APP下载

Advances in genetic studies of substance abuse in China

2013-12-09YanSUNShiqiuMENGJialiLIJieSHILinLU

上海精神医学 2013年4期
关键词:分组整体成员

Yan SUN, Shiqiu MENG, Jiali LI, Jie SHI*, Lin LU*

•Review•

Advances in genetic studies of substance abuse in China

Yan SUN1, Shiqiu MENG1, Jiali LI1, Jie SHI1*, Lin LU2*

1. Introduction

Drug addiction is a chronic relapsing disorder, characterized by a compulsion to use drugs and the emergence of a negative emotional state after withdrawal.[1]The number of people with drug addiction in China has been increasing annually making it a serious public health problem.[2,3]

The brain reward system plays a key role in the development of drug addiction.[4]The common genetic influences underlying addiction are shared by different drugs. Compelling evidence indicates the critical role of the dopamine system, which is directly or indirectly activated by all abused drugs, in drug addiction.[5]In addition to dopamine, multiple neurotransmitter and enzyme systems have been shown to play a role in the reinforcing effects of drugs of abuse, including opioid peptides, γ-aminobutyric acid (GABA), glutamate,endocannabinoids, serotonin and metabolic enzymes.[6,7]

Genetic influences account for 30 to 70% of addiction vulnerability. These genetic influences are induced by multiple genes, each of which may make only a minor contribution to the variance of addiction risk.[8]Addiction is a complex condition that results from the combined interaction of several factors including environmental influences, drug-induced neurobiological changes, and personality traits. Genetic variations that affect these factors may work in concert to affect the vulnerability to addiction and the severity of addiction. Genetic factors influence different stages in the initiation and progression of substance addiction, including dependence,withdrawal and relapse.[9,10]Two main strategies have been used to identify genetic variations that influence addiction vulnerability and other addiction-related phenomena: the candidate gene approach and the genome-wide linkage approach.[11]Coupled with genetic epidemiological analyses, these studies have provided solid evidence about the importance of genetic factors in addiction.

Genetic research on addiction in China has mainly focused on opiates, alcohol, nicotine and some of the newer drugs of abuse, which together make up the majority of substance abuse disorders in China.Opiates, especially heroin, are widely and traditionally abused in China.[12,13]According to the China 2013 Narcotics Report, there are 1.27 million persons with opium addiction in the country, accounting for 60.6%of all drug addicts nationally.[2]The use of the newer drugs of abuse – mainly methamphetamine (METH),3,4-methylenedioxymethamphetamine (MDMA), and ketamine – has spread in China since 1997.[14]These more recent drugs of abuse are becoming popular recreational drugs;[15]they already account for 38% of all drug addicts (about 800,000 individuals) in the country[2]and, more concerning, for the majority of individuals who are starting to abuse drugs.[16]Additionally, alcohol consumption has increased considerably in China in the past three decades,[17,18]an increase that is occurringacross all age groups, especially among young people in urban areas.[19]The social burden caused by diseases related to alcohol abuse is considerable in China.[20]Also, chronic smoking problems are particularly serious in China: the Chinese Center for Disease Control and Prevention reports that China has the largest population of smokers in the world (over 350 million) and that many non-smokers experience health problems caused by exposure to second hand smoke.[21,22]

This review focuses on genetic advances in substance abuse research conducted by Chinese researchers, summarizing their contributions to the understanding of drug dependence and to the evidence base that is required to improve the prevention and management of substance addiction in China. We identified potential studies for inclusion in this review by searching the Pubmed database using the terms“genetic” or “polymorphism” or “gene” with “addiction”or “dependence”. Identified articles were included in the review if they were conducted at Chinese institutions and if they were considered potentially important by the authors. We also identified additional studies by checking the reference lists of the identified articles and by consulting experts.

2. Candidate gene studies

2.1 Dopamine system

Dopamine is an important neurotransmitter in the brain that controls various functions. The dopamine system plays a key role in reward mechanisms. The variety of genes that encode dopamine receptors, dopamine transporters, and dopamine metabolic enzymes affect the heritability of drug addiction.[23]In the central nervous system, dopamine receptors are widely expressed and involved in the control of locomotion, cognition, emotion and the neuroendocrine system.[24]

The important effects of genetic polymorphisms of dopamine receptors and of the dopamine transporter on substance abuse have long been established.[23,25]Some studies supported the hypothesis that genetic variants in dopamine systems increase the risk of addiction disorders by affecting different aspects of impulsivity or the capacity to inhibit the choice of a less rewarding signal.[23]Using Chinese samples, a number of Chinese studies have verified the results of studies conducted in other contries. The dopamine D2receptor (DRD2)mRNA was found to be abundantly expressed in all dopaminergic terminal-enriched areas.[26]DRD2 TaqI A1 allele carriers were shown to be prone to heroin abuse.[27]Li and her team found that individuals who carry the DRD2 TaqI RFLP A1 allele showed significantly stronger cue-elicited craving.[28]Du and colleagues performed a meta-analysis and suggested a possible association between the dopamine transporter gene 1 (DAT) gene polymorphisms and alcoholism.[29]Ling and colleagues reported that polymorphisms of the DAT gene may play an important role in smoking onset and that there is a possible interactive effect between DAT and early smoking onset that contributes to the susceptibility to nicotine dependence.[30]Dopamine D4receptor (DRD4)polymorphisms were shown to be related to heroin dependence,[31,32]and DRD4 exon III variable number of tandem repeat (VNTR) polymorphisms may play important roles in the development of opiate abuse.[33]Heroin addicts who carried the DRD4 VNTR long-type allele had stronger cue-elicited craving.[34]Catechol-O-methyltransferase (COMT) played an essential role in dopamine inactivation. The rs4860 (Val158Met)functional single-nucleotide polymorphism (SNP) on the COMT gene resulting in a three- to four-fold increase in enzyme activity[35]has been extensively studied in psychiatric disorders, including drug dependence.[36]Chinese heroin addicts with the TT genotype of COMT rs737866 variants had higher novelty-seeking scores and an earlier age of onset of heroin use than addicts with the CT or CC genotype.[37]However, fi ndings about the association between this SNP and the age of onset of heroin use remain controversial.[38-42]

Similar to the findings of genetic studies conducted in other countries, studies about the association between genetic variants of the dopamine system and substance abuse in Han Chinese populations with addiction have also been inconclusive. Some studies reported that neither the DRD2 nor DAT gene plays a significant role in alcoholism in Taiwanese populations.[43,44]Even after stratification by the relevant genotypes of alcohol dehydrogenase 2 (ADH2) and aldehyde dehydrogenase 2 (ALDH2), no significant association was found between the genetic variants of DRD2 and alcoholism in a Han Chinese population.[45]Tsai and colleagues investigated the associations between DRD2 TaqI and DRD4 exon III VNTR polymorphisms and METH dependence in a male Han Chinese sample, but they did not find any significant results.[46]Similarly, no significant difference was found in the VNTR distribution of DAT1 between heroin abusers and healthy individuals in China.[27]The DAT was the main modulator of MAP/amphetamine-induced dopamine release and dopamine neurotoxicity, but when Liu and colleagues tested the association between a DAT gene polymorphism and clinical variations in METH abusers,no significant association was found.[47]

Genetic variants can also affect the treatment outcome for nicotine dependence. Recently, Sun and colleagues found that Chinese smokers with the COMT Val/Val genotype had greater abstinence rates when treated with nicotine replacement therapy.[48]Furthermore,DRD2 variants have been found to be associated with the dose of methadone required in the treatment of Chinese individuals with heroin addiction.[49]

2.2 Endogenous opioid and cannabinoid systems

Opioid peptides activate G-protein-coupled μ-, δ- and κ-opioid receptors, which differ in affinities and response profiles. Opioid receptors are physiologically activated by the endogenous neuropeptides β-endorphin, leuenkephalin, met-enkephalin and dynorphin. These peptides are not limited to binding with a certain type of opioid receptor. Individuals with a genetic predisposition to substance abuse may have defects in opioid peptide and receptor genes.[50]Opioid receptors not only mediate the pharmacological actions of opioids, but they also modulate the in vivo effects of other drugs of abuse.[51]The human mu-opioid receptor (MOR) represents the most important target of morphine, and the genetic variants of the MOR gene (OPRM1) have been extensively studied with regard to addiction.[52]

Genetic polymorphisms in OPRM1 have been associated with heroin dependence in Chinese samples;[53]however,several studies with negative results have also been reported.[54,55]Addiction-related subjective responses at the time of first drug use and during drug-seeking behavior may be modulated by OPRM1 polymorphisms.[56-58]Although many studies have investigated the association between the OPRM1 A118G polymorphism and alcohol dependence, no consensus has been reached.[59,60]Wang and colleagues performed an ethnicity-specific meta-analysis, which reported that the A118G polymorphism was significantly associated with the risk of alcohol dependence risk in Asians but not in Caucasians.[61]

Preprodynorphin is naturally derived from prodynorphin and is the primary endogenous ligand of the κ-opioid receptor. Variants of the preprodynorphin gene have been studied with regard to opiate, cocaine, and alcohol addiction.[62]Three variants of the Preprodynorphin(PDYN) gene were found to be associated with heroin dependence in Chinese subjects.[63]Additionally, PDYN was significantly related to the risk of developing opioid dependence, however, this effect has only been found in females.[64]

