Genetics of Addiction Wade Berrettini, MD, PhD Karl E. Rickels Professor of Psychiatry Center for Neurobiology and Behavior, University of Pennsylvania Philadelphia, Pennsylvania, USA wadeb@mail.med.upenn.edu; 215-8980092 Anais Nin: “He does not need opium. He has the gift of reverie.” Tallulah Bankhead: “Cocaine isn’t habit-forming. I should know---I’ve been using it for years.” George Carlin: “Just because you got the monkey off your back doesn’t mean the circus has left town.” 101st Anniversary of Origin of Species We celebrate the 101st anniversary of the publication of Darwin’s Origin of Species, which first appeared in print (1909) only after his death. Among other subjects, Darwin investigated the evolutionary adaptation of beak length among finches. But today our subject is the genetics of addiction. It is unclear whether Darwin completely understood the advantages of a longer beak among finches… Courtesy of Nils D’Aulaire OUTLINE Epidemiology of addictions Genetics and Genome-wide Association Study (GWAS) Molecular study of nicotine addiction (NA) Molecular study of alcohol addiction (AA) A View from Inside the Addicted Brain “My coke (sic) use hasn’t harmed me all that much, other than my brain going out the window, and I’m unproductive.” Of 100 pack-a-day smokers admitted to hospital for myocardial infarction, 50% had returned to their former smoking practices within 3 weeks after discharge. Public Health Perspectives If current trends continue, the annual number of deaths (world-wide) from tobacco-related diseases will double from 5 million in the year 2000 to 10 million in 2020 (WHO, http://www.who.int/whosis). 13% of US adults are nicotine addicted, smoking a pack or more daily. Smoking is the largest preventable cause of morbidity and mortality in the US, with obesity being the second largest. Public Health Perspectives Alcohol addiction (AA) is an adolescent-onset disease, with peak age-at-onset in the 3rd decade of life. In the US, ~ 8% of adults have AA. Men are at somewhat higher risk than women for AA. ~ 80% of AA individuals are also nicotine addicted (NA). Drug addiction* is > 3 of These 1. Tolerance (e.g., the need to take more drug to achieve the desired effect) 2. Withdrawal: Daily use for at least several weeks; for nicotine, following abrupt cessation, four or more of the following signs: • • • • • • • • (A) dysphoric or depressed mood (B) insomnia (C) irritability, difficulty managing anger (D) anxiety (E) difficulty in concentration (F) restlessness (G) decreased heart rate (H) increased appetite or weight gain 3. Repeated unsuccessful attempts to quit or reduce using 4. Continued drug use despite medical or psychological harm 5. Drug use is often greater than intended or longer than intended. 6. Reduction or elimination of social, recreational or occupational activities because of drug use 7. Much time is spent obtaining and using the drug, & recovering from use. For nicotine addiction (NA) #6 & #7 are not very relevant. Thus, DSM criteria for drug addiction are not ideal for NA. *From the Diagnostic and Statistical Manual of Mental Disorders, 4th edition, 1994 Two Questions to Diagnose Nicotine Addiction How many cigarettes per day did you smoke when your smoking was at its worst? Answer: > 15 During that time, how soon after arising did you have your first cigarette of the day? Answer: within 30 minutes GENES FOR POLYDRUG ADDICTION Polydrug addiction is the rule: 1. ~25% of cocaine dependent persons are alcohol addicted (AA); 2. ~ 80% of AA persons are NA. 3. ~ 30% of opioid addicted persons are AA Thus, it is reasonable to theorize that some alleles predispose to drug addiction without regard to the pharmacologic class of drug (eg, stimulant or opioid). These alleles might influence