 40 rat strains, including 19 substrains. We reanalyzed all primary data using a recent version of the rat reference assembly (RGSC5.0 released in 2012) and identified over 12 million genomic variants (SNVs, indels and structural variants) among the 40 strains. 28,318 SNVs are specific to individual substrains, which may be explained by introgression from other unsequenced strains and ongoing evolution by genetic drift. Substrain SNVs may have a larger predicted functional impact compared to older shared SNVs. In summary we present a comprehensive catalog of uniformly analyzed genetic variants among 40 widely used rat inbred strains based on the RGSC5.0 assembly. This represents a valuable resource, which will facilitate rat functional genomic research. In line with previous observations, our genome-wide analyses do not show evidence for contribution of multiple ancestral founder rat subspecies to the currently used rat inbred strains, as is the case for mouse. In addition, we find that the degree of substrain variation is highly variable between strains, which is of importance for the correct interpretation of experimental data from different labs.
A quantitative genetic approach, which involves correlation of transcriptional networks with the phenotype in a recombinant inbred (RI) population and in selectively bred lines of rats, and determination of coinciding quantitative trait loci for gene expression and the trait of interest, has been applied in the present study. In this analysis, a novel approach was used that combinedDNA‐Seq data, data from brain exon array analysis ofHXB/BXH RIrat strains and six pairs of rat lines selectively bred for high and low alcohol preference, andRNA‐Seq data (including rat brain transcriptome reconstruction) to quantify transcript expression levels, generate co‐expression modules and identify biological functions that contribute to the predisposition of consuming varying amounts of alcohol. A gene co‐expression module was identified in theRIrat strains that contained both annotated and unannotated transcripts expressed in the brain, and was associated with alcohol consumption in theRIpanel. This module was found to be enriched with differentially expressed genes from the selected lines of rats. The candidate genes within the module and differentially expressed genes between high and low drinking selected lines were associated with glia (microglia and astrocytes) and could be categorized as being related to immune function, energy metabolism and calcium homeostasis, as well as glial–neuronal communication. The results of the present study show that there are multiple combinations of genetic factors that can produce the same phenotypic outcome. Although no single gene accounts for predisposition to a particular level of alcohol consumption in every animal model, coordinated differential expression of subsets of genes in the identified pathways produce similar phenotypic outcomes.Database: The datasets supporting the results of the present study are available athttp://phenogen.ucdenver.edu
27 December 2012 in Alcohol, Clinical and Experimental Research
Background Alcohol dependence (AD) is often accompanied by comorbid depression. Recent clinical evidence supports the benefit of subtype‐specific pharmacotherapy in treating the population of alcohol‐dependent subjects with comorbid major depressive disorder (MDD). However, in many alcohol‐dependent subjects, depression is a reactive response to chronic alcohol use and withdrawal and abates with a period of abstinence. Genetic markers may distinguish alcohol‐dependent subjects with MDD not tied chronologically and etiologically to their alcohol consumption. In this work, we investigated the association of adenylyl cyclase genes (ADCY1–9), which are implicated in both AD and mood disorders, with alcoholism and comorbid depression. Methods Subjects from Vienna, Austria (n =323) were genotyped, and single nucleotide polymorphisms (1,152) encompassing the genetic locations of the 9 ADCY genes were examined. The Vienna cohort contained alcohol‐dependent subjects differentiated using the Lesch Alcoholism Typology. In this typology, subjects are segregated into 4 types. Type III alcoholism is distinguished by co‐occurrence of symptoms of depression and by affecting predominantly females. Results We identified 4 haplotypes associated with the phenotype of Type III alcoholism in females. One haplotype was in a genomic area in proximity to ADCY2, but actually within a lincRNA gene, 2 haplotypes were within ADCY5, and 1 haplotype was within the coding region of ADCY8. Three of the 4 haplotypes contributed independently to Type III alcoholism and together generated a positive predictive value of 72% and a negative predictive value of 78% for distinguishing women with a Lesch Type III diagnosis versus women designated as Type I or II alcoholics. Conclusions Polymorphisms in ADCY8 and ADCY5 and within a lincRNA are associated with an alcohol‐dependent phenotype in females, which is distinguished by comorbid signs of depression. Each of these genetic locations can rationally contribute to the polygenic etiology of the alcoholism/depression phenotype, and the use of these genetic markers may aid in choosing appropriate and beneficial treatment strategies.