Endogenous cannabinoid functionally interacts with opioid systems. The cannabinoid brain receptor type 1 (CB1) and mu-opioid receptor type 1 (MOR1) colocalize in the same presynaptic nerve terminals and signal through a common receptor-mediated G-protein pathway.[65]The cannabinoid receptor 1 (CNR1) gene is primarily expressed in the central nervous system.[66]The endocannabinoid system has been repeatedly found to be associated with drug addiction. However, no association was found between repeat variations of the CNR1 gene and heroin abuse in a Chinese sample.[67]

2.3 Serotonin system

Many studies have shown that the brain neurotransmitter serotonin (5-hydroxytryptamine [5-HT]) plays an important role in the regulation of reward-related processing.[68,69]Growing evidence also indicates deregulation of the serotonin system after long-term exposure to abused drugs.[70]Altered 5-HT transmission has been thought to increase susceptibility to a wide range of substance abuse disorders.[71]Genetic polymorphisms of 5-HT system genes collectively give rise to a unique genetic architecture that may contribute to individual risk of addiction, development of addiction,treatment effectiveness and potential for full recovery.[72]

In a recent study, Gao confirmed the significant association between heroin dependence and four SNPs of the 5-HT receptor (HTR) genes in a cohort of Han Chinese.[73]The serotonin transporter protein regulates serotonin concentrations in the synaptic cleft. Tan and colleagues provided evidence of an association between heroin dependence and a VNTR polymorphism at the serotonin transporter (5-HTT) gene.[57]Upstream of the 5-HTT gene is a 5-HT transporter gene-linked polymorphic region (5-HTTLPR). Compared to the L allele, the S allele is associated with decreased transcription efficiency of the 5-HTT gene. Wang and colleagues verified that the 5-HTTLPR polymorphism may be associated with alcohol dependence in a Chinese population, and that the L/L or L/S genotype may be a genetic factor responsible for decreased susceptibility to alcohol abuse.[74]The 5-HT system is also implicated in the pathogenesis of smoking behaviors.[75]Chu and colleagues validated such an effect of the 5-HTTLPR polymorphism on smoking behavior in Chinese males.[76]

2.4 Alcohol metabolic enzymes

Enzymes involved in ethanol metabolism have been considered major biological factors that influence drinking behavior and the development of alcohol dependence.[77]The genes with the most convincing evidence about their relationships to alcoholism are ADH and ALDH2, which encode two enzymes that catalyze consecutive steps in alcohol degradation. The human ADH genes, ADH1B and ADH1C were found to have alleles that produce enzymes that catalyze the oxidation of ethanol to acetaldehyde.Alcohol dehydrogenases that perform most of the alcohol metabolism are homodimeric enzymes, which contain α, β, and γ subunits, being encoded by ADH1,ADH2, and ADH3 respectively.[78]The genetic variants of these genes, which have different ethnic distributions,encode enzymes with different characteristics. The polymorphic distributions of the ADH and ALDH genes are quite different in the Han Chinese population compared to other populations.[79]Thus, studies of the Chinese population can provide a unique opportunity to clarify the influence of these genotypic differences on the phenotypic differences and underlying mechanisms of alcoholism.

Genetic differences in the enzymes that metabolize alcohol can substantially affect the risk of alcoholism.Enzymatic studies have shown that ADH1B*2/*2-encoded enzymes exhibit a 30- to 40-fold greater Vmax for ethanol oxidation than the ADH1B*1/*1-encoded enzymes.[80,81]The ADH1B*2 allele, which is common in East Asians, is protective against alcoholism.[82,83]In Chinese patients being treated for alcoholism, the ADH2*2 and ADH3*1 alleles also showed a protective role.[84]The ALDH2 gene has two variant alleles: ALDH2*1 and ALDH2*2. The ALDH2*2 allele is associated with a deficiency in ALDH2 activity, which decreases the risk of alcoholism.[85]However, ALDH2*2 and ADH1B*2 did not decrease the risk of high alcohol consumption in Han Chinese males with stroke.[86]Thomasson and colleagues found that Han Chinese males in Taiwan with alcoholism had significantly lower frequencies of the ADH1B*2,ADH1C*1 and ALDH2*2 alleles than non-alcoholics.[87]Nonetheless, there are also studies in Chinese samples that do not confirm these findings.[88]And different minority groups within the Chinese population may have different genetic risk factors for alcoholism; for example,individuals in the Elunchun minority have much lower frequencies of ADH2*2 and ALDH2*2 alleles than other Chinese minorities.[89]

Alcohol metabolic enzymes may interact with other risk factors for alcoholism (e.g. other genes, gender and environment).[90]Chinese studies found a possible interaction between the ADH1B, ALDH2, and DRD2 genes in alcoholics with anxious-depressive symptoms.[91]The ALDH2*2 and ADH1B*2 alleles have cumulative dosage effects on alcoholism, and alcohol metabolism can be influenced by gender and alcohol-related-trait scores in different ways.[92,93]On the other hand, the protective effect of the ADH2*2 allele may occur independently of the ALDH2*2 allele.[94]

2.5 Monoamine oxidase gene

Monoamine oxidase (MAO) has been known to catalyze the oxidative deamination of numerous biogenic amines, including the key neurotransmitters-dopamine,norepinephrine and serotonin. Two forms of MAO have been identified: monoamine oxidase A (MAOA)and B (MAOB).[95]An estimated 70% of neuronal MAOs are type A, which is expressed at the highest level in catecholaminergic neurons.[96,97]MAOA is localized in brain regions that have been implicated in addiction and in the behavioral response to novel stimuli.[98,99]Two MAOA polymorphisms, the EcoRV polymorphism at position 1460[100]and the VNTR polymorphism in the promoter region,[101]are particularly important because they affect enzyme activity and transcriptional activity,respectively. A modest increase in dopamine and a dramatic increase in aggressive traits were observed in MAOA knockout mice.[102,103]

Genetic variants in the MAO gene have been reported to be associated with the risk for substance abuse.[104,105]Chen and colleagues assessed the role of MAO gene polymorphisms in alcoholism in five ethnic groups in Taiwan. Significant associations between alcohol abuse and MAOA alleles were found among the Han Chinese, but not among the aboriginal groups.[106]Correlation studies suggested that the mitochondrial MAO/ALDH pathway may be the site of action of daidzin,which was shown to suppress alcohol intake in alcoholpreferring laboratory animals.[107]Lee and colleagues hypothesized that the ALDH2 gene might interact with the MAOA gene in subjects with alcoholism. In a study of Han Chinese persons in Taiwan with alcohol dependence and either comorbid antisocial personality disorder or comorbid anxiety-depressive symptoms, they found that the VNTRs of MAOA may have modified the protective effect of the ALDH2 gene.[108,109]Jin and colleagues demonstrated the MAOA gene polymorphisms could affect the initiation of smoking in a Chinese sample;individuals with the 1460T/O and three-repeat VNTR genotypes had a significantly increased risk for nicotine dependence.[110]However, no significant relationship was found between the long repeat alleles of the MAOA promoter VNTR polymorphism and heroin addiction in Chinese males.[111]

2.6 Cytochrome P450 enzymes

Cytochrome P450 (CYP) comprises a superfamily of enzymes that play an important role in metabolizing clinical medications, abused drugs, toxins and endogenous molecules. Drug metabolism by genetically polymorphic enzymes can have significant clinical implications for therapeutic failure, disease susceptibility and abuse liability.[112]Many of the drug-metabolizing CYP enzymes belong to the CYP2 family, which is highly polymorphic.The CYP2 family may play a role in modulating central functional pathways that are involved in drug-reinforced behavior and neurotoxicity.[113]

The CYP450 enzyme gene is a nicotine-metabolizing enzyme involved in neurotransmitter synthesis that plays an important role in nicotine dependence.[114]There is a review available on studies about the influence of CYP2A6 genetic polymorphisms on nicotine kinetics,smoking behaviors, and its differential effects on smoking initiation, conversion to dependence, the amount smoked during dependence, and cessation.[115]Liu and colleagues found reduced metabolic function of CYP2A6 in Chinese smokers that was associated with fewer cigarettes smoked, a later initiation of smoking regularly,a shorter duration of smoking, and a lower likelihood of smoking cessation.[116]Tang and colleagues reported on the interaction between CYP2A6 polymorphism and MAOA in risk modulation of smoking behavior(i.e., smoking initiation and smoking persistence) in a Chinese male population.[117]Chinese scientists have also identified important associations between genetic polymorphism of the CYP450 enzyme gene with the concomitant diseases of substance abuse disorders and with the dosage and side effects of pharmacological treatments for substance abuse disorders.[49,118,119]

2.7 Noradrenergic system

The importance of catecholamines in the mediation of substance addiction was first recognized in the 1970s.[120]Norepinephrine mediates morphine’s behavioral effects;[121]and noradrenergic pathways play a crucial role in the pathogenesis of a motivation-reward system in heroin addiction.[122,123]The norepinephrine transporter(NET) is responsible for the reuptake of norepinephrine into presynaptic neurons, and it is an important factor in the regulation of the noradrenergic system. NET gene expression can modulate timing and intensity of the analgesic effect of opiates.[124,125]. Yeh and colleagues confirmed the role of NET genetic variants in the development of heroin dependence among Han Chinese.[126]Studies from other countries have also reported that norepinephrine neurotransmission plays a critical role in the pathological processes associated with alcoholism;[127-129]but these findings were not confirmed in a study in China by Huang and colleagues who found no association between polymorphisms of the NET gene and alcohol dependence or its clinical subtypes.[130]

2.8 Glutamatergic and GABAergic systems

Glutamate is one of the most abundant excitatory neurotransmitters in the brain.[131]Glutamate receptors,which are expressed in several regions of the brain including the mesocorticolimbic dopamine regions, play a key role in addiction.[132]Glutamic acid decarboxylase(GAD) is the rate-limiting enzyme in the conversion of glutamate to GABA.[133]A significant association of GAD1 with heroin dependence has been reported.[134]Li and colleagues examined the association between heroin dependence among Han Chinese and 15 SNPs of the GAD1 gene using the MassARRAY system; they found significant associations of some novel SNP and haplotypes with heroin dependence that had not previously been identified in non-Chinese subjects.[135]

Opiate reinforcement is mediated by the inhibition of GABA release, thus disinhibiting dopamine neurotransmission. Individuals with a dysfunctional GABAergic system may release higher amounts of dopamine.[136]GABA receptors play an important role in the actions of benzodiazepines, barbiturates, alcohol and morphine dependence.[137,138]In 2003, Lin and colleagues reported a female-specific contribution of the GABA(A) receptor subunit genes to non-psychotic methamphetamine use disorder.[139]Then Loh and colleagues reported that the prevalence of the rs211014 SNP of the GABAAγ2 receptor subunit gene was significantly different between heroin-dependent and healthy Han Chinese.[140]Thus Chinese scientists have helped to delineate the functioning of this gene in addiction.

