The Syntaxin Binding Protein 1 Gene (Stxbp1 ) Is a Candidate for an Ethanol Preference Drinking Locus on Mouse Chromosome 2

BACKGROUND

We previously mapped a quantitative trait locus (QTL) for ethanol preference drinking to mouse chromosome 2 (mapped with high confidence, LOD = 15.5, p = 3 x 10(-16)). The specific gene(s) in the QTL interval responsible for phenotypic variation in ethanol preference drinking has not been identified.

METHODS

In the current study, we investigated the association of the syntaxin binding protein 1 gene (Stxbp1) with ethanol preference drinking and other ethanol traits using a panel of B6 x D2 (BXD) recombinant inbred (RI) strains derived from the C57BL/6J (B6) and DBA/2J (D2) inbred mouse strains. Confirmation analyses for ethanol consumption and withdrawal were performed using a large B6D2 F2 cross, short-term selected lines derived from the B6 and D2 progenitor strains, and standard inbred strains.

RESULTS

BXD RI strain analysis detected provisional associations between Stxbp1 molecular variants and ethanol consumption, as well as severity of acute ethanol withdrawal, ethanol-conditioned taste aversion, and ethanol-induced hypothermia. Confirmation analyses using three independent genetic models supported the involvement of Stxbp1 in ethanol preference drinking but not in ethanol withdrawal.

CONCLUSIONS

Stxbp1 encodes a Sec1/Munc18-type protein essential for vesicular neurotransmitter release. The present study provides supporting evidence for the involvement of Stxbp1 in ethanol preference drinking.

Acute Alcohol Withdrawal is Associated with c-Fos Expression in the Basal Ganglia and Associated Circuitry: C57BL/6J and DBA/2J Inbred Mouse Strain Analyses

BACKGROUND

The DBA/2J (D2) and C57BL/6J (B6) mouse strains are the most widely studied genetic models of severe and mild acute alcohol withdrawal, respectively. Previous studies have identified quantitative trait loci and genes involved in risk for acute ethanol withdrawal using mapping populations derived from the D2 and B6 strains, but the brain region(s) and circuit(s) by which these genes and their protein products influence ethanol physiological dependence and associated withdrawal remain to be elucidated.

METHODS

B6 and D2 were administered a sedative-hypnotic dose of ethanol (4 g/kg) or saline (control) and returned to their home cages where they were left undisturbed for 7 hr, which has been shown in previous studies to correspond to peak acute ethanol withdrawal severity. The mice were then euthanized and assessed for their numbers of c-Fos immunoreactive neurons across 26 brain regions. The question addressed was whether or not ethanol-withdrawn D2 and B6 mice differed in c-Fos induction (neural activation) within circuitry that could explain the severe ethanol withdrawal of the D2 strain and the mild ethanol withdrawal in B6 strain mice.

RESULTS

At peak acute ethanol-withdrawal ethanol-withdrawn D2 and B6 mice differed in neural activation within the basal ganglia, including the subthalamic nucleus and the two major output nuclei of the basal ganglia (the medial globus pallidus and the substantia nigra pars reticulata). Genotype-dependent c-Fos induction was also apparent in associated circuitry including the lateral septum, the ventral tegmental area, the nucleus accumbens core, the dorsolateral caudate putamen, the substantia nigra pars compacta, the cingulate and entorhinal cortices, and the ventral pallidum. D2 and B6 mice showed comparable neural activation in the bed nucleus of the stria terminalis, and the nucleus accumbens shell.

CONCLUSIONS

The present studies are the first to use immediate early gene product expression to assess the pattern of neural activation associated with acute ethanol withdrawal. Our results point to the involvement of an extended basal ganglia circuit in genetically determined differences in acute ethanol withdrawal. Based on these data, we suggest that quantitative trait genes (QTGs) involved in acute ethanol withdrawal exert their effects on this phenotype via one or more of the brain regions and circuits identified. As more information becomes available that integrates neural circuit and QTG analyses, the precise mechanisms by which QTGs affect ethanol physiological dependence and associated withdrawal will become apparent.

