Alcohol Research: Current Reviews, Volume 34, Issue Number 3
Discovering Genes Involved in Alcohol Dependence and Other Alcohol Responses
Role of Animal Models
Kari J. Buck, Ph.D.; Lauren C. Milner, Ph.D.; Deaunne L. Denmark, M.D., Ph.D.; Seth G.N. Grant, Ph.D.; and Laura B. Kozell, Ph.D.
Kari J. Buck, Ph.D., is a professor of behavioral neuroscience at the Oregon Health & Science University and a research scientist at the Department of Veterans Affairs Medical Center, Portland, Oregon.
Deaunne L. Denmark, M.D., Ph.D., and Laura B. Kozell, Ph.D., are senior research associates, both at the Portland Alcohol Research Center and Department of Behavioral Neuroscience, Department of Veterans Affairs Medical Center and Oregon Health & Science University, Portland, Oregon.
Lauren C. Milner, Ph.D., is a postdoctoral fellow at Stanford University, Palo Alto, California.
Seth G.N. Grant, Ph.D., is a professor of molecular neuroscience at the Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
The genetic determinants of alcoholism still are largely unknown, hindering effective treatment and prevention. Systematic approaches to gene discovery are critical if novel genes and mechanisms involved in alcohol dependence are to be identified. Although no animal model can duplicate all aspects of alcoholism in humans, robust animal models for specific alcohol-related traits, including physiological alcohol dependence and associated withdrawal, have been invaluable resources. Using a variety of genetic animal models, the identification of regions of chromosomal DNA that contain a gene or genes which affect a complex phenotype (i.e., quantitative trait loci [QTLs]) has allowed unbiased searches for candidate genes. Several QTLs with large effects on alcohol withdrawal severity in mice have been detected, and fine mapping of these QTLs has placed them in small intervals on mouse chromosomes 1 and 4 (which correspond to certain regions on human chromosomes 1 and 9). Subsequent work led to the identification of underlying quantitative trait genes (QTGs) (e.g., Mpdz) and high-quality QTG candidates (e.g., Kcnj9 and genes involved in mitochondrial respiration and oxidative stress) and their plausible mechanisms of action. Human association studies provide supporting evidence that these QTLs and QTGs may be directly relevant to alcohol risk factors in clinical populations.
Key words: Alcoholism; alcohol dependence; alcohol withdrawal; risk factors; genetic factors; genetic theory of AODU; genetic trait; DNA; QTL mapping; quantitative trait loci (QTLs); quantitative trait genes (QTGs); animal models
A host of biological (i.e., genetic) and environmental factors interact throughout the addictive process to influence alcohol use and abuse. These processes are accompanied by a number of behavioral and neural events that include, but are not limited to, changes in the motivational effects of ethanol (both rewarding and aversive), tolerance to some effects of ethanol, and withdrawal when ethanol use is discontinued (Koob and Le Moal 2008). The role of genetics in individual differences in the degree and/or the rate of development of all such changes clearly has been illustrated in human genetic studies as well as studies using genetic animal models (for reviews, see Crabbe 2008 and references therein; Heath et al. 2011 and references therein). Although a few genes consistently have demonstrated a role in alcoholism or associated characteristics (i.e., subclinical markers known as endophenotypes) in human studies, their identification has relied heavily on prior knowledge of the physiological responses to alcohol. Thus, these genes primarily encode alcohol- metabolizing enzyme isoforms and neurotransmitter receptor subunits, both of which already had been known to be affected by alcohol (for more information, see the articles by Hurley and Edenberg, pp. 339–344, and by Borghese and Harris, pp. 345–354, in this issue). Moreover, the genetic variants identified to date do not wholly explain the complex genetic susceptibility to alcoholism. Accordingly, researchers need unbiased, systematic approaches to gene discovery in order to discover novel genes and mechanisms and translate them into improved treatment and prevention approaches. One promising approach to achieving this is to conduct genome-wide association studies (GWASs). However, human GWASs require large sample sizes to identify alcoholism susceptibility genes, and the studies published to date have been underpowered and show limited replicability (for a review, see Treutlein and Reitschel 2011 and references therein).
The use of preclinical (i.e., animal) models that closely approximate the clinical situation has been essential for elucidating genetic factors involved in the response to alcohol. Although no animal model can exactly duplicate alcoholism in humans, robust animal models for specific alcohol-related traits are useful for identifying potential determinants of liability in humans. These models include, but certainly are not limited to, the following:
- Animal models of ethanol self-administration, given that excessive ethanol consumption is a hallmark of alcohol use disorders in humans;
- Models of conditioned place preference and conditioned taste aversion to assess the motivational (i.e., rewarding and aversive) effects of ethanol;
- Models of ethanol sensitivity, because evidence from human studies indicates that sensitivity to the intoxicating effects of ethanol is a marker of genetic susceptibility to develop alcohol dependence; and
- Models of withdrawal, because physiological dependence on alcohol and associated withdrawal symptoms are thought to constitute a motivational force that perpetuates alcohol use and abuse.
For recent publications that address potential consilience between human alcohol dependence and animal models in more depth, the reader is referred to Crabbe and colleagues (2010), Ehlers and colleagues (2010), and Sher and colleagues (2010).
Studies using robust animal, and particularly mouse, models have been fundamental to unbiased searches for genetic determinants of ethanol responses. For example, researchers have used such models to detect and map quantitative trait loci (QTLs)—chromosomal regions containing or linked to the genes that underlie a quantitative, complex trait. These approaches have identified significant and suggestive QTLs for ethanol sensitivity (e.g., Bennett et al. 2006; Downing et al. 2006; Palmer et al. 2006), consumption (e.g., Belknap and Atkins 2001; Boyle and Gill 2008; Hitzemann et al. 2009; Phillips et al. 1998, 2010;Tarantino et al. 1998), withdrawal (Buck et al. 1997, 2002), conditioned aversion (Risinger and Cunningham 1998), conditioned place preference (Cunningham 1995), and tolerance (e.g., Bennett et al. 2007; Crabbe et al. 1994; Drews et al. 2010; Kirstein et al. 2002). The identification of specific genes (i.e., quantitative trait genes [QTGs], which carry allelic variations in the DNA that affect their expression and/or the structure of the product that they code for) that underlie QTL phenotypic effects and elucidation of their mechanisms of action is a crucial next step in the translation of such preclinical research.