2.9 Circadian clock genes

Circadian clock genes are composed of a group of genes such as Per, Clock, Bmal1 and Cry.[141]Recently,many studies have shown that circadian clock genes are implicated in the origin or development of many diseases. Drug addiction has frequently been coupled with disruptions in diurnal rhythms.[142,143]Some studies have shown that circadian clock genes are implicated in the initiation or development of drug dependence.[144,145]Chinese researchers have also attempted to assess the effects of circadian clock genes on substance abuse.Wang and colleagues[146]and Liu and colleagues[147]found that drug dependence is influenced by inhibition of the expression of mPer1 in mice. Furthermore, Zou and colleagues were the first to report that a 54-nucleotide repeat polymorphism of hPer3 is significantly associated with heroin dependence.[148]

2.10 Brain-derived neurotrophic factor

Brain-derived neurotrophic factor (BDNF) plays an important role in the growth, survival and differentiation of developing neurons. It is a neurotrophic peptide that mediates synaptic plasticity, including drug-induced neuroadaptations.[149-151]Addictive drugs influence endogenous BDNF mRNA/protein expression in the mesocorticolimbic system.[152-154]Genetic polymorphisms in BDNF are associated with addiction, including opiate addiction – a finding that has been supported by a number of studies,[155-157]including studies among Chinese heroin addicts.[158]The rs6265 SNP results in a valine-to-methionine substitution in the BDNF predomain coding region that has been reported to be associated with different psychiatric disorders, including substance abuse.[159]Chinese studies showed AA carriers of BDNF rs6265 had an earlier onset of heroin dependence and a clearer tendency toward a family history of heroin dependence than GG carriers.[160,161]Moreover, this SNP was significantly related to alcohol dependence-related depression and to the effectiveness of sertraline treatment for alcohol dependence-related depression.[162]

2.11 Other candidate genes

Chinese studies have also identified other novel genetic variants for substance abuse. Dopamine β-hydroxylase(DBH)−1021TT carriers among Chinese heroin abusers were shown to have a longer addiction time and higher dosage of injected heroin.[163]Two novel copy number variants (CNVs) located downstream of the transforming growth factor β-1 binding protein 1 (LTBP1) gene and actin-filament binding protein frabin (FGD4) gene were associated with alcohol consumption.[164]Wei and collegues found that polymorphisms in the regulatory region of nuclear-related receptor 1 (Nurr1) gene were involved in the pathogenesis of alcohol dependence.[165]Their team also genotyped 384 SNPs within 45 candidate genes related to nicotine dependence in a Han Chinese sample by employing the Golden Gate genotyping assay,and confirmed the previous findings that DRD2, DRD3,DDC, CHRNB3, GABBR2 and CHRNA4 genetic variants were associated with nicotine dependence. Furthermore,their team was the first to report a significant association between nicotine dependence and genetic variants in DRD5, MAP3K4 and NPY1R.[166]

Genetic variants can also affect other aspects of substance addiction, including the development of related diseases, the prevalence of specific behavioral defects, the risk of poly-substance addiction, and the changes in brain function and structure that occur with substance addiction.[167-170]Genetic studies about these relationships have focused on several specific areas:

3.组建合作小组,创设学习氛围。结合学生特点,将学生分成五个合作学习小组。分组时均衡各组整体水平,注重小组成员间的差异互补。

(a) Addiction related diseases. Amyloid precursor protein-binding protein, family B, member 1(APBB1) is involved in the modulation of β-amyloid secretion and associated with Alzheimer’s disease pathogenesis.[171,172]APBB1 is also associated with nicotine dependence, a finding that was confirmed by a family-based genetic study in a sample of 2037 participants by Chen and colleagues.[173]This relationship between nicotine addiction and neurocognitive conditions has also been supported by studies which show that tobacco smoking is inversely correlated with Alzheimer’s disease and Parkinson’s disease.[174,175]The majority of heroin abusers use injection as the primary route of administration[176]and injection drug users comprise the largest risk group for the transmission of hepatitis C virus (HCV)[177](a condition that is highly prevalent in China). Peng and colleagues assessed genetic variations of HCV infection and found a higher prevalence of the 6a and 3b genotypes of HCV among heroin users than among individuals with HCV infection who do not abuse substances.[178]

(b) Addiction behaviors. It is known that subjective craving contributes to the continuation of drug use in active abusers and to the occurrence of relapse in detoxified abusers.[179]Jin and colleagues found the DRD2 TaqI RFLP A1 allele and the DRD4 VNTR polymorphism long type allele are associated with significantly stronger cue-elicited heroin craving in heroin dependence.[28,34]

(c) Poly-substance addiction. Alcohol and tobacco use are linked because they share several genetic risk factors.[180]Zhang and colleagues performed a bivariate genetic analysis of current tobacco smoking and alcohol drinking in China and confirmed common genetic vulnerability to tobacco and alcohol use in male twins.[181]

(d) Addiction-related changes in the brain. Unpublished work from our own lab has found that individuals with heroin addiction who have the ZNF804A rs1344706 genetic polymorphism (which has been linked to psychiatric disorders) are more likely to show changes in behavior and in gray matter volume, suggesting that this polymorphism can exacerbate the effects of heroin.

3. Genome-wide association studies

In this exciting era of gene discovery, a revolution of genetic technology has caused a shift from single-locus studies to genome-wide searches. The completion of the Human Genome Project in 2003 made it possible to conduct genome-wide association studies (GWASs).[182]The GWAS approach uses highly dense SNP markers to explore disease-linked genes by comparing patient samples with healthy controls. The GWAS approach is a powerful tool for identifying susceptibility alleles of complex diseases.[183]

4. Animal studies

Experimental genetic techniques, primarily conducted in genetically modified animals, are an important source of new knowledge about the interrelationship of genetic factors and behavioral outcomes in substance abuse.The molecular genetic technique of gene targeting to create mice with specific gene knockout mutations in the central nervous system has been employed to gain insight into the molecular and cellular basis of substance abuse.[189]For example, the differential expression of specific subunits of nicotinic AChR (obtained from knockout studies) has provided an explanation for their differential nicotine effects.[190]In China, Li and colleagues[191]reported that dopamine D3 receptor knockout mice had pronounced hypoalgesia, decreased morphine-induced tolerance, and attenuated withdrawal symptoms; this helped to clarify the interaction between morphineinduced antinociceptive tolerance and D3 receptors.

Irrespective of the presence or absence of genes that may increase or decrease vulnerability to addiction,studies have shown that altering the expression of numerous genes can also affect substance abuse.[192]MicroRNAs (miRNAs) are small, noncoding RNA molecules that regulate gene expression by binding to complementary sequences in the 3’ untranslated regions of target mRNA transcripts which usually results in translation inhibition and/or mRNA cleavage.[193]Recent studies have suggested that alterations in miRNA levels are linked to the mechanisms of substance abuse. For example, Huang and Li demonstrated that miRNAs mediated the effects of nicotine on gene expression.[194]Prolonged exposure to morphine causes an increase in miR-23b levels in striatal neuronal cells, which are involved in the regulation of vulnerability to cocaine addiction.[195,196]And Guo and colleagues found that differential expression of miRNA is related to the behavioral phenotype that is expressed when ethanol is withdrawn after chronic use.[197]

5. Summary and future directions

Ethnic differences can affect both the distribution of genotypes related to addiction and the behavioral responses to addiction.[198,199]Therefore, studies performed in the Chinese population provide a unique opportunity to look at the influence of these genotypic differences on phenotypic differences and, thus, to develop a more comprehensive understanding of the underlying mechanisms related to substance abuse. We have reviewed studies in China – primarily those using classic case-control designs – that examined the genetic basis of substance abuse, including studies about opiates,alcohol, nicotine and some more recently adopted drugs of abuse. The genetic research done by Chinese scientists has involved nearly every aspect of addiction, and some novel gene loci have been identified in Chinese addicts.Nevertheless, studies from China have not, as yet, fully employed the newer genetic techniques that are being used in cutting-edge research in high-income countries.

