Chapter 4
Genetic Markers Related to Alcohol Use and Abuse Joshua A. Bornhorst1 and Gwendolyn McMillin1,2 1
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States, 2ARUP Laboratory and Department of Pathology,
University of Utah, Salt Lake City, UT, United States
INTRODUCTION Ethanol (alcohol) use has been an important aspect of many human societies since the beginning of recorded history. However, the excessive use of alcohol is associated with many negative consequences, contributing to increased medical costs, birth defects, lost productivity, and violent crime. In the United States approximately 150 billion dollars per year is spent in alcohol-related accidents and illness [1,2]. There is an evidence that the contribution of alcohol abuse to the global disease burden is larger than that of any other controlled or illicit substances, with the notable exclusion of tobacco [3,4]. It is believed that 3.2%5.9% of global deaths and as much as 4%5% of overall global disease can be attributed to alcohol consumption [3,5,6]. A great deal of work has gone into elucidating genetic markers for susceptibility of an individual for alcohol abuse. Although trait markers are generally in research and developmental stages, there are many biochemical markers of alcohol abuse that have been well established [79]. Increasingly, there is increasing interest in clinically useful genetic markers [10,11]. This chapter explores genetic markers that could be employed to identify susceptibility to alcohol dependence and to improve therapeutic efforts (see Table 4.1). Alcohol consumption is not always associated with the negative health and welfare impacts, and it should be noted that often consumption may not result in adverse consequences. However, consumption patterns can be linked to disease especially for chronic disease states [6,14]. The definition of “excessive use” of alcohol varies. Greater than 40 g a day of ethanol for men and 20 g a day for women is considered “hazardous” or “harmful” [15]. An acute intake of more than 57 drinks in males and 35 drinks (assuming 10 g of ethanol per drink) is also considered harmful [16]. Differences in alcohol abuse prevalence are observed for different ages, racial backgrounds, gender, and socioeconomic classes. Alcohol abuse prevalence is generally highest among young white males and unmarried individuals [17,18]. Per capita consumption steadily increased from 1970 to 2007 [19]. Furthermore, between 2006 and 2014 the number of alcohol-related emergency department visits increased 62% [20]. The risk of other adverse health effects is well known to increase with heavy and regular alcohol consumption [16]. Alcohol abuse is known to be directly associated with a number of different medical conditions (Table 4.1), including hepatic, cardiovascular, psychiatric, and neurological disorders [12,15,21,22]. It also should be noted that some studies have shown that drinkers of ,30 g of alcohol per day may have a lower mortality rate than those who abstain from drinking altogether [16,23,24]. The World Health Organization estimates that alcohol abuse affects 76.3 million people globally, and has identified reducing alcohol utilization as a priority area in international public health [14]. Alcohol abuse is not, by definition, alcohol dependency or alcoholism. Many environmental, clinical, and genetic factors contribute to the development of alcoholism (see Fig. 4.1). Clinical alcohol dependency is considered as a chronic disease for which diagnosis is defined by Diagnostic and Statistical Manual of Mental Disorders (DSM), Cloninger type III, and Feighner III criteria. Using the diagnostic criteria, as specified in DSM-IV, 19.3 million Americans required treatment for alcohol abuse or dependence in 2007 [25]. Briefly, the DSM-IV differentiates abuse from dependence on the frequency of events resulting in impairment or distress within specific domains of everyday
Critical Issues in Alcohol and Drugs of Abuse Testing. DOI: https://doi.org/10.1016/B978-0-12-815607-0.00004-6 Copyright © 2019 Elsevier Inc. All rights reserved.
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Critical Issues in Alcohol and Drugs of Abuse Testing
TABLE 4.1 Selected Health Risks and the Estimated Percent of Worldwide Disease Burden Related to Alcohol Consumption Disorder
Percent of Disease Burden Related to Alcohol (%)
Cirrhosis of the liver
32
Cancer of mouth and oropharynx
19
Esophageal cancer
29
Liver carcinoma
25
Breast cancer
7
Depression
2
Epilepsy Ischemic heart disease Hemorrhagic stroke
12 2 10
Source: Adapted from Room R, Babor T, Rehm J. Alcohol and public health. Lancet 2005;365 (9458):519530; Rehm J, Room R, Graham K, Monteiro M, et al. The relationship of average volume of alcohol consumption and patterns of drinking to burden of disease: an overview. Addiction 2003;98 (9):12091228 and “WHO World Health Report 2002: reducing risks, promoting healthy life,” Geneva, World Health Organization.
FIGURE 4.1 Factors contributing to alcoholism.
life and the DSM-V presented additional recommendations [26]. Diagnosis of dependence requires three or more events within a 12-month period and evidence of tolerance, withdrawal, or relapse [25,27]. In the United States the prevalence of alcohol dependence is 5.4% in males and 2.3% in females. By way of comparison, only 0.6% of US adults exhibit drug dependence on at a given time, although their lifetime drug dependence prevalence is 10.3% [28,29], yet alcoholism frequently coexists with other addictions, including illicit substance abuse and nicotine dependence more often than be expected by chance [30]. It is estimated that as many as 18% of all adults
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exhibit alcohol abuse over the course of their lifetime and 12.5% will be dependent on alcohol at some point in their lives. However, alcohol dependency is under-diagnosed, and it is estimated that only about one-tenth of all individuals who exhibit alcohol dependence receive treatment [18,31]. Interestingly, considerable overlap has been recognized between the incidence of alcohol dependency and mental illness. For example, susceptibility to alcoholism may be linked to antisocial personality disorder, conduct disorder, and personality characteristics such as impulsivity, aggressiveness, thrill-seeking, and rebelliousness. Efforts continue to further elucidate the biological changes in specific brain regions associated with the dependence or addiction process [32]. While deemed the most reliable observational criteria for diagnosis of alcohol abuse or dependence, the DSM criteria are often highly subjective.
ROLE OF LABORATORY TESTING There is a clear need for laboratory testing to identify alcoholism, alcohol abuse, and susceptibility to alcoholism. In addition to biochemical changes or markers associated with alcohol use [33], genetic testing could potentially be used to identify individuals who are predisposed to developing alcoholism or who have clinically relevant abnormalities of ethanol metabolism. A number of the candidate genes and polymorphisms have been identified based on their involvement in alcohol metabolism or the neuronal response to alcohol. Evaluation of variants of these genes and the development of genetic testing may also be useful from a pharmacogenetic perspective, in guiding drug and dose selection for detoxification and abstinence therapy. Alcohol dependence is a complex psychiatric disorder affected by both genetic and environmental influences. Although alcoholism does not show a clear pattern of direct Mendelian inheritance, studies have shown that the genetic contribution to alcohol use disorder etiology is considerable [3440]. Controversially, while some studies indicate that the prevalence of alcohol-associated disorders varies among ethnic minorities, other studies indicate no difference in total alcohol overall consumption [4143]. A number of policy groups have recommended the implementation of alcohol screening and brief intervention strategies in routine health care settings in which it can reduce health care costs, costs associated with emergency room visits and result in a lower overall disease burden [41,4346]. Thus it appears beneficial to have genetic testing to identify individuals who are predisposed to or otherwise at elevated risk for developing alcoholism. Candidate genes are identified based on their involvement in alcohol metabolism (see Figs. 4.1 and 4.2) such as alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH), as well as those involved in neuronal response to alcohol such as gammaaminobutyric acid (GABA) receptor subunits, and serotonin (5-hydroxytryptamine, 5-HT) transporters. These and other genetic tests may also be useful from a pharmacogenetic perspective, in guiding drug and dose selection for detoxification and abstinence therapy. This overview of the genetic markers that may be employed to identify susceptibility to alcohol dependence, to select therapeutic options to treat abuse, and to monitor therapeutic compliance.
FIGURE 4.2 Schematic of alcohol metabolism.
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Critical Issues in Alcohol and Drugs of Abuse Testing
GENETIC MARKERS OF ALCOHOL DEPENDENCE As indicated previously, alcohol predisposition and dependence is due to a complex blend and interaction of environmentalbehavioral factors and genetic determinants (Fig. 4.1). Social, cultural, and biological factors all contribute to the differences in alcohol use and abuse. An important means for identification of individuals who are at risk for alcoholism may include genetic testing [47]. Based on analysis of large, well-characterized cohorts of twins (nearly 10,000 twin pairs), alcoholism is a moderately to highly heritable psychiatric disease, with heritability of more than 0.5, and about equally across genders [35,48]. Worldwide studies based on diverse technologies, linkage of human polymorphic markers, genetic association studies, and investigation of candidate genes, are accumulating to identify specific genes involved in the development of this disorder. Advances in molecular genetic profiling technology are changing from single-locus methodologies designed to detect single nucleotide polymorphisms (SNPs) to methods designed to detect many SNPs, multigene testing, and even genome-wide analysis. Therefore it is important to identify genes that predispose individuals from diverse populations to alcoholism, genes that alter treatment response, and genes that interact with other environmental factors. In this chapter an overview of the best characterized genetic markers is provided. Original research articles and more comprehensive reviews of specific details describing genetics of alcoholism should be consulted for further information [10,11,4956]. Potential genetic indicators of alcohol abuse and susceptibility are listed in Table 4.2.
Alcohol and Aldehyde Dehydrogenases Metabolism of ethanol is a two-stage process of elimination: ADH oxidizes ethanol to acetaldehyde, a toxic intermediate, which is in turn converted to acetate, primarily by the mitochondrial form of ALDH2. A simplified schematic of this pathway is shown in Fig. 4.2. Acetaldehyde is a toxic metabolite which may be involved in the addiction process [57]. ADH exists as a polygene family on chromosome 4, divided into class I and class II genes. Approximately 70% of alcohol metabolism is mediated by isozymes expressed in the liver by class I genes: ADH1A, ADH1B (previously known as ADH2), and ADH1C. Clinically significant polymorphisms with altered affinity for ethanol and altered metabolic activity are described, the best studied of which include the ADH1B*2 (His47Arg) and the ADH1B*3 (Arg369Cys). These alleles are associated with low affinity for alcohol, but high activity ( . 30-fold higher than normal) and rapid conversion of ethanol to acetaldehyde. The ADH1B*2 is common in Asian populations (allele frequency of approximately 0.9) and is associated with facial flushing due to the accumulation of acetaldehyde. This allele is also associated with resistance to alcoholism; the allele frequency was found to be 0.73 in nonalcoholics and 0.48 in TABLE 4.2 Potential Genetic Indicators of Alcohol Abuse and Susceptibility Observational Markers DSM-IV and V diagnostic criteria Observation of the use of other substances Some General Genetic Markers of Alcohol Abuse Susceptibility Alcohol and aldehyde dehydrogenases Neurotransmitter systems Dopamine (DA) associated markers GABA ACh Glutamate Serotonin NPY ACN9 Opioids Potential Methods for Identification of Markers and evaluation of Alcohol Abuse Susceptibility Transcriptomics Genomics Metabolomics Proteomics Epigenomics Next generation whole-genome sequencing
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alcoholics. The ADH1B*3 allele is most common in Native American and African populations [5863]. Several of the genes that encode ADH and ALDH enzymes exhibit functional polymorphisms that result in interindividual variation in ethanol metabolism capacity. Genome-wide association studies have linked the number of variants to alcohol phenotypes including relative risk of alcoholism [6467]. At least 19 putative genes and several pseudogenes are included in the ALDH gene superfamily, yet just ALDH1 (chromosome 9, cytosolic) and ALDH2 (chromosome 12, mitochondrial) are associated specifically with acetaldehyde oxidation. The ALDH2*2 (Glu487Lys), common to several ethnic populations, leads to reduced activity and like the ADH1B*2, it is associated with accumulation of acetaldehyde following alcohol intake. Promoter variants in ALDH1 (ALDH1A1*2, a 17 bp deletion, and ALDH1A1*3, a 3 bp insertion) are associated with reduced expression of ALDH. All of these ALDH alleles are associated with resistance to alcoholism. People who inherit the combination of a rapid metabolizing ADH allele combined with the impaired metabolizing ALDH alleles had particularly reduced risk for alcoholism. Also of interest is the drug disulfiram which is used in prevention of alcoholism relapse. This drug acts to mimic this phenotype through inhibition of ALDH activity [68,69]. Kuo et al. [59] tested polymorphisms in seven ADH genes, along with the ALDH1A1 and ALDH2 genes, for association with alcohol dependence. In this study, numerous SNPs in the ADH gene were associated with alcohol dependence. Another large case-control study found associations between AD and ADH5 genotypes; also, diplotypes of ADH1A, ADH1B, ADH7, and ALDH2 were linked to AD in European- or African-Americans [59]. The ALDH2*2 (Glu487Lys) polymorphism located in the ADLH2 variant enzyme is prevalent in many Asian ethnic groups and produces acetaldehyde with an associated alcohol-flushing response reaction similar to that observed in the ADH1B*2 allele (also see http://www.aldh.org) [7072]. The clinical significance of these and additional ALDH genes relative to alcohol use, intolerance, and abuse remains to be defined.
Neurotransmitter Systems The role of neurotransmitters in the brain is to either stimulate or inhibit the flow of impulse between neurons. Many neurotransmitter systems are involved in the positive, reinforcing, and aversive effects of alcohol. Here the potential involvement of genes involved in dopamine (DA), GABA, cholinergic, glutamate, serotonin, neuropeptide Y (NPY), ACN9, and opioid-mediated neurotransmission is described. Most emphasis is placed on the dopaminergic system, as it has been most extensively studied relative to alcoholism till date. Note that for each system, genes associated with the production, transport, storage, and destruction of neurotransmitters may be relevant, in addition to the genes coding for receptors and signal transduction mechanisms associated with actual neurotransmission. The cumulative and/or compensatory effect(s) of individual genetic variants is not well understood, but here association and potential consequences of affected genes are briefly discussed for selected aspects of each major neurotransmitter system [73].
Dopamine The DA system is one of the major contributors to the development of anxiety and depression. This neurotransmitter system is widely associated with rewarding, euphoric response to many drugs of abuse, including alcohol, and therefore may contribute to alcoholism predisposition and vulnerability. DA receptors fall within a class of metabotropic G proteincoupled receptors. There are five subtypes of DA receptors: D1, D2, D3, D4, and D5. The D2 regulates DA synthesis and releases in the presynaptic region, and has been the most studied in relation to alcohol-related phenotypes. This association is based on the thought that the rewarding effects of alcohol are mediated through the mesolimbic DA system [74], called also dopaminergic reward system [75]. In particular, the TaqI-A1 polymorphism in the DRD2 gene has been the subject of numerous association studies to explore the relationship between the A1 allele of DRD2 with alcohol consumption and dependence, with somewhat conflicting results. Some of the studies report a significantly higher frequency of the A1 allele in alcoholic compared with nonalcoholic populations, suggesting an increased susceptibility to alcohol dependence with this allele [7679]. A large meta-analysis (44 studies with 5273 cases and 3995 controls) considering genotyping data of the Taq1 polymorphism showed a small but significant association of alcohol dependency [80] in individuals with homozygote or heterozygote for the A1 allele. Other studies have been less supportive of this association [8183] leaving the role of this polymorphism in susceptibility for alcohol dependence inconclusive. However, these inconsistent results may be explained by the recent discovery that the TaqI-A1 polymorphism is in fact located 10 kb downstream from the DRD2 gene and causes an amino acid substitution in one of the ankyrin repeats in kinase domain 1 of the ANKK1 gene [84]. This data suggests that the TaqI-A1 polymorphism, in combination with polymorphisms of the ANKK1 and/or DRD2 could be
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Critical Issues in Alcohol and Drugs of Abuse Testing
epistatically associated with psychopathic traits in alcohol-dependent patients [85,86]. Further study will be required to understand this relationship. The dopamine D4 receptor (DRD4) is a G proteincoupled receptor with a D2-like activity, in addition to an inhibitory activity of the adenyl cyclase [87]. A 48-base (DRD4 E8 48-bp) of variable number of tandem repeats (VNTR) on exon 3, ranging from 2 to 11 repeats [88], is the most studied polymorphism; 25 repeats define the short, and 610 repeats define the long allele [89]. The 7-repeat variant of these polymorphisms reduces the ability of the DA to inhibit the cyclic AMP. The “long allele” has been associated by some studies with a “novelty seeking” [90] trait that is often present in the alcoholic phenotype. The dopamine transporter (SLC6A3) is a membrane-spanning protein that binds to DA terminating the DA signal by removing the neurotransmitter from the synapses into a neuron. A VNTR polymorphism in the 30 untranslated region of the DA transporter gene (DAT1) has been shown to affect the expression of the transporter [91]. Several case-control studies and family-based association studies have reported conflicting associations with the DAT1 VNTR polymorphism and alcohol-related phenotypes; however, most of these studies had very small sample sizes [9298]. Elevated frequency of the 7-repeat and a decreased frequency of the 9-allele were found in Japanese alcoholics compared to control subjects [93]. Catechol-O-methyltransferase (COMT), dopamine-β-hydroxylase (DβH) and monoamide oxidase are the major enzymes catalyzing metabolism of DA, norepinephrine, and other catecholamines. Genetic polymorphisms in these genes have been described and used as markers for these loci sites. The role of the corresponding genes in alcohol use and dependence is still controversial [99103]. The COMT gene is found on chromosome 21q11 and contains the functional polymorphism Val158Met in soluble COMT (S-COMT) or Val108Met in membrane-bound COMT (MB-COMT) [104106]. The Val158/108 enzyme has more activity than the Met158/108 form and is linked with decreased amounts of DA [35]. The Met158/108 allele is associated with higher consumption of alcohol in men [107] and higher anxiety levels in women [108]. In the COMBINE Alcoholism Treatment Study, relationships between candidate loci and drug metabolism or alcohol addiction were explored [109,110]. In the COMT gene, the Val158Met polymorphism was associated with brain endogenous opioid function, response to stress and anxiety, and differences in cognitive and emotional processes.