a common brain reward pathway activated by drugs of abuse. But,… Opioid Addiction Aggregates in Families Merikangas (Arch Gen Psych 55: 973, 1998) studied 87 opioid addict (OA) probands & 332 1o relatives 10% of OA proband 1o relatives had OA, a significant increase compared to 1o relatives of cocaine addicted probands, AA probands or control probands (p<0.001), suggesting specificity in familial aggregation of the predominant drug Separated at birth, the Mallifert twins meet accidentally Opioid Addiction (OA) in Twins Tsuang et al (AGP 55:967, 1998) used the Vietnam Era Twin Registry, 3372 twin pairs 54% of the variance in risk for (OA) was genetic ~70% of genetic variance in OA risk was specific to opioids, suggesting that most of the genetic risk for OA is due to variation in endogenous opioid system genes GENES FOR SPECIFIC DRUG ADDICTION Given that opioid addiction aggregates in families, it is expected that some alleles predispose to drug addiction which is specific to a pharmacologic class of drug. (eg, alleles in genes which code for proteins involved in a mechanism of action of the drugs (eg, an opioid receptor gene allele as a risk factor for opioid addiction). It is expected that some risk alleles will decrease aversive effects of a drug, while other risk alleles will increase the rewarding effects. Hall et al, Tob Control 11:119, 2002 NICOTINE Nicotine (an alkaloid) is an agonist at nicotinic cholingeric receptors. It is the only compound in tobacco which mammals will self-administer. An average cigarette may contain ~ 10 mg of nicotine, which is rapidly absorbed through lung membranes into the blood, as smoke is inhaled. 10-20 seconds are required from inhalation of tobacco smoke for nicotine to reach the brain. After brief nicotine exposure, receptors assume a desensitized state. The T1/2 of nicotine is ~1.5 hours, with metabolism primarily in liver, through CYP2A6 and other pathways. NEURONAL NICOTINIC RECEPTORS Neuronal nicotinic receptors (NachRs) are heterogeneous pentomeric cell membrane receptors which act as ligand-gated ion channels, mediating conductance of calcium and sodium. They are found both on cell bodies and dendrites of CNS neurons, where they increase release of multiple neurotransmitters, including dopamine and 5HT. NachRs are diverse, composed of pentamers, alpha 2 through alpha 9 and beta 2 through beta 4 subunits. Nicotine activates NachRs, opening the ion channel, but, after brief exposure to nicotine, NachRs can assume a desensitized state, with the channel closed. The endogenous neurotransmitter is acetylcholine. Prominent Neuronal NachR Subtypes Alpha 5 subunits cannot form functioning receptors alone or in combination with only one other Subunit type. Alpha 5 subunits do not participate in forming the acetylcholine binding site. courtesy of Jon Linstrom, PhD 19 Dopamine neurons, with cell bodies in the VTA project to the n. Acc. & the medial prefrontal cortex. (n. Acc) (ventral tegmental area) Activation of these neurons is a key brain signal of reward. A MAJOR CNS REWARD SYSTEM NachRs Influence Transmitter Release NachR dopamine molecules NachRs modulate neurotransmitter release via pre-synaptic receptors. Nicotine’s ability to modulate release of dopamine may be key to its addictive quality. dopamine receptors Post-synaptic NachRs modulate the response of the post-synaptic neuron. Nicotine Patch Efficacy * For someone smoking > 20 cigarettes per day, start with the 21 mg patch. After ~2 weeks, reduce to 14 mg patch, after ~2 weeks, reduce to 7 mg. Few data exist to guide the duration of therapy. *Note the poor overall success rate. Bupropion for Smoking Cessation 300mg used for 9weeks Mechanism may involve blockade of DA/NE reuptake ~ 30% of participants abstinent