Future genetic research needs to stratify results for Chinese subjects by minority, gender, place of birth and so forth. Longitudinal studies tracking the influences of parental psychopathology and other early childhood adverse events on substance abuse and the interaction between these exposures and genetic risk factors are required. The potential value of genetic polymorphisms as biomarkers to help in the individualization of pharmacological treatments for drug addiction and in the monitoring of the effectiveness of these treatments needs to be assessed further. Subsequent studies should also assess the utility of these biomarkers for identifying individuals at high risk of substance abuse, individuals who could then become the targets for intensified prevention efforts.

The inter-individual variability of substance addiction is polygenetic; it cannot be explained by the effect of a single gene or by the effect of a small number of genes. Addiction vulnerability and development is the end product of a complex interaction between gene and environment. Thus future efforts to decrease the rapidly increasing health burden associated with substance abuse in China and elsewhere must creatively integrate genetic and behavioral findings to generate a comprehensive understanding of these disorders, which can then be translated into feasible interventions that can be rigorously tested in the real world.

Conflict of interest

The authors report no conflict of interest related to this review.

Funding

Funding for the preparation of this review was provided by the National Research Program of China (No.2009CB522007) and by the Natural Science Foundation of China (No. 91132719).

1. Le Moal M, Koob GF. Drug addiction: pathways to the disease and pathophysiological perspectives. Eur Neuropsychopharmacol 2007, 17(6-7): 377-393.

2. National Narcotics Control Commission OOTC. [Internet]Narcotics Report of China 2013. http://www.mps.gov.cn/n16/n80209/n80481/n804535/3815337.html. [Accessed 18 July 2013] (in Chinese)

3. Hyde ST. Global flows in drug treatment: heroin addiction and therapeutic community approaches in China. Asia Pac J Public Health 2010, 22(3 Suppl): 197S-202S.

4. Gardner EL. Addiction and brain reward and anti reward pathways. Adv Psychosom Med 2011, 30: 22-60.

5. Wise RA. Brain reward circuitry: insights from unsensed incentives. Neuron 2002, 36(2): 229-240.

6. Torregrossa MM, Kalivas PW. Microdialysis and the neurochemistry of addiction. Pharmacol Biochem Behav 2008, 90(2): 261-272.

7. Gilpin NW, Koob GF. Neurobiology of Alcohol Dependence:Focus on Motivational Mechanisms. Alcohol Res Health 2008,31(3): 185-195.

8. Agrawal A, Lynskey MT. Are there genetic influences on addiction: evidence from family, adoption and twin studies?Addiction 2008, 103(7): 1069-1081.

9. Uhl GR. Molecular genetic underpinnings of human substance abuse vulnerability: likely contributions to understanding addiction as a mnemonic process. Neuropharmacology 2004,47 Suppl 1: 140-147.

10. Kreek MJ, Nielsen DA, Butelman ER, LaForge KS. Genetic influences on impulsivity, risk taking, stress responsivity and vulnerability to drug abuse and addiction. Nat Neurosci 2005,8(11): 1450-1457.

11. Ducci F, Goldman D. Genetic approaches to addiction: genes and alcohol. Addiction 2008, 103(9): 1414-1428.

12. Tang YL, Zhao D, Zhao C, Cubells JF. Opiate addiction in China:current situation and treatments. Addiction 2006, 101(5):657-665.

13. Lu L, Wang X. Drug addiction in China. Ann N Y Acad Sci 2008,1141: 304-317.

14. Fang YX, Wang YB, Shi J, Liu ZM, Lu L. Recent trends in drug abuse in China. Acta Pharmacol Sin 2006, 27(2): 140-144.

15. Lu L, Fang Y, Wang X. Drug abuse in China: past, present and future. Cell Mol Neurobiol 2008, 28(4): 479-490.

16. National Institute on Drug Dependence and National Drug Abuse Surveillance Center. [Internet] Report of drug surveillance 2011. http://www.sda.gov.cn/WS01/CL0051/73928.html. [Accessed 18 July 2013] (in Chinese)

17. Hao W, Su Z, Chen H. Drinking and drinking-related problems in China. Nihon Arukoru Yakubutsu Igakkai Zasshi 2007, 42(6):595-601. (in Japanese)

18. Zhang LF, Zhao LC, Zhou BF, Yang J, Li Y, Wu YF. Alcohol consumption and incidence of ischemic stroke in male Chinese. Zhonghua Liu Xing Bing Xue Za Zhi 2004, 25(11):954-957. (in Chinese)

19. Zhang J, Casswell S, Cai H. Increased drinking in a metropolitan city in China: a study of alcohol consumption patterns and changes. Addiction 2008, 103(3): 416-423.

20. Mathers CD, Lopez AD, Murray C. The Burden of Disease and Mortality by Condition: Data, Methods, and Results for 2001:New York: Oxford University Press, 2006. 7-48.

21. Au WW, Su D, Yuan J. Cigarette smoking in China: public health, science, and policy. Rev Environ Health 2012, 27(1):43-49.

22. Zhang J, Ou JX, Bai CX. Tobacco smoking in China: prevalence,disease burden, challenges and future strategies. Respirology 2011, 16(8): 1165-1172.

23. Gorwood P, Le Strat Y, Ramoz N, Dubertret C, Moalic JM,Simonneau M. Genetics of dopamine receptors and drug addiction. Hum Genet 2012, 131(6): 803-822.

24. Missale C, Nash SR, Robinson SW, Jaber M, Caron MG.Dopamine receptors: from structure to function. Physiol Rev 1998, 78(1): 189-225.

25. Le Foll B, Gallo A, Le Strat Y, Lu L, Gorwood P. Genetics of dopamine receptors and drug addiction: a comprehensive review. Behav Pharmacol 2009, 20(1): 1-17.

26. Bouthenet ML, Souil E, Martres MP, Sokoloff P, Giros B,Schwartz JC. Localization of dopamine D3 receptor mRNA in the rat brain using in situ hybridization histochemistry:comparison with dopamine D2 receptor mRNA. Brain Res 1991, 564(2): 203-219.

27. Hou QF, Li SB. Potential association of DRD2 and DAT1 genetic variation with heroin dependence. Neurosci Lett 2009,464(2): 127-130.

28. Li Y, Shao C, Zhang D, Zhao M, Lin L, Yan P,et al. The effect of dopamine D2, D5 receptor and transporter (SLC6A3)polymorphisms on the cue-elicited heroin craving in Chinese.Am J Med Genet B Neuropsychiatr Genet 2006, 141B(3): 269-273.

29. 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(9): 1625-1634.

30. Ling D, Niu T, Feng Y, Xing H, Xu X. Association between polymorphism of the dopamine transporter gene and early smoking onset: an interaction risk on nicotine dependence. J Hum Genet 2004, 49(1): 35-39.

31. Lai JH, Zhu YS, Huo ZH, Sun RF, Yu B, Wang YP, et al. Association study of polymorphisms in the promoter region of DRD4 with schizophrenia, depression, and heroin addiction. Brain Res 2010, 1359: 227-232.

32. Li T, Xu K, Deng H, Cai G, Liu J, Liu X,et al. Association analysis of the dopamine D4 gene exon III VNTR and heroin abuse in Chinese subjects. Mol Psychiatry 1997, 2(5): 413-416.

33. Chen D, Liu F, Shang Q, Song X, Miao X, Wang Z. Association between polymorphisms of DRD2 and DRD4 and opioid dependence: evidence from the current studies. Am J Med Genet B Neuropsychiatr Genet 2011, 156B(6): 661-670.

34. Shao C, Li Y, Jiang K, Zhang D, Xu Y, Lin L,et al. Dopamine D4 receptor polymorphism modulates cue-elicited heroin craving in Chinese. Psychopharmacology (Berl) 2006, 186(2):185-190.

35. Chen J, Lipska BK, Halim N, Ma QD, Matsumoto M, Melhem S,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): 807-821.

36. Tammimaki AE, Mannisto PT. Are genetic variants of COMT associated with addiction? Pharmacogenet Genomics 2010,20(12): 717-741.

37. Li T, Yu S, Du J, Chen H, Jiang H, Xu K,et al. Role of novelty seeking personality traits as mediator of the association between COMT and onset age of drug use in Chinese heroin dependent patients. PLoS One 2011, 6(8): e22923.

38. Cao L, Li T, Liu X. Association study of heroin dependence and catechol-O-methyltransferase gene. Zhonghua Yi Xue Yi Chuan Xue Za Zhi 2003, 20(2): 127-130. (in Chinese)

39. Cao L, Li T, Xu K, Liu X. Association study of heroin-dependence and -287 A/G polymorphism of catechol-O-methyltransferase gene. Zhonghua Yi Xue Yi Chuan Xue Za Zhi 2002, 19(6): 499-501. (in Chinese)

40. Yeh YW, Lu RB, Tao PL, Shih MC, Lin WW, Huang SY. Neither single-marker nor haplotype analyses support an association between the dopamine transporter gene and heroin dependence in Han Chinese. Genes Brain Behav 2010, 9(6):638-647.

41. Li T, Du J, Yu S, Jiang H, Fu Y, Wang D,et al. Pathways to age of onset of heroin use: a structural model approach exploring the relationship of the COMT gene, impulsivity and childhood trauma. PLoS One 2012, 7(11): e48735.

42. Wang TY, Lee SY, Chen SL, Chen SH, Chu CH, Huang SY,et al.The aldehyde dehydrogenase 2 gene is associated with heroin dependence. Drug Alcohol Depend 2012, 120(1-3): 220-224.

43. Chen WJ, Chen CH, Huang J, Hsu YP, Seow SV, Chen CC,et al.Genetic polymorphisms of the promoter region of dopamine D2 receptor and dopamine transporter genes and alcoholism among four aboriginal groups and Han Chinese in Taiwan.Psychiatr Genet 2001, 11(4): 187-195.