Successful strategies to identify genes involved in alcohol dependence and other alcohol-related responses most often have relied upon evidence from several sources (e.g., Shirley et al. 2004). This article summarizes the detection, confirmation, and fine mapping of several QTLs that have large effects on ethanol withdrawal in mice using a variety of approaches, including robust behavioral models of physiological dependence and associated withdrawal following acute and chronic ethanol exposure, positional cloning, sequence and expression analyses, and novel genetic animal models. In addition, the article discusses progress toward the identification of the underlying QTGs, their mechanisms of action, and their potential broader effects on behavioral responses to ethanol.
QTLs and QTGs Associated With Alcohol Dependence and Other Alcohol Effects
The Mpdz Gene
Using a robust behavioral model of physiological dependence, Buck and colleagues (1997) identified a QTL on chromosome 4 that accounts for up to 26 percent of the genetic variance in withdrawal-associated convulsions following acute and chronic ethanol exposure in mice. Positional cloning using novel interval-specific congenic mouse strains1 narrowed this QTL to a 1.8-Mb interval with conserved colocalization of genes (i.e., shared synteny) on human chromosome 9p23–p22.3.2 Detailed expression and sequence analyses subsequently identified a single QTG candidate, Mpdz, which encodes a protein called multi-PDZ domain protein (MPDZ/ MUPP1) (Shirley et al. 2004). Standard inbred and congenic strain analyses suggested that lower Mpdz expression and/or certain variations in the amino acid sequence of the encoded MPDZ protein were associated with more severe ethanol withdrawal (Fehr et al. 2002, 2004; Shirley et al. 2004). However, direct evidence that Mpdz affects ethanol withdrawal behavior in the intact organism (i.e., in vivo) currently is lacking. Investigators now are addressing this issue in ongoing studies using novel animal models in which either a foreign Mpdz gene has been introduced (i.e., MPDZ transgenic [MPDZ-TG] mice) or in which Mpdz expression has been reduced (i.e., knockout [MPDZ-KO] mice). The MPDZ-TG animals show increased Mpdz expression compared with their wild-type (WT), non-TG littermates. Ongoing studies suggest that withdrawal-related hyperexcitability of the central nervous system (CNS), which can be assessed using handling- induced convulsions, may be less severe in MPDZ-TG mice than in WT littermates—in other words, the animals with increased MPDZ expression experience less severe withdrawal. Conversely, ongoing studies indicate that MPDZ-KO heterozygotes, which exhibit reduced MPDZ expression, may show more severe ethanol withdrawal than WT littermates. Thus, it seems that an inverse relationship exists between Mpdz expression and withdrawal severity. However, other studies have suggested that different variants of the Mpdz gene exist, resulting in variations in MPDZ protein structure that also may affect withdrawal severity (Fehr et al. 2002). Thus, it still is unclear whether one or both of these mechanisms underlie the effect of Mpdz on alcohol withdrawal. Nevertheless, because the strengths of the MPDZ-TG approach complement the limitations of the MPDZ-KO approach and vice versa, the finding that both approaches support a role for MPDZ in ethanol withdrawal is compelling.
Currently, little is known about how MPDZ function relates to alcohol dependence and withdrawal. PDZ-domain proteins regulate numerous aspects of the fate of proteins in the cell (e.g., targeting them to their appropriate location in the cell, stabilization in membranes, retention in a cell component called the endoplasmic reticulum, and endocytosis). MPDZ physically associates with certain proteins involved in brain signaling (i.e., neurotransmitter) systems. These include the following:
- Receptors for the neurotransmitter serotonin (5-HT) (e.g., the 5-HT2C receptor) (Becamel et al. 2001);
- A receptor for the neurotransmitter γ-aminobutyric acid (GABA) (i.e., the GABAB receptor) (Balasubramanian et al. 2007); and
- A protein called synaptic GTPase-activating protein (SynGAP). Through this association, MPDZ is involved in regulating the functions of the neurotransmitter glutamate, because after binding to SynGAP, MPDZ interacts (i.e., complexes) with one type of glutamate receptor (i.e., NR2B-containing NMDA receptors) to regulate the function of another type of glutamate receptor (i.e., synaptic AMPA receptors) (Krapivinsky et al. 2004).
MPDZ may affect withdrawal by altering the rate and/or fidelity of signal transduction mediated by one or more of the proteins with which it associates, particularly through its effects in a brain region(s) relevant to withdrawal. The striatum appears to be one such region, as ethanol-withdrawal– associated activation of this brain region is related to MPDZ status (Chen and Buck 2010). Within the striatum, virtually all neurons activated in alcohol-withdrawn mice produce both MPDZ and the 5-HT2C receptor, and 30 percent of neurons also produce SynGAP (Chen and Buck 2010). Analyses of inbred mouse strains have indicated that MPDZ status is genetically correlated with convulsions induced by certain chemicals, with some of the strongest genetic correlations observed for chemicals affecting signaling pathways involving glutamate (Fehr et al. 2004). For example, two mouse strains known as C57BL/6J and DBA/2J differ both in the MPDZ variant they carry, affecting both MPDZ expression and structure (Shirley et al. 2004; Fehr et al. 2002), and markedly in handling-induced convulsions in response to agents that modify glutamate signaling (Fehr et al. 2004). Further, MPDZ congenic mice, which possess the QTL interval containing Mpdz from the C57BL/6J strain in a genetic background that is more than 99 percent DBA/2J DNA, demonstrate less severe ethanol withdrawal (Fehr et al. 2002) and less severe handling-induced convulsions than DBA/2J mice in response to a 5-HT2C receptor blocker (i.e., SB242084) and a drug that activates GABAB receptors (i.e., baclofen), but not in response to a GABAA receptor channel blocker (Reilly et al. 2008). These findings indicate that MPDZ does not regulate seizure susceptibility in general and suggest that MPDZ may affect ethanol-withdrawal–associated CNS hyperexcitability through its effects on glutamate, 5-HT2C, and/or GABAB receptor function. Ongoing neurophysiological studies using MPDZ genetic models can address this issue to provide mechanistic information.
The Kcnj9 Gene
Buck and colleagues (1997, 2002) also identified a QTL on mouse chromosome 1 that accounts for 26 percent of the genetic variance in ethanol withdrawal convulsions in mice. Positional cloning using interval-specific congenic strains narrowed this QTL to a 0.44-Mb interval syntenic with human chromosome 1q23.2 (Kozell et al. 2009). This chromosome region contains a gene called Kcnj9 which may be the QTG underlying this QTL. DBA/2J and chromosome 1 congenic mice (which possess a small QTL interval containing Kcnj9 from the DBA/2J strain in a genetic background that is more than 99 percent C57BL/6J DNA) exhibit significantly more severe withdrawal from ethanol and other sedative drugs of abuse than C57BL/6J mice. Further, Kcnj9 expression in the brain is significantly greater in chromosome 1 congenic and DBA/2J mice compared with C57BL/6J mice (Kozell et al. 2009). Additionally, mice in which the Kcnj9 gene has been knocked out demonstrate less severe withdrawal than their WT littermates (Kozell et al. 2009). Kcnj9 encodes a protein called GIRK3, which forms a subunit of a family of ion channels (i.e., G-protein–dependent inwardly-rectifying K+ channels) that are gated by G-proteins. GIRK channels primarily mediate the inhibitory effects of certain G-protein– coupled neurotransmitter receptors (Luscher et al. 1997).
Currently, little is known about GIRK3 function in the brain and the mechanism by which it can affect withdrawal. GIRK3 is widely expressed in the brain and forms ion channels together with the related GIRK2 protein subunit (Koyrakh et al. 2005; Labouebe et al. 2007; Torrecilla et al. 2002). One plausible mechanism by which GIRK3 may influence withdrawal is via its role in GABAB receptor signaling. GABAB receptor activation usually suppresses withdrawal symptoms in ethanol-dependent rats (Colombo et al. 2000; Knapp et al. 2007) and humans (Addolorato et al. 2006), and GIRK3-KO mice show increased GIRK-GABAB receptor coupling efficiency in the brain compared with WT mice (Labouebe et al. 2007). Further, ethanol enhances GABAB receptor mediated inhibitory transmission in brain neurons by facilitating GIRK currents (Federici et al. 2009; McDaid et al. 2008) and enhances GIRK currents evoked by GABAB receptor activation (Kobayashi et al. 1999; Lewohl et al. 1999). In addition to altered GABAB receptor function, GIRK3-KO mice have blunted behavioral responses to drugs that act at other Gi/o-coupled receptors, including μ-opioid (Marker et al. 2002; but see Smith et al. 2008), cannabinoid and α2-adrenergic receptors (Smith et al. 2008). This suggests the potential involvement of GABAB and additional G-coupled receptors in mediating GIRK3 effects on behavior. Of course, it should be kept in mind that deletion of a specific gene (in this case the Kcnj9 gene) in KO animals may lead to developmental changes in other systems to compensate for this loss, and these compensatory changes can confound the interpretation of knockout studies. Future studies will be needed to assess GIRK coupling to GABAB and similar receptors and its role in ethanol physiological dependence and withdrawal.
QTLs and QTGs Related to Mitochondrial Respiration and Oxidative Stress
Additional studies using the interval-specific congenic mice carrying short segments of DBA/2J DNA in a background of C57BL/6J DNA detected, confirmed, and finely mapped a second QTL on mouse chromosome 1 with large effects on the predisposition to withdrawal following chronic and acute alcohol exposure (Kozell et al. 2008). This QTL maps to a 1.1-Mb interval syntenic with human 1q23.2–23.3. Although considerable evidence indicates that some genetic factors influence vulnerability to withdrawal from a variety of sedative drugs, this QTL does not influence pentobarbital withdrawal (Kozell et al. 2009) and provides a crucial clue as to the identity of the underlying QTG(s).
Detailed molecular analyses of this QTL interval have shown that it harbors 17 genes that exhibit genotype-dependent transcript expression between chromosome 1 congenic and C57BL/6J background strain mice and/or nonsynonymous sequence variation that changes the structure of the protein coded for by the gene, either one or both of which may underlie the QTL’s influence (Denmark and Buck 2008). Three of these genes (called Sdhc, Ndufs2, and Ppox) encode proteins found in cell organelles called mitochondria. Mitochondria supply most cellular energy and also are involved in pathways that help the cells avoid or deal with oxidative stress. This is notable because studies both in cultured cells (i.e., in vitro) and in vivo found that ethanol exposure introduces intense oxidative stress, largely through its effects on the mitochondria (Bailey 2003; Sun and Sun 2001).3 The protein products of Sdhc and Ndufs2 are integral subunits of certain components (i.e., respiratory complexes I and II) involved in a series of biochemical reactions known as the mitochondrial electron transport chain. The protein encoded by Ppox catalyzes the penultimate step in the biosynthesis of heme, which is required for the function of cytochrome molecules that play a central role in mitochondrial respiratory function. Consistent with the hypothesis that these mitochondrial proteins could be related to ethanol withdrawal, studies found that mutations in the human genes NDUFS24 (Ugalde et al. 2004) and PPOX (Gonzalez-Arriaza and Bostwick 2003) cause several inherited diseases that include seizures as a prominent symptom. Similar mutations in the gene corresponding to Ndufs2 in the roundworm Chromatia elegans (which is called gas-1) creates ethanol hypersensitivity and increased oxidative stress (Kayser et al. 2001, 2003; Morgan and Sedensky 1995). Evidence from rat models suggests that ethanol withdrawal is accompanied by increases in oxygen-containing molecules that increase oxidative stress (i.e., reactive oxygen species) and that these increases correlate with withdrawal severity (Dahchour et al. 2005; Vallett et al. 1997).
Because the DBA/2J and C57BL/6J mice that were used to generate the interval-specific congenic strains differ significantly in the brain levels of some oxidative stress markers (Rebrin et al. 2007), this model system is highly attractive for conducting subsequent QTG and mechanistic analyses. Ongoing studies to address these issues suggest that a gene(s) within this QTL interval may affect mitochondrial respiratory complex structure in the brain and that antioxidant administration may reduce ethanol withdrawal severity in mice.
Potential Roles of MPDZ and GIRK3 in Additional Responses to Ethanol
Alcohol consumption and preference show significant genetic correlation with ethanol withdrawal convulsion severity in independently tested groups of mice (Metten et al. 1998), suggesting that ethanol withdrawal and consumption/preference may share specific genetic contributions, which may include the Mpdz and Kcnj9 genes and their encoded proteins. Consistent with this hypothesis, the same chromosomal region that contains Kcnj9 also harbors QTLs for ethanol drinking (Tarantino et al. 1998) and for ethanol-conditioned aversion (Risinger and Cunningham 1998) and acute sensitivity to ethanol (Crabbe et al. 1994; Demarest et al. 1999). Moreover, analyses of standard and recombinant inbred animal strains have suggested that Mpdz status and/or expression may be genetically correlated with ethanol consumption and preference (behavioral data from Belknap et al. 1993; Fernandez et al. 1999; Gill et al. 1996; Rodriguez et al. 1994), ethanol-conditioned place preference and taste aversion (behavioral data from Broadbent et al. 2002; Cunningham 1995), and sensitivity and tolerance to ethanol-induced motor incoordination (behavioral data from Gallaher et al. 1996; Phillips et al. 1996; Rustay et al. 2003). These results suggest that Mpdz and Kcnj9 may have roles in a wide variety of ethanol-related behaviors. The possibility that these QTGs play important roles in diverse responses to ethanol makes them important targets. Ongoing analyses using MPDZ and GIRK3 genetic models can begin to address their potential roles in ethanol consumption, preference, and other related behaviors.
Human Relevance of QTGs Identified in Mice
As reviewed here, studies in mouse models of various aspects of alcohol dependence have identified several QTLs with large effects on ethanol physiological dependence and associated withdrawal, have reduced these QTLs to small intervals of chromosomes 1 and 4 (which are syntenic to human chromosomes 1q23.2-23.3 and 9p23-p22.3, respectively), and have led to the description of a QTG or high-quality QTG candidate(s). Human association studies have provided evidence that the QTLs and QTGs identified in mice may be relevant to risk factors for alcoholism in clinical populations. For example, two studies have identified DNA regions associated with alcohol dependence on human chromosome 1q (LOD>3), and additional studies have provided supporting evidence for the association of 1q markers with alcoholism (for reviews, see Edenberg et al. 2010; Ehlers et al. 2010; Hansell et al. 2009; Heath et al. 2011; Joslyn et al. 2010) (see figure 1). These loci potentially are syntenic with the identified mouse chromosome 1 QTLs for alcohol consumption and withdrawal (Ehlers et al. 2010).
Figure 1 Potential synteny between mouse chromosome 1 and human chromosome 1 quantitative trait loci (QTLs). Human chromosome 1 shares primary conserved regions with mouse chromosomes 1, 3, and 4. Conversely, mouse chromosome 1 shares regions syntenic with human chromosomes 1, 2, 5, 6, 8, and 18. For both mouse and human chromosomes, additional smaller syntenic regions exist (not shown). Mouse chromosome 1 carries significant QTLs for physiological dependence and associated withdrawal following chronic and acute ethanol exposure, two of which have been finely mapped to small DNA intervals of 0.44 and 1.7 Mb (see blue and red lines next to mouse chromosome 1). High-quality quantitative trait gene (QTG) candidates have been identified within these two intervals, including Kcnj9 and genes involved in mitochondrial respiration and/or oxidative stress. (Denmark and Buck 2009; Kozell et al. 2009). Another QTL for ethanol consumption and withdrawal has also been detected nearby (see black line) but has not yet been finely mapped. The dashed red boxes and line denote the two finely mapped mouse QTL intervals and the syntenic region of human chromosome 1 (1q23.2– 1q23.3). Two human QTL studies have determined peak log of the odds of linkage (LOD) scores for alcoholism (red line; Hill et al. 2004) and for age of onset of drinking, harm avoidance, novelty seeking, and alcohol dependence (blue line; Dick et al. 2002) in this human chromosome 1 region. Four genetic markers (rs1229430, rs2001270, rs3753563, and rs84465) that are associated (P < 0.0001) with heaviness of drinking, alcohol use disorder, and/or alcohol dependence (Heath et al. 2011) are located in that same region (green lines). Thus, one or more human QTLs may be narrowed to a small syntenic interval of human chromosome 1 that harbors the homologs of high-quality QTG candidates identified in mice.
Several studies also have provided evidence for an association of markers on human chromosome 9p with alcoholism, but these associations only remain suggestive (Edenberg et al. 2010; Joslyn et al. 2010; Long et al. 1998; Williams et al. 2005). These markers potentially are syntenic with the mouse chromosome 4 QTL for which Mpdz has been proposed as a QTG (figure 2). In addition, limited human association studies using only small populations have implicated MPDZ as potentially involved in excessive alcohol consumption and risk for alcoholism (Karpyak et al. 2009; Tabakoff et al. 2009). Thus, this gene is a promising translational candidate for future work toward improving prevention and treatment of alcohol abuse in dependent individuals.
These findings suggest that QTL/QTG research in mice may help in the identification of new targets for improved therapeutic approaches and individualized strategies to treat and prevent dependence in humans. In some cases, a QTG can be the same in mice and humans, as has been found for some disorders (Mogil et al. 2003) and also may be the case for one or more of the examples above. In other cases, animal models may identify a relevant network operating in both species, within which many potential targets for pharmacologic interventions may exist. In either case, a comprehensive understanding of genetic variation, both in humans and informative animal models, is crucial to establishing its relationship to biological function (Collins et al. 2003). As more information becomes available, the mechanisms by which QTGs affect response to ethanol, and their potential role in alcohol dependence in humans, will become apparent.
Figure 2 Potential synteny between mouse chromosome 4 and human chromosome 9 quantitative trait loci (QTLs). Human chromosome 9 shares primary conserved regions with mouse chromosomes 1, 4, 19, 2, and 13, and mouse chromosome 4 shares regions syntenic with human chromosomes 9, 8, 1, and 6. For both mouse and human chromosomes additional smaller syntenic regions exist (not shown). Mouse chromosome 4 carries a significant QTL for ethanol withdrawal that has been mapped to 1.8-Mb interval. Within this interval, a gene called Mpdz has been identified as a quantitative trait gene (QTG) candidate for ethanol withdrawal (Shirley et al. 2004). The dashed red boxes and line denote this 1.8-Mb QTL interval and syntenic region on human chromosome 9 (9p23–p22.3). A recent human association study for alcohol consumption (Tabakoff et al. 2010) found significant association with a DNA variation (i.e., single nucleotide polymorphism [SNP]) within the human gene MPDZ (P < 0.0001). Sequence variations in human MPDZ also may be associated with alcohol dependence (Karpyak et al. 2010). Thus, this gene has been implicated in studies using animal model and clinical populations. Additional markers near this region of human chromosome 9 may be associated with alcohol-related phenotypes, including age of onset of use (D9S925; Williams et al. 2005), predisposition to alcohol dependence (D9S319; Long et al. 1998), and alcohol response (PTPRD; Joslyn et al. 2010).
This work was supported by Department of Veterans Affairs and National Institutes of Health grants AA–011114, DA–005228, and AA–010760 (KB); AA–017342 (DD); AA–007468 (to Deaunne L. Denmark and Lauren C. Milner); AA–001731 (to Lauren C. Milner); and DA–007262 and by the Wellcome Trust (to Seth G.N. Grant). We thank Nikki Walter and Renee Shirley for their assistance.
The authors declare that they have no competing financial interests.
Addolorato, G.; Leggio, L.; Abenavoli, L.; et al. Baclofen in the treatment of alcohol withdrawal syndrome: A comparative study vs diazepam. American Journal of Medicine 119(3): 276.e213–278, 2006. PMID: 16490478
Bailey, S.M. A review of the role of reactive oxygen and nitrogen species in alcohol-induced mitochondrial dysfunction. Free Radical Research 37(6):585– 596, 2003. PMID: 12868485
Balasubramanian, S.; Fam, S.R.; and Hall, R.A. GABAB receptor association with the PDZ scaffold Mupp1 alters receptor stability and function. Journal of Biological Chemistry 282(6): 4162–4171, 2007. PMID: 17145756
Becamel, C.; Figge, A.; Poliak, S.; et al. Interaction of serotonin 5-hydroxytryptamine type 2C receptors with PDZ10 of the multi-PDZ domain protein MUPP1. Journal of Biological Chemistry 276(16):12974–12982, 2001. PMID: 11150294
Belknap, J.K., and Atkins, A.L. The replicability of QTLs for murine alcohol preference drinking behavior across eight independent studies. Mammalian Genome 12(12): 893–899, 2001. PMID: 11707775
Belknap, J.K.; Crabbe, J.C.; and Young, E.R. Voluntary consumption of ethanol in 15 inbred mouse strains. Psychopharmacology (Berl) 112(4):503–510, 1993. PMID: 7871064
Bennett, B.; Carosone-Link, P.; Zahniser, N.R.; and Johnson, T.E. Confirmation and fine mapping of ethanol sensitivity quantitative trait loci, and candidate gene testing in the LXS recombinant inbred mice. Journal of Pharmacology and Experimental Therapeutics 319(1):299–307, 2006. PMID: 16803863
Bennett, B.; Downing, C.; Carosone-Link, P.; et al. Quantitative trait locus mapping for acute functional tolerance to ethanol in the L × S recombinant inbred panel. Alcoholism: Clinical and Experimental Research 31(2):200–208, 2007. PMID: 17250610
Boyle, A.E., and Gill, K.J. Confirmation of provisional quantitative trait loci for voluntary alcohol consumption: Genetic analysis in chromosome substitution strains and F2 crosses derived from A/J and C57BL/6J progenitors. Pharmacogenetics and Genomics 18(12):1071–1082, 2008. PMID: 19008751
Broadbent, J.; Muccino, K.J.; and Cunningham, C.L. Ethanol-induced conditioned taste aversion in 15 inbred mouse strains. Behavioral Neuroscience 116(1):138–148, 2002. PMID: 11895176
Buck, K.J.; Metten, P.; Belknap, J.K.; and Crabbe, J.C. Quantitative trait loci involved in genetic predisposition to acute alcohol withdrawal in mice. Journal of Neuroscience 17(10):3946–3955, 1997. PMID: 9133412
Buck, K.J.; Rademacher, B.S.; Metten, P.; and Crabbe, J.C. Mapping murine loci for physical dependence on ethanol. Psychopharmacology (Berl) 160(4):398–407, 2002. PMID: 11919667
Chen, G., and Buck, K.J. Rostroventral caudate putamen involvement in ethanol withdrawal is influenced by a chromosome 4 locus. Genes, Brain, and Behavior 9(7):768–776, 2010. PMID: 20608999
Collins, F.S.; Green, E.D.; Guttmacher, A.E.; et al. A vision for the future of genomics research. Nature 422(6934):835–847, 2003. PMID: 12695777
Colombo, G.; Agabio, R.; Carai, M.A.; et al. Ability of baclofen in reducing alcohol intake and withdrawal severity: I—Preclinical evidence. Alcoholism: Clinical and Experimental Research 24(1):58–66, 2000. PMID: 10656194
Crabbe, J.C. Neurogenetic studies of alcohol addiction. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 363(1507):3201–3211, 2008. PMID: 18640917
Crabbe, J.C.; Belknap, J.K.; Mitchell, S.R.; and Crawshaw, L.I. Quantitative trait loci mapping of genes that influence the sensitivity and tolerance to ethanol-induced hypothermia in BXD recombinant inbred mice. Journal of Pharmacology and Experimental Therapeutics 269(1):184–192, 1994. PMID: 8169823
Crabbe, J.C.; Bell, R.L.; and Ehlers, C.L. Human and laboratory rodent low response to alcohol: Is better consilience possible? Addiction Biology 15(2):125–144, 2010. PMID: 20148776
Cunningham, C.L. Localization of genes influencing ethanol-induced conditioned place preference and locomotor activity in BXD recombinant inbred mice. Psychopharmacology (Berl) 120(1):28–41, 1995. PMID: 7480533
Dahchour, A.; Lallemand, F.; Ward, R.J.; and De Witte, P. Production of reactive oxygen species following acute ethanol or acetaldehyde and its reduction by acamprosate in chronically alcoholized rats. European Journal of Pharmacology 520(1–3):51–58, 2005. PMID: 16135364
Demarest, K.; McCaughran, J., Jr.; Mahjubi, E.; et al. Identification of an acute ethanol response quantitative trait locus on mouse chromosome 2. Journal of Neuroscience 19(2):549–561, 1999. PMID: 9880575
Denmark, D.L., and Buck, K.J. Molecular analyses and identification of promising candidate genes for loci on mouse chromosome 1 affecting alcohol physical dependence and associated withdrawal. Genes, Brain, and Behavior 7(5):599–608, 2008. PMID: 18363851
Dick, D.M.; Nurnberger, J., Jr.; Edenberg, H.J.; et al. Suggestive linkage on chromosome 1 for a quantitative alcohol-related phenotype. Alcoholism: Clinical and Experimental Research 26(10):1453–1460, 2002. PMID: 1239277
Downing, C.; Carosone-Link, P.; Bennett, B.; and Johnson, T. QTL mapping for low-dose ethanol activation in the LXS recombinant inbred strains. Alcoholism: Clinical and Experimental Research 30(7):1111–1120, 2006. PMID: 16792557
Drews, E.; Racz, I.; Lacava, A.D.; et al. Quantitative trait loci contributing to physiological and behavioural ethanol responses after acute and chronic treatment. International Journal of Neuropsychopharmacology 13(2):155–169, 2010. PMID: 19691874
Edenberg, H.J.; Koller, D.L.; Xuei, X.; et al. Genome-wide association study of alcohol dependence implicates a region on chromosome 11. Alcoholism: Clinical and Experimental Research 34(5):840–852, 2010. PMID: 20201924
Ehlers, C.L.; Walter, N.A.; Dick, D.M.; et al. A comparison of selected quantitative trait loci associated with alcohol use phenotypes in humans and mouse models. Addiction Biology 15(2):185–199, 2010. PMID: 20148779
Federici, M.; Nistico, R.; Giustizieri, M.; et al. Ethanol enhances GABAB-mediated inhibitory postsynaptic transmission on rat midbrain dopaminergic neurons by facilitating GIRK currents. European Journal of Neuroscience 29(7):1369–1377, 2009. PMID: 19309316
Fehr, C.; Shirley, R.L.; Belknap, J.K.; et al. 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. Journal of Neuroscience 22(9):3730–3738, 2002. PMID: 11978849
Fehr, C.; Shirley, R.L.; Metten, P.; et al. Potential pleiotropic effects of Mpdz on vulnerability to seizures. Genes, Brain, and Behavior 3(1):8–19, 2004. PMID: 14960011
Fernandez, J.R.; Vogler, G.P.; Tarantino, L.M.; et al. Sex-exclusive quantitative trait loci influences in alcohol-related phenotypes. American Journal of Medical Genetics 88(6):647–652, 1999. PMID: 10581484
Gallaher, E.J.; Jones, G.E.; Belknap, J.K.; and Crabbe, J.C. Identification of genetic markers for initial sensitivity and rapid tolerance to ethanol-induced ataxia using quantitative trait locus analysis in BXD recombinant inbred mice. Journal of Pharmacology and Experimental Therapeutics 277(2):604–612, 1996. PMID: 8627537
Gill, K.; Liu, Y.; and Deitrich, R.A. Voluntary alcohol consumption in BXD recombinant inbred mice: Relationship to alcohol metabolism. Alcoholism: Clinical and Experimental Research 20(1):185–190, 1996. PMID: 8651451
Gonzalez-Arriaza, H.L., and Bostwick, J.M. Acute porphyrias: A case report and review. American Journal of Psychiatry 160(3):450–459, 2003. PMID: 12611823
Hansell, N.K.; Agrawal, A.; Whitfield, J.B.; et al. Linkage analysis of alcohol dependence symptoms in the community. Alcoholism: Clinical and Experimental Research 34(1):158–163, 2010. PMID: 19860796
Heath, A.C.; Whitfield, J.B.; Martin, N.G.; et al. A quantitative-trait genome-wide association study of alcoholism risk in the community: Findings and implications. Biological Psychiatry 70(6):513–518, 2011. PMID: 21529783
Hill, S.Y.; Shen, S.; Zezza, N.; et al. A genome wide search for alcoholism susceptibility genes. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics 128B(1):102–113, 2004. PMID: 15211641
Hitzemann, R.; Edmunds, S.; Wu, W.; et al. Detection of reciprocal quantitative trait loci for acute ethanol withdrawal and ethanol consumption in heterogeneous stock mice. Psychopharmacology (Berl) 203(4):713–722, 2009. PMID: 19052728
Joslyn, G.; Ravindranathan, A.; Brush, G.; et al. Human variation in alcohol response is influenced by variation in neuronal signaling genes. Alcoholism: Clinical and Experimental Research 34(5):800–812, 2010. PMID: 20201926
Karpyak, V.M.; Kim, J.H.; Biernacka, J.M.; et al. Sequence variations of the human MPDZ gene and association with alcoholism in subjects with European ancestry. Alcoholism: Clinical and Experimental Research 33(4):712–721, 2009. PMID: 19175764
Kayser, E.B.; Hoppel, C.L.; Morgan, P.G.; and Sedensky, M.M. A mutation in mitochondrial complex I increases ethanol sensitivity in Caenorhabditis elegans. Alcoholism: Clinical and Experimental Research 27(4):584–592, 2003. PMID: 12711920
Kayser, E.B.; Morgan, P.G.; Hoppel, C.L.; and Sedensky, M.M. Mitochondrial expression and function of GAS-1 in Caenorhabditis elegans. Journal of Biological Chemistry 276(23):20551–20558, 2001. PMID: 11278828
Kirstein, S.L.; Davidson, K.L.; Ehringer, M.A.; et al. Quantitative trait loci affecting initial sensitivity and acute functional tolerance to ethanol-induced ataxia and brain cAMP signaling in BXD recombinant inbred mice. Journal of Pharmacology and Experimental Therapeutics 302(3):1238–1245, 2002. PMID: 12183685
Knapp, D.J.; Overstreet, D.H.; Breese, G.R. Baclofen blocks expression and sensitization of anxiety-like behavior in an animal model of repeated stress and ethanol withdrawal. Alcoholism: Clinical and Experimental Research 31(4):582–595, 2007. PMID: 17374037
Kobayashi, T.; Ikeda, K.; Kojima, H.; et al. Ethanol opens G-protein-activated inwardly rectifying K+ channels. Nature Neuroscience 2(12):1091–1097, 1999. PMID: 10570486
Koob, G.F., and Le Moal, M. Neurobiological mechanisms for opponent motivational processes in addiction. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 363(1507):3113–3123, 2008. PMID: 18653439
Koyrakh, L.; Lujan, R.; Colon, J.; et al. Molecular and cellular diversity of neuronal G-protein-gated potassium channels. Journal of Neuroscience 25(49):11468–11478, 2005. PMID: 16339040
Kozell, L.; Belknap, J.K.; Hofstetter, J.R.; et al. Mapping a locus for alcohol physical dependence and associated withdrawal to a 1.1 Mb interval of mouse chromosome 1 syntenic with human chromosome 1q23.2-23.3. Genes, Brain, and Behavior 7(5):560–567, 2008. PMID: 18363856
Kozell, L.B.; Walter, N.A.; Milner, L.C.; et al. Mapping a barbiturate withdrawal locus to a 0.44 Mb interval and analysis of a novel null mutant identify a role for Kcnj9 (GIRK3) in withdrawal from pentobarbital, zolpidem, and ethanol. Journal of Neuroscience 29(37):11662–11673, 2009. PMID: 19759313
Krapivinsky, G.; Medina, I.; Krapivinsky, L.; et al. SynGAP-MUPP1-CaMKII synaptic complexes regulate p38 MAP kinase activity and NMDA receptor-dependent synaptic AMPA receptor potentiation. Neuron 43(4):563–574, 2004. PMID: 15312754
Labouebe, G.; Lomazzi, M.; Cruz, H.G.; et al. RGS2 modulates coupling between GABAB receptors and GIRK channels in dopamine neurons of the ventral tegmental area. Nature Neuroscience 10(12):1559–1568, 2007. PMID: 17965710
Lewohl, J.M.; Wilson, W.R.; Mayfield, R.D.; et al. G-protein-coupled inwardly rectifying potassium channels are targets of alcohol action. Nature Neuroscience 2(12):1084–1090, 1999. PMID: 10570485
Long, J.C.; Knowler, W.C.; Hanson, R.L.; et al. Evidence for genetic linkage to alcohol dependence on chromosomes 4 and 11 from an autosome-wide scan in an American Indian population. American Journal of Medical Genetics 81(3):216–221, 1998. PMID: 9603607
Luscher, C.; Jan, L.Y.; Stoffel, M.; et al. G protein-coupled inwardly rectifying K+ channels (GIRKs) mediate postsynaptic but not presynaptic transmitter actions in hippocampal neurons. Neuron 19(3):687–695, 1997. PMID: 9331358
Marker, C.L.; Cintora, S.C.; Roman, M.I.; et al. Hyperalgesia and blunted morphine analgesia in G protein-gated potassium channel subunit knockout mice. Neuroreport 13(18):2509–2513, 2002. PMID: 12499858
McDaid, J.; McElvain, M.A.; and Brodie, M.S. Ethanol effects on dopaminergic ventral tegmental area neurons during block of Ih: involvement of barium-sensitive potassium currents. Journal of Neurophysiology 100(3): 1202–1210, 2008. PMID: 18614756
Metten, P.; Phillips, T.J.; Crabbe, J.C.; et al. High genetic susceptibility to ethanol withdrawal predicts low ethanol consumption. Mammalian Genome 9(12):983–990, 1998. PMID: 9880664
Mogil, J.S.; Wilson, S.G.; Chesler, E.J.; et al. The melanocortin-1 receptor gene mediates female-specific mechanisms of analgesia in mice and humans. Proceedings of the National Academy of Sciences of the United States of America 100(8):4867–4872, 2003. PMID: 12663858
Morgan, P.G., and Sedensky, M.M. Mutations affecting sensitivity to ethanol in the nematode, Caenorhabditis elegans. Alcoholism: Clinical and Experimental Research 19(6):1423–1429, 1995. PMID: 8749805
Palmer, A.A.; Lessov-Schlaggar, C.N.; Ponder, C.A.; et al. Sensitivity to the locomotor-stimulant effects of ethanol and allopregnanolone: A quantitative trait locus study of common genetic influence. Genes, Brain, and Behavior 5(7):506–517, 2006. PMID: 17010097
Phillips, T.J.; Brown, K.J.; Burkhart-Kasch, S.; et al. Alcohol preference and sensitivity are markedly reduced in mice lacking dopamine D2 receptors. Nature Neuroscience 1(7):610–615, 1998. PMID: 10196569
Phillips, T.J.; Lessov, C.N.; Harland, R.D.; and Mitchell, S.R. Evaluation of potential genetic associations between ethanol tolerance and sensitization in BXD/Ty recombinant inbred mice. Journal of Pharmacology and Experimental Therapeutics 277(2):613–623, 1996. PMID: 8627538
Phillips, T.J.; Reed, C.; Burkhart-Kasch, S.; et al. A method for mapping intralocus interactions influencing excessive alcohol drinking. Mammalian Genome 21(1–2):39–51, 2010. PMID: 20033183
Rebrin, I.; Forster, M.J.; and Sohal, R.S. Effects of age and caloric intake on glutathione redox state in different brain regions of C57BL/6 and DBA/2 mice. Brain Research 1127(1):10–18, 2007. PMID: 17113050
Reilly, M.T.; Milner, L.C.; Shirley, R.L.; et al. 5-HT2C and GABAB receptors influence handling-induced convulsion severity in chromosome 4 congenic and DBA/2J background strain mice. Brain Research 1198:124–131, 2008. PMID: 18262506
Risinger, F.O., and Cunningham, C.L. Ethanol-induced conditioned taste aversion in BXD recombinant inbred mice. Alcoholism: Clinical and Experimental Research 22(6):1234–1244, 1998. PMID: 9756038
Rodriguez, L.A.; Plomin, R.; Blizard, D.A.; et al. Alcohol acceptance, preference, and sensitivity in mice. I. Quantitative genetic analysis using BXD recombinant inbred strains. Alcoholism: Clinical and Experimental Research 18(6):1416–1422, 1994. PMID: 7695038
Rustay, N.R.; Wahlsten, D.; and Crabbe, J.C. Assessment of genetic susceptibility to ethanol intoxication in mice. Proceedings of the National Academy of Sciences of the United States of America 100(5):2917–2922, 2003. PMID: 12584362
Sher, K.J.; Dick, D.M.; Crabbe, J.C.; et al. Consilient research approaches in studying gene x environment interactions in alcohol research. Addiction Biology 15(2):200–216, 2010. PMID: 20148780
Shirley, R.L.; Walter, N.A.; Reilly, M.T.; et al. Mpdz is a quantitative trait gene for drug withdrawal seizures. Nature Neuroscience 7(7):699–700, 2004. PMID: 15208631
Smith, D.S.; Rehncrona, S.; and Siesjo, B.K. Barbiturates as protective agents in brain ischemia and as free radical scavengers in vitro. Acta Physiologica Scandinavica. Supplementum 492:129–134, 1980. PMID: 6939303
Smith, S.B.; Marker, C.L.; Perry, C.; et al. Quantitative trait locus and computational mapping identifies Kcnj9 (GIRK3) as a candidate gene affecting analgesia from multiple drug classes. Pharmacogenetics and Genomics 18(3):231–241, 2008. PMID: 18300945
Sun, A.Y., and Sun, G.Y. Ethanol and oxidative mechanisms in the brain. Journal of Biomedical Science 8(1):37–43, 2001. PMID: 11173974
Tabakoff, B.; Saba, L.; Printz, M.; et al. Genetical genomic determinants of alcohol consumption in rats and humans. BMC Biology 7:70, 2009. PMID: 19874574
Tarantino, L.M.; McClearn, G.E.; Rodriguez, L.A.; and Plomin, R. Confirmation of quantitative trait loci for alcohol preference in mice. Alcoholism: Clinical and Experimental Research 22(5):1099–1105, 1998. PMID: 9726281
Torrecilla, M.; Marker, C.L.; Cintora, S.C.; et al. G-protein-gated potassium channels containing Kir3.2 and Kir3.3 subunits mediate the acute inhibitory effects of opioids on locus ceruleus neurons. Journal of Neuroscience 22(11):4328–4334, 2002. PMID: 12040038
Treutlein, J., and Reitschel, M. Genome-wide association studies of alcohol dependence and substance use disorders. Current Psychiatry Reports 13(2):147–155, 2011. PMID: 21253885
Ueda, Y.; Doi, T.; Nagatomo, K.; and Nakajima, A. Protective role of pentobarbital pretreatment for NMDA-R activated lipid peroxidation is derived from the synergistic effect on endogenous anti-oxidant in the hippocampus of rats. Neuroscience Letters 417(1):46–49, 2007. PMID: 17360116
Ugalde, C.; Janssen, R.J.; van den Heuvel, L.P.; et al. Differences in assembly or stability of complex I and other mitochondrial OXPHOS complexes in inherited complex I deficiency. Human Molecular Genetics 13(6):659–667, 2004. PMID: 14749350
Vallett, M.; Tabatabaie, T.; Briscoe, R.J.; et al. Free radical production during ethanol intoxication, dependence, and withdrawal. Alcoholism: Clinical and Experimental Research 21(2):275–285, 1997. PMID: 9113264
Williams, A.H.; Brown, W.M.; and Langefeld, C.D. Multilocus and interaction-based genome scan for alcoholism risk factors in Caucasian Americans: The COGA study. BMC Genetics 6(Suppl. 1):S37, 2005. PMID: 16451547