after a 9 week trial! Does not alleviate nicotine withdrawal symptoms. May be combined with nicotine replacement therapy Effectiveness of Bupropion (vs. Placebo) No. of studies 21 No. of participants 7171 Odds Ratio (95% CI) 1.99 [1.73, 2.30] Fiore et al., 2000; Hughes et al., 2005 Varenicline a4b2 nicotinic receptor partial agonist Eliminates reward from smoking and craving and withdrawal AEs are comparable to placebo (nausea is biggest Onckene et al., 2005 concern) 60 48 50 37.3 40 4-week Continuous 30 Abstinence 20 % 33 28.6 17.1 10 0 Placebo Bupropion 0.3mg Once/day 1mg Once/day 1mg Twice/day OUTLINE Epidemiology of addictions Genetics and Genome-wide Association Study (GWAS) Molecular study of nicotine addiction (NA) Molecular study of alcohol addiction (AA) The Human Genome The 4 DNA bases (A, G, C, T, shown in light green, dark green, orange, purple),are arranged in pairs as a linear sequence along two sugar backbones. G pairs with C and A with T. 3 billion bases comprise the human genome. Variation in the linear sequence of bases makes each of us unique. As usual, the problem begins in the gonads (no surprise here). DNA is inherited in huge chunks, millions of bases long, through recombination, which occurs during meiosis in germ cells MEIOSIS STARTS IN A DEVELOPING SPERM OR EGG CELL Locus 1 *Locus 2 Mat Pat + * + + * * 4 recombined chromosomes in 4 new eggs or sperm cells Single Nucleotide Polymorphisms (SNPs) The most common variation in DNA is the SNP. An example of a SNP is shown below. At a hypothetical point in the human genome (the fifth base pair in the sequence), humans can have either a T:A base pair or a C:G base pair . ALLELE 1 ALLELE 2 CGATTGCACC CGATCGCACC GCTAACGTGG GCTAGCGTGG SNPs are the variants which increase risk for common diseases. A common SNP occurs every 1000 base pairs across the 3 billion bases of DNA THE HUMAN GENOME PROJECT Although we have completed the linear sequence of the 3 billion bases in the human genome, this accomplishment is only the beginning. Knowing the sequence of the human genome, without understanding the functional significance of the variation, is similar to knowing the alphabet of a language without comprehending any of the words. This state of ignorance has given rise to the expected cartoons…. The Human Genome Project Among the ~3 million common SNPs, which are functional? WHAT IS A HAPLOTYPE? A haplotype refers to a combination of two or more alleles that are found on the same chromosome. Haplotypes in this example are TC and AG. There are four possible T A haplotypes: TC, TG, AC and AG. If alleles at these two loci are found together more often than C G randomly among unrelated individuals, the two loci are in linkage disequilibrium (LD) or they are associated. LINKAGE DISEQUILIBRIUM (GENETIC ASSOCIATION) 1. For uncertain reasons, recombination tends not to occur at many sites in our genome, giving rise to blocks of DNA which remain relatively intact over human evolutionary time. 2. When an illness-causing variant first appears in a population, it is transmitted with large flanking DNA sequences to the next generation. 3. With each subsequent generation the flanking sequence transmitted always with the variant becomes smaller & smaller due to recombination. 