44. Lu RB, Ko HC, Chang FM, Castiglione CM, Schoolfield G, Pakstis AJ,et al. No association between alcoholism and multiple polymorphisms at the dopamine D2 receptor gene (DRD2)in three distinct Taiwanese populations. Biol Psychiatry 1996,39(6): 419-429.

45. Lee JF, Lu RB, Ko HC, Chang FM, Yin SJ, Pakstis AJ,et al. No association between DRD2 locus and alcoholism after controlling the ADH and ALDH genotypes in Chinese Han population. Alcohol Clin Exp Res 1999, 23(4): 592-599.

46. Tsai SJ, Cheng CY, Shu LR, Yang CY, Pan CW, Liou YJ,et al. No association for D2 and D4 dopamine receptor polymorphisms and methamphetamine abuse in Chinese males. Psychiatr Genet 2002, 12(1): 29-33.

47. Liu HC, Lin SK, Liu SK, Chen SL, Hu CJ, Chang JG,et al. DAT polymorphism and diverse clinical manifestations in methamphetamine abusers. Psychiatr Genet 2004, 14(1): 33-37.

48. Sun H, Guo S, Chen D, Yang F, Zou Y, Di X,et al. Association of functional COMT Val108/Met polymorphism with smoking cessation in a nicotine replacement therapy. J Neural Transm 2012, 119(12): 1491-1498.

49. Hung CC, Chiou MH, Huang BH, Hsieh YW, Hsieh TJ, Huang CL,et al. Impact of genetic polymorphisms in ABCB1, CYP2B6,OPRM1, ANKK1 and DRD2 genes on methadone therapy in Han Chinese patients. Pharmacogenomics 2011, 12(11):1525-1533.

50. Mayer P, Hollt V. Allelic and somatic variations in the endogenous opioid system of humans. Pharmacol Ther 2001,91(3): 167-177.

51. Shippenberg TS, LeFevour A, Chefer VI. Targeting endogenous mu- and delta-opioid receptor systems for the treatment of drug addiction. CNS Neurol Disord Drug Targets 2008, 7(5):442-453.

52. Bergen AW, Kokoszka J, Peterson R, Long JC, Virkkunen M,Linnoila M,et al. Mu opioid receptor gene variants: lack of association with alcohol dependence. Mol Psychiatry 1997,2(6): 490-494.

53. Szeto CY, Tang NL, Lee DT, Stadlin A. Association between mu opioid receptor gene polymorphisms and Chinese heroin addicts. Neuroreport 2001, 12(6): 1103-1106.

54. Li T, Liu X, Zhu ZH, Zhao J, Hu X, Sham PC,et al. Association analysis of polymorphisms in the mu opioid gene and heroin abuse in Chinese subjects. Addict Biol 2000, 5(2): 181-186.

55. Xu K, Liu XH, Nagarajan S, Gu XY, Goldman D. Relationship of the delta-opioid receptor gene to heroin abuse in a large Chinese case/control sample. Am J Med Genet 2002, 110(1):45-50.

56. Zhang D, Shao C, Shao M, Yan P, Wang Y, Liu Y,et al. Effect of mu-opioid receptor gene polymorphisms on heroin-induced subjective responses in a Chinese population. Biol Psychiatry 2007, 61(11): 1244-1251.

57. Tan EC, Yeo BK, Ho BK, Tay AH, Tan CH. Evidence for an association between heroin dependence and a VNTR polymorphism at the serotonin transporter locus. Mol Psychiatry 1999, 4(3): 215-217.

58. Shi J, Hui L, Xu Y, Wang F, Huang W, Hu G. Sequence variations in the mu-opioid receptor gene (OPRM1) associated with human addiction to heroin. Hum Mutat 2002, 19(4): 459-460.

59. Bergen AW, Kokoszka J, Peterson R, Long JC, Virkkunen M,Linnoila M,et al. Mu opioid receptor gene variants: lack of association with alcohol dependence. Mol Psychiatry 1997,2(6): 490-494.

60. Deb I, Chakraborty J, Gangopadhyay PK, Choudhury SR, Das S. Single-nucleotide polymorphism (A118G) in exon 1 of OPRM1 gene causes alteration in downstream signaling by mu-opioid receptor and may contribute to the genetic risk for addiction. J Neurochem 2010, 112(2): 486-496.

61. Chen D, Liu L, Xiao Y, Peng Y, Yang C, Wang Z. Ethnic-specific meta-analyses of association between the OPRM1 A118G polymorphism and alcohol dependence among Asians and Caucasians. Drug Alcohol Depend 2012, 123(1-3): 1-6.

62. Kreek MJ, Bart G, Lilly C, LaForge KS, Nielsen DA.Pharmacogenetics and human molecular genetics of opiate and cocaine addictions and their treatments. Pharmacol Rev 2005, 57(1): 1-26.

63. Wei SG, Zhu YS, Lai JH, Xue HX, Chai ZQ, Li SB. Association between heroin dependence and prodynorphin gene polymorphisms. Brain Res Bull 2011, 85(3-4): 238-242.

64. Clarke TK, Krause K, Li T, Schumann G. An association of prodynorphin polymorphisms and opioid dependence in females in a Chinese population. Addict Biol 2009, 14(3):366-370.

65. Lopez-Moreno JA, Lopez-Jimenez A, Gorriti MA, de Fonseca FR. Functional interactions between endogenous cannabinoid and opioid systems: focus on alcohol, genetics and drug-addicted behaviors. Curr Drug Targets 2010, 11(4):406-428.

66. Lopez-Moreno JA, Echeverry-Alzate V, Buhler KM. The genetic basis of the endocannabinoid system and drug addiction in humans. J Psychopharmacol 2012, 26(1): 133-143.

67. Li T, Liu X, Zhu ZH, Zhao J, Hu X, Ball DM,et al. No association between (AAT)n repeats in the cannabinoid receptor gene(CNR1) and heroin abuse in a Chinese population. Mol Psychiatry 2000, 5(2): 128-130.

68. Pfaus JG. Pathways of sexual desire. J Sex Med 2009, 6(6):1506-1533.

69. Wirtshafter D. The control of ingestive behavior by the median raphe nucleus. Appetite 2001, 36(1): 99-105.

70. Kirby LG, Zeeb FD, Winstanley CA. Contributions of serotonin in addiction vulnerability. Neuropharmacology 2011, 61(3):421-432.

71. Edenberg HJ, Kranzler HR. The contribution of genetics to addiction therapy approaches. Pharmacol Ther 2005, 108(1):86-93.

72. Herman AI, Balogh KN. Polymorphisms of the serotonin transporter and receptor genes: susceptibility to substance abuse. Subst Abuse Rehabil 2012, 3(1): 49-57.

73. Gao F, Zhu YS, Wei SG, Li SB, Lai JH. Polymorphism G861C of 5-HT receptor subtype 1B is associated with heroin dependence in Han Chinese. Biochem Biophys Res Commun 2011, 412(3): 450-453.

74. Wang XJ, Zhong SR, Bao JJ, Dou SJ, Wu WY, Jing Q. Association of polymorphism in the serotonin transporter gene promote with the susceptibility to alcohol dependence in Yunnan Han Population. Yi Chuan 2011, 33(1): 48-53. (in Chinese)

75. Watanabe MA, Nunes SO, Amarante MK, Guembarovski RL,Oda JM, Lima KW,et al. Genetic polymorphism of serotonin transporter 5-HTTLPR: involvement in smoking behaviour. J Genet 2011, 90(1): 179-185.

76. Chu SL, Xiao D, Wang C, Jing H. Association between 5-hydroxytryptamine transporter gene-linked polymorphic region and smoking behavior in Chinese males. Chin Med J(Engl) 2009, 122(12): 1365-1368.

77. Agarwal DP, Goedde HW. Pharmacogenetics of alcohol metabolism and alcoholism. Pharmacogenetics 1992, 2(2):48-62.

78. Smith M. Genetics of human alcohol and aldehyde dehydrogenases. Adv Hum Genet 1986, 15: 249-290.

79. Whitfield JB. Alcohol dehydrogenase and alcohol dependence: variation in genotype-associated risk between populations. Am J Hum Genet 2002, 71(5): 1247-1250.

80. Bosron WF, Magnes LJ, Li TK. Kinetic and electrophoretic properties of native and recombined isoenzymes of human liver alcohol dehydrogenase. Biochemistry-Us 1983, 22(8):1852-1857.

81. Yin SJ, Bosron WF, Magnes LJ, Li TK. Human liver alcohol dehydrogenase: purification and kinetic characterization of the beta 2 beta 2, beta 2 beta 1, alpha beta 2, and beta 2 gamma 1 “Oriental” isoenzymes. Biochemistry-Us 1984,23(24): 5847-5853.

82. Luczak SE, Glatt SJ, Wall TL. Meta-analyses of ALDH2 and ADH1B with alcohol dependence in Asians. Psychol Bull 2006,132(4): 607-621.

83. 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): 49-63.

84. Chao YC, Wang MF, Tang HS, Hsu CT, Yin SJ. Genotyping of alcohol dehydrogenase at the ADH2 and ADH3 loci by using a polymerase chain reaction and restriction-fragment-length polymorphism in Chinese alcoholic cirrhotics and nonalcoholics. Proc Natl Sci Counc Repub China B 1994, 18(3):101-106.

85. Yoshida A, Hsu LC, Yasunami M. Genetics of human alcoholmetabolizing enzymes. Prog Nucleic Acid Res Mol Biol 1991,40: 255-287.

86. Yao CT, Cheng CA, Wang HK, Chiu SW, Chen YC, Wang MF,et al. The role of ALDH2 and ADH1B polymorphism in alcohol consumption and stroke in Han Chinese. Hum Genomics 2011, 5(6): 569-576.

87. Thomasson HR, Edenberg HJ, Crabb DW, Mai XL, Jerome RE,Li TK,et al. Alcohol and aldehyde dehydrogenase genotypes and alcoholism in Chinese men. Am J Hum Genet 1991, 48(4):677-681.

88. Lu RB, Ko HC, Lee JF, Lin WW, Huang SY, Wang TJ,et al. No alcoholism-protection effects of ADH1B*2 allele in antisocial alcoholics among Han Chinese in Taiwan. Alcohol Clin Exp Res 2005, 29(12): 2101-2107.

89. Shen YC, Fan JH, Edenberg HJ, Li TK, Cui YH, Wang YF,et al.Polymorphism of ADH and ALDH genes among four ethnic groups in China and effects upon the risk for alcoholism.Alcohol Clin Exp Res 1997, 21(7): 1272-1277.

90. Enoch MA. Genetic and environmental influences on the development of alcoholism: resilience vs. risk. Ann N Y Acad Sci 2006, 1094: 193-201.

91. Huang SY, Lin WW, Ko HC, Lee JF, Wang TJ, Chou YH,et al.Possible interaction of alcohol dehydrogenase and aldehyde dehydrogenase genes with the dopamine D2 receptor gene in anxiety-depressive alcohol dependence. Alcohol Clin Exp Res 2004, 28(3): 374-384.

92. Guo WJ, Wang Q, Lanzi G, Luobu O, Ma XH, Wang YC,et al.Gender-specific interactions between alcohol metabolism genes and severity of quantitative alcohol-related-traits in a Tibetan population. Neurosci Lett 2011, 495(1): 22-25.

93. Guo W, Wang Q, Lanzi G, Luobu O, Ma X, Wang Y,et al.Interaction among genes influencing ethanol metabolism and sex is association with alcohol use disorders in a Tibet population. Am J Med Genet B Neuropsychiatr Genet 2010,153B(2): 561-569.

94. Chen CC, Lu RB, Chen YC, Wang MF, Chang YC, Li TK,et al.Interaction between the functional polymorphisms of the alcohol-metabolism genes in protection against alcoholism.Am J Hum Genet 1999, 65(3): 795-807.

95. Cesura AM, Pletscher A. The new generation of monoamine oxidase inhibitors. Prog Drug Res 1992, 38: 171-297.

96. Fowler JS, MacGregor RR, Wolf AP, Arnett CD, Dewey SL,Schlyer D,et al. Mapping human brain monoamine oxidase A and B with 11C-labeled suicide inactivators and PET. Science 1987, 235(4787): 481-485.

97. Thorpe LW, Westlund KN, Kochersperger LM, Abell CW,Denney RM. Immunocytochemical localization of monoamine oxidases A and B in human peripheral tissues and brain. J Histochem Cytochem 1987, 35(1): 23-32.

98. Saura J, Bleuel Z, Ulrich J, Mendelowitsch A, Chen K, Shih JC,et al. Molecular neuroanatomy of human monoamine oxidases A and B revealed by quantitative enzyme radioautography and in situ hybridization histochemistry. Neuroscience 1996,70(3): 755-774.

99. Vitalis T, Fouquet C, Alvarez C, Seif I, Price D, Gaspar P,et al.Developmental expression of monoamine oxidases A and B in the central and peripheral nervous systems of the mouse.J Comp Neurol 2002, 442(4): 331-347.

100. Hotamisligil GS, Breakefield XO. Human monoamine oxidase A gene determines levels of enzyme activity. Am J Hum Genet 1991, 49(2): 383-392.

101. Kirov G, Norton N, Jones I, McCandless F, Craddock N,Owen MJ. A functional polymorphism in the promoter of monoamine oxidase A gene and bipolar affective disorder. Int J Neuropsychopharmacol 1999, 2(4): 293-298.

102. Cases O, Seif I, Grimsby J, Gaspar P, Chen K, Pournin S,et al.Aggressive behavior and altered amounts of brain serotonin and norepinephrine in mice lacking MAOA. Science 1995,268(5218): 1763-1766.

103. Shih JC, Ridd MJ, Chen K, Meehan WP, Kung MP, Seif I,et al.Ketanserin and tetrabenazine abolish aggression in mice lacking monoamine oxidase A. Brain Res 1999, 835(2): 104-112.

104. Vanyukov MM, Maher BS, Devlin B, Tarter RE, Kirillova GP,Yu LM,et al. Haplotypes of the monoamine oxidase genes and the risk for substance use disorders. Am J Med Genet B Neuropsychiatr Genet 2004, 125B(1): 120-125.

105. Vanyukov MM, Maher BS, Devlin B, Kirillova GP, Kirisci L, Yu LM,et al. The MAOA promoter polymorphism, disruptive behavior disorders, and early onset substance use disorder:gene-environment interaction. Psychiatr Genet 2007, 17(6):323-332.

106. Hsu YP, Loh EW, Chen WJ, Chen CC, Yu JM, Cheng AT.Association of monoamine oxidase A alleles with alcoholism among male Chinese in Taiwan. Am J Psychiatry 1996, 153(9):1209-1211.

107. Rooke N, Li DJ, Li J, Keung WM. The mitochondrial monoamine oxidase-aldehyde dehydrogenase pathway: a potential site of action of daidzin. J Med Chem 2000, 43(22): 4169-4179.

108. Lee SY, Hahn CY, Lee JF, Chen SL, Chen SH, Yeh TL,et al. MAOA-uVNTR polymorphism may modify the protective effect of ALDH2 gene against alcohol dependence in antisocial personality disorder. Alcohol Clin Exp Res 2009, 33(6): 985-990.

109. Lee SY, Hahn CY, Lee JF, Huang SY, Chen SL, Kuo PH,et al.MAOA interacts with the ALDH2 gene in anxiety-depression alcohol dependence. Alcohol Clin Exp Res 2010, 34(7): 1212-1218.

110. Jin Y, Chen D, Hu Y, Guo S, Sun H, Lu A,et al. Association between monoamine oxidase gene polymorphisms and smoking behaviour in Chinese males. Int J Neuropsychopharmacol 2006, 9(5): 557-564.

111. Chien CC, Lin CH, Chang YY, Lung FW. Association of VNTR polymorphisms in the MAOA promoter and DRD4 exon 3 with heroin dependence in male Chinese addicts. World J Biol Psychiatry 2010, 11(2 Pt 2): 409-416.

112. Howard LA, Sellers EM, Tyndale RF. The role of pharmacogenetically-variable cytochrome P450 enzymes in drug abuse and dependence. Pharmacogenomics 2002, 3(2):185-199.

113. Sellers EM, Otton SV, Tyndale RF. The potential role of the cytochrome P-450 2D6 pharmacogenetic polymorphism in drug abuse. NIDA Res Monogr 1997, 173: 6-26.

114. Nakajima M, Yamamoto T, Nunoya K, Yokoi T, Nagashima K, Inoue K,et al. Role of human cytochrome P4502A6 in C-oxidation of nicotine. Drug Metab Dispos 1996, 24(11):1212-1217.

115. Malaiyandi V, Sellers EM, Tyndale RF. Implications of CYP2A6 genetic variation for smoking behaviors and nicotine dependence. Clin Pharmacol Ther 2005, 77(3): 145-158.

116. Liu T, David SP, Tyndale RF, Wang H, Zhou Q, Ding P,et al.Associations of CYP2A6 genotype with smoking behaviors in southern China. Addiction 2011, 106(5): 985-994.

117. Tang X, Guo S, Sun H, Song X, Jiang Z, Sheng L,et al. Genegene interactions of CYP2A6 and MAOA polymorphisms on smoking behavior in Chinese male population.Pharmacogenet Genomics 2009, 19(5): 345-352.

118. Zhou L, Lu BX, Yin J. Association of cytochrome P4502D6 gene polymorphism with the susceptibility of heroin spongiform leucoencephalopathy. Nan Fang Yi Ke Da Xue Xue Bao 2010,30(3): 572-574, 583. (in Chinese)

119. Chen CH, Wang SC, Tsou HH, Ho IK, Tian JN, Yu CJ,et al. Genetic polymorphisms in CYP3A4 are associated with withdrawal symptoms and adverse reactions in methadone maintenance patients. Pharmacogenomics 2011, 12(10): 1397-1406.

120. Davis WM, Smith SG. Catecholaminergic mechanisms of reinforcement: direct assessment by drug-self-administration.Life Sci 1977, 20(3): 483-492.

121. Weinshenker D, Schroeder JP. There and back again: a tale of norepinephrine and drug addiction. Neuropsychopharmacol 2007, 32(7): 1433-1451.

122. Wang X, Cen X, Lu L. Noradrenaline in the bed nucleus of the stria terminalis is critical for stress-induced reactivation of morphine-conditioned place preference in rats. Eur J Pharmacol 2001, 432(2-3): 153-161.

123. Banna KM, Back SE, Do P, See RE. Yohimbine stress potentiates conditioned cue-induced reinstatement of heroin-seeking in rats. Behav Brain Res 2010, 208(1): 144-148.

124. Bohn LM, Xu F, Gainetdinov RR, Caron MG. Potentiated opioid analgesia in norepinephrine transporter knock-out mice. J Neurosci 2000, 20(24): 9040-9045.

125. Kim H, Lee H, Rowan J, Brahim J, Dionne RA. Genetic polymorphisms in monoamine neurotransmitter systems show only weak association with acute post-surgical pain in humans. Mol Pain 2006, 2: 24.

126. Yeh YW, Lu RB, Tao PL, Shih MC, Huang SY. A possible association of the norepinephrine transporter gene in the development of heroin dependence in Han Chinese.Pharmacogenet Genomics 2011, 21(4): 197-205.

127. Weinshenker D, Rust NC, Miller NS, Palmiter RD. Ethanolassociated behaviors of mice lacking norepinephrine. J Neurosci 2000, 20(9): 3157-3164.

128. Weinshenker D, White SS, Javors MA, Palmiter RD, Szot P.Regulation of norepinephrine transporter abundance by catecholamines and desipramine in vivo. Brain Res 2002,946(2): 239-246.

129. Netter P, Vogel WH. The effect of drinking habit on catecholamine and behavioral responses to stress and ethanol. Neuropsychobiology 1990, 24(3): 149-158.

130. Huang SY, Lu RB, Ma KH, Shy MJ, Lin WW. Norepinephrine transporter polymorphisms T-182C and G1287A are not associated with alcohol dependence and its clinical subgroups. Drug Alcohol Depend 2008, 92(1-3): 20-26.

131. Gass JT, Olive MF. Glutamatergic substrates of drug addiction and alcoholism. Biochem Pharmacol 2008, 75(1): 218-265.

132. Kalivas PW, O’Brien C. Drug addiction as a pathology of staged neuroplasticity. Neuropsychopharmacol 2008, 33(1):166-180.

133. de Azeredo LA, Marquardt AR, Frazzon AP, Barros HM.Cocaine reverses the changes in GABAA subunits and in glutamic acid decarboxylase isoenzymes mRNA expression induced by neonatal 6-hydroxydopamine. Behav Pharmacol 2010, 21(4): 343-352.

134. Levran O, Londono D, O’Hara K, Randesi M, Rotrosen J,Casadonte P, et al. Heroin addiction in African Americans:a hypothesis-driven association study. Genes Brain Behav 2009, 8(5): 531-540.

135. Wu W, Zhu YS, Li SB. Polymorphisms in the glutamate decarboxylase 1 gene associated with heroin dependence.Biochem Biophys Res Commun 2012, 422(1): 91-96.

136. Johnson SW, North RA. Opioids excite dopamine neurons by hyperpolarization of local interneurons. J Neurosci 1992,12(2): 483-488.

137. Rix KJ, Davidson N. gamma-aminobutyric acid in alcohol,barbiturate and morphine dependence: a review. Br J Addict Alcohol Other Drugs 1977, 72(2): 109-115.

138. Yu S, Ho IK. Effects of acute barbiturate administration,tolerance and dependence on brain GABA system:comparison to alcohol and benzodiazepines. Alcohol 1990,7(3): 261-272.

139. Lin SK, Chen CK, Ball D, Liu HC, Loh EW. Gender-specific contribution of the GABA (A) subunit genes on 5q33 in methamphetamine use disorder. Pharmacogenomics J 2003,3(6): 349-355.

140. Loh EW, Tang NL, Lee DT, Liu SI, Stadlin A. Association analysis of GABA receptor subunit genes on 5q33 with heroin dependence in a Chinese male population. Am J Med Genet B Neuropsychiatr Genet 2007, 144B(4): 439-443.

141. Reppert SM, Weaver DR. Molecular analysis of mammalian circadian rhythms. Annu Rev Physiol 2001, 63: 647-676.

142. Morgan PT, Pace-Schott EF, Sahul ZH, Coric V, Stickgold R,Malison RT. Sleep, sleep-dependent procedural learning and vigilance in chronic cocaine users: evidence for occult insomnia. Drug Alcohol Depend 2006, 82(3): 238-249.

143. Irwin MR, Olmos L, Wang M, Valladares EM, Motivala SJ,Fong T,et al. Cocaine dependence and acute cocaine induce decreases of monocyte proinflammatory cytokine expression across the diurnal period: autonomic mechanisms. J Pharmacol Exp Ther 2007, 320(2): 507-515.

144. Abarca C, Albrecht U, Spanagel R. Cocaine sensitization and reward are under the influence of circadian genes and rhythm. Proc Natl Acad Sci U S A 2002, 99(13): 9026-9030.

145. Hirsh J. Time flies like an arrow. Fruit flies like crack?Pharmacogenomics J 2001, 1(2): 97-100.

146. Wang YQ, Zhou W, Liu YY, Liu YH, Peng T, Wang ZR. The role of circadian gene period1 in morphine reward in mice. Space Med Med Eng (Beijing) 2004, 17(5): 383-385. (in Chinese)

147. Liu Y, Wang Y, Wan C, Zhou W, Peng T, Liu Y,et al. The role of mPer1 in morphine dependence in mice. Neuroscience 2005,130(2): 383-388.

148. Zou Y, Liao G, Liu Y, Wang Y, Yang Z, Lin Y,et al. Association of the 54-nucleotide repeat polymorphism of hPer3 with heroin dependence in Han Chinese population. Genes Brain Behav 2008, 7(1): 26-30.

149. McGinty JF, Whitfield TJ, Berglind WJ. Brain-derived neurotrophic factor and cocaine addiction. Brain Res 2010,1314: 183-193.

150. Pierce RC, Bari AA. The role of neurotrophic factors in psychostimulant-induced behavioral and neuronal plasticity.Rev Neurosci 2001, 12(2): 95-110.

151. Russo SJ, Mazei-Robison MS, Ables JL, Nestler EJ.Neurotrophic factors and structural plasticity in addiction.Neuropharmacology 2009, 56 Suppl 1: 73-82.

152. McGough NN, He DY, Logrip ML, Jeanblanc J, Phamluong K,Luong K,et al. RACK1 and brain-derived neurotrophic factor:a homeostatic pathway that regulates alcohol addiction. J Neurosci 2004, 24(46): 10542-10552.

153. Le Foll B, Diaz J, Sokoloff P. A single cocaine exposure increases BDNF and D3 receptor expression: implications for drug-conditioning. Neuroreport 2005, 16(2): 175-178.

154. Kerns RT, Ravindranathan A, Hassan S, Cage MP, York T,Sikela JM,et al. Ethanol-responsive brain region expression networks: implications for behavioral responses to acute ethanol in DBA/2J versus C57BL/6J mice. J Neurosci 2005,25(9): 2255-2266.

155. Itoh K, Hashimoto K, Shimizu E, Sekine Y, Ozaki N, Inada T,et al. Association study between brain-derived neurotrophic factor gene polymorphisms and methamphetamine abusers in Japan. Am J Med Genet B Neuropsychiatr Genet 2005,132B(1): 70-73.

156. Matsushita S, Kimura M, Miyakawa T, Yoshino A, Murayama M, Masaki T,et al. Association study of brain-derived neurotrophic factor gene polymorphism and alcoholism.Alcohol Clin Exp Res 2004, 28(11): 1609-1612.

157. de Cid R, Fonseca F, Gratacos M, Gutierrez F, Martin-Santos R,Estivill X,et al. BDNF variability in opioid addicts and response to methadone treatment: preliminary findings. Genes Brain Behav 2008, 7(5): 515-522.

158. Jia W, Shi JG, Wu B, Ao L, Zhang R, Zhu YS. Polymorphisms of brain-derived neurotrophic factor associated with heroin dependence. Neurosci Lett 2011, 495(3): 221-224.

159. Gratacos M, Gonzalez JR, Mercader JM, de Cid R, Urretavizcaya M, Estivill X. Brain-derived neurotrophic factor Val66Met and psychiatric disorders: meta-analysis of case-control studies conf i rm association to substance-related disorders, eating disorders, and schizophrenia. Biol Psychiatry 2007, 61(7):911-922.

160. Meng C, Lan J, Wang Y, Song M, Gao X, Ran L,et al. Influence of brain-derived neurotrophic factor genetic polymorphisms on the ages of onset for heroin dependence in a Chinese population. Genet Test Mol Biomarkers 2012, 16(9): 1044-1050.

161. Hou H, Qing Z, Jia S, Zhang X, Hu S, Hu J. Influence of brain-derived neurotrophic factor (val66met) genetic polymorphism on the ages of onset for heroin abuse in males. Brain Res 2010, 1353: 245-248.

162. Su N, Zhang L, Fei F, Hu H, Wang K, Hui H,et al. The brainderived neurotrophic factor is associated with alcohol dependence-related depression and antidepressant response. Brain Res 2011, 1415: 119-126.

163. Xie X, Xu L, Liu H, Chen W, Zhuang D, Zhang J,et al. Positive association between -1021TT genotype of dopamine beta hydroxylase gene and progressive behavior of injection heroin users. Neurosci Lett 2013, 541: 258-262.

164. Pei YF, Zhang L, Yang TL, Han Y, Hai R, Ran S,et al. Genomewide association study of copy number variants suggests LTBP1 and FGD4 are important for alcohol drinking. PLoS One 2012, 7(1): e30860.

165. Wei YM, Du YL, Nie YQ, Li YY, Wan YJ. Nur-related receptor 1 gene polymorphisms and alcohol dependence in Mexican Americans. World J Gastroenterol 2012, 18(37): 5276-5282.

166. Wei J, Chu C, Wang Y, Yang Y, Wang Q, Li T,et al. Association study of 45 candidate genes in nicotine dependence in Han Chinese. Addict Behav 2012, 37(5): 622-626.

167. Schlaepfer IR, Hoft NR, Ehringer MA. The genetic components of alcohol and nicotine co-addiction: from genes to behavior.Curr Drug Abuse Rev 2008, 1(2): 124-134.

168. Gupta S, Bousman CA, Chana G, Cherner M, Heaton RK,Deutsch R,et al. Dopamine receptor D3 genetic polymorphism(rs6280TC) is associated with rates of cognitive impairment in methamphetamine-dependent men with HIV: preliminary findings. J Neurovirol 2011, 17(3): 239-247.

169. Alia-Klein N, Parvaz MA, Woicik PA, Konova AB, Maloney T,Shumay E, et al. Gene x disease interaction on orbitofrontal gray matter in cocaine addiction. Arch Gen Psychiatry 2011,68(3): 283-294.

170. Ramchandani VA, Umhau J, Pavon FJ, Ruiz-Velasco V,Margas W, Sun H, et al. A genetic determinant of the striatal dopamine response to alcohol in men. Mol Psychiatry 2011,16(8): 809-817.

171. Pietrzik CU, Yoon IS, Jaeger S, Busse T, Weggen S, Koo EH.FE65 constitutes the functional link between the lowdensity lipoprotein receptor-related protein and the amyloid precursor protein. J Neurosci 2004, 24(17): 4259-4265.

172. Sabo SL, Lanier LM, Ikin AF, Khorkova O, Sahasrabudhe S,Greengard P, et al. Regulation of beta-amyloid secretion by FE65, an amyloid protein precursor-binding protein. J Biol Chem 1999, 274(12): 7952-7957.

173. Chen GB, Payne TJ, Lou XY, Ma JZ, Zhu J, Li MD. Association of amyloid precursor protein-binding protein, family B, member 1 with nicotine dependence in African and European American smokers. Hum Genet 2008, 124(4): 393-398.

174. Birrenbach T, Bocker U. Inflammatory bowel disease and smoking: a review of epidemiology, pathophysiology, and therapeutic implications. Inf l amm Bowel Dis 2004, 10(6):848-859.

175. Sacco KA, Bannon KL, George TP. Nicotinic receptor mechanisms and cognition in normal states and neuropsychiatric disorders. J Psychopharmacol 2004, 18(4):457-474.

176. McCoy CB, McCoy HV, Lai S, Yu Z, Wang X, Meng J.Reawakening the dragon: changing patterns of opiate use in Asia, with particular emphasis on China’s Yunnan province.Subst Use Misuse 2001, 36(1-2): 49-69.

177. Mathei C, Buntinx F, van Damme P. Seroprevalence of hepatitis C markers among intravenous drug users in western European countries: a systematic review. J Viral Hepat 2002,9(3): 157-173.

178. Peng JS, Wang X, Liu MQ, Zhou DJ, Gong J, Xu HM,et al.Genetic variation of hepatitis C virus in a cohort of injection heroin users in Wuhan, China. Virus Res 2008, 135(1): 191-196.

179. Franken IH. Drug craving and addiction: integrating psychological and neuropsychopharmacological approaches.Prog Neuropsychopharmacol Biol Psychiatry 2003, 27(4):563-579.

180. Koopmans JR, van Doornen LJ, Boomsma DI. Association between alcohol use and smoking in adolescent and young adult twins: a bivariate genetic analysis. Alcohol Clin Exp Res 1997, 21(3): 537-546.

181. Zhang T, Gao W, Cao W, Zhan S, Lv J, Pang Z,et al. The genetic correlation between cigarette smoking and alcohol drinking among Chinese adult male twins: an ordinal bivariate genetic analysis. Twin Res Hum Genet 2012, 15(4): 483-490.

182. Collins FS, Green ED, Guttmacher AE, Guyer MS. A vision for the future of genomics research. Nature 2003, 422(6934):835-847.

183. Zeggini E, Weedon MN, Lindgren CM, Frayling TM, Elliott KS,Lango H,et al. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science 2007, 316(5829): 1336-1341.

184. Liu QR, Drgon T, Johnson C, Walther D, Hess J, Uhl GR.Addiction molecular genetics: 639,401 SNP whole genome association identif i es many “cell adhesion” genes. Am J Med Genet B Neuropsychiatr Genet 2006, 141B(8): 918-925.

185. Johnson C, Drgon T, Liu QR, Walther D, Edenberg H, Rice J,et al. Pooled association genome scanning for alcohol dependence using 104,268 SNPs: validation and use to identify alcoholism vulnerability loci in unrelated individuals from the collaborative study on the genetics of alcoholism.Am J Med Genet B Neuropsychiatr Genet 2006, 141B(8): 844-853.

186. Treutlein J, Rietschel M. Genome-wide association studies of alcohol dependence and substance use disorders. Curr Psychiatry Rep 2011, 13(2): 147-155.

187. Chen XD, Xiong DH, Yang TL, Pei YF, Guo YF, Li J,et al. ANKRD7 and CYTL1 are novel risk genes for alcohol drinking behavior.Chin Med J (Engl) 2012, 125(6): 1127-1134.

188. Li MD, Payne TJ, Ma JZ, Lou XY, Zhang D, Dupont RT,et al. A genome-wide search finds major susceptibility loci for nicotine dependence on chromosome 10 in African Americans. Am J Hum Genet 2006, 79(4): 745-751.

189. Mohammed AH. Genetic dissection of nicotine-related behaviour: a review of animal studies. Behav Brain Res 2000,113(1-2): 35-41.

190. Fowler CD, Arends MA, Kenny PJ. Subtypes of nicotinic acetylcholine receptors in nicotine reward, dependence, and withdrawal: evidence from genetically modified mice. Behav Pharmacol 2008, 19(5-6): 461-484.

191. Li T, Hou Y, Cao W, Yan CX, Chen T, Li SB. Role of dopamine D3 receptors in basal nociception regulation and in morphineinduced tolerance and withdrawal. Brain Res 2012, 1433:80-84.

192. Kryger R, Wilce PA. The effects of alcoholism on the human basolateral amygdala. Neuroscience 2010, 167(2): 361-371.

193. Ambros V. The functions of animal microRNAs. Nature 2004,431(7006): 350-355.

194. Huang W, Li MD. Differential allelic expression of dopamine D1 receptor gene (DRD1) is modulated by microRNA miR-504. Biol Psychiatry 2009, 65(8): 702-705.

195. Hollander JA, Im HI, Amelio AL, Kocerha J, Bali P, Lu Q,et al. Striatal microRNA controls cocaine intake through CREB signalling. Nature 2010, 466(7303): 197-202.

196. Wu Q, Zhang L, Law PY, Wei LN, Loh HH. Long-term morphine treatment decreases the association of mu-opioid receptor(MOR1) mRNA with polysomes through miRNA23b. Mol Pharmacol 2009, 75(4): 744-750.

197. Guo Y, Chen Y, Carreon S, Qiang M. Chronic intermittent ethanol exposure and its removal induce a different miRNA expression pattern in primary cortical neuronal cultures.Alcohol Clin Exp Res 2012, 36(6): 1058-1066.

198. Nakajima M, Fukami T, Yamanaka H, Higashi E, Sakai H,Yoshida R,et al. Comprehensive evaluation of variability in nicotine metabolism and CYP2A6 polymorphic alleles in four ethnic populations. Clin Pharmacol Ther 2006, 80(3): 282-297.

199. Sanchez-Johnsen L, Ahluwalia JS, Fitzgibbon M, Spring BJ.Ethnic similarities and differences in reasons for smoking.Addict Behav 2006, 31(3): 544-548.

The importance of genetic factors in substance addiction has long been established. The rationale for this work is that understanding of the function of addiction genes and delineation of the key molecular pathways of these genes would enhance the development of novel therapeutic targets and biomarkers that could be used in the prevention and management of substance abuse. Over the past few years, there has been a substantial increase in the number of genetic studies conducted on addiction in China; these studies have primarily focused on heroin, alcohol, and nicotine dependence. Most studies of candidate genes have concentrated on the dopamine, opioid, and serotonin systems. A number of genes associated with substance abuse in Caucasians are also risk factors in Chinese, but several novel genes and genetic risk factors associated with substance abuse in Chinese subjects have also been identified. This paper reviews the genetic studies of substance abuse performed by Chinese researchers. Genotypes and alleles related to addictive behavior in Chinese individuals are discussed and the contributions of Chinese researchers to the international corpus of knowledge about the genetic understanding of substance abuse are described.

10.3969/j.issn.1002-0829.2013.04.002

1National Institute on Drug Dependence, Peking University, Beijing, China

2Institute of Mental Health, Peking University, Beijing, China

*correspondence: shijie@bjmu.edu.cn (Jie SHI), linlu@bjmu.edu.cn (Lin LU)

Yan Sun graduated with a Bachelor of Medicine from Anhui Medical University in 2009 and then completed a Master’s degree from the Health Science Center of Peking University in 2012. She is currently a Ph.D. candidate student in the National Institute on Drug Dependence at Peking University. Her major research interest is the application of genetic and neuroimaging studies in addiction disorders.

猜你喜欢

分组整体成员
主编及编委会成员简介
主编及编委会成员简介
主编及编委会成员简介
主编及编委会成员简介
歌曲写作的整体构思及创新路径分析
关注整体化繁为简
分组搭配
怎么分组
设而不求整体代换
分组