Fine mapping of a sedative-hypnotic drug withdrawal locus on mouse chromosome 11

We have established that there is a considerable amount of common genetic influence on physiological dependence and associated withdrawal from sedative-hypnotic drugs including alcohol, benzodiazepines, barbiturates and inhalants. We previously mapped two loci responsible for 12 and 9% of the genetic variance in acute alcohol and pentobarbital withdrawal convulsion liability in mice, respectively, to an approximately 28-cM interval of proximal chromosome 11. Here, we narrow the position of these two loci to a 3-cM interval (8.8 Mb, containing 34 known and predicted genes) using haplotype analysis. These include genes encoding four subunits of the GABA(A) receptor, which is implicated as a pivotal component in sedative-hypnotic dependence and withdrawal. We report that the DBA/2J mouse strain, which exhibits severe withdrawal from sedative-hypnotic drugs, encodes a unique GABA(A) receptor gamma2 subunit variant compared with other standard inbred strains including the genetically similar DBA/1J strain. We also demonstrate that withdrawal from zolpidem, a benzodiazepine receptor agonist selective for alpha1 subunit containing GABA(A) receptors, is influenced by a chromosome 11 locus, suggesting that the same locus (gene) influences risk of alcohol, benzodiazepine and barbiturate withdrawal. Our results, together with recent knockout studies, point to the GABA(A) receptor gamma2 subunit gene (Gabrg2) as a promising candidate gene to underlie phenotypic differences in sedative-hypnotic physiological dependence and associated withdrawal episodes.

The Collaborative Cross, a community resource for the genetic analysis of complex traits

The goal of the Complex Trait Consortium is to promote the development of resources that can be used to understand, treat and ultimately prevent pervasive human diseases. Existing and proposed mouse resources that are optimized to study the actions of isolated genetic loci on a fixed background are less effective for studying intact polygenic networks and interactions among genes, environments, pathogens and other factors. The Collaborative Cross will provide a common reference panel specifically designed for the integrative analysis of complex systems and will change the way we approach human health and disease.

Selection for pentobarbital withdrawal severity: correlated differences in withdrawal from other sedative drugs

In mice, withdrawal from agents that depress central nervous system function, such as barbiturates and benzodiazepines, results in the production of a withdrawal syndrome, one feature of which is increased severity of handling induced convulsions (HICs). High and Low Pentobarbital Withdrawal mice (HPW and LPW) were selectively bred to display severe and mild pentobarbital withdrawal HICs, respectively. These mice provide a valuable means to assess genetic correlations between withdrawal from pentobarbital and other sedative agents. We tested HPW and LPW mice for severity of HICs elicited during withdrawal from ethanol, diazepam, and zolpidem, and measured consumption of and preference for pentobarbital solutions in HPW and LPW mice. HPW mice displayed greater HICs than LPW mice during ethanol and zolpidem withdrawal, but differed less robustly during diazepam withdrawal. LPW mice consumed more pentobarbital in a solution of a moderate concentration than did HPW mice, but did not consume more pentobarbital at a higher or lower concentration. These results indicate that some of the same genes that affect the severity of withdrawal from pentobarbital also influence ethanol and zolpidem withdrawal, but that diazepam withdrawal may be less influenced by these genes.

Mpdz is a quantitative trait gene for drug withdrawal seizures

Physiological dependence and associated withdrawal episodes can constitute a powerful motivational force that perpetuates drug use and abuse. Using robust behavioral models of drug physiological dependence in mice, positional cloning, and sequence and expression analyses, we identified an addiction-relevant quantitative trait gene, Mpdz. Our findings provide a framework to define the protein interactions and neural circuit by which this gene's product (multiple PDZ domain protein) affects drug dependence, withdrawal and relapse.

Potential pleiotropic effects of Mpdz on vulnerability to seizures

We previously mapped quantitative trait loci (QTL) responsible for approximately 26% of the genetic variance in acute alcohol and barbiturate (i.e., pentobarbital) withdrawal convulsion liability to a < 1 cM (1.8 Mb) interval of mouse chromosome 4. To date, Mpdz, which encodes the multiple PSD95/DLG/ZO-1 (PDZ) domain protein (MPDZ), is the only gene within the interval shown to have allelic variants that differ in coding sequence and/or expression, making it a strong candidate gene for the QTL. Previous work indicates that Mpdz haplotypes in standard mouse strains encode distinct protein variants (MPDZ1-3), and that MPDZ status is genetically correlated with severity of withdrawal from alcohol and pentobarbital. Here, we report that MPDZ status cosegregates with withdrawal convulsion severity in lines of mice selectively bred for phenotypic differences in severity of acute withdrawal from alcohol [i.e., High Alcohol Withdrawal (HAW) and Low Alcohol Withdrawal (LAW) lines] or pentobarbital [High Pentobarbital Withdrawal (HPW) and Low Pentobarbital Withdrawal (LPW) lines]. These analyses confirm that MPDZ status is associated with severity of alcohol and pentobarbital withdrawal convulsions. Using a panel of standard inbred strains of mice, we assessed the association between MPDZ status with seizures induced by nine chemiconvulsants. Our results show that MPDZ status is genetically correlated with seizure sensitivity to pentylenetetrazol, kainate and other chemiconvulsants. Our results provide evidence that Mpdz may have pleiotropic effects on multiple seizure phenotypes, including seizures associated with withdrawal from two classes of central nervous system (CNS) depressants and sensitivity to specific chemiconvulsants that affect glutaminergic and GABAergic neurotransmission.

Serotonin 5-HT2 Receptors and Alcohol: Reward, Withdrawal and Discrimination

This article represents the proceedings of a symposium at the 2003 Research Society on Alcoholism meeting in Fort Lauderdale, Florida. The organizer was Karl J. Buck, and the chairperson was Mark S. Brodie. The presentations were (1) The Multiple PDZ Domain Protein May Mediate Genetic Differences in Ethanol Withdrawal Severity Via Interaction With 5-HT2 Receptors, by Matthew T. Reilly and Kari J. Buck; (2) The Ionic Mechanism of Serotonin Potentiation of Ethanol Excitation of Ventral Tegmental Area Neurons, by Mark S. Brodie; and (3) 5-HT(2C) Receptor Agonists in the Discriminative Stimulus Effects of Ethanol, by Laura M. Rogers, Ken Szeliga, and Kathleen Grant.

The nature and identification of quantitative trait loci: a community's view

This white paper by eighty members of the Complex Trait Consortium presents a community's view on the approaches and statistical analyses that are needed for the identification of genetic loci that determine quantitative traits. Quantitative trait loci (QTLs) can be identified in several ways, but is there a definitive test of whether a candidate locus actually corresponds to a specific QTL?

Evaluation of the glutamate decarboxylase genes Gad1 and Gad2 as candidate genes for acute ethanol withdrawal severity in mice

Previous studies in crosses between the C57BL/6J (B6) and the DBA/2J (D2) mice have implicated a role of the genes encoding for the 67- and 65-kDa isoforms of the glutamate decarboxylase (Gad1 and Gad2) in the manifestation and severity of multiple ethanol-related traits such as acute ethanol withdrawal severity [Buck, K.J., Metten, P., Belknap, J.K., Crabbe, J.C., 1997. Quantitative trait loci involved in genetic predisposition to acute alcohol withdrawal in mice. J. Neurosci. 17, 3946-3955], ethanol preference [Phillips, T.J., Belknap, J.K., Buck, K.J., Cunningham, C.L., 1998. Genes on mouse chromosomes 2 and 9 determine variation in ethanol consumption. Mamm. Genome 9, 936-941] and ethanol-induced locomotion [Demarest, K., McCaughran Jr., J., Mahjubi, E., Cipp, L., Hitzemann, R., 1999. Identification of an acute ethanol response quantitative trait locus on mouse chromosome 2. J. Neurosci. 19, 549-561]. Strain-specific sequencing experiments as well as gene expression studies in drug-naive and ethanol-treated D2 and B6 mice were carried out. The Gad1 sequence was similar, the Gad2 cDNA carried only a silent polymorphism (1017 G>C) between both strains. In addition, no significant GAD65 or GAD67 expression differences were detected in either drug-nai;ve or acute ethanol withdrawn animals by Western blot experiments. Therefore, these results do not support the hypothesis of an involvement of Gad1 or Gad2 in the pathophysiology of acute ethanol withdrawal severity and the other ethanol related traits.

In silico discovery of gene-coding variants in murine quantitative trait loci using strain-specific genome sequence databases

BACKGROUND

The identification of genes underlying complex traits has been aided by quantitative trait locus (QTL) mapping approaches, which in turn have benefited from advances in mammalian genome research. Most recently, whole-genome draft sequences and assemblies have been generated for mouse strains that have been used for a large fraction of QTL mapping studies. Here we show how such strain-specific mouse genome sequence databases can be used as part of a high-throughput pipeline for the in silico discovery of gene-coding variations within murine QTLs. As a test of this approach we focused on two QTLs on mouse chromosomes 1 and 13 that are involved in physical dependence on alcohol.

RESULTS

Interstrain alignment of sequences derived from the relevant mouse strain genome sequence databases for 199 QTL-localized genes spanning 210,020 base-pairs of coding sequence identified 21 genes with different coding sequences for the progenitor strains. Several of these genes, including four that exhibit strong phenotypic links to chronic alcohol withdrawal, are promising candidates to underlie these QTLs.

CONCLUSIONS

This approach has wide general utility, and should be applicable to any of the several hundred mouse QTLs, encompassing over 60 different complex traits, that have been identified using strains for which relatively complete genome sequences are available.

Ethanol-sensitive sites on the human dopamine transporter

Previous studies have shown that ethanol enhanced [(3)H]dopamine uptake in Xenopus oocytes expressing the dopamine transporter (DAT). This increase in DAT activity was mirrored by an increase in the number of transporters expressed at the cell surface. In the present study, ethanol potentiated the function of DAT expressed in HeLa cells but inhibited the function of the related norepinephrine transporter (NET). Chimeras generated between DAT and NET were examined for ethanol sensitivity and demonstrated that a 76-amino acid region spanning transmembrane domains (TMD) 2 and 3 was essential for ethanol potentiation of DAT function. The second intracellular loop between TMD 2 and 3 of DAT, which differs from that of NET by four amino acids, was explored for possible sites of ethanol action. Site-directed mutagenesis was used to replace each of these residues in DAT with the corresponding residue in NET, and the resulting cRNA were expressed in Xenopus oocytes. We found that mutations G130T or I137F abolished ethanol potentiation of DAT function, whereas the mutations F123Y and L138F had no significant effect. These results identify novel sites in the second intracellular loop that are important for ethanol modulation of DAT activity.

Congenic mapping of alcohol and pentobarbital withdrawal liability loci to a <1 centimorgan interval of murine chromosome 4: identification of Mpdz as a candidate gene

Risk for onset of alcoholism is related to genetic differences in acute alcohol withdrawal liability. We previously mapped a locus responsible for 26% of the genetic variance in acute alcohol withdrawal convulsion liability to a >35 centimorgan (cM) interval of murine chromosome 4. Here, we narrow the position of this locus to a <1 cM interval (approximately 1.8 megabase, containing 15 genes and/or predicted genes) using a combination of novel, interval-specific congenic strains and recombinant progeny testing. We report the development of a small-donor-segment congenic strain, which confirms capture of a gene affecting alcohol withdrawal within the <1 cM interval. We also confirm a pentobarbital withdrawal locus within this interval, suggesting that the same gene may influence predisposition to physiological dependence on alcohol and a barbiturate. This congenic strain will be invaluable for determining whether this interval also harbors a gene(s) underlying other quantitative trait loci mapped to chromosome 4, including loci affecting voluntary alcohol consumption, alcohol-induced ataxia, physical dependence after chronic alcohol exposure, and seizure response to pentylenetetrazol or an audiogenic stimulus. To date, Mpdz, which encodes the multiple PSD95/DLG/ZO-1 (PDZ) domain protein (MPDZ), is the only gene within the interval shown to have allelic variants that differ in coding sequence and/or expression. Sequence analysis of 15 standard inbred mouse strains identifies six Mpdz haplotypes that predict three MPDZ protein variants. These analyses, and evidence using interval-specific congenic lines, show that alcohol withdrawal severity is genetically correlated with MPDZ status, indicating that MPDZ variants may influence alcohol withdrawal liability.

Mapping murine loci for physical dependence on ethanol

RATIONALE

Alcoholism is associated with withdrawal (physical dependence), tolerance, or a maladaptive pattern of alcohol (ethanol) use. The well-documented difference in susceptibility to withdrawal after chronic ethanol exposure between the C57BL/6J and DBA/2J mouse strains provides an excellent starting point for dissecting genetic influences involved in physical dependence on ethanol. A quantitative trait locus (QTL) identifies the genomic location of a gene (or genes) affecting a trait of interest.

OBJECTIVES

A genome-wide QTL mapping study was carried out to dissect the multifactorial nature of withdrawal after chronic ethanol exposure using 400 B6D2F2 mice.

METHODS

To induce physical dependence, we used a standard paradigm in which mice were exposed to ethanol vapor for 72 h. The mice were then tested hourly for handling-induced convulsions (HICs) for 10 h and at hours 24 and 25. Ethanol withdrawal severity was first computed as the area under the 25-h HIC curve. Separate regression residuals were then calculated that corrected for individual differences in blood ethanol concentration at the time of withdrawal and baseline HIC severity (i.e. before ethanol exposure).

RESULTS

Statistical mapping yielded significant evidence ( P<0.00005) for QTLs on chromosomes 19 and distal 1 that account for 45% of the genetic variance in ethanol withdrawal severity. The F2 results also provide supporting evidence for a sex-limited QTL on chromosome 13, and QTLs on chromosomes 4 and proximal 1, which may account for an additional 38% of the genetic variance. The distal chromosome 1 QTL is a locus of major effect, accounting for 26% of the genetic variance. Experiments using two congenic strains more precisely mapped this QTL.

CONCLUSIONS

The QTLs map near candidate genes involved in neurosteroid biosynthesis and signal transduction. Syntenic homology between human and mouse chromosomes suggests that genes related to physical dependence on ethanol may localize to human chromosome regions 10q23-q26, 1q21-q43, 2q11-q32, 5p15/5q14-q21, and 9p24-p22.

Harnessing the mouse to unravel the genetics of human disease

Complex traits, i.e. those with multiple genetic and environmental determinants, represent the greatest challenge for genetic analysis, largely due to the difficulty of isolating the effects of any one gene amid the noise of other genetic and environmental influences. Methods exist for detecting and mapping the Quantitative Trait Loci (QTLs) that influence complex traits. However, once mapped, gene identification commonly involves reduction of focus to single candidate genes or isolated chromosomal regions. To reach the next level in unraveling the genetics of human disease will require moving beyond the focus on one gene at a time, to explorations of pleiotropism, epistasis and environment-dependency of genetic effects. Genetic interactions and unique environmental features must be as carefully scrutinized as are single gene effects. No one genetic approach is likely to possess all the necessary features for comprehensive analysis of a complex disease. Rather, the entire arsenal of behavioral genomic and other approaches will be needed, such as random mutagenesis, QTL analyses, transgenic and knockout models, viral mediated gene transfer, pharmacological analyses, gene expression assays, antisense approaches and importantly, revitalization of classical genetic methods. In our view, classical breeding designs are currently underutilized, and will shorten the distance to the target of understanding the complex genetic and environmental interactions associated with disease. We assert that unique combinations of classical approaches with current behavioral and molecular genomic approaches will more rapidly advance the field.

Expression profiling identifies strain-specific changes associated with ethanol withdrawal in mice

Mice that exhibit characteristics of physical dependence following ethanol exposure serve as useful models of alcoholism in humans. The DBA/2J and C57BL/6J inbred strains differ in their behavioral response to ethanol withdrawal. Alterations in gene expression are believed to underlie neuroadaptation to ethanol dependence and tolerance. Therefore, the differences in ethanol withdrawal severity observed between the DBA/2J and C57BL/6J strains may be related to differential regulation of gene expression. We have used cDNA microarrays to determine the gene expression profile in the hippocampus of DBA/2J and C57BL/6J mice during withdrawal after chronic and acute ethanol exposure. Of the 7634 genes surveyed, approximately 2% were consistently differentially expressed by at least 1.4-fold in DBA/2J mice during chronic ethanol withdrawal. Less than 1% of the genes showed altered expression in C57BL/6J mice under the same conditions, or in DBA/2J mice during acute ethanol withdrawal. Strain- and treatment-specific patterns of altered expression were observed for multiple genes associated with the Janus kinase/signal transducers and activators of transcription and the mitogen activated protein kinase pathways. Genes associated with both pathways are regulated in DBA/2J mice during chronic ethanol withdrawal, and to a lesser extent during acute ethanol withdrawal. Only those genes associated with the mitogen-activated protein kinase (MAPK) pathway exhibited changes in expression in C57BL/6J mice during ethanol withdrawal. Furthermore, genes associated with retinoic acid-mediated signaling show differential expression exclusively in C57BL/6J mice. These findings represent significant differences in cellular adaptation to ethanol between the DBA/2J and C57BL/6J strains.

Alcohol actions on GABA(A) receptors: from protein structure to mouse behavior

This article represents the proceedings of a symposium at the 2000 ISBRA Meeting in Yokohama, Japan. The chairs were R. Adron Harris and Susumu Ueno. The presentations were (1) Protein kinase Cepsilon-regulated sensitivity of gamma-aminobutyric acid type A (GABAA) receptors to allosteric agonists, by Robert O. Messing, A. M. Sanchez-Perez, C. W. Hodge, T. McMahon, D. Wang, K. K. Mehmert, S. P. Kelley, A. Haywood, and M. F. Olive; (2) Genetic and functional analysis of a GABAA receptor gamma2 subunit variant: A candidate for quantitative trait loci involved in alcohol sensitivity and withdrawal, by Kari J. Buck and Heather M. Hood; (3) Tryptophan-scanning mutagenesis in GABAA receptor subunits: Channel gating and alcohol actions, by Susumu Ueno; and (4) Can a single binding site account for actions of alcohols on GABAA and glycine receptors? by R. Adron Harris, Yuri Blednov, Geoffrey Findlay, and Maria Paola Mascia.

Genomewide search for epistasis in a complex trait: pentobarbital withdrawal convulsions in mice

The well-documented difference in pentobarbital withdrawal severity between DBA/2J and C57BL/6J mice offers the opportunity to study how differences between allelic variants influence pentobarbital withdrawal via their additive and/or dominance effects and to identify modifier loci that also influence the trait via gene-gene interactions (a form of epistasis). Previous work in our laboratory identified seven provisional quantitative trait loci (QTLs) for pentobarbital withdrawal using BXD recombinant inbred strains. To date, only one of these QTLs has been confirmed, Pbw1. We hypothesized that other loci that act epistatically may also influence genetic variance in pentobarbital withdrawal severity. Using Epistat, a program developed to carry out full-genome searches for epistasis, we identified six provisional epistatic interactions (p < .002) between the provisional QTLs and modifier loci elsewhere in the genome. Verification testing of these interactions using 404 B6D2F2 mice provided supporting evidence that a QTL on chromosome 11 contributes to genetic variance in pentobarbital withdrawal, but only in the presence of a modifier allele on distal chromosome 1 (p = .0004). This modifier is in the same genomic vicinity as loci detected for a variety of withdrawal and seizure phenotypes.

Genetic factors in addiction: QTL mapping and candidate gene studies implicate GABAergic genes in alcohol and barbiturate withdrawal in mice

Quantitative trait locus (QTL) mapping has allowed dramatic progress toward the detection and chromosome mapping of minor and major gene loci involved in murine responses to alcohol and other drugs of abuse. Here we focus on the identification of QTLs for one particular trait relevant to addiction, drug withdrawal following acute or chronic drug administration. To date, five significant QTLs (p < 5 x 10(-5)) and six suggestive QTLs (p < 0.001) have been mapped to specific murine chromosomes for alcohol and pentobarbital withdrawal, indicating the presence of a relevant gene or genes at each location. Overlapping QTLs for alcohol withdrawal and pentobarbital withdrawal are identified on murine chromosomes 1, 4, and 11, and may detect the influence of common genes. For many QTLs, candidate genes with relevant neurobiological function lie within the mapped region. Notably, several QTLs for alcohol and pentobarbital withdrawal are in proximity to genes that directly or indirectly affect GABAA receptor-mediated transmission, which has been implicated in some of the actions of alcohol and other drugs. These include a cluster of GABAA receptor genes and genes encoding the enzymes steroid 5 alpha-reductase-1 (involved in biosynthesis of the neuroactive steroid allopregnanolone) and glutamic acid decarboxylase-1 (involved in GABA biosynthesis). This paper will discuss data that examines the involvement of GABAergic genes in withdrawal and other drug responses, including genetic variation in gene sequence, expression and function.

QTL analysis and genomewide mutagenesis in mice: complementary genetic approaches to the dissection of complex traits

Quantitative genetics and quantitative trait locus (QTL) mapping have undergone a revolution in the last decade. Progress in the next decade promises to be at least as rapid, and strategies for fine-mapping QTLs and identifying underlying genes will be radically revised. In this Commentary we address several key issues: first, we revisit a perennial challenge--how to identify individual genes and allelic variants underlying QTLs. We compare current practice and procedures in QTL analysis with novel methods and resources that are just now being introduced. We argue that there is no one standard of proof for showing QTL = gene; rather, evidence from several sources must be carefully assembled until there is only one reasonable conclusion. Second, we compare QTL analysis with whole-genome mutagenesis in mice and point out some of the strengths and weakness of both of these phenotype-driven methods. Finally, we explore the advantages and disadvantages of naturally occurring vs mutagen-induced polymorphisms. We argue that these two complementary genetic methods have much to offer in efforts to highlight genes and pathways most likely to influence the susceptibility and progression of common diseases in human populations.

GABA(A) receptor beta(2) subunit mRNA content is differentially regulated in ethanol-dependent DBA/2J and C57BL/6J mice

Chronic ethanol treatment is known to alter gene expression and function of gamma-aminobutyric acid type-A (GABA(A)) receptors. Here we focus on the beta(2) subunit which is widely expressed in the mammalian brain, and plays a key role in the GABA binding site. Previous studies using rodent models of ethanol dependence show either increased or no change of beta(2) subunit mRNA and peptide content following chronic ethanol administration. In humans, polymorphism at the beta(2) subunit is associated with ethanol dependence in some, but not all, populations. In the present study we measured mRNA content in the cerebellum and cerebral cortex using ethanol-naive and ethanol-dependent DBA/2J and C57BL/6J mice. The DBA/2J strain displays severe ethanol withdrawal severity, while the C57BL/6J strain shows milder withdrawal reactions. RNase protection analysis demonstrated that the DBA/2J strain is more sensitive to ethanol-induced increases in beta(2) subunit mRNA content in the cerebellum, showing significant increases at lower blood ethanol concentrations than C57BL/6J mice. The ethanol-induced regulation in C57BL/6J mice appears to be more complex, with decreases in beta(2) subunit mRNA content at low blood ethanol concentrations, and increases at higher concentrations. These data suggest that differences between C57BL/6J and DBA/2J mice in the degree of physical dependence (withdrawal) on ethanol may be related to differential sensitivity to ethanol regulation of beta(2) subunit expression.

Allelic variation in the GABA A receptor gamma2 subunit is associated with genetic susceptibility to ethanol-induced motor incoordination and hypothermia, conditioned taste aversion, and withdrawal in BXD/Ty recombinant inbred mice

BACKGROUND

Behavioral genomics has made dramatic progress toward mapping quantitative trait loci (QTLs) that contain genes responsible for phenotypic differences in a variety of behavioral responses to alcohol (ethanol). We previously identified a QTL on mouse Chromosome 11 that affects genetic predisposition to acute alcohol withdrawal. Among mice derived from the C57BL/6J (B6) and DBA/2J (D2) inbred strains, this QTL (Alcw3) accounts for 12% of the genetic variability in withdrawal liability. Candidate genes within this QTL encode the gamma-aminobutyric acid type A (GABA A) receptor gamma2, alpha1, alpha6, and beta2 subunits. We recently identified a coding sequence polymorphism between the B6 and D2 strains for the GABA A receptor gamma2 subunit gene (Gabrg2). In this study, we expand our analysis to a panel of BXD strains derived from the B6 and D2 progenitor strains. These BXD strains provide 26 fixed recombinant genotypes that can be used to examine genetic correlations, for example, between a phenotype of interest and allelic variation in a candidate gene.

METHODS

Gabrg2 was cloned and sequenced from the 26 BXD recombinant inbred strains. We analyzed genetic correlations between allelic variation in Gabrg2 and alcohol phenotypes previously measured in the BXD strain means.

RESULTS

Allelic variation in Gabrg2 is correlated genetically with predisposition to acute alcohol withdrawal and may underlie the Alcw3 locus. In addition, Gabrg2 is associated with ethanol-conditioned taste aversion, ethanol-induced motor incoordination, and ethanol-induced hypothermia. A trend is observed for chronic ethanol withdrawal, ethanol-induced loss of righting reflex, and tolerance to ethanol-induced hypothermia and ataxia.

CONCLUSIONS

Functionally relevant variation in Gabrg2, or a closely linked gene, is correlated genetically with some, but not all, behavioral responses to alcohol. The alcohol-related phenotypes associated with Gabrg2 generally may be characterized as debilitating or motivationally negative.

Identifying genes for alcohol and drug sensitivity: recent progress and future directions

New methods for identifying chromosomal regions containing genes that affect murine responses to alcohol and drugs have been used to identify many provisional quantitative trait loci (QTLs) since 1991. By 1998, 24 QTLs had been definitively mapped (P<5x10(-5)) to specific murine chromosomes, which indicates the presence of a relevant gene or genes at each location. The syntenic (homologous) region of the human genome for these genes is often known. For many mapped QTLs, candidate genes with relevant neurobiological function lie within the mapped region. Data that implicate candidate genes for specific responses include studies of knockout animals. Current strategies for gene identification include the use of congenic strains containing QTL regions introduced from another strain. There is increasing emphasis on gene-gene and gene-environment interactions in such studies.