4. Hundreds of generations later, “unrelated” persons (with the variant) share a small block of DNA, flanking the variant. LINKAGE DISEQUILIBRIUM (LD) Abraham’s ancestral chromosome Isaac = disease allele 2 x 107 bp shared Ismael Present day Middle East population 5000 generations later, ~4,000 bp shared LINKAGE DISEQUILIBRIUM (LD) Abraham’s ancestral chromosome Isaac ^ ^ =disease allele ^=neutral allele Ismael ^ Present day Middle East Population ^ 5000 generations later, ~4,000 bp shared LINKAGE DISEQUILIBRIUM (LD) Abraham’s ancestral chromosome Isaac ^ ^ Bethlehem =disease allele ^=neutral allele Ismael ^ Beirut ^ ^ ~5000 generations later, ~4000 bp shared ADVANCES in SNP TECHNOLOGY ~1,000,000 SNP CHIPs provide the ability to obtain a genotype at 1 SNP every ~ 4000 base pairs across the genome, allowing study of most haplotype blocks. Allele-specific fluorescently-tagged DNA fragments (known as oligonucleotides) are mounted on the slide. The oligonucleotides are sequence-specific for one of the two alleles of a given SNP. The fluorescent tag will emit energy at a specific wavelengths (color), only in the presence of the specific SNP allele for which they have been designed. The fluorescent signal is detected by a CCD camera. The fluorescent signals are read and translated into genotypes by computer scripts. DNA SNP Chip Image Homozygous for allele 1 = red Homozygous for allele 2 = green Heterozygous = blue Successes in GWAS * Cichon et al, AJP 166:5, 2009 *1 million SNPs have been tested for association with disease, creating a small multiple testing problem, so the p = 5 x 10-8 is the equivalent of p = 0.05. OUTLINE Epidemiology of addictions Genetics and Genome-wide Association Study (GWAS) Molecular study of nicotine addiction (NA) Molecular study of alcohol addiction (AA) Genome-wide association study of 1 million -15 L O G P SNPs for cigarettes per day in 41,000 persons CHRNA3- of European origin revealed only a single CHRNA5 cluster region of the genome (chromosome 15q25) conveying a small amount (odds ratio = 1.3) of risk for nicotine addiction (P = 10-16) Liu et al, Nature Genetics, in press -5 1 2 3 CHROMOSOME 15 CHRNA5 CHRNB4 CHRNA3 Bierut et al, 2008, P = 0.007; Chen et al, in press P=0.003 and 0.007; Weiss et al, 2008 p = 0.0009 Saccone, et al, 2007, P=0.0003 Thorgeirsson et al, 2008, P=10-20 Saccone et al, 2007 Berrettini et al, 2008 (P=0.000003 P=0.003 Berrettini et al, 2008 (p = 0.00007) Risk alleles are boxed; all are on a common European haplotype (frequency = 38%) CHRNA3/5 Alleles Increase Lung CA Risk (Hung et al, Nature, 2008) This was found even though cases and controls were closely matched for smoking history! CHRNA3/5 Alleles Increase Risk for Lung CA # 2 This was found even though cases and controls were closely matched for smoking history! Amos et al, Nat Genetics, 2008 CHRNA5 CHRNA3 PNAS, 2006 Lung CA cell lines Model of Carcinogenesis in Smoking and Lung Cancer Carcinogens in tobacco smoke cause a lung cell to become pre-malignant. The pre-malignant cell begins to overexpress CHRNA5 and underexpress CHRNA3, so that nicotinic signalling is markedly amplified. Immune surveillance cells detect this and send a pro-apoptotic signal to the pre-malignant lung cell. Because of the presence of nicotine, the cell is able to escape the apoptotic signal. The lung cell becomes fully malignant and is able to ignore further messages. If true, this model has implications for the treatment of nicotine addiction (with nicotine replacement therapies) in individuals with lung cancer, especially when such persons are undergoing chemotherapy. rs1051730 odds ratio = 1.3, Cases (n = ~2000) & controls were carefully matched for smoking history, suggesting p = 5.7 x 10-10 that the NA risk haplotype increases risk for COPD by a mechanism independent of smoking. Phenotypes Associated with the NA Risk Haplotype 1. Cigarettes per day (CPD): Berrettini et al, 2008; Thorgeirsson et al, 2008; Caporoso et al, 2009; Stevens et al, 2009; Chen et al, 2009; Freathy et al, 2009; Spitz et al, 2008, Liu et al, in press, 2010. 