Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2013 Mar 27.
Published in final edited form as: J Genet Syndr Gene Ther. 2013 Feb 10;4(121):1000121. doi: 10.4172/2157-7412.1000121

Dopamine Genetics and Function in Food and Substance Abuse

K Blum 1,3,9,*, M Oscar-Berman 2, D Barh 3, J Giordano 5, MS Gold 1
PMCID: PMC3609029  NIHMSID: NIHMS451750  PMID: 23543775

Abstract

Having entered the genomics era with confidence in the future of medicine, including psychiatry, identifying the role of DNA and polymorphic associations with brain reward circuitry has led to a new understanding of all addictive behaviors. It is noteworthy that this strategy may provide treatment for the millions who are the victims of “Reward Deficiency Syndrome” (RDS) a genetic disorder of brain reward circuitry. This article will focus on drugs and food being mutuality addictive, and the role of dopamine genetics and function in addictions, including the interaction of the dopamine transporter, and sodium food. We will briefly review our concept that concerns the genetic antecedents of multiple–addictions (RDS). Studies have also shown that evaluating a panel of established reward genes and polymorphisms enables the stratification of genetic risk to RDS. The panel is called the “Genetic Addiction Risk Score (GARS)”, and is a tool for the diagnosis of a genetic predisposition for RDS. The use of this test, as pointed out by others, would benefit the medical community by identifying at risk individuals at a very early age. We encourage, in depth work in both animal and human models of addiction. We encourage further exploration of the neurogenetic correlates of the commonalities between food and drug addiction and endorse forward thinking hypotheses like “The Salted Food Addiction Hypothesis”.

Keywords: Food addiction, Substance Use Disorder (SUD), Reward Deficiency Syndrome (RDS), Dopaminergic gene polymorphisms, Neurogenetics

Introduction

Dopamine (DA) is a neurotransmitter in the brain, which controls feelings of wellbeing. This sense of wellbeing results from the interaction of DA and neurotransmitters such as serotonin, the opioids, and other brain chemicals. Low serotonin levels are associated with depression. High levels of the opioids (the brain’s opium) are also associated with a sense of wellbeing [1]. Moreover, DA receptors, a class of G-protein coupled receptors (GPCRs), have been targeted for drug development for the treatment of neurological, psychiatric and ocular disorders [2]. DA has been called the “anti-stress” and/or “pleasure” molecule, but this has been recently debated by Salamone and Correa [3] and Sinha [4].

Accordingly, we have argued [5-8] that Nucleus accumbens (NAc) DA has a role in motivational processes, and that mesolimbic DA dysfunction may contribute to motivational symptoms of depression, features of substance abuse and other disorders [3]. Although it has become traditional to label DA neurons as reward neurons, this is an over generalization, and it is necessary to consider how different aspects of motivation are affected by dopaminergic manipulations. For example, NAc DA is involved in Pavlovian processes, and instrumental learning appetitive-approach behavior, aversive motivation, behavioral activation processes sustained task engagement and exertion of effort although it does not mediate initial hunger, motivation to eat or appetite [3,5-7].

While it is true that NAc DA is involved in appetitive and aversive motivational processes we argue that DA is also involved as an important mediator in primary food motivation or appetite similar to drugs of abuse. A review of the literature provides a number of papers that show the importance of DA in food craving behavior and appetite mediation [6,7]. Gold has pioneered the concept of food addiction [5-8]. Avena et al. [9] correctly argue that because addictive drugs avtivate the same neurological pathways that evolved to respond to natural rewards, addiction to food seems plausible. Moreover, sugar per se is noteworthy as a substance that releases opioids and DA and thus might be expected to have addictive potential. Specifically, neural adaptations include changes in DA and opioid receptor binding, enkephalin mRNA expression and DA and acetylcholine release in the NAc. The evidence supports the hypothesis that under certain circumstances rats can become sugar dependent.

The work of Wang et al. [10] involving brain imaging studies in humans has implicated DA-modulated circuits in pathologic eating behavior(s). Their studies suggest that the DA in the extracellular space of the striatum is increased by food cues, this is evidence that DA is potentially involved in the non-hedonic motivational properties of food. They also found that orbitofrontal cortex metabolism is increased by food cues indicating that this region is associated with motivation for the mediation of food consumption. There is an observed reduction in striatal DA D2 receptor availability in obese subjects, similar to the reduction in drug-addicted subjects, thus obese subjects may be predisposed to use food to compensate temporarily for under stimulated reward circuits [11]. In essence, the powerful reinforcing effects of both food and drugs are in part mediated by abrupt DA increases in the mesolimbic brain reward centers. Volkow et al. [11] point out that abrupt DA increases can override homeostatic control mechanisms in the brain’s of vulnerable individuals. Brain imaging studies have deliniated the neurological dysfunction that generates the shared features of food and drug addictions. The cornerstone of the commonality, of the root causes of addiction are impairments in the dopaminergic pathways that regulate the neuronal systems associated also with self-control, conditioning, stress reactivity, reward sensitivity and incentive motivation [11]. Metabolism in prefrontal regions is involved in inhibitory control, in obese subjects the inability to limit food intake involves ghrelin and may be the result of decreased DA D2 receptors which are associated with decreased prefrontal metabolism [12]. The limbic and cortical regions involved with motivation, memory and self-control, are activated by gastric stimulation in obese subjects [10] and during drug craving in drug-addicted subjects. An enhanced sensitivity to the sensory properties of food is suggested by increased metabolism in the somatosensory cortex of obese subjects. This enhanced sensitivity to food palatability coupled with reduced DA D2 receptors could make food the salient reinforcer for compulsive eating and obesity risk [10]. These research results indicate that numerous brain circuits are disrupted in obesity and drug addiction and that the prevention and treatment of obesity may benefit from strategies that target improved DA function.

Lindblom et al. [13] reported that dieting as a strategy to reduce body weight often fails as it causes food cravings leading to binging and weight regain. They also agree that evidence from several lines of research suggests the presence of shared elements in the neural regulation of food and drug craving. Lindblom et al. [13] quantified the expression of eight genes involved in DA signaling in brain regions related to the mesolimbic and nigrostriatal DA system in male rats subjected to chronic food restriction using quantitative real-time polymerase chain reaction. They found that mRNA levels of tyrosine hydroxylase, and the dopamine transporter in the ventral tegmental area were strongly increased by food restriction and concurrent DAT up-regulation at the protein level in the shell of the NAc was also observed via quantitative autoradiography. That these effects were observed after chronic rather than acute food restriction suggests that sensitization of the mesolimbic dopamine pathway may have occurred. Thus, sensitization possibly due to increased clearance of extracellular dopamine from the NAc shell may be one of the underlying causes for the food cravings that hinder dietary compliance. These findings are in agreement with earlier findings by Patterson et al. [14]. They demonstrated that direct intracerebroventricular infusion of insulin results in an increase in mRNA levels for the DA reuptake transporter DAT. In a 24- to 36-hour food deprivation study hybridization was used in situ to assess DAT mRNA levels in food-deprived (hypoinsulinemic) rats. Levels were in the ventral tegmental area/substantia nigra pars compacta significantly decreased suggesting that moderation of striatal DAT function can be effected by nutritional status, fasting and insulin. Ifland et al. [15] advanced the hypothesis that processed foods with high concentrations of sugar and other refined sweeteners, refined carbohydrates, fat, salt, and caffeine are addictive substances. Other studies have evaluated salt as important factor in food seeking behavior. Roitman et al. [16] points out that increased DA transmission in the NAc is correlated with motivated behaviors, including Na appetite. DA transmission is modulated by DAT and may play a role in motivated behaviors. In their studies in vivo, robust decreases in DA uptake via DAT in the rat NAc were correlated with and Na appetite induced by Na depletion. Decreased DAT activity in the NAc was observed after in vitro Aldosterone treatment. Thus, a reduction in DAT activity, in the NAc, may be the consequence of a direct action of Aldosterone and may be a mechanism by which Na depletion induces generation of increased NAc DA transmission during Na appetite. Increased NAc DA may be the motivating property for the Na-depleted rat. Further support for the role of salted food as possible substance (food) of abuse has resulted in the “The Salted Food Addiction Hypothesis” as proposed by Cocores and Gold [17]. In a pilot study, to determine if salted foods act like a mild opiate agonist which drives overeating and weight gain, they found that an opiate dependent group developed a 6.6% increase in weight during opiate withdrawal showing a strong preference for salted food. Based on this and other literature [18] they suggest that Salted Food may be an addictive substance that stimulates opiate and DA receptors in the reward and pleasure center of the brain. Alternately, preference, hunger, urge, and craving for “tasty” salted food may be symptoms of opiate withdrawal and the opiate like effect of salty food. Both salty foods and opiate withdrawal stimulate the Na appetite, result in increased calorie intake, overeating and disease related to obesity.

Brain Dopaminergic Function

Dopamine D2 receptor gene (DRD2)

When synaptic, DA stimulates DA receptors (D1–D5), individuals experience stress reduction and feelings of wellbeing [19]. As mentioned earlier, the mesocorticolimbic dopaminergic pathway mediates reinforcement of both unnatural rewards and natural rewards. Natural drives are reinforced physiological drives such as hunger and reproduction while unnatural rewards involve satisfaction of acquired learned pleasures, hedonic sensations like those derived from drugs, alcohol, gambling and other risk-taking behaviors [8,20,21].

One notable DA gene is the DRD2 gene which is responsible for the synthesis of DA D2 receptors [22]. The allelic form of the DRD2 gene (A1 versus A2) dictates the number of receptors at post-junctional sites and hypodopaminergic function [23,24]. A paucity of DA receptors predisposes individuals to seek any substance or behavior that stimulates the dopaminergic system [25-27].

The DRD2 gene and DA have long been associated with reward [28] in spite of controversy [3,4]. Although the Taq1 A1 allele of the DRD2 gene, has been associated with many neuropsychiatric disorders and initially with severe alcoholism, it is also associated with other substance and process addictions, as well as, Tourette’s Syndrome, high novelty seeking behaviors, Attention Deficit Hyperactivity Disorder (ADHD), and in children and adults, with co-morbid antisocial personality disorder symptoms [28].

While this article will focus on drugs and food being mutuality addictive, and the role of DA genetics and function in addictions, for completeness, we will briefly review our concept that concerns the genetic antecedents of multiple–addictions. “Reward Deficiency Syndrome” (RDS) was first described in 1996 as a theoretical genetic predictor of compulsive, addictive and impulsive behaviors with the realization that the DRD2 A1 genetic variant is associated with these behaviors [29-32]. RDS involves the pleasure or reward mechanisms that rely on DA. Behaviors or conditions that are the consequence of DA resistance or depletion are manifestations of RDS [30]. An individual’s biochemical reward deficiency can be mild, the result of overindulgence or stress or more severe, the result of a DA deficiency based on genetic makeup. RDS or anti-reward pathways help to explain how certain genetic anomalies can give rise to complex aberrant behavior. There may be a common neurobiology, neuro-circuitry and neuroanatomy, for a number of psychiatric disorders and multiple addictions. It is well known that .drugs of abuse, alcohol, sex, food, gambling and aggressive thrills, indeed, most positive reinforcers, cause activation and neuronal release of brain DA and can decrease negative feelings. Abnormal cravings are linked to low DA function [33]. Here is an example of how complex behaviors can be produced by specific genetic antecedents. A deficiency of, for example, the D2 receptors a consequence of having the A1 variant of the DRD2 gene [34] may predispose individuals to a high risk for cravings that can be satisfied by multiple addictive, impulsive, and compulsive behaviors. This deficiency could be compounded if the individual had another polymorphism in for example the DAT gene that resulted in excessive removal of DA from the synapse. In addition, the use of substances and aborant behaviors also deplete DA. Thus, RDS can be manifest in severe or mild forms that are a consequence a biochemical inability to derive reward from ordinary, everyday activities. Although many genes and polymorphisms predispose individuals to abnormal DA function, carriers of the Taq1 A1 allele of the DRD2 gene lack enough DA receptor sites to achieve adequate DA sensitivity. This DA deficit in the reward site of the brain can results in unhealthy appetites and craving. In essence, they seek substances like alcohol, opiates, cocaine, nicotine, glucose and behaviors; even abnormally aggressive behaviors that are known to activate dopaminergic pathways and cause preferential release of DA at the NAc. There is now evidence that rather than the NAc, the anterior cingulate cortex may be involved in operant, effort-based decision making [35-37] and a site of relapse.

Impairment of the DRD2 gene or in other DA receptor genes, such as the DRD1 involved in homeostasis and so called normal brain function, could ultimately lead to neuropsychiatric disorders including aberrant drug and food seeking behavior. Prenatal drug abuse in the pregnant female has been shown to have profound effects of the neurochemical state of offspring. These include ethanol [38]; cannabis [39]; heroin [40]; cocaine [41]; and drug abuse in general [42]. Most recently Novak et al. [43] provided strong evidence showing that abnormal development of striatal neurons are part of the pathology underlying major psychiatric illnesses. The authors identified an underdeveloped gene network (early) in rat that lacks important striatal receptor pathways (signaling). At two postnatal weeks the network is down regulated and replaced by a network of mature genes expressing striatal-specific genes including the DA D1 and D2 receptors and providing these neurons with their functional identity and phenotypic characteristics. Thus, this developmental switch in both the rat and human, has the potential to be a point of susceptibility to disruption of growth by enviromental factors such as an overindulgence in foods, like salt, and drug abuse.

Dopamine transporter (DAT)

The DA transporter (also DA active transporter, DAT, SLC6A3) is a membrane–spanning protein that pumps the neurotransmitter DA out of the synapse back into cytosol from which other known transporters sequester DA and norepinephrine into neuronal vesicles for later storage and subsequent release [44].

The DAT protein is encoded by a gene located on human chromosome 5 it is about 64 kbp long and consists of 15 coding exon. Specifically, the DAT gene (SLC6A3 or DAT1) is localized to chromosome 5p15.3. Moreover, there is a VNTR polymorphism within the 3′ non-coding region of DAT1. A genetic polymorphism in the DAT gene which effects the amount of protein expressed is evidence for an association between and DA related disorders and DAT [45]. It is well established that DAT is the primary mechanism which clears DA from synapses, except in the prefrontal cortex where DA reuptake involves norepinephrine [46,47]. DAT terminates the DA signal by removing the DA from the synaptic cleft and depositing it into surrounding cells. Importantly, several aspects of reward and cognition are functions of DA and DAT facilitates regulation of DA signaling [48].

It is noteworthy that DAT is an integral membrane protein and is considered a symporter and a co-transporter moving DA from the synaptic cleft across the phospholipid cell membrane by coupling its movement to the movement of Na ions down the electrochemical gradient (facilitated diffusion) and into the cell.

Moreover, DAT function requires the sequential binding and co-transport of two Na ions and one chloride ion with the DA substrate. The driving force for DAT-mediated DA reuptake is the ion concentration gradient generated by the plasma membrane Na+/K+ ATPase [49].

Sonders et al. [50] evaluated the role of the widely–accepted model for monoamine transporter function. They found that normal monoamine transporter function requires set rules. For example, Na ions must bind to the extracellular domain of the transporter before DA can bind. Once DA binds, the protein undergoes a conformational change, which allows both Na and DA to unbind on the intracellular side of the membrane. A number of electrophysiological studies have confirmed that DAT transports one molecule of neurotransmitter across the membrane with one or two Na ions like other monoamine transporters. Negatively charged chloride ions are required to prevent a buildup of positive charge. These studies used radioactive-labeled DA and have also shown that the transport rate and direction are totally dependent on the Na gradient [51].

Since it is well known that many drugs of abuse cause the release of neuronal DA [52], DAT may have a role in this effect. Because of the tight coupling of the membrane potential and the Na gradient, activity-induced changes in membrane polarity can dramatically influence transport rates. In addition, the transporter may contribute to DA release when the neuron depolarizes [53]. In essence, as pointed out by Vandenbergh et al. [54] the DAT protein regulates DA -mediated neurotransmission by rapidly accumulating DA that has been released into the synapse.

The DAT membrane topology was initially theoretical, determined based on hydrophobic sequence analysis and similarity to the GABA transporter. The initial prediction of Kilty et al. [55] of a large extracellular loop between the third and fourth of twelve transmembrane domains was confirmed by Vaughan and Kuhar [56] when they used proteases, to digest proteins into smaller fragments, and glycosylation, which occurs only on extracellular loops, to verify most aspects of DAT structure.

DAT has been found in regions of the brain where there is dopaminergic circuitry, these areas include mesocortical, mesolimbic, and nigrostriatal pathways [57]. The nuclei that make up these pathways have distinct patterns of expression. DAT was not detected within any synaptic cleft which suggests that striatal DA reuptake occurs outside of the synaptic active zones after DA has diffused from the synaptic cleft.

Two alleles, the 9 repeat (9R) and 10 repeat (10R) VNTR can increase the risk for RDS behaviors. The presence of the 9R VNTR has associated with alcoholism and Substance Use Disorder. It has been shown to augment transcription of the DAT protein resulting in an enhanced clearance of synaptic DA, resulting in a reduction in DA, and DA activation of postsynaptic neurons [58]. The tandem repeats of the DAT have been associated with reward sensitivity and high risk for Attention Deficit Hyperactivity Disorder (ADHD) in both children and adults [59,60]. The 10-repeat allele has a small but significant association with hyperactivity-impulsivity (HI) symptoms [61].

Mapping Reward Genes and RDS

Support for the impulsive nature of individuals possessing dopaminergic gene variants and other neurotransmitters (e.g. DRD2, DRD3, DRD4, DAT1, COMT, MOA-A, SLC6A4, Mu, GABAB) is derived from a number of important studies illustrating the genetic risk for drug-seeking behaviors based on association and linkage studies implicating these alleles as risk antecedents that have an impact in the mesocorticolimbic system (Table 1). Our laboratory in conjunction with LifeGen, Inc. and Dominion Diagnostics, Inc. is carrying out research involving twelve select centers across the United States to validate the first ever patented genetic test to determine a patient’s genetic risk for RDS called Genetic Addiction risk Score™ (GARS).

Table1.

Candidate Reward Genes and RDS - (A sampling).

Gene Polymorphism(s) Study Findings Reference Comment
D2 dopamine
receptor gene
(DRD2)
SNP rs: 1800497 Taq A1 allele associates with sever alcoholism Blum et al.
[24]
First study to associate with
alcoholism (called reward
gene)
ANKKI -p.Glu713Lys DRD2 Taq1A RFLP is a single nucleotide
polymorphism (SNP) that causes an amino
acid substitution within the 11th ankyrin repeat
of ANKK1
Neville et al.
[62]
The ANKKI gene is a reflection
of DRD2 A1 allele.
SNP rs: 1800497 This SNP has been found to predict future
RDS behaviors as high as 74%.
Blum et al.
[63]
using Bayesian analysis
SNP rs: 1800497 Presence of the A1+ genotype (A1/A1, A1 /
A2) compared to the A genotype (A2/A2), is
associated with reduced density
Noble et al.
[25]
This reduction causes
hypodopaminergic functioning
in the dopamine reward
pathway.
SNP rs: 6277 at exon 7 T+ allele associates with alcohol dependence. Hoffman et
al. [64]
Associates with drug seeking
behavior and other RDS
behaviors
SNP rs: 1800497 10 year follow up that carriers of the DRD2 A1
allele have a higher rate of mortality compared
to carriers of the A2 allele in alcohol dependent
individuals
Dahlgren et
al. [65]
Taq I A1 allele and a
substantially increased relapse
rate
DRD2-haplotypes I-C-G-A2 and I-C-
A-A1
Confirmed the hypothesis that haplotypes,
which are supposed to induce a low DRD2
expression, are associated with alcohol
dependence.
Kraschewski
et al. [66]
High frequency of haplotype
was associated with Cloninger
Type 2 and family history of
alcoholism.
SNP rs: 1800497 Genotype analysis showed a significantly
higher frequency for the TaqIA polymorphism
among the addicts (69.9%) compared to
control subjects (42.6%; Fisher’s exact χ(2),
p < .05).
Teh et al.
[67]
The addicts had higher scores
for novelty seeking (NS)
and harm avoidance (HA)
personality traits
D4 dopamine
receptor gene
(DRD4)
DRD4 - The 7 repeat (7R) VNTR The length of the D4 dopamine receptor
(DRD4) exon 3 variable number of tandem
repeats (VNTR) affects DRD4 functioning by
modulating the expression and efficiency of
maturation of the receptor.
Van Tol [68] The 7 repeat (7R) VNTR
requires significantly higher
amounts of dopamine to
produce a response of the
same magnitude as other size
VNTRs
120bp duplication, −616C/G, and
-521C/T
Strong finding of −120 bp duplication allele
frequencies with schizophrenia (p = 0.008);-
521 C/T polymorphism is associated with
heroin addiction.
Lai et al. [69] This reduced sensitivity or
“dopamine resistance” leads to
hypodopaminergic functioning.
Thus 7R VNTR has been
associated with substance –
seeking behavior
DRD4 7-repeat allele A number of putative risk alleles using survival
analysis revealed that by 25 years of age 76%
of subjects with a DRD4 7-repeat allele were
estimated to have significantly more persistent
ADHD compared with 66% of
Subjects without the risk allele.
Biederman
et al. [70]
Findings suggest that the
DRD4 7-repeat allele is
associated with a more
persistent course of ADHD
7-repeat allele of the dopamine D(4)
receptor gene (DRD4)
Although the association between ADHD and
DRD4 is small, these results suggest that it
is real.
Faraone et
al. [71]
For both the case-control
and family-based studies, the
authors found 1) support for
the association between ADHD
and DRD4, 2) no evidence that
this association was accounted
for by any one study, and 3) no
evidence for publication bias.
dopamine D4 receptor (DRD4) exon 3
polymorphisms (48 bp VNTR)
Found significant differences in the short
alleles (2-5 VNTR) frequencies between
controls and patients with a history of delirium
tremens and/or alcohol seizures (p = 0.043).
Grzywacz et
al. [72]
A trend was also observed in
the higher frequency of short
alleles amongst individuals
with an early age of onset of
alcoholism (p = 0.063).
dopamine D4 receptor (DRD4) -7
repeat allele
Show that the 7-repeat allele is significantly
over-represented in the opioid-dependent
cohort and confers a relative risk of 2.46
Kotler et al.
[73]
This is the first report of an
association between a specific
genetic polymorphism and
opioid addiction.
Dopamine
Transporter gene
(DAT1)
Localized to chromosome 5p15.3.
Moreover, within 3 noncoding region
of DAT1 lies a VNTR polymorphism −9
repeat (9R) VNTR
The 9 repeat (9R) VNTR has been shown to
influence gene expression and to augment
transcription of the dopamine transporter
protein
Byerley et al.
[74]
Having this variant results in
an enhanced clearance of
synaptic dopamine, yielding
reduced levels of dopamine to
activate postsynaptic neurons
R9 repeat (9R) VNT DAT1, genotype 9/9 was associated with early
opiate addiction
Galeeva et
al. [75]
The combination of SERT
genotype 10/10 with DAT1
genotype 10/10 was shown to
be a risk factor of opiate abuse
under 16 years of age.
exon 15 rs27072 and VNTR (DAT),
promoter VNTR and rs25531
The haplogenotypes 6-A-10/6-G-10 and
5-G-9/5-G-9 were more often present in type 2
alcoholics as compared with type 1 alcoholics
[odds ratio (OR): 2.8], and controls (OR: 5.8),
respectively.
Reese et al.
[76]
In a typology proposed by
Cloninger on the basis of
adoption studies, a subgroup
has been classified as type
2 with patients having high
genetic loading for alcoholism,
an early onset of alcoholism, a
severe course, and coexisting
psychiatric problems consisting
of aggressive tendencies or
criminality
VNTR polymorphism at the dopamine
transporter locus (DAT1) 480-bp DAT1
allele
Using the haplotype-based haplotype relative
risk (HHRR) method revealed significant
association between ADHD/UADD and the
480-bp DAT1 allele (chi 2 7.51, 1 df, p =
0.006).
Cook et al.
[77]
While there have been some
inconsistencies associated with
the earlier results the evidence
is mounting in favor of the view
that the 10R allele of DAT is
associated with high risk for
ADHD in children and in adults
alike
dopamine transporter (DAT1) variable
number tandem repeats (VNTR),
genotypes- both 9 and 10-repeat
alleles
The non-additive association for the 10-repeat
allele was significant for hyperactivityimpulsivity
(HI) symptoms. However, consistent
with other studies, exploratory analyses of
the non-additive association of the 9-repeat
allele of DAT1 with HI and oppositional
defiant disorder (ODD) symptoms also were
significant.
Lee et al.
[78]
The inconsistent association
between DAT1 and child
behavior problems in this and
other samples may reflect joint
influence of the 10-repeat and
9-repeat alleles.
Catechol-O-
methyltransferase
(COMT)
COMT Val158Met and DRD2 Taq1A
genotypes
COMT Val158Met and DRD2 Taq1A may
affect the intermediate phenotype of central
dopamine receptor sensitivity.
Schellekens
et al. [79]
COMT Val158Met and DRD2
Taq1A may confer their
risk of alcohol dependence
through reduced dopamine
receptor sensitivity in the
prefrontal cortex and hindbrain,
respectively.
The functional
polymorphism (COMT Val108/158Met)
affects COMT activity, with the valine
(Val) variant associated with higher
and the methionine (Met) variant with
lower COMT activity
Male alcoholic suicide attempters, compared
to male non-attempters, had the higher
frequency of Met/Met genotype or Met allele,
and significantly (Kruskal-Wallis ANOVA
on ranks and Mann-Whitney test) higher
aggression and depression scores.
Nedic et al.
[80]
These results confirmed the
associations between Met
allele and aggressive behaviour
or violent suicide attempts in
various psychiatric diagnoses,
and suggested that Met allele
of the COMT Val108/158
Met might be used as an
independent biomarker of
suicidal behaviour across
different psychopathologies.
COMT Val(158)Met variation Both controls and opiate users with Met/
Met genotypes showed higher NS scores
compared to those with the Val allele.
Demetrovics
et al. [81]
Association of
the COMT polymorphism and
NS temperament scale has
been shown for heroin-
dependent patients and
controls regardless of group
status.
A functional polymorphism
COMT Val158Met) resulting in
increased enzyme activity has been
associated with polysubstance
abuse and addiction to heroin and
methamphetamine
These results suggest a significant association
between COMT Val158Met polymorphism and
susceptibility to cannabis dependence.
Baransel et
al. [82]
Cannabis stimulates dopamine
release and activates
dopaminergic reward neurons
in central pathways that lead
to enhanced dependence.
Catechol-O-methyl transferase
(COMT) inactivates amplified
extraneuronally released
dopamine.
Serotonin
transporter gene
serotonin
transporter promoter polymorphism [5-
HT transporter gene-linked
polymorphic region (5-HTTLPR)]
5-HTTLPR had age-dependent effects on
alcohol, tobacco and drug use: substance
use did not differ by genotype at age 9, but
at age 15, the participants with the short (s)/s
genotype had higher tobacco use, and at age
18, they were more active alcohol, drug and
tobacco users.
Merenäkk et
al. [83]
Results reveal that expression
of genetic vulnerability for
substance use in children
and adolescents may depend
on age, gender, interaction
of genes, and type of
substance
The short (s), low activity allele
of a polymorphism (5-HTTLPR)
in the serotonin transporter gene
(SLC6A4) has been related to alcohol
dependence
The 5-HTTLPR short allele predicted
adolescent’s growth (slope) in alcohol use
over time. Adolescents with the 5-HTTLPR
short allele showed larger increase in alcohol
consumption than those without the 5-HTTLPR
short allele.
van der
Zwaluw et al.
[84]
5-HTTLPR genotype was
not related to the initial
level (intercept) of alcohol
consumption.
triallelic 5-HTTLPR genotype : SA/SA
and SA/LG compared to LA/LA
Remifentanil and opioid drug had a significantly
better analgesic effect in individuals with a
genotype coding for low 5-HTT expression
(SA/SA and SA/LG) as compared to those with
high expression (LA/LA), p < 0.02.
Kosek et al
[85]
Previously the 5-HTTLPR
s-allele has been associated
with higher risk of developing
chronic pain conditions but in
this study we show that the
genotype coding for low 5-HTT
expression is associated with
a better analgesic effect of
an opioid. The s-allele has
been associated with down
regulation of 5-HT1 receptors
and we suggest that individuals
with a desensitization of
5-HT1 receptors have an
increased analgesic response
to opioids during acute pain
stimuli, but may still be at
increased risk of developing
chronic pain conditions.
Mu Opiate
Receptor (MOR)
A single nucleotide
polymorphism (SNP) in the
human MOR gene (OPRM1 A118G)
has been shown to alter receptor
protein level in preclinical models and
smoking behavior in humans
Independent of session, smokers homozygous
for the wild-type OPRM1 A allele exhibited
significantly higher levels of MOR BP (ND)
than smokers carrying the G allele in bilateral
amygdala, left thalamus, and left anterior
cingulate cortex.
Ray et al.
[86]
Among G allele carriers, the
extent of subjective reward
difference (denicotinized
versus nicotine cigarette)
was associated significantly
with MOR BP(ND) difference
in right amygdala, caudate,
anterior cingulate cortex, and
thalamus.
Polymorphism in A118G in exon 1 and
C1031G in intron 2 of the MOR gene
Results showed a significant
association for both A118G and
C1031G polymorphisms and opioid
dependence. The G allele is more common
in the heroin-dependent group (39.5% and
30.8% for A118G and C1031G polymorphisms,
respectively) when compared to the
controls (29.4% and 21.1% for A118G and
C1031G polymorphisms, respectively).
Szeto et al.
[87]
This study suggests
that the variant G allele
of both A118G and
C1031G polymorphisms may
contribute to the vulnerability to
heroin dependence.
A118G single-nucleotide polymorphism
(SNP) in exon 1 of the MOR gene
(OPRM1), which encodes an aminoacid
substitution, is functional
and receptors encoded by the variant
118G allele bind the endogenous
opioid peptide beta-endorphin
with three-fold greater affinity than
prototype receptors. Other groups
subsequently reported that this variant
alters stress-responsivity in normal
volunteers and also increases the
therapeutic response to naltrexone (a
mu-preferring opioid antagonist) in the
treatment of alcohol dependence
There was a significant overall association
between genotypes with an 118G allele
and alcohol dependence (p = 0.0074). The
attributable risk for alcohol dependence in
subjects with an 118G allele was 11.1%
Bart et al.
[88]
There was no difference in
A118G genotype between
type 1 and type 2 alcoholics. In
central Sweden, the functional
variant 118G allele in exon 1 of
OPRM1 is associated with an
increased attributable risk for
alcohol dependence.
MOR gene knockout (KO) were
examined in wild-type (+/+),
heterozygote MOR KO (+/−), and
homozygote MOR KO (−/−) mice on
voluntary ethanol consumption
Heterozygous and homozygous MOR KO
mice consumed less ethanol than wild-type
mice. These effects appeared to be greater
in female KO mice than in male KO mice.
MOR KO mice, especially females, exhibited
less ethanol reward in a conditioned place
preference paradigm.
Hall et al.
[89]
These data fit with the reported
therapeutic efficacy of MOR
antagonists in the treatment
of human alcoholism. Allelic
variants that confer differing
levels of MOR expression could
provide different degrees of risk
for alcoholism.
GABA Beta subunit
3
GABA A receptor beta3 subunit gene
(GABRB3)
The G1- alleles of the GABRB3 in COAs were
significantly higher than non COAs.
Namkoong
et al. [90]
In the same study the
frequency of the A1+ allele
at DRD2 in the COAs was
significantly higher than non
COAs
Beta 3 subunit mRNAs The levels of the beta 2 and beta 3 subunit
mRNAs remains elevated at 24 hr. withdrawal
from chronic ethanol. Chronic ethanol
treatment increased the levels of both of these
polypeptides in cerebral cortex
Mhatre
and Ticku
[91]
Chronic ethanol administration
produced an up-regulation of
the beta-subunit mRNA and the
polypeptide expression of these
subunits in rat cerebral cortex.
A1+ (A1A1 and A1A2 genotypes)
and A1− (A2A2 genotype) alleles of
the DRD2 and G1+ (G1G1 and G1
non-G1 genotypes) and G1− (non-G1
non-G1 genotype) alleles of the
GABRB3 gene,Study involved Mood-
related alcohol expectancy (AE) and
drinking refusal self-efficacy (DRSE)
were assessed using the Drinking
Expectancy Profile
Patients with the DRD2 A1+ allele, compared
with those with the DRD2 A1− allele, reported
significantly lower DRSE in situations of
social pressure. Similarly, lower DRSE was
reported under social pressure by patients with
the GABRB3 G1+ allele when compared to
those with the GABRB3 G1− alleles. Patients
with the GABRB3 G1+ allele also revealed
reduced DRSE in situations characterized by
negative affect than those with the GABRB3
G1− alleles. Patients carrying the GABRB3
G1+ allele showed stronger AE relating to
negative affective change (for example,
increased depression) than their GABRB3 G1−
counterparts.
Young et al.
[92]
Molecular genetic research has
identified promising markers of
alcohol dependence, including
alleles of the D2 dopamine
receptor (DRD2) and the
GABAA receptor beta3 subunit
(GABRB3)genes.
Dinucleotide repeat polymorphisms of
the GABA(A) receptor beta 3 subunit
gene were compared to scores on
the General Health Questionnaire-28
(GHQ)
Analysis of GHQ subscale scores showed
that heterozygotes compared to the combined
homozygotes had higher scores on the somatic
symptoms (p = 0.006), anxiety/insomnia (p
= 0.003), social dysfunction (p = 0.054) and
depression (p = 0.004) subscales.
Feusner et
al. [93]
The present study indicates
that in a population of PTSD
patients, heterozygosity of
the GABRB3 major (G1)
allele confers higher levels of
somatic symptoms, anxiety/
insomnia, social dysfunction
and depression than found in
homozygosity.
GABRB3 major (G1) allele & DRD@
A1 allele
A significant progressive increase was
observed in DRD2 A1 allelic prevalence (p =
3.1 − 10(−6)) and frequency (p = 2.7 × 10(−6))
in the order of non-alcoholics, less severe
and severe alcoholics. In severe alcoholics,
compared to non-alcoholics, a significant
decrease was found in the prevalence (p = 4.5
× 10(−3)) and frequency (p = 2.7 × 10(−2)) of
the GABRB3 major (G1) allele. Furthermore,
a significant progressive decrease was noted
in G1 allelic prevalence (p = 2.4 × 10(−3))
and frequency (p = 1.9 × 10(−2)) in nonalcoholics,
less severe and severe alcoholics,
respectively.
Noble et al.
[94]
In sum, in the same population
of non-alcoholics and
alcoholics studied, variants of
both the DRD2 and GABRB3
genes independently contribute
to the risk for alcoholism,
with the DRD2 variants
revealing a stronger effect
than the GABRB3 variants.
However, when the DRD2
and the GABRB3 variants
are combined, the risk for
alcoholism is more robust
than when these variants are
considered separately.
MOA-A MAOA genotype Significant three-way interactions, MAOA
genotype by abuse by sex, predicted
dysthymic symptoms. Low-activity MAOA
genotype buffered against symptoms
of dysthymia in physically abused and
multiply-maltreated women. Significant
three-way interactions, MAOA genotype by
sexual abuse by race, predicted all outcomes.
Low-activity MAOA genotype buffered against
symptoms of dysthymia, major depressive
disorder, and alcohol abuse for sexually
abused white participants. The high-activity
genotype was protective in the nonwhite
sexually abused group.
Nikulina et
al. [95]
This prospective study provides
evidence that MAOA interacts
with child maltreatment
to predict mental health
outcomes.
low-repeat MAOA allele Individuals with CUD had reductions in GMV
in the orbitofrontal, dorsolateral prefrontal
and temporal cortex and the hippocampus
compared with controls. (2) The orbitofrontal
cortex reductions were uniquely driven by
CUD with low- MAOA genotype and by lifetime
cocaine use.
Alia-Klein et
al. [96]
Long-term cocaine users with
the low-repeat MAOA allele
have enhanced sensitivity to
gray matter loss, specifically
in the orbitofrontal cortex,
indicating that this genotype
may exacerbate the deleterious
effects of cocaine in the brain.
MAOA u-VNTR Girls, carrying the long MAOA u-VNTR
variant showed a higher risk of being high
alcohol consumers, whereas among boys,
the short allele was related to higher alcohol
consumption
Nilsson et al.
[97]
The present study supports
the hypothesis that there
is a relation between
MAOA u-VNTR and alcohol
consumption and that this
relation is modulated by
environmental factors.
30-bp repeat in the promoter region
of the monoamine oxidase-A gene
(MAO-A)
Significant associations between cold
pain tolerance and DAT-1 (p = 0.008) and
MAO-A (p = 0.024) polymorphisms were
found. Specifically, tolerance was shorter for
carriers of allele 10 and the rarer allele 11,
as compared to homozygous for allele 9, and
for carriers of allele 4 (MOA) as compared to
homozygous for allele 3, respectively.
Treister et al.
[98]
These results, together with
the known function of the
investigated candidate gene
polymorphisms, suggest that
low dopaminergic activity
can be associated with
high pain sensitivity and vice
versa.
The Revised Psychopathy Checklist
(PCL-R) has shown a moderate
association with violence and as
such studied with MAOA genotyped
alcoholic offenders
The PCL-R total score predicts impulsive
reconvictions among high-activity MAOA
offenders (6.8% risk increase for every one-
point increase in PCL-R total score, p = 0.015),
but not among low-activity MAOA offenders,
whereas antisocial behavior and attitudes
predicted reconvictions in both genotypes
(17% risk increase among high-activity MAOA
offenders and 12.8% increase among low-
activity MAOA offenders for every one-point
increase in factor 2 score)
Tikkanen et
al. [99]
Results suggest that the
efficacy of PCL-R is altered
by MAOA genotype, alcohol
exposure, and age, which
seems important to note
when PCL-R is used for risk
assessments that will have
legal or costly preventive work
consequences
Genotyping of two functional
polymorphisms in the promoter region
of the serotonin transporter and
monoamine oxidase-A, respectively,
(5-HTT-LPR and MAOA-VNTR), was
performed in a group of women with
severe alcohol addiction
Within the group of alcoholics, when the
patients with known co-morbid psychiatric
disorders were excluded, aggressive ant-
isocial behavior was significantly linked to the
presence of the high activity MAOA allele
Gokturk et
al. [100]
The pattern of associations
between genotypes of
5-HTT-LPR and MAOA
VNTR in women with
severe alcoholism differs from
most corresponding studies on
males.
The MAOA gene presents
several polymorphisms, including a
30-bp VNTR in the promoter region
(MAOA-uVNTR). Alleles with 3.5 and
4 repeats are 2-10 times more efficient
than the 3-repeat allele
The results suggest that the 3-repeat allele
is associated to: (1) alcohol dependence (p
< 0.05); (2) an earlier onset of alcoholism (p
< 0.01); (3) comorbid drug abuse among
alcoholics (p < 0.05); and (4) a higher number
of antisocial symptoms (p < 0.02).
Contini et al.
[101]
Results confirmed previous
reports showing an
association of the low activity
3-repeat allele of MAOAuVNTR
polymorphism with
substance dependence and
impulsive/antisocial behaviors.
These findings in a different
culture further support the
influence of the MAOA-uVNTR
in psychiatric disorders
Dopamine D3 The genotypes of the BDNF Val66Met
and DRD3 Ser9Gly polymorphisms.
BDNF regulates expression of D3
Logistic regression analysis showed a
significant main effect for the Val/Val genotype
of the BDNF Val66Met polymorphism (p =
0.020), which predicted bipolar-II patients.
Significant interaction effects for the BDNF
Val66Met Val/Val genotype and both DRD3
Ser9Gly Ser/Ser and Ser/Gly genotypes were
found only in bipolar-II patients (p = 0.027 and
0.006, respectively)
Lee et al.
[102]
Evidence that the BDNF
Val66Met and DRD3 Ser9Gly
genotypes interact only in
bipolar-II disorder (hypomania)
and that bipolar-I (Mania) and
bipolar-II may be genetically
distinct.
D3R KO mice The possible interaction between morphine-
induced tolerance and D3 receptors has
not been investigated. Compared with wildtype
(WT) mice, the dopamine D3 receptor
knockout (D3R KO) mice showed pronounced
hypoalgesia. The D3R KO mice clearly
developed lower morphine-induced tolerance
and showed attenuated withdrawal signs
compared with the WT mice.
Li et al. [103] These results suggest that
D3 receptors regulate basal
nociception and are involved in
the development of morphineinduced
tolerance and
withdrawal.
DNA microarrays of two different
alcohol-preferring rat lines (HAD and
P) and D3 receptors
Data revealed an up-regulation of the
dopamine D3 receptor (D3R) after 1 yr of
voluntary alcohol consumption in the striatum
of alcohol preferring rats that was confirmed by
qRT-polymerase chain reaction.
Vengeliene
et al. [104]
Long-term alcohol consumption
leads to an up-regulation
of the dopamine D3R that
may contribute to alcoholseeking
and relapse. We
therefore suggest that
selective antagonists of this
pharmacological target provide
a specific treatment approach
to reduce alcohol craving and
relapse behavior.
Gly9 homozygotes in comparison to
Ser9 carriers of D3 receptor gene
German descent and have found diminished
parietal and increased frontal P300 amplitudes
in Gly9 homozygotes in comparison to Ser9
carriers. Further studies should address the
direct role of the DRD3 Ser9Gly polymorphism
in attenuated P300 amplitudes in psychiatric
disorders like schizophrenia or alcoholism.
Mulert et al.
[105]
An important reason for
the interest in P300 eventrelated
potentials are findings
in patients with psychiatric
disorders like schizophrenia
or alcoholism in which
attenuations of the P300
amplitude are common
findings.
Dopamine receptor D3 gene BalI
polymorphism
Patients above the median value for cognitive
impulsiveness (one of the three dimensions
of the Barratt scale) were more frequently
heterozygous than both alcohol-dependent
patients with lower impulsiveness (OR = 2.51,
p = 0.019) and than 71 healthy controls (OR =
2.32, p = 0.025).
Limosin et
al. [106]
The D3 Receptor gene
has been associated with
addictive behaviors especially
impulsiveness.
Bal I polymorphism at the DRD3 gen Patients with a sensation-seeking score above
24 were more frequently homozygotes for both
alleles than patients with a sensation-seeking
score under 24 (p = 0.038) or controls (p =
0.034).
Duaux et al.
[107]
These results suggest that the
DRD3 gene may have a role in
drug dependence susceptibility
in individuals with high
sensation-seeking scores
mRNA of both DRD2 and DRD3 gene
expression
After a chronic schedule of intermittent
bingeing on a sucrose solution, mRNA
levels for the D2 dopamine receptor, and the
preproenkephalin and preprotachykinin genes
were decreased in dopamine-receptive regions
of the forebrain, while D3 dopamine receptor
mRNA was increased. The effects of sugar
on mRNA levels were of greater magnitude in
the nucleus accumbens than in the caudateputamen.
Spangler et
al. [108]
DRD3 gene accounted for
1.64% of the variance of
cocaine dependence.
MscI/BalI polymorphism of the DRD3
gene
Significant decrease in the frequency of 12
heterozygotes (increase homozygosity) in
subjects with cocaine dependence (29.8%) vs.
controls (46.9%) (p ≤ 0.028). This percentage
was still lower in those who had chronically
used cocaine for more than 10 years (25%), or
more than 15 years (21.5%).
Comings et
al. [109]
The DRD2 gene had an
independent and additive
effect on cocaine dependence.
These findings support a
modest role of the DRD3 gene
in susceptibility to cocaine
dependence.

Source: Blum Chapter in Pharmacogenomics Ed. D. Barh (Springer) in Press with Permission

Submit your next manuscript and get advantages of OMICS Group submissions.

Unique features

  • User friendly/feasible website-translation of your paper to 50 world’s leading languages

  • Audio Version of published paper

  • Digital articles to share and explore

Special features

  • 250 Open Access Journals

  • 20,000 editorial team

  • 21 days rapid review process

  • Quality and quick editorial, review and publication processing

  • Indexing at PubMed (partial), Scopus, DOAJ, EBSCO, Index Copernicus and Google Scholar etc

  • Sharing Option: Social Networking Enabled

  • Authors, Reviewers and Editors rewarded with online Scientific Credits

  • Better discount for your subsequent articles

Submit your manuscript at: http://www.editorialmanager.com/omicsgroup/

Acknowledgments

The authors appreciate the expert editorial input from Margaret A. Madigan and Paula J. Edge. We appreciate the comments by Eric R. Braverman, Raquel Lohmann, Joan Borsten, B.W Downs, Roger L. Waite, Mary Hauser, John Femino, David E Smith, and Thomas Simpatico. Marlene Oscar-Berman is the recipient of grants from the National Institutes of Health, NIAAA RO1-AA07112 and K05-AA00219 and the Medical Research Service of the US Department of Veterans Affairs. We also acknowledge the case report input Karen Hurley, Executive Director of National Institute of Holistic Addiction studies, North Miami Beach Florida. In-part this article was supported by a grand awarded to Path foundation NY from Life Extension Foundation.

Footnotes

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Conflict of Interest Kenneth Blum, PhD., holds a number of US and foreign patents related to diagnosis and treatment of RDS, which has been exclusively licensed to LifeGen, Inc. Lederach, PA. Dominion Diagnostics, LLC, North Kingstown, Rhode Island along with LifeGen, Inc., are actively involved in the commercial development of GARS. John Giordano is also a partner in LifeGen, Inc. There are no other conflicts of interest and all authors read & approved the manuscript.

References

  • 1.Blum K, Payne J. Alcohol & the Addictive Brain. Simon & Schuster Free Press; New York and London: 1990. with. [Google Scholar]
  • 2.Platania CB, Salomone S, Leggio GM, Drago F, Bucolo C. Homology modeling of dopamine D2 and D3 receptors: molecular dynamics refinement and docking evaluation. PLoS One. 2012;7:e44316. doi: 10.1371/journal.pone.0044316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Salamone JD, Correa M. The mysterious motivational functions of mesolimbic dopamine. Neuron. 2012;76:470–485. doi: 10.1016/j.neuron.2012.10.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Sinha R. Stress and Addiction. In: Brownell Kelly D., Gold Mark S., editors. Food and Addiction: A Comprehensive Handbook. Oxford University Press; New York: 2012. pp. 59–66. [Google Scholar]
  • 5.Blum K, Werner T, Carnes S, Carnes P, Bowirrat A, et al. Sex, drugs, and rock ‘n’ roll: hypothesizing common mesolimbic activation as a function of reward gene polymorphisms. J Psychoactive Drugs. 2012;44:38–55. doi: 10.1080/02791072.2012.662112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Gold MS. From bedside to bench and back again: a 30-year saga. Physiol Behav. 2011;104:157–161. doi: 10.1016/j.physbeh.2011.04.027. [DOI] [PubMed] [Google Scholar]
  • 7.Blumenthal DM, Gold MS. Relationships between Drugs of Abuse and Eating. In: Brownell Kelly D., Gold Mark S., editors. Food and Addiction: A Comprehensive Handbook. Oxford University Press; New York: 2012. pp. 254–265. [Google Scholar]
  • 8.Blum K, Gold MS. Neuro-chemical activation of brain reward meso-limbic circuitry is associated with relapse prevention and drug hunger: a hypothesis. Med Hypotheses. 2011;76:576–584. doi: 10.1016/j.mehy.2011.01.005. [DOI] [PubMed] [Google Scholar]
  • 9.Avena NM, Rada P, Hoebel BG. Evidence for sugar addiction: behavioral and neurochemical effects of intermittent, excessive sugar intake. Neurosci Biobehav Rev. 2008;32:20–39. doi: 10.1016/j.neubiorev.2007.04.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Wang GJ, Volkow ND, Thanos PK, Fowler JS. Imaging of brain dopamine pathways: implications for understanding obesity. J Addict Med. 2009;3:8–18. doi: 10.1097/ADM.0b013e31819a86f7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Volkow ND, Wang GJ, Tomasi D, Baler RD. Obesity and addiction: neurobiological overlaps. Obes Rev. 2013;14:2–18. doi: 10.1111/j.1467-789X.2012.01031.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Skibicka KP, Hansson C, Egecioglu E, Dickson SL. Role of ghrelin in food reward: impact of ghrelin on sucrose self-administration and mesolimbic dopamine and acetylcholine receptor gene expression. Addict Biol. 2012;17:95–107. doi: 10.1111/j.1369-1600.2010.00294.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Lindblom J, Johansson A, Holmgren A, Grandin E, Nedergård C, et al. Increased mRNA levels of tyrosine hydroxylase and dopamine transporter in the VTA of male rats after chronic food restriction. Eur J Neurosci. 2006;23:180–186. doi: 10.1111/j.1460-9568.2005.04531.x. [DOI] [PubMed] [Google Scholar]
  • 14.Patterson TA, Brot MD, Zavosh A, Schenk JO, Szot P, et al. Food deprivation decreases mRNA and activity of the rat dopamine transporter. Neuroendocrinology. 1998;68:11–20. doi: 10.1159/000054345. [DOI] [PubMed] [Google Scholar]
  • 15.Ifland JR, Preuss HG, Marcus MT, Rourke KM, Taylor WC, et al. Refined food addiction: a classic substance use disorder. Med Hypotheses. 2009;72:518–526. doi: 10.1016/j.mehy.2008.11.035. [DOI] [PubMed] [Google Scholar]
  • 16.Roitman MF, Patterson TA, Sakai RR, Bernstein IL, Figlewicz DP. Sodium depletion and aldosterone decrease dopamine transporter activity in nucleus accumbens but not striatum. Am J Physiol. 1999;276:R1339–1345. doi: 10.1152/ajpregu.1999.276.5.R1339. [DOI] [PubMed] [Google Scholar]
  • 17.Cocores JA, Gold MS. The Salted Food Addiction Hypothesis may explain overeating and the obesity epidemic. Med Hypotheses. 2009;73:892–899. doi: 10.1016/j.mehy.2009.06.049. [DOI] [PubMed] [Google Scholar]
  • 18.Roitman MF, Schafe GE, Thiele TE, Bernstein IL. Dopamine and sodium appetite: antagonists suppress sham drinking of NaCl solutions in the rat. Behav Neurosci. 1997;111:606–611. doi: 10.1037//0735-7044.111.3.606. [DOI] [PubMed] [Google Scholar]
  • 19.Koob G, Kreek MJ. Stress, dysregulation of drug reward pathways, and the transition to drug dependence. Am J Psychiatry. 2007;164:1149–1159. doi: 10.1176/appi.ajp.2007.05030503. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Bruijnzeel AW, Zislis G, Wilson C, Gold MS. Antagonism of CRF receptors prevents the deficit in brain reward function associated with precipitated nicotine withdrawal in rats. Neuropsychopharmacology. 2007;32:955–963. doi: 10.1038/sj.npp.1301192. [DOI] [PubMed] [Google Scholar]
  • 21.Dackis CA, Gold MS. Psychopathology resulting from substance abuse. In: Gold MS, Slaby AE, editors. Dual Diagnosis in Substance Abuse. Marcel Dekker Inc.; New York: 1991. pp. 205–220. [Google Scholar]
  • 22.Olsen CM. Natural rewards, neuroplasticity, and non-drug addictions. Neuropharmacology. 2011;61:1109–1122. doi: 10.1016/j.neuropharm.2011.03.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Bunzow JR, Van Tol HH, Grandy DK, Albert P, Salon J, et al. Cloning and expression of a rat D2 dopamine receptor cDNA. Nature. 1988;336:783–787. doi: 10.1038/336783a0. [DOI] [PubMed] [Google Scholar]
  • 24.Blum K, Noble EP, Sheridan PJ, Montgomery A, Ritchie T, et al. Allelic association of human dopamine D2 receptor gene in alcoholism. JAMA. 1990;263:2055–2060. [PubMed] [Google Scholar]
  • 25.Noble EP, Blum K, Ritchie T, Montgomery A, Sheridan PJ. Allelic association of the D2 dopamine receptor gene with receptor-binding characteristics in alcoholism. Arch Gen Psychiatry. 1991;48:648–654. doi: 10.1001/archpsyc.1991.01810310066012. [DOI] [PubMed] [Google Scholar]
  • 26.Conrad KL, Ford K, Marinelli M, Wolf ME. Dopamine receptor expression and distribution dynamically change in the rat nucleus accumbens after withdrawal from cocaine self-administration. Neuroscience. 2010;169:182–194. doi: 10.1016/j.neuroscience.2010.04.056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Heber D, Carpenter CL. Addictive genes and the relationship to obesity and inflammation. Mol Neurobiol. 2011;44:160–165. doi: 10.1007/s12035-011-8180-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Noble EP. D2 dopamine receptor gene in psychiatric and neurologic disorders and its phenotypes. Am J Med Genet B Neuropsychiatr Genet. 2003;116B:103–125. doi: 10.1002/ajmg.b.10005. [DOI] [PubMed] [Google Scholar]
  • 29.Blum K, Sheridan PJ, Wood RC, Braverman ER, Chen TJ, et al. The D2 dopamine receptor gene as a determinant of reward deficiency syndrome. J R Soc Med. 1996;89:396–400. doi: 10.1177/014107689608900711. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Bowirrat A, Oscar-Berman M. Relationship between dopaminergic neurotransmission, alcoholism, and Reward Deficiency syndrome. Am J Med Genet B Neuropsychiatr Genet. 2005;132B:29–37. doi: 10.1002/ajmg.b.30080. [DOI] [PubMed] [Google Scholar]
  • 31.Gardner EL. Addiction and brain reward and antireward pathways. Adv Psychosom Med. 2011;30:22–60. doi: 10.1159/000324065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Blum K, Gardner E, Oscar-Berman M, Gold M. “Liking” and “wanting” linked to Reward Deficiency Syndrome (RDS): hypothesizing differential responsivity in brain reward circuitry. Curr Pharm Des. 2012;18:113–118. doi: 10.2174/138161212798919110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Blum K, Chen AL, Chen TJ, Braverman ER, Reinking J, et al. Activation instead of blocking mesolimbic dopaminergic reward circuitry is a preferred modality in the long term treatment of reward deficiency syndrome (RDS): a commentary. Theor Biol Med Model. 2008;5:24. doi: 10.1186/1742-4682-5-24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Bau CH, Almeida S, Hutz MH. The TaqI A1 allele of the dopamine D2 receptor gene and alcoholism in Brazil: association and interaction with stress and harm avoidance on severity prediction. Am J Med Genet. 2000;96:302–306. doi: 10.1002/1096-8628(20000612)96:3<302::aid-ajmg13>3.0.co;2-i. [DOI] [PubMed] [Google Scholar]
  • 35.Nemoda Z, Szekely A, Sasvari-Szekely M. Psychopathological aspects of dopaminergic gene polymorphisms in adolescence and young adulthood. Neurosci Biobehav Rev. 2011;35:1665–1686. doi: 10.1016/j.neubiorev.2011.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Walton ME, Groves J, Jennings KA, Croxson PL, Sharp T, et al. Comparing the role of the anterior cingulate cortex and 6-hydroxydopamine nucleus accumbens lesions on operant effort-based decision making. Eur J Neurosci. 2009;29:1678–1691. doi: 10.1111/j.1460-9568.2009.06726.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Chen TJ, Blum K, Mathews D, Fisher L, Schnautz N, et al. Are dopaminergic genes involved in a predisposition to pathological aggression? Hypothesizing the importance of “super normal controls” in psychiatricgenetic research of complex behavioral disorders. Med Hypotheses. 2005;65:703–707. doi: 10.1016/j.mehy.2005.04.037. [DOI] [PubMed] [Google Scholar]
  • 38.Rice JP, Suggs LE, Lusk AV, Parker MO, Candelaria-Cook FT, et al. Effects of exposure to moderate levels of ethanol during prenatal brain development on dendritic length, branching, and spine density in the nucleus accumbens and dorsal striatum of adult rats. Alcohol. 2012;46:577–584. doi: 10.1016/j.alcohol.2011.11.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Shabani M, Hosseinmardi N, Haghani M, Shaibani V, Janahmadi M. Maternal exposure to the CB1 cannabinoid agonist WIN 55212-2 produces robust changes in motor function and intrinsic electrophysiological properties of cerebellar Purkinje neurons in rat offspring. Neuroscience. 2011;172:139–152. doi: 10.1016/j.neuroscience.2010.10.031. [DOI] [PubMed] [Google Scholar]
  • 40.Ying W, Jang FF, Teng C, Tai-Zhen H. Apoptosis may involve in prenatally heroin exposed neurobehavioral teratogenicity? Med Hypotheses. 2009;73:976–977. doi: 10.1016/j.mehy.2009.04.059. [DOI] [PubMed] [Google Scholar]
  • 41.Estelles J, Rodríguez-Arias M, Maldonado C, Aguilar MA, Miñarro J. Gestational exposure to cocaine alters cocaine reward. Behav Pharmacol. 2006;17:509–515. doi: 10.1097/00008877-200609000-00017. [DOI] [PubMed] [Google Scholar]
  • 42.Derauf C, Kekatpure M, Neyzi N, Lester B, Kosofsky B. Neuroimaging of children following prenatal drug exposure. Semin Cell Dev Biol. 2009;20:441–454. doi: 10.1016/j.semcdb.2009.03.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Novak G, Fan T, O’dowd BF, George SR. Striatal development involves a switch in gene expression networks, followed by a myelination event: Implications for neuropsychiatric disease. Synapse. 2013;67:179–188. doi: 10.1002/syn.21628. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Bannon MJ, Michelhaugh SK, Wang J, Sacchetti P. The human dopamine transporter gene: gene organization, transcriptional regulation, and potential involvement in neuropsychiatric disorders. Eur Neuropsychopharmacol. 2001;11:449–455. doi: 10.1016/s0924-977x(01)00122-5. [DOI] [PubMed] [Google Scholar]
  • 45.Inoue-Murayama M, Adachi S, Mishima N, Mitani H, Takenaka O, et al. Variation of variable number of tandem repeat sequences in the 3′-untranslated region of primate dopamine transporter genes that affects reporter gene expression. Neurosci Lett. 2002;334:206–210. doi: 10.1016/s0304-3940(02)01125-4. [DOI] [PubMed] [Google Scholar]
  • 46.Morón JA, Brockington A, Wise RA, Rocha BA, Hope BT. Dopamine uptake through the norepinephrine transporter in brain regions with low levels of the dopamine transporter: evidence from knock-out mouse lines. J Neurosci. 2002;22:389–395. doi: 10.1523/JNEUROSCI.22-02-00389.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Yavich L, Forsberg MM, Karayiorgou M, Gogos JA, Männistö PT. Site-specific role of catechol-O-methyltransferase in dopamine overflow within prefrontal cortex and dorsal striatum. J Neurosci. 2007;27:10196–10209. doi: 10.1523/JNEUROSCI.0665-07.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Schultz W. Predictive reward signal of dopamine neurons. J Neurophysiol. 1998;80:1–27. doi: 10.1152/jn.1998.80.1.1. [DOI] [PubMed] [Google Scholar]
  • 49.Torres GE, Gainetdinov RR, Caron MG. Plasma membrane monoamine transporters: structure, regulation and function. Nat Rev Neurosci. 2003;4:13–25. doi: 10.1038/nrn1008. [DOI] [PubMed] [Google Scholar]
  • 50.Sonders MS, Zhu SJ, Zahniser NR, Kavanaugh MP, Amara SG. Multiple ionic conductances of the human dopamine transporter: the actions of dopamine and psychostimulants. J Neurosci. 1997;17:960–974. doi: 10.1523/JNEUROSCI.17-03-00960.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Wheeler DD, Edwards AM, Chapman BM, Ondo JG. A model of the sodium dependence of dopamine uptake in rat striatal synaptosomes. Neurochem Res. 1993;18:927–936. doi: 10.1007/BF00998279. [DOI] [PubMed] [Google Scholar]
  • 52.Di Chiara G. The role of dopamine in drug abuse viewed from the perspective of its role in motivation. Drug Alcohol Depend. 1995;38:95–137. doi: 10.1016/0376-8716(95)01118-i. [DOI] [PubMed] [Google Scholar]
  • 53.Rodriguez PC, Pereira DB, Borgkvist A, Wong MY, Barnard C, et al. Fluorescent dopamine tracer resolves individual dopaminergic synapses and their activity in the brain. Proc Natl Acad Sci U S A. 2013;110:870–875. doi: 10.1073/pnas.1213569110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Vandenbergh DJ. Molecular cloning of neurotransmitter transporter genes: beyond coding region of cDNA. Methods Enzymol. 1998;296:498–514. doi: 10.1016/s0076-6879(98)96036-0. [DOI] [PubMed] [Google Scholar]
  • 55.Kilty JE, Lorang D, Amara SG. Cloning and expression of a cocaine-sensitive rat dopamine transporter. Science. 1991;254:578–579. doi: 10.1126/science.1948035. [DOI] [PubMed] [Google Scholar]
  • 56.Vaughan RA, Kuhar MJ. Dopamine transporter ligand binding domains. Structural and functional properties revealed by limited proteolysis. J Biol Chem. 1996;271:21672–21680. doi: 10.1074/jbc.271.35.21672. [DOI] [PubMed] [Google Scholar]
  • 57.Sasaki T, Ito H, Kimura Y, Arakawa R, Takano H, et al. Quantification of dopamine transporter in human brain using PET with 18F-FE-PE2I. J Nucl Med. 2012;53:1065–1073. doi: 10.2967/jnumed.111.101626. [DOI] [PubMed] [Google Scholar]
  • 58.Du Y, Nie Y, Li Y, Wan YJ. The association between the SLC6A3 VNTR 9-repeat allele and alcoholism-a meta-analysis. Alcohol Clin Exp Res. 2011;35:1625–1634. doi: 10.1111/j.1530-0277.2011.01509.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Hahn T, Heinzel S, Dresler T, Plichta MM, Renner TJ, et al. Association between reward-related activation in the ventral striatum and trait reward sensitivity is moderated by dopamine transporter genotype. Hum Brain Mapp. 2011;32:1557–1565. doi: 10.1002/hbm.21127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Drtilkova I, Sery O, Theiner P, Uhrova A, Zackova M, et al. Clinical and molecular-genetic markers of ADHD in children. Neuro Endocrinol Lett. 2008;29:320–327. [PubMed] [Google Scholar]
  • 61.Yang B, Chan RC, Jing J, Li T, Sham P, et al. A meta-analysis of association studies between the 10-repeat allele of a VNTR polymorphism in the 3′-UTR of dopamine transporter gene and attention deficit hyperactivity disorder. Am J Med Genet B Neuropsychiatr Genet. 2007;144B:541–550. doi: 10.1002/ajmg.b.30453. [DOI] [PubMed] [Google Scholar]
  • 62.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;23:540–545. doi: 10.1002/humu.20039. [DOI] [PubMed] [Google Scholar]
  • 63.Blum K, Wood RC, Braverman ER, Chen TJ, Sheridan PJ. The D2 dopamine receptor gene as a predictor of compulsive disease: Bayes’ theorem. Funct Neurol. 1995;10:37–44. [PubMed] [Google Scholar]
  • 64.Hoffman EK, Hill SY, Zezza N, Thalamuthu A, Weeks DE, et al. Dopaminergic mutations: within-family association and linkage in multiplex alcohol dependence families. Am J Med Genet B Neuropsychiatr Genet. 2008;147B:517–526. doi: 10.1002/ajmg.b.30630. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Dahlgren A, Wargelius HL, Berglund KJ, Fahlke C, Blennow K, et al. Do alcohol-dependent individuals with DRD2 A1 allele have an increased risk of relapse? A pilot study. Alcohol Alcohol. 2011;46:509–513. doi: 10.1093/alcalc/agr045. [DOI] [PubMed] [Google Scholar]
  • 66.Kraschewski A, Reese J, Anghelescu I, Winterer G, Schmidt LG, et al. Association of the dopamine D2 receptor gene with alcohol dependence: haplotypes and subgroups of alcoholics as key factors for understanding receptor function. Pharmacogenet Genomics. 2009;19:513–527. doi: 10.1097/fpc.0b013e32832d7fd3. [DOI] [PubMed] [Google Scholar]
  • 67.Teh LK, Izuddin AF, M H FH, Zakaria ZA, Salleh MZ. Tridimensional personalities and polymorphism of dopamine D2 receptor among heroin addicts. Biol Res Nurs. 2012;14:188–196. doi: 10.1177/1099800411405030. [DOI] [PubMed] [Google Scholar]
  • 68.Van Tol HH. Structural and functional characteristics of the dopamine D4 receptor. Adv Pharmacol. 1998;42:486–490. doi: 10.1016/s1054-3589(08)60794-2. [DOI] [PubMed] [Google Scholar]
  • 69.Lai JH, Zhu YS, Huo ZH, Sun RF, Yu B, et al. Association study of polymorphisms in the promoter region of DRD4 with schizophrenia, depression, and heroin addiction. Brain Res. 2010;1359:227–232. doi: 10.1016/j.brainres.2010.08.064. [DOI] [PubMed] [Google Scholar]
  • 70.Biederman J, Petty CR, Ten Haagen KS, Small J, Doyle AE, et al. Effect of candidate gene polymorphisms on the course of attention deficit hyperactivity disorder. Psychiatry Res. 2009;170:199–203. doi: 10.1016/j.psychres.2008.12.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Faraone SV, Doyle AE, Mick E, Biederman J. Meta-analysis of the association between the 7-repeat allele of the dopamine D(4) receptor gene and attention deficit hyperactivity disorder. Am J Psychiatry. 2001;158:1052–1057. doi: 10.1176/appi.ajp.158.7.1052. [DOI] [PubMed] [Google Scholar]
  • 72.Grzywacz A, Kucharska-Mazur J, Samochowiec J. Association studies of dopamine D4 receptor gene exon 3 in patients with alcohol dependence. Psychiatr Pol. 2008;42:453–461. [PubMed] [Google Scholar]
  • 73.Kotler M, Cohen H, Segman R, Gritsenko I, Nemanov L, et al. Excess dopamine D4 receptor (D4DR) exon III seven repeat allele in opioid-dependent subjects. Mol Psychiatry. 1997;2:251–254. doi: 10.1038/sj.mp.4000248. [DOI] [PubMed] [Google Scholar]
  • 74.Byerley W, Hoff M, Holik J, Caron MG, Giros B. VNTR polymorphism for the human dopamine transporter gene (DAT1) Hum Mol Genet. 1993;2:335. doi: 10.1093/hmg/2.3.335. [DOI] [PubMed] [Google Scholar]
  • 75.Galeeva AR, Gareeva AE, Iur’ev EB, Khusnutdinova EK. VNTR polymorphisms of the serotonin transporter and dopamine transporter genes in male opiate addicts. Mol Biol (Mosk) 2002;36:593–598. [PubMed] [Google Scholar]
  • 76.Reese J, Kraschewski A, Anghelescu I, Winterer G, Schmidt LG, et al. Haplotypes of dopamine and serotonin transporter genes are associated with antisocial personality disorder in alcoholics. Psychiatr Genet. 2010;20:140–152. doi: 10.1097/YPG.0b013e32833a1ecb. [DOI] [PubMed] [Google Scholar]
  • 77.Cook EH, Jr, Stein MA, Krasowski MD, Cox NJ, Olkon DM, et al. Association of attention-deficit disorder and the dopamine transporter gene. Am J Hum Genet. 1995;56:993–998. [PMC free article] [PubMed] [Google Scholar]
  • 78.Lee SS, Lahey BB, Waldman I, Van Hulle CA, Rathouz P, et al. Association of dopamine transporter genotype with disruptive behavior disorders in an eight-year longitudinal study of children and adolescents. Am J Med Genet B Neuropsychiatr Genet. 2007;144B:310–317. doi: 10.1002/ajmg.b.30447. [DOI] [PubMed] [Google Scholar]
  • 79.Schellekens AF, Franke B, Ellenbroek B, Cools A, de Jong CA, et al. Reduced dopamine receptor sensitivity as an intermediate phenotype in alcohol dependence and the role of the COMT Val158Met and DRD2 Taq1A genotypes. Arch Gen Psychiatry. 2012;69:339–348. doi: 10.1001/archgenpsychiatry.2011.1335. [DOI] [PubMed] [Google Scholar]
  • 80.Nedic G, Nikolac M, Sviglin KN, Muck-Seler D, Borovecki F, et al. Association study of a functional catechol-O-methyltransferase (COMT) Val108/158Met polymorphism and suicide attempts in patients with alcohol dependence. Int J Neuropsychopharmacol. 2011;14:377–388. doi: 10.1017/S1461145710001057. [DOI] [PubMed] [Google Scholar]
  • 81.Demetrovics Z, Varga G, Szekely A, Vereczkei A, Csorba J, et al. Association between Novelty Seeking of opiate-dependent patients and the catechol-O-methyltransferase Val(158)Met polymorphism. Compr Psychiatry. 2010;51:510–515. doi: 10.1016/j.comppsych.2009.11.008. [DOI] [PubMed] [Google Scholar]
  • 82.Baransel Isir AB, Oguzkan S, Nacak M, Gorucu S, Dulger HE, et al. The catechol-O-methyl transferase Val158Met polymorphism and susceptibility to cannabis dependence. Am J Forensic Med Pathol. 2008;29:320–322. doi: 10.1097/PAF.0b013e3181847e56. [DOI] [PubMed] [Google Scholar]
  • 83.Merenäkk L, Mäestu J, Nordquist N, Parik J, Oreland L, et al. Effects of the serotonin transporter (5-HTTLPR) and α2A-adrenoceptor (C-1291G) genotypes on substance use in children and adolescents: a longitudinal study. Psychopharmacology (Berl) 2011;215:13–22. doi: 10.1007/s00213-010-2109-z. [DOI] [PubMed] [Google Scholar]
  • 84.van der Zwaluw CS, Engels RC, Vermulst AA, Rose RJ, Verkes RJ, et al. A serotonin transporter polymorphism (5-HTTLPR) predicts the development of adolescent alcohol use. Drug Alcohol Depend. 2010;112:134–139. doi: 10.1016/j.drugalcdep.2010.06.001. [DOI] [PubMed] [Google Scholar]
  • 85.Kosek E, Jensen KB, Lonsdorf TB, Schalling M, Ingvar M. Genetic variation in the serotonin transporter gene (5-HTTLPR, rs25531) influences the analgesic response to the short acting opioid Remifentanil in humans. Mol Pain. 2009;5:37. doi: 10.1186/1744-8069-5-37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Ray R, Ruparel K, Newberg A, Wileyto EP, Loughead JW, et al. Human Mu Opioid Receptor (OPRM1 A118G) polymorphism is associated with brain mu-opioid receptor binding potential in smokers. Proc Natl Acad Sci U S A. 2011;108:9268–9273. doi: 10.1073/pnas.1018699108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Szeto CY, Tang NL, Lee DT, Stadlin A. Association between mu opioid receptor gene polymorphisms and Chinese heroin addicts. Neuroreport. 2001;12:1103–1106. doi: 10.1097/00001756-200105080-00011. [DOI] [PubMed] [Google Scholar]
  • 88.Bart G, Kreek MJ, Ott J, LaForge KS, Proudnikov D, et al. Increased attributable risk related to a functional mu-opioid receptor gene polymorphism in association with alcohol dependence in central Sweden. Neuropsychopharmacology. 2005;30:417–422. doi: 10.1038/sj.npp.1300598. [DOI] [PubMed] [Google Scholar]
  • 89.Hall FS, Sora I, Uhl GR. Ethanol consumption and reward are decreased in mu-opiate receptor knockout mice. Psychopharmacology (Berl) 2001;154:43–49. doi: 10.1007/s002130000622. [DOI] [PubMed] [Google Scholar]
  • 90.Namkoong K, Cheon KA, Kim JW, Jun JY, Lee JY. Association study of dopamine D2, D4 receptor gene, GABAA receptor beta subunit gene, serotonin transporter gene polymorphism with children of alcoholics in Korea: a preliminary study. Alcohol. 2008;42:77–81. doi: 10.1016/j.alcohol.2008.01.004. [DOI] [PubMed] [Google Scholar]
  • 91.Mhatre M, Ticku MK. Chronic ethanol treatment upregulates the GABA receptor beta subunit expression. Brain Res Mol Brain Res. 1994;23:246–252. doi: 10.1016/0169-328x(94)90231-3. [DOI] [PubMed] [Google Scholar]
  • 92.Young RM, Lawford BR, Feeney GF, Ritchie T, Noble EP. Alcohol-related expectancies are associated with the D2 dopamine receptor and GABAA receptor beta3 subunit genes. Psychiatry Res. 2004;127:171–183. doi: 10.1016/j.psychres.2003.11.004. [DOI] [PubMed] [Google Scholar]
  • 93.Feusner J, Ritchie T, Lawford B, Young RM, Kann B, et al. GABA(A) receptor beta 3 subunit gene and psychiatric morbidity in a post-traumatic stress disorder population. Psychiatry Res. 2001;104:109–117. doi: 10.1016/s0165-1781(01)00296-7. [DOI] [PubMed] [Google Scholar]
  • 94.Noble EP, Zhang X, Ritchie T, Lawford BR, Grosser SC, et al. D2 dopamine receptor and GABA(A) receptor beta3 subunit genes and alcoholism. Psychiatry Res. 1998;81:133–147. doi: 10.1016/s0165-1781(98)00084-5. [DOI] [PubMed] [Google Scholar]
  • 95.Nikulina V, Widom CS, Brzustowicz LM. Child abuse and neglect, MAOA, and mental health outcomes: a prospective examination. Biol Psychiatry. 2012;71:350–357. doi: 10.1016/j.biopsych.2011.09.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Alia-Klein N, Parvaz MA, Woicik PA, Konova AB, Maloney T, et al. Gene × disease interaction on orbitofrontal gray matter in cocaine addiction. Arch Gen Psychiatry. 2011;68:283–294. doi: 10.1001/archgenpsychiatry.2011.10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Nilsson KW, Comasco E, Åslund C, Nordquist N, Leppert J, et al. MAOA genotype, family relations and sexual abuse in relation to adolescent alcohol consumption. Addict Biol. 2011;16:347–355. doi: 10.1111/j.1369-1600.2010.00238.x. [DOI] [PubMed] [Google Scholar]
  • 98.Treister R, Pud D, Ebstein RP, Laiba E, Gershon E, et al. Associations between polymorphisms in dopamine neurotransmitter pathway genes and pain response in healthy humans. Pain. 2009;147:187–193. doi: 10.1016/j.pain.2009.09.001. [DOI] [PubMed] [Google Scholar]
  • 99.Tikkanen R, Auvinen-Lintunen L, Ducci F, Sjöberg RL, Goldman D, et al. Psychopathy, PCL-R, and MAOA genotype as predictors of violent reconvictions. Psychiatry Res. 2011;185:382–386. doi: 10.1016/j.psychres.2010.08.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Gokturk C, Schultze S, Nilsson KW, von Knorring L, Oreland L, et al. Serotonin transporter (5-HTTLPR) and monoamine oxidase (MAOA) promoter polymorphisms in women with severe alcoholism. Arch Womens Ment Health. 2008;11:347–355. doi: 10.1007/s00737-008-0033-6. [DOI] [PubMed] [Google Scholar]
  • 101.Contini V, Marques FZ, Garcia CE, Hutz MH, Bau CH. MAOA-uVNTR polymorphism in a Brazilian sample: further support for the association with impulsive behaviors and alcohol dependence. Am J Med Genet B Neuropsychiatr Genet. 2006;141B:305–308. doi: 10.1002/ajmg.b.30290. [DOI] [PubMed] [Google Scholar]
  • 102.Lee SY, Chen SL, Chen SH, Chu CH, Chang YH, et al. Interaction of the DRD3 and BDNF gene variants in subtyped bipolar disorder. Prog Neuropsychopharmacol Biol Psychiatry. 2012;39:382–387. doi: 10.1016/j.pnpbp.2012.07.015. [DOI] [PubMed] [Google Scholar]
  • 103.Li T, Hou Y, Cao W, Yan CX, Chen T, et al. Role of dopamine D3 receptors in basal nociception regulation and in morphine-induced tolerance and withdrawal. Brain Res. 2012;1433:80–84. doi: 10.1016/j.brainres.2011.11.045. [DOI] [PubMed] [Google Scholar]
  • 104.Vengeliene V, Leonardi-Essmann F, Perreau-Lenz S, Gebicke-Haerter P, Drescher K, et al. The dopamine D3 receptor plays an essential role in alcohol-seeking and relapse. FASEB J. 2006;20:2223–2233. doi: 10.1096/fj.06-6110com. [DOI] [PubMed] [Google Scholar]
  • 105.Mulert C, Juckel G, Giegling I, Pogarell O, Leicht G, et al. A Ser9Gly polymorphism in the dopamine D3 receptor gene (DRD3) and event-related P300 potentials. Neuropsychopharmacology. 2006;31:1335–1344. doi: 10.1038/sj.npp.1300984. [DOI] [PubMed] [Google Scholar]
  • 106.Limosin F, Romo L, Batel P, Adès J, Boni C, et al. Association between dopamine receptor D3 gene BalI polymorphism and cognitive impulsiveness in alcohol-dependent men. Eur Psychiatry. 2005;20:304–306. doi: 10.1016/j.eurpsy.2005.02.004. [DOI] [PubMed] [Google Scholar]
  • 107.Duaux E, Gorwood P, Griffon N, Bourdel MC, Sautel F, et al. Homozygosity at the dopamine D3 receptor gene is associated with opiate dependence. Mol Psychiatry. 1998;3:333–336. doi: 10.1038/sj.mp.4000409. [DOI] [PubMed] [Google Scholar]
  • 108.Spangler R, Wittkowski KM, Goddard NL, Avena NM, Hoebel BG, et al. Opiate-like effects of sugar on gene expression in reward areas of the rat brain. Brain Res Mol Brain Res. 2004;124:134–142. doi: 10.1016/j.molbrainres.2004.02.013. [DOI] [PubMed] [Google Scholar]
  • 109.Comings DE, Gonzalez N, Wu S, Saucier G, Johnson P, et al. Homozygosity at the dopamine DRD3 receptor gene in cocaine dependence. Mol Psychiatry. 1999;4:484–487. doi: 10.1038/sj.mp.4000542. [DOI] [PubMed] [Google Scholar]

RESOURCES