Dopamine Metabolizing Enzymes DβH catalyzes the conversion of DA to norepinephrine. The DβH *444 G . A polymorphism, was associated with alcoholism [111]. Two studies did not establish association between a DβH-1021 polymorphism and alcoholism [112,113].
GABA GABA is the major inhibitory neurotransmitter in the central nervous system. GABAB receptors are a family of G proteincoupled receptors that stimulate the opening of potassium channels. The GABAergic system is thought responsible for producing sedation, anxiolytic, and muscular relaxant effects of ethanol as well as for exhibiting signs of withdrawal. The effects of GABA are mediated through two primary receptor types: GABAA and GABAB. The GABAA receptor is a ligand-gated ion channel (modulates chloride conductance into neurons), and is composed of six different subunits, designed as α, β, γ, δ, ρ, and ε; GABAB receptors are coupled to G proteins. Precise composition of individual receptors affects response to GABA-agonists such as ethanol. Most of the GABAA genes are organized into clusters located on chromosomes 4, 5, and 15. Linkage and association studies consistently support the association between alcohol dependence and GABAA α2, GABA β1, and GABA β3 genes [53,114,115]. Fewer studies have identified a role of GABAB receptors and alcohol dependence [116,117]. GABAC receptors, which differ in complexity of structure, abundance, distribution, and function from GABAA and GABAB receptors, can be found in retinal, hippocampus, spinal cord, and pituitary tissues [118,119]. The GABA system interacts with the DA system to reinforce the effects of alcohol. Pharmacological treatments that target the inhibitory and excitatory modulators of the CMDS may prevent relapse or reduce heavy drinking have been proposed [118,120]. Clinical trials on the anticonvulsant drug topiramate, which facilitating GABA function through interaction with the GABAA receptor, have significantly reduced drinking in alcohol-dependent subjects [118,120].
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Acetylcholine Acetylcholine (ACh) is a neurotransmitter found in the brain and autonomic nervous system; it interacts with muscarinic and nicotinic receptors. A region on chromosome 7, including 11 SNPs, within and flanking the gene encoding for the muscarine ACh receptor subtype M2 (CHRM2) was significantly associated by linkage with alcohol dependence [121123]. Several genetic studies have implied that these genes may contribute to alcohol and nicotine coaddition [124127]. Chatterjee et al. suggest that FDA-approved ACh receptor ligands, such as varenicline and mecamylamine, may be useful in the treatment of alcohol abuse as well as smoking cessation [128].
Glutamate Glutamate is the primary excitatory neurotransmitter in the central nervous system and ethanol potently and selectively inhibits glutamate receptors. One receptor, a calcium-conducting ligand-gated glutamate receptor known as the Nmethyl-D-aspartate (NMDA) receptor, is thought to be particularly involved in development of alcoholism. The inhibitory effect of ethanol is overcome with prolonged ethanol exposure, by way of compensatory “upregulation” of NMDA receptor expression. These changes are believed to underlie the development of ethanol tolerance and dependence as well as acute and delayed signs of withdrawal, particularly agitation and seizures. Allelic variants of the NMDAR1 and the NMDAR2B receptor genes were associated with alcoholism and related traits [129], but not consistently in other studies [130]. Withdrawal from chronic alcohol usage lead to increased activity in the NMDA receptor and increased influx of calcium may be attributed to neurotoxicity and neuronal cell death. Topiramate, which can decrease the release of DA, has shown effectiveness in the management of alcohol dependence [131].
Serotonin Genes involved in the regulation of the serotonin (5-HT) system provide plausible candidate genes for involvement in alcohol consumption and abuse and dependence [132]. The serotonin transporter is responsible for serotonin reuptake and is a key regulator of serotonin availability in the synaptic cleft. A variant in the gene that codes for the transporter (5HTT, on chromosome 17), the 5-HTTLPR polymorphism, is associated with alcohol consumption. The serotonin transporter (5-HTT) is postulated as a marker for alcohol dependency [133]. Chronic alcohol intake may exert neurotoxic effects upon neurotransmitter systems such as the serotonergic system [134]. The shortlong alleles of 5HTTLPR result in either 14 (short, S) or 16 (long, L) copies of a 2023 base pair repeated sequence and affect expression of the gene. The S variant is associated with reduced expression of the transporter protein and was correlated with an increased risk of alcohol dependency [69,70] and may also affect the risk of relapse in abstinent patients, but these associations are somewhat controversial [135,136].
Neuropeptide Y Several lines of evidence in both human and animal studies suggest that variation in NPY or its receptor genes (NPY1R, NPY2R, and NPY5R) is associated with alcohol dependence as well as alcohol withdrawal symptoms. Reduced activity of the NPY system may be associated with increased alcohol intake [137]. Sequence variations in NPY receptor genes are associated with alcohol dependence, particularly a severe subtype of alcohol dependence characterized by withdrawal symptoms, comorbid alcohol, and cocaine dependence [138].
ACN9 The ACN9 protein is a mitochondrial protein that is involved in gluconeogenesis and metabolism of ethanol or acetate into carbohydrate [77]. Chromosome 7 that encodes ACN9 protein has shown consistent evidence of linkage with a variety of phenotypes related to alcohol dependence in the collaborative study on the genetics of alcoholism (COGA) project. Four of the eight most significant SNPs were located in or very near the ACN9 gene which encodes for the ACN9 protein, a novel mitochondrial protein involved in gluconeogenesis and the assimilation of ethanol or acetate into carbohydrate [77].
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Critical Issues in Alcohol and Drugs of Abuse Testing
Opioids The opioid system has been implicated in association with alcoholism, particularly because opioid antagonists are used successfully to manage alcohol dependence. While no significant association has been made between the mu and delta opioid receptor genes and alcohol dependence, the kappa receptor gene (OPRK1) and a gene encoding for an opioid ligand, prodynorphin (PDYN), were strongly associated with a risk of alcohol dependence [54].
PHARMACOGENETICS OF ALCOHOL DEPENDENCE TREATMENT Therapeutic approaches to alcohol abuse disorders are based in large part on acute detoxification, followed by longterm measures to prevent relapse. Indeed, addiction, risk of relapse, and remission are commonly compared in parallel to diagnosis and management of chronic disease. Several classes of drugs have been utilized for alleviation of alcohol withdrawal symptoms and dependency treatment [139]. The genetic components associated with alcohol abuse disorders, while not always defined specifically, remain strong, based on familial and twin studies as well as data described in the previous section. It is therefore logical that both the genetic factors responsible for disease and the genetic factors that may predispose therapeutic success or failure should be considered in selection of treatment modalities and management of rehabilitation. Complimentary to traditional genetics, pharmacogenetics associates genetics with interindividual variability in the two major processes responsible for drug action: pharmacokinetics and pharmacodynamics. Thus, from the perspective of pharmacogenetics, variants in genes associated with either metabolism (pharmacokinetics) or response (pharmacodynamics) of any drug used to treat alcohol dependency could impact efficacy of the drug and optimal dose requirements. Variants in genes associated with pharmacokinetics such as the genes that code for cytochrome P450 enzymes, will impact the time required for drug clearance and time to achieve steady-state concentrations. As a consequence, drug dose and interval of dosing may influence efficacy. Genes associated with pharmacodynamics correlate with the sensitivity or resistance to a particular drug action and hence, drug and drug dose requirements. Pharmacogenetic markers may therefore become important in directing addiction treatment by personalizing both drug and dose selection prior to drug administration [140143]. There are several classes of drugs applied to the treatment of alcohol abuse and dependence. Here, potential pharmacogenetic markers relative to alcohol detoxification (diazepam) and dependency treatment (disulfiram, naltrexone, acamprosate, ondansetron, topiramate, finasteride, dexmedetomidine, and bromocriptine) are discussed. Mechanism of action of disulfiram is shown in Fig. 4.2. Examples of drugs used for alcohol dependence therapy are listed in Table 4.3.
Alcohol Detoxification Benzodiazepines are the most commonly used class of drugs to treat withdrawal symptoms associated with ethanol detoxification. While dosing may be titrated to clinical need, it may be important to consider pharmacogenetic testing that could avoid unintentional overdose and fail to respond. Mechanisms of metabolism for individual benzodiazepines should be investigated because some pathways are complex and active metabolites are common. In addition, the kinetics for elimination of each drug and active metabolite vary substantially. Using diazepam as an example, several active metabolites are formed, including nordiazepam, oxazepam, and temazepam with half-lives of approximately 2040 h for diazepam and nordiazepam, and half-lives of approximately 412 h for oxazepam and temazepam. These metabolic reactions are catalyzed by cytochrome P450 (CYP) isozymes, particularly CYP2C19 and CYP3A4. These compounds are further metabolized by formation of glucuronide and other conjugates. Substantial variation in CYP and glucuronyltransferase genes has been associated with altered kinetics and risk of toxicity. Although the safety margin for benzodiazepines is good for acute administration, clinical impact of genetic variation in benzodiazepine metabolism could inadvertently contribute to toxicity if the drugs are administered frequently or for a long period of time [143]. The mechanism of action of benzodiazepines is primarily explained by affinity for the central GABAA receptor. As such, it is possible that impaired GABAergic function would prevent or impair the clinical sensitivity to benzodiazepine therapy. In the case of benzodiazepine resistance, treatment through a non-GABAergic mechanism may be required. Indeed, dexmedetomidine, a central alpha2-receptor agonist, has also been used successfully to treat alcohol withdrawal [144]. Negative modulators of NMDA glutamate receptors (e.g., acamprosate) may be useful agents for the treating withdrawal signs and symptoms [145,146].
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TABLE 4.3 Pharmacogenetics of Treatment for Alcoholism Generic Name
Trade Name
Indication for Use
Candidate Gene Related to Pharmacokinetics
Candidate Gene Related to Pharmacodynamics
Diazepam
Valium
Prevent withdrawal
CYP2C19
GABRA
CYP3A4 Many CYPs
ADH
Disulfiram
Antabuse
Maintain abstinence
Naltrexone
Depade
Maintain abstinence
OPRM1
Acamprosate
Campral
Maintain abstinence
GABRA NMDA
Ondansetron
Zofran
Experimental
Topiramate
Topamax
Experimental
CYP3A4
HTR3A GABRA GLUR
Finasteride
Propecia
Experimental
CYP3A4
GABRA
Dexmedetomidine
Precedex
Experimental
CYP2A6
ADRA2A
Bromocriptine
Parlodel
Experimental
CYP3A4
DRD2
Alcohol Dependence Treatment Many drugs, acting through different or unknown mechanisms have been successfully used to treat alcohol dependence by minimizing cravings, tapering drinking behavior, and preventing recurrence of dependency on alcohol and other substances. Long-term treatment for months to years is often required, so it is important that safety and efficacy of the drugs and dose selected are considered. Pharmacogenetic testing may assist in this selection process, by predicting drug sensitivity or resistance, and optimizing dose and dosing intervals. Early intervention may benefit from administration of disulfiram, which inhibits ALDH and promotes accumulation of acetaldehyde, leading to an unpleasant reaction (Fig. 4.2). This negative reinforcement approach, while it does not itself prevent craving, may reduce drinking behavior. Genetic variations in the ADH and ALDH genes can affect response to the alcohol dependence treatment drug disulfiram. Perhaps not surprisingly, patient compliance with disulfiram administration is reported to be poor [147,148]. Pharmacogenetic testing for ADH or ALDH variants may be considered prior to administration of disulfiram, because persons with impaired ALDH may not respond to the drug [149]. Naltrexone is another well-accepted therapy for long-term prevention of alcoholism [150]. Naltrexone is an opioid receptor antagonist and has been shown most effective for persons who possess the OPRM1 variants, particularly the Asn40 allele [151]. Craving and anxiety are treated effectively with bromocriptine, a DA antagonist, when the TaqI-A1 allele was present with DRD2. Acamprosate, which has effects at both opioid and glutamate receptors have also been used successfully to treat alcohol dependence, as might be expected based on speculation of these neurotransmitter system’s involvements in the pathogenesis of alcoholism [152]. Finally, antiepileptic drugs, long known to inhibit excessive excitation in the central nervous system, have proven successful applied to dependency treatment, particularly in reducing impulsive behavior [151,153]. Examples of antiepileptic drugs used successfully to treat alcoholism include topiramate, gabapentin, and levetiracetam [154156].
CONCLUSIONS Advances in molecular profiling technologies within the disciplines of genomics, transcriptomics, proteomics, and metabolomics will likely play an essential role in the development of prevention strategies and personalized treatments of alcoholism, as well as the identification of new therapeutic targets. In addition to available biochemical markers, an increasing number of gene variant markers have been identified. Continued evolution in array and sequencing
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Critical Issues in Alcohol and Drugs of Abuse Testing
technologies, along with the continued establishment of large data and sample repositories are important to achieve progress in a complex disorder like alcoholism. The identification of genes associated with alcohol dependence can be accomplished by several methods including candidate gene studies, whole-genome association, and linkage studies. In whole-genome studies, broad chromosomal regions are linked to a target phenotypic expression factor by means of a panel of polymorphisms [7,53]. One example of a family-based data set is the COGA that is targeted toward the identification of genes contributing to alcoholism [157,158]. A number of genome-wide association studies have been carried out which have supported many of the genotypephenotype associations described earlier in this work [55]. Investigations will increasingly need to account for both genomic and epigenomic data [159]. Epigenetic studies often demonstrate substance-specific changes to gene expression that is linked to substance intake patterns [10]. These patterns are based on changes in chemical modifications of DNA and chromatin which alters expression of genetic material. Epigenetic changes can regulate gene expression without changing the DNA code itself and have been shown to be linked to the development of many diseases processes [160162]. Alcohol intake is now well demonstrated to modify chromatin and appears to be involved in the maintenance of alcohol addiction [163]. This is an emerging and exciting frontier in our understanding and potential treatment of alcohol dependence. Alcohol abuse and dependency is a tremendous social problem, contributing to disease, crime, and inappropriate behavior. Chemical biomarkers such as mean corpuscular volume, gamma-glutamyltransferase, carbohydrate deficient transferring, ethyl glucuronide, fatty acid ethyl esters, and other chemical biomarkers may provide evidence of alcohol use, abuse, and compliance with abstinence. However, genetic testing may provide additional tools for management of alcohol abuse by detecting individuals at risk for alcoholism. It is well recognized that the risk of developing alcoholism is closely related to both environmental and genetic factors. In fact, it is estimated that 50%60% of the factors associated with alcoholism are genetic in origin. There are currently 10 tests available for alcohol dependency according to the national genetic test registry [164]. Genetic testing to identify individuals at risk for alcohol abuse may prevent alcohol use disorders, allow for early intervention, or direct therapy. Therapy of alcoholism may include medications that curb craving and anxiety, and may be optimized through the use of pharmacogenetic testing. Indeed, testing genes related to the metabolism of ethanol, the pathogenesis of alcoholism, and the genes linked to successful therapy may be employed to identify susceptibility to alcohol use disorders [13].
REFERENCES [1] Garbutt JC, West SL, Carey TS, Lohr KN, et al. Pharmacological treatment of alcohol dependence: a review of the evidence. JAMA 1999;281 (14):131825. [2] Wiese JG, Shlipak MG, Browner WS. The alcohol hangover. Ann Intern Med 2000;132(11):897902. [3] Rehm J, Room R, Monteiro M, Gmel G, et al. Alcohol as a risk factor for global burden of disease. Eur Addict Res 2003;9(4):15764. [4] Room R, Graham K, Rehm J, Jernigan D, et al. Drinking and its burden in a global perspective: policy considerations and options. Eur Addict Res 2003;9(4):16575. [5] Stickel F, Moreno C, Hampe J, Morgan MY. The genetics of alcohol dependence and alcohol-related liver disease. J Hepatol 2017;66 (1):195211. [6] World Health Organization. Global status report on alcohol and health-2014 e.G.W.H.O. 2014, Editor.: http://www.who.int/substance_abuse/ publications/global_alcohol_report/en/. [7] Bornhorst J, Stone A, Brown J, Light K. Slate and trait markers of alcohol abuse. In: Dasgupta A, Langman L, editors. Pharmacogenomics of alcohol abuse. CRC Press; 2012. [8] Wozniak MK, Wiergowski M, Namiesnik J, Biziuk M. Biomarkers of alcohol consumption in body fluids—possibilities and limitations of application in toxicological analysis. Curr Med Chem 2017. [9] Cabarcos P, Alvarez I, Tabernero MJ, Bermejo AM. Determination of direct alcohol markers: a review. Anal Bioanal Chem 2015;407 (17):490725. [10] Prom-Wormley EC, Ebejer J, Dick DM, Bowers MS. The genetic epidemiology of substance use disorder: a review. Drug Alcohol Depend 2017;180:24159. [11] Edenberg HJ, Foroud T. Genetics of alcoholism. Handb Clin Neurol 2014;125:56171. [12] Room R, Babor T, Rehm J. Alcohol and public health. Lancet 2005;365(9458):51930. [13] Rehm J, Room R, Graham K, Monteiro M, et al. The relationship of average volume of alcohol consumption and patterns of drinking to burden of disease: an overview. Addiction 2003;98(9):120928. [14] WHO. Expert committee on problems related to alcohol consumption. Second report. World Health Organ Tech Rep Ser 2007;944:153 557, back cover. [15] Das SK, Dhanya L, Vasudevan DM. Biomarkers of alcoholism: an updated review. Scand J Clin Lab Invest 2008;68(2):8192. [16] Niemela O. Biomarkers in alcoholism. Clin Chim Acta 2007;377(12):3949.
Genetic Markers Related to Alcohol Use and Abuse Chapter | 4
53
[17] Delker E, Brown Q, Hasin DS. Alcohol consumption in demographic subpopulations: an epidemiologic overview. Alcohol Res 2016;38 (1):715. [18] Hasin DS, Stinson FS, Ogburn E, Grant BF. Prevalence, correlates, disability, and comorbidity of DSM-IV alcohol abuse and dependence in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry 2007;64(7):83042. [19] LaVallee, RA, GD Williams, and H Yi, Surveillance report #87: apparent per capita alcohol consumption: national, state, and regional trends: 19702007. Bethesda, MD: National Institute on Alcohol Abuse and Alcoholism, Division of Epidemiology and Prevention Research; 2009. [20] White am, Slater ME, Ng G, Hingson R, et al. Trends in alcohol-related emergency department visits in the United States: results from the nationwide emergency department sample, 2006 to 2014. Alcohol: Clin Exp Res 2018;42(2):3529. [21] Lieber CS. Medical disorders of alcoholism. N Engl J Med 1995;333(16):105865. [22] Cargiulo T. Understanding the health impact of alcohol dependence. Am J Health Syst Pharm 2007;64(5 Suppl. 3):S511. [23] Corrao G, Bagnardi V, Zambon A, La Vecchia C. A meta-analysis of alcohol consumption and the risk of 15 diseases. Prev Med 2004;38 (5):61319. [24] Goldberg DM, Hahn SE, Parkes JG. Beyond alcohol: beverage consumption and cardiovascular mortality. Clin Chim Acta 1995;237 (12):15587. [25] The NSDUH report: alcohol treatment: need, utilization and barriers. Rockville, MD: Substance Abuse and Mental Health Services Administration, Office of Applied Studies; 2009. [26] Hasin Deborah S, Kerridge Bradley T, Saha Tulshi D, Huang Boji, et al. Prevalence and correlates of DSM-5 cannabis use disorder, 20122013: findings from the National Epidemiologic Survey on Alcohol and Related Conditions—III. Am J Psychiatr 2016;173(6):58899. [27] American Psychiatric Association: diagnostic and statistical manual of mental disorders, fourth edition, text revision. Washington, DC: American Psychiatric Association; 2000. [28] Compton WM, Thomas YF, Stinson FS, Grant BF. Prevalence, correlates, disability, and comorbidity of DSM-IV drug abuse and dependence in the United States: results from the national epidemiologic survey on alcohol and related conditions. Arch Gen Psychiatry 2007;64 (5):56676. [29] Schulden JD, Thomas YF, Compton WM. Substance abuse in the United States: findings from recent epidemiologic studies. Curr Psychiatry Rep 2009;11(5):3539. [30] Kessler RC, Crum RM, Warner LA, Nelson CB, et al. Lifetime co-occurrence of DSM-III-R alcohol abuse and dependence with other psychiatric disorders in the National Comorbidity Survey. Arch Gen Psychiatry 1997;54(4):31321. [31] SAMHSA, Results from the 2009 national survey on drug use and health: volume II. Technical appendices and selected prevalence tables; 2010. [32] Koob GF. Neurobiological substrates for the dark side of compulsivity in addiction. Neuropharmacology 2009;56(Suppl. 1):1831. [33] Wu AH, McKay C, Broussard LA, Hoffman RS, et al. National academy of clinical biochemistry laboratory medicine practice guidelines: recommendations for the use of laboratory tests to support poisoned patients who present to the emergency department. Clin Chem 2003;49 (3):35779. [34] Nurnberger Jr. JI, Wiegand R, Bucholz K, O’Connor S, et al. A family study of alcohol dependence: coaggregation of multiple disorders in relatives of alcohol-dependent probands. Arch Gen Psychiatry 2004;61(12):124656. [35] Goldman D, Oroszi G, Ducci F. The genetics of addictions: uncovering the genes. Nat Rev Genet 2005;6(7):52132. [36] Prescott CA, Kendler KS. Genetic and environmental contributions to alcohol abuse and dependence in a population-based sample of male twins. Am J Psychiatry 1999;156(1):3440. [37] Bienvenu OJ, Davydow DS, Kendler KS. Psychiatric ‘diseases’ vs behavioral disorders and degree of genetic influence. Psychol Med 2011;41 (1):3340. [38] Strat YL, Ramoz N, Schumann G, Gorwood P. Molecular genetics of alcohol dependence and related endophenotypes. Curr Genomics 2008;9 (7):44451. [39] Yang BZ, Kranzler HR, Zhao H, Gruen JR, et al. Association of haplotypic variants in DRD2, ANKK1, TTC12 and NCAM1 to alcohol dependence in independent case control and family samples. Hum Mol Genet 2007;16(23):284453. [40] Stacey D, Clarke TK, Schumann G. The genetics of alcoholism. Curr Psychiatry Rep 2009;11(5):3649. [41] Schermer CR. Feasibility of alcohol screening and brief intervention. J Trauma 2005;59(3 Suppl.):S11923 discussion S12433. [42] Galvan FH, Caetano R. Alcohol use and related problems among ethnic minorities in the United States. Alcohol Res Health 2003;27(1):8794. [43] Glanz J, Grant B, Monteiro M, Tabakoff B. WHO/ISBRA Study on State and Trait Markers of Alcohol Use and Dependence: analysis of demographic, behavioral, physiologic, and drinking variables that contribute to dependence and seeking treatment. International Society on Biomedical Research on Alcoholism. Alcohol Clin Exp Res 2002;26(7):104761. [44] Hannuksela ML, Liisanantti MK, Nissinen AE, Savolainen MJ. Biochemical markers of alcoholism. Clin Chem Lab Med 2007;45(8):95361. [45] Kraemer KL. The cost-effectiveness and cost-benefit of screening and brief intervention for unhealthy alcohol use in medical settings. Subst Abus 2007;28(3):6777. [46] Gentilello LM, Ebel BE, Wickizer TM, Salkever DS, et al. Alcohol interventions for trauma patients treated in emergency departments and hospitals: a cost benefit analysis. Ann Surg 2005;241(4):54150. [47] Mayfield RD, Harris RA, Schuckit MA. Genetic factors influencing alcohol dependence. Br J Pharmacol 2008;154(2):27587. [48] Heath AC, Bucholz KK, Madden PA, Dinwiddie SH, et al. Genetic and environmental contributions to alcohol dependence risk in a national twin sample: consistency of findings in women and men. Psychol Med 1997;27(6):138196.
54
Critical Issues in Alcohol and Drugs of Abuse Testing
[49] Radel M, Goldman D. Pharmacogenetics of alcohol response and alcoholism: the interplay of genes and environmental factors in thresholds for alcoholism. Drug Metab Dispos 2001;29(4 Pt 2):48994. [50] Crabbe JC. Alcohol and genetics: new models. Am J Med Genet 2002;114(8):96974. [51] Dick DM, Foroud T. Candidate genes for alcohol dependence: a review of genetic evidence from human studies. Alcohol Clin Exp Res 2003;27(5):86879. [52] Dick DM, Bierut LJ. The genetics of alcohol dependence. Curr Psychiatry Rep 2006;8(2):1517. [53] Ducci F, Goldman D. Genetic approaches to addiction: genes and alcohol. Addiction 2008;103(9):141428. [54] Kohnke MD. Approach to the genetics of alcoholism: a review based on pathophysiology. Biochem Pharmacol 2008;75(1):16077. [55] Stickel F, Datz C, Hampe J, Bataller R. Pathophysiology and management of alcoholic liver disease: update 2016. Gut Liver 2017;11 (2):17388. [56] Available from: https://www.pharmgkb.org/chemical/PA448073/clinicalAnnotation. [57] Zakhari S. Overview: how is alcohol metabolized by the body? Alcohol Res Health 2006;29(4):24554. [58] Li TK. Pharmacogenetics of responses to alcohol and genes that influence alcohol drinking. J Stud Alcohol 2000;61(1):512. [59] Kuo PH, Kalsi G, Prescott CA, Hodgkinson CA, et al. Association of ADH and ALDH genes with alcohol dependence in the Irish Affected Sib Pair Study of alcohol dependence (IASPSAD) sample. Alcohol Clin Exp Res 2008;32(5):78595. [60] Williams JT, Begleiter H, Porjesz B, Edenberg HJ, et al. Joint multipoint linkage analysis of multivariate qualitative and quantitative traits. II. Alcoholism and event-related potentials. Am J Hum Genet 1999;65(4):114860. [61] Sherva R, Rice JP, Neuman RJ, Rochberg N, et al. Associations and interactions between SNPs in the alcohol metabolizing genes and alcoholism phenotypes in European Americans. Alcohol Clin Exp Res 2009;33(5):84857. [62] Corbett J, Saccone NL, Foroud T, Goate A, et al. A sex-adjusted and age-adjusted genome screen for nested alcohol dependence diagnoses. Psychiatr Genet 2005;15(1):2530. [63] Prescott CA, Sullivan PF, Kuo PH, Webb BT, et al. Genomewide linkage study in the Irish affected sib pair study of alcohol dependence: evidence for a susceptibility region for symptoms of alcohol dependence on chromosome 4. Mol Psychiatry 2006;11(6):60311. [64] Edenberg HJ. The genetics of alcohol metabolism: role of alcohol dehydrogenase and aldehyde dehydrogenase variants. Alcohol Res Health 2007;30(1):513. [65] Chen CC, Lu RB, Chen YC, Wang MF, et al. Interaction between the functional polymorphisms of the alcohol-metabolism genes in protection against alcoholism. Am J Hum Genet 1999;65(3):795807. [66] Crabb DW, Matsumoto M, Chang D, You M. Overview of the role of alcohol dehydrogenase and aldehyde dehydrogenase and their variants in the genesis of alcohol-related pathology. Proc Nutr Soc 2004;63(1):4963. [67] Macgregor S, Lind PA, Bucholz KK, Hansell NK, et al. Associations of ADH and ALDH2 gene variation with self report alcohol reactions, consumption and dependence: an integrated analysis. Hum Mol Genet 2009;18(3):58093. [68] Neumark YD, Friedlander Y, Thomasson HR, Li TK. Association of the ADH2*2 allele with reduced ethanol consumption in Jewish men in Israel: a pilot study. J Stud Alcohol 1998;59(2):1339. [69] Whitfield JB, Nightingale BN, Bucholz KK, Madden PA, et al. ADH genotypes and alcohol use and dependence in Europeans. Alcohol Clin Exp Res 1998;22(7):14639. [70] Luo X, Kranzler HR, Zuo L, Wang S, et al. Diplotype trend regression analysis of the ADH gene cluster and the ALDH2 gene: multiple significant associations with alcohol dependence. Am J Hum Genet 2006;78(6):97387. [71] Eng MY, Luczak SE, Wall TL. ALDH2, ADH1B, and ADH1C genotypes in Asians: a literature review. Alcohol Res Health 2007;30(1):227. [72] Wall TL, Johnson ML, Horn SM, Carr LG, et al. Evaluation of the self-rating of the effects of alcohol form in Asian Americans with aldehyde dehydrogenase polymorphisms. J Stud Alcohol 1999;60(6):7849. [73] Saccone NL, Kwon JM, Corbett J, Goate A, et al. A genome screen of maximum number of drinks as an alcoholism phenotype. Am J Med Genet 2000;96(5):6327. [74] Wise RA, Rompre PP. Brain dopamine and reward. Annu Rev Psychol 1989;40:191225. [75] McBride WJ, Bodart B, Lumeng L, Li TK. Association between low contents of dopamine and serotonin in the nucleus accumbens and high alcohol preference. Alcohol Clin Exp Res 1995;19(6):14202. [76] Lawford BR, Young RM, Rowell JA, Gibson JN, et al. Association of the D2 dopamine receptor A1 allele with alcoholism: medical severity of alcoholism and type of controls. Biol Psychiatry 1997;41(4):38693. [77] Conner BT, Noble EP, Berman SM, Ozkaragoz T, et al. DRD2 genotypes and substance use in adolescent children of alcoholics. Drug Alcohol Depend 2005;79(3):37987. [78] Connor JP, Young RM, Lawford BR, Saunders JB, et al. Heavy nicotine and alcohol use in alcohol dependence is associated with D2 dopamine receptor (DRD2) polymorphism. Addict Behav 2007;32(2):31019. [79] Joe KH, Kim DJ, Park BL, Yoon S, et al. Genetic association of DRD2 polymorphisms with anxiety scores among alcohol-dependent patients. Biochem Biophys Res Commun 2008;371(4):5915. [80] Smith L, Watson M, Gates S, Ball D, et al. Meta-analysis of the association of the Taq1A polymorphism with the risk of alcohol dependency: a HuGE gene-disease association review. Am J Epidemiol 2008;167(2):12538. [81] Bolos AM, Dean M, Lucas-Derse S, Ramsburg M, et al. Population and pedigree studies reveal a lack of association between the dopamine D2 receptor gene and alcoholism. JAMA 1990;264(24):315660. [82] Cook BL, Wang ZW, Crowe RR, Hauser R, et al. Alcoholism and the D2 receptor gene. Alcohol Clin Exp Res 1992;16(4):8069.
Genetic Markers Related to Alcohol Use and Abuse Chapter | 4
55
[83] Heinz A, Sander T, Harms H, Finckh U, et al. Lack of allelic association of dopamine D1 and D2 (TaqIA) receptor gene polymorphisms with reduced dopaminergic sensitivity to alcoholism. Alcohol Clin Exp Res 1996;20(6):110913. [84] Neville MJ, Johnstone EC, Walton RT. Identification and characterization of ANKK1: a novel kinase gene closely linked to DRD2 on chromosome band 11q23.1. Hum Mutat 2004;23(6):5405. [85] Volkow ND, Wang GJ, Telang F, Fowler JS, et al. Profound decreases in dopamine release in striatum in detoxified alcoholics: possible orbitofrontal involvement. J Neurosci 2007;27(46):127006. [86] Ponce G, Hoenicka J, Jimenez-Arriero MA, Rodriguez-Jimenez R, et al. DRD2 and ANKK1 genotype in alcohol-dependent patients with psychopathic traits: association and interaction study. Br J Psychiatry 2008;193(2):1215. [87] Van Tol HH, Bunzow JR, Guan HC, Sunahara RK, et al. Cloning of the gene for a human dopamine D4 receptor with high affinity for the antipsychotic clozapine. Nature 1991;350(6319):61014. [88] Van Tol HH, Wu CM, Guan HC, Ohara K, et al. Multiple dopamine D4 receptor variants in the human population. Nature 1992;358 (6382):14952. [89] Benjamin J, Li L, Patterson C, Greenberg BD, et al. Population and familial association between the D4 dopamine receptor gene and measures of novelty seeking. Nat Genet 1996;12(1):814. [90] Ebstein RP, Zohar AH, Benjamin J, Belmaker RH. An update on molecular genetic studies of human personality traits. Appl Bioinformatics 2002;1(2):5768. [91] Vandenbergh DJ, Persico AM, Hawkins AL, Griffin CA, et al. Human dopamine transporter gene (DAT1) maps to chromosome 5p15.3 and displays a VNTR. Genomics 1992;14(4):11046. [92] Samochowiec J, Kucharska-Mazur J, Grzywacz A, Jablonski M, et al. Family-based and case-control study of DRD2, DAT, 5HTT, COMT genes polymorphisms in alcohol dependence. Neurosci Lett 2006;410(1):15. [93] Dobashi I, Inada T, Hadano K. Alcoholism and gene polymorphisms related to central dopaminergic transmission in the Japanese population. Psychiatr Genet 1997;7(2):8791. [94] Muramatsu T, Higuchi S. Dopamine transporter gene polymorphism and alcoholism. Biochem Biophys Res Commun 1995;211(1):2832. [95] Sander T, Harms H, Podschus J, Finckh U, et al. Allelic association of a dopamine transporter gene polymorphism in alcohol dependence with withdrawal seizures or delirium. Biol Psychiatry 1997;41(3):299304. [96] Kohnke MD, Batra A, Kolb W, Kohnke AM, et al. Association of the dopamine transporter gene with alcoholism. Alcohol Alcohol 2005;40 (5):33942. [97] Franke P, Schwab SG, Knapp M, Gansicke M, et al. DAT1 gene polymorphism in alcoholism: a family-based association study. Biol Psychiatry 1999;45(5):6524. [98] Foley PF, Loh EW, Innes DJ, Williams SM, et al. Association studies of neurotransmitter gene polymorphisms in alcoholic Caucasians. Ann N Y Acad Sci 2004;1025:3946. [99] Chen J, Lipska BK, Halim N, Ma QD, et al. Functional analysis of genetic variation in catechol-O-methyltransferase (COMT): effects on mRNA, protein, and enzyme activity in postmortem human brain. Am J Hum Genet 2004;75(5):80721. [100] Goldman D, Oroszi G, O’Malley S, Anton R. COMBINE genetics study: the pharmacogenetics of alcoholism treatment response: genes and mechanisms. J Stud Alcohol Suppl 2005;(15):5664 discussion 33. [101] Hallikainen T, Lachman H, Saito T, Volavka J, et al. Lack of association between the functional variant of the catechol-o-methyltransferase (COMT) gene and early-onset alcoholism associated with severe antisocial behavior. Am J Med Genet 2000;96(3):34852. [102] Vanyukov MM, Moss HB, Yu LM, Tarter RE, et al. Preliminary evidence for an association of a dinucleotide repeat polymorphism at the MAOA gene with early onset alcoholism/substance abuse. Am J Med Genet 1995;60(2):1226. [103] Hsu YP, Loh EW, Chen WJ, Chen CC, et al. Association of monoamine oxidase A alleles with alcoholism among male Chinese in Taiwan. Am J Psychiatry 1996;153(9):120911. [104] Badner JA, Gershon ES. Meta-analysis of whole-genome linkage scans of bipolar disorder and schizophrenia. Mol Psychiatry 2002;7 (4):40511. [105] Lotta T, Vidgren J, Tilgmann C, Ulmanen I, et al. Kinetics of human soluble and membrane-bound catechol O-methyltransferase: a revised mechanism and description of the thermolabile variant of the enzyme. Biochemistry 1995;34(13):420210. [106] Matsumoto M, Weickert CS, Akil M, Lipska BK, et al. Catechol O-methyltransferase mRNA expression in human and rat brain: evidence for a role in cortical neuronal function. Neuroscience 2003;116(1):12737. [107] Kauhanen J, Hallikainen T, Tuomainen TP, Koulu M, et al. Association between the functional polymorphism of catechol-O-methyltransferase gene and alcohol consumption among social drinkers. Alcohol Clin Exp Res 2000;24(2):1359. [108] Enoch MA, Xu K, Ferro E, Harris CR, et al. Genetic origins of anxiety in women: a role for a functional catechol-O-methyltransferase polymorphism. Psychiatr Genet 2003;13(1):3341. [109] COMBINE, S.R.G. Testing combined pharmacotherapies and behavioral interventions in alcohol dependence: rationale and methods. Alcohol Clin Exp Res 2003;27(7):110722. [110] COMBINE, S.R.G. Testing combined pharmacotherapies and behavioral interventions for alcohol dependence (the COMBINE study): a pilot feasibility study. Alcohol Clin Exp Res 2003;27(7):112331. [111] Kohnke MD, Kolb W, Kohnke AM, Lutz U, et al. DBH*444G/A polymorphism of the dopamine-beta-hydroxylase gene is associated with alcoholism but not with severe alcohol withdrawal symptoms. J Neural Transm 2006;113(7):86976.
56
Critical Issues in Alcohol and Drugs of Abuse Testing
[112] Kohnke MD, Zabetian CP, Anderson GM, Kolb W, et al. A genotype-controlled analysis of plasma dopamine beta-hydroxylase in healthy and alcoholic subjects: evidence for alcohol-related differences in noradrenergic function. Biol Psychiatry 2002;52(12):11518. [113] Freire MT, Hutz MH, Bau CH. The DBH-1021 C/T polymorphism is not associated with alcoholism but possibly with patients’ exposure to life events. J Neural Transm 2005;112(9):126974. [114] Long JC, Knowler WC, Hanson RL, Robin RW, et al. Evidence for genetic linkage to alcohol dependence on chromosomes 4 and 11 from an autosome-wide scan in an American Indian population. Am J Med Genet 1998;81(3):21621. [115] Radel M, Vallejo RL, Iwata N, Aragon R, et al. Haplotype-based localization of an alcohol dependence gene to the 5q34 {gamma}-aminobutyric acid type A gene cluster. Arch Gen Psychiatry 2005;62(1):4755. [116] Sander T, Samochowiec J, Ladehoff M, Smolka M, et al. Association analysis of exonic variants of the gene encoding the GABAB receptor and alcohol dependence. Psychiatr Genet 1999;9(2):6973. [117] Kohnke M, Schick S, Lutz U, Kohnke A, et al. The polymorphism GABABR1 T1974C[rs29230] of the GABAB receptor gene is not associated with the diagnosis of alcoholism or alcohol withdrawal seizures. Addict Biol 2006;11(2):1526. [118] Johnston GA, Chebib M, Hanrahan JR, Mewett KN. Neurochemicals for the Investigation of GABA(C) receptors. Neurochem Res 2010;35 (12):19707. [119] Rae C, Nasrallah FA, Griffin JL, Balcar VJ. Now I know my ABC. A systems neurochemistry and functional metabolomic approach to understanding the GABAergic system. J Neurochem 2009;109(Suppl. 1):10916. [120] Ait-Daoud N, Lynch WJ, Penberthy JK, Breland AB, et al. Treating smoking dependence in depressed alcoholics. Alcohol Res Health 2006;29(3):21320. [121] Wang JC, Hinrichs AL, Stock H, Budde J, et al. Evidence of common and specific genetic effects: association of the muscarinic acetylcholine receptor M2 (CHRM2) gene with alcohol dependence and major depressive syndrome. Hum Mol Genet 2004;13(17):190311. [122] Dick DM, Aliev F, Kramer J, Wang JC, et al. Association of CHRM2 with IQ: converging evidence for a gene influencing intelligence. Behav Genet 2007;37(2):26572. [123] Luo X, Kranzler HR, Zuo L, Wang S, et al. CHRM2 gene predisposes to alcohol dependence, drug dependence and affective disorders: results from an extended case-control structured association study. Hum Mol Genet 2005;14(16):242134. [124] Swan GE, Carmelli D, Cardon LR. The consumption of tobacco, alcohol, and coffee in Caucasian male twins: a multivariate genetic analysis. J Subst Abuse 1996;8(1):1931. [125] Swan GE, Carmelli D, Cardon LR. Heavy consumption of cigarettes, alcohol and coffee in male twins. J Stud Alcohol 1997;58(2):18290. [126] True WR, Xian H, Scherrer JF, Madden PA, et al. Common genetic vulnerability for nicotine and alcohol dependence in men. Arch Gen Psychiatry 1999;56(7):65561. [127] Hettema JM, Corey LA, Kendler KS. A multivariate genetic analysis of the use of tobacco, alcohol, and caffeine in a population based sample of male and female twins. Drug Alcohol Depend 1999;57(1):6978. [128] Chatterjee S, Bartlett SE. Neuronal nicotinic acetylcholine receptors as pharmacotherapeutic targets for the treatment of alcohol use disorders. CNS Neurol Disord Drug Targets 2010;9(1):6076. [129] Wernicke C, Samochowiec J, Schmidt LG, Winterer G, et al. Polymorphisms in the N-methyl-D-aspartate receptor 1 and 2B subunits are associated with alcoholism-related traits. Biol Psychiatry 2003;54(9):9228. [130] Schumann G, Rujescu D, Szegedi A, Singer P, et al. No association of alcohol dependence with a NMDA-receptor 2B gene variant. Mol Psychiatry 2003;8(1):1112. [131] Johnson BA, Ait-Daoud N, Bowden CL, DiClemente CC, et al. Oral topiramate for treatment of alcohol dependence: a randomised controlled trial. Lancet 2003;361(9370):167785. [132] Kranzler HR, Anton RF. Implications of recent neuropsychopharmacologic research for understanding the etiology and development of alcoholism. J Consult Clin Psychol 1994;62(6):111626. [133] Feinn R, Nellissery M, Kranzler HR. Meta-analysis of the association of a functional serotonin transporter promoter polymorphism with alcohol dependence. Am J Med Genet B Neuropsychiatr Genet 2005;133B(1):7984. [134] Halliday G, Ellis J, Heard R, Caine D, et al. Brainstem serotonergic neurons in chronic alcoholics with and without the memory impairment of Korsakoff’s psychosis. J Neuropathol Exp Neurol 1993;52(6):56779. [135] Dick DM, Plunkett J, Hamlin D, Nurnberger Jr. J, et al. Association analyses of the serotonin transporter gene with lifetime depression and alcohol dependence in the Collaborative Study on the Genetics of Alcoholism (COGA) sample. Psychiatr Genet 2007;17(1):358. [136] Pinto E, Reggers J, Gorwood P, Boni C, et al. The short allele of the serotonin transporter promoter polymorphism influences relapse in alcohol dependence. Alcohol Alcohol 2008;43(4):398400. [137] Vengeliene V, Bilbao A, Molander A, Spanagel R. Neuropharmacology of alcohol addiction. Br J Pharmacol 2008;154(2):299315. [138] Wetherill L, Schuckit MA, Hesselbrock V, Xuei X, et al. Neuropeptide Y receptor genes are associated with alcohol dependence, alcohol withdrawal phenotypes, and cocaine dependence. Alcohol Clin Exp Res 2008. [139] McMillin GA, Mellis R, Bornhorst J. Alcohol abuse and dependency genetics of susceptibility and pharmacogenetics of therapy. In: Dasgupta A, editor. Critical issues in drug abuse testing. Humana Press; 2009. [140] Haile CN, Kosten TA, Kosten TR. Pharmacogenetic treatments for drug addiction: alcohol and opiates. Am J Drug Alcohol Abuse 2008;34 (4):35581. [141] Ingelman-Sundberg M, Sim SC, Gomez A, Rodriguez-Antona C. Influence of cytochrome P450 polymorphisms on drug therapies: pharmacogenetic, pharmacoepigenetic and clinical aspects. Pharmacol Ther 2007;116(3):496526.
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[142] Kirchheiner J, Seeringer A. Clinical implications of pharmacogenetics of cytochrome P450 drug metabolizing enzymes. Biochim Biophys Acta 2007;1770(3):48994. [143] Fukasawa T, Suzuki A, Otani K. Effects of genetic polymorphism of cytochrome P450 enzymes on the pharmacokinetics of benzodiazepines. J Clin Pharm Ther 2007;32(4):33341. [144] Darrouj J, Puri N, Prince E, Lomonaco A, et al. Dexmedetomidine infusion as adjunctive therapy to benzodiazepines for acute alcohol withdrawal (November). Ann Pharmacother 2008. [145] Kotlinska J, Bochenski M. The influence of various glutamate receptors antagonists on anxiety-like effect of ethanol withdrawal in a plusmaze test in rats. Eur J Pharmacol 2008. [146] Palachick B, Chen YC, Enoch AJ, Karlsson RM, et al. Role of major NMDA or AMPA receptor subunits in MK-801 potentiation of ethanol intoxication. Alcohol Clin Exp Res 2008;32(8):147992. [147] O’Brien CP. Anticraving medications for relapse prevention: a possible new class of psychoactive medications. Am J Psychiatry 2005;162 (8):142331. [148] Fuller RK, Branchey L, Brightwell DR, Derman RM, et al. Disulfiram treatment of alcoholism. A veterans administration cooperative study. JAMA 1986;256(11):144955. [149] Harada S, Misawa S, Agarwal DP, Goedde HW. Liver alcohol dehydrogenase and aldehyde dehydrogenase in the Japanese: isozyme variation and its possible role in alcohol intoxication. Am J Hum Genet 1980;32(1):815. [150] Anton RF, Oroszi G, O’Malley S, Couper D, et al. An evaluation of mu-opioid receptor (OPRM1) as a predictor of naltrexone response in the treatment of alcohol dependence: results from the Combined Pharmacotherapies and Behavioral Interventions for Alcohol Dependence (COMBINE) study. Arch Gen Psychiatry 2008;65(2):13544. [151] Quickfall J, el-Guebaly N. Genetics and alcoholism: how close are we to potential clinical applications? Can J Psychiatry 2006;51(7):4617. [152] Mann K, Kiefer F, Spanagel R, Littleton J. Acamprosate: recent findings and future research directions. Alcohol Clin Exp Res 2008;32 (7):110510. [153] Ray LA, Hutchison KE. Effects of naltrexone on alcohol sensitivity and genetic moderators of medication response: a double-blind placebocontrolled study. Arch Gen Psychiatry 2007;64(9):106977. [154] Roberto M, Gilpin NW, O’Dell LE, Cruz MT, et al. Cellular and behavioral interactions of gabapentin with alcohol dependence. J Neurosci 2008;28(22):576271. [155] Sarid-Segal O, Piechniczek-Buczek J, Knapp C, Afshar M, et al. The effects of levetiracetam on alcohol consumption in alcohol-dependent subjects: an open label study. Am J Drug Alcohol Abuse 2008;34(4):4417. [156] Olmsted CL, Kockler DR. Topiramate for alcohol dependence. Ann Pharmacother 2008;42(10):147580. [157] Bierut LJ, Agrawal A, Bucholz KK, Doheny KF, et al. A genome-wide association study of alcohol dependence. Proc Natl Acad Sci U S A 2010;107(11):50827. [158] Edenberg HJ, Koller DL, Xuei X, Wetherill L, et al. Genome-wide association study of alcohol dependence implicates a region on chromosome 11. Alcohol Clin Exp Res 2010;34(5):84052. [159] Haycock PC. Fetal alcohol spectrum disorders: the epigenetic perspective. Biol Reprod 2009;81(4):60717. [160] Feinberg AP, Irizarry RA, Fradin D, Aryee MJ, et al. Personalized epigenomic signatures that are stable over time and covary with body mass index. Sci Transl Med 2010;2(49):49ra67. [161] Satterlee JS, Schubeler D, Ng HH. Tackling the epigenome: challenges and opportunities for collaboration. Nat Biotechnol 2010;28 (10):103944. [162] Portela A, Esteller M. Epigenetic modifications and human disease. Nat Biotechnol 2010;28(10):105768. [163] Palmisano M, Pandey SC. Epigenetic mechanisms of alcoholism and stress-related disorders. Alcohol 2017;60:718. [164] Rubinstein WS, Maglott DR, Lee JM, Kattman BL, et al. The NIH genetic testing registry: a new, centralized database of genetic tests to enable access to comprehensive information and improve transparency. Nucleic Acids Res 2013;41(Database issue):D92535.