2. Fagerstrom test for Nicotine Dependence: Beirut et al, 2007; Weiss et al, 2008; Thorgeirsson et al, 2008; Chen et al, 2009 3. Lung cancer: Amos et al, 2008; Thorgeirsson et al 2008; Hung et al, 2008; Spitz et al, 2008; Liu et al, 2008; 4. Inability to quit smoking: Freathy et al, 2009; Baker et al, 2009; 5. Increased risk to relapse to smokingafter quitting: Baker et al, 2009; 6. Early onset of smoking: Weiss et al, 2008; Schlaepfer et al, 2008 7. COPD: Pillai et al, 2009 Prominent Neuronal NachR Subtypes Alpha 5 subunits cannot form functioning receptors alone or in combination with only one other Subunit type. Alpha 5 subunits do not participate in forming the acetylcholine binding site. courtesy of Jon Linstrom, PhD 48 OUTLINE Epidemiology of addictions Genetics and Genome-wide Association Study (GWAS) Molecular study of nicotine addiction (NA) Molecular study of alcohol addiction (AA) Naltexone Treatment of Alcohol Addiction Naltrexone (NTX), a mu opioid receptor antagonist, is efficacious (at 50-100 mg daily) in the treatment of alcohol addiction. It reduces risk for relapse to heavy drinking (> 4 drinks daily for a woman, > 5 drinks daily for a man), but does not influence abstinence. It reduces the euphoria from ethanol, and thereby reduces the drive to drink excessively. Because alcohol addiction is so common in our country, widespread use of naltrexone could improve public health considerably. Randomized Placebo Controlled NTX Trials Studies supporting efficacy Study Studies not supporting efficacy # Ss Notes Volpicelli et al 1992 70 None O’Malley et al 1992 97 Volpicelli et al 1997 Study # Ss Notes Oslin et al 1997 44 Older None Kranzler et al 2000 183 None 97 None Krystal et al 2001 627 VA only Kranzler et al 1998 20 Depot Lee et al 2001 (Singapore) 53 None Anton et al 1999 131 None Gastpar et al 2002 (Germ.) 171 None Chick et al 2000 (UK) 169 Adherence Kranzler et al 2004 315 Depot Monterosso et al 2001 183 None Killeen et al 2004 145 None Morris et al 2001 (Australia) 111 None Oslin et al in press 240 None Heinala et al 2001 (Finland) 121 Nonabst. Latt et al 2002 (Australia) 107 None Ahmadi and Ahmadi 2002 (Iran) 116 None Guardia et al 2002 (Spain) 202 None Balldin 2003 118 None Kiefer et al 2003 (Germany) 160 None Kranzler et al 2003 153 None Kranzler et al 2004 315 For drinking not relapse Anton et al 2004 270 None Mu Opioid Receptor Amino Acid Sequence Extracellular Space N40D (A118G) SNP; N is a glycosylation site cytoplasm Alcohol Effects by A118G Genotype Ray and Hutchinson, 2004 50 45 40 35 30 25 20 15 10 5 0 AA allele AG allele 0.02 0.04 Breath Alcohol Concentration 0.06 Naltrexone (NTX) in Clinical Trials for Alcoholism Patients were selected from 3 NTX multiple double-blind, placebocontrolled trials. These trials were 12 weeks, and include selfreport measures of drinking along with biochemical verification (liver enzymes and carbohydrate deficient transferrin). Primary endpoint was relapse to heavy drinking. Medication was given in blister packs and compliance was determined by pill counts. Participants had twice weekly abstinence counseling sessions. Only those persons completing the trial, with outcome data, were contacted later to provide a blood sample for DNA studies. Cumulative Survival (time to relapse) OPRM1 VARIANTS IN NALTREXONE Rx FOR ALCOHOL DEPENDENCE Naltrexone / Asp40 Allele (A/G, G/G), N = 23* Naltrexone Asn40 Allele (A/A), N = 48 Placebo / Asp40 Allele (A/G, G/G), N = 41 *p = 0.04 vs NTX Asn40 odds ratio = 3.4 Days Placebo / Asn40 Allele (A/A), N = 18 Oslin et al 2003 Fig 6: 118G Allele Predicts Good NTX Response % G O O D P = 0.005, genotype x medication interaction odds ratio = 5.8, A/A vs. G/* PLA NTX NTX PLA O U T C O M E A/A G/A, G/G The COMBINE study was a multi-site trial of NTX, acamprosate or both drugs, +/addiction counseling, for alcohol addiction. The NTX & placebo groups were compared by A118G genotype for outcome after 14 weeks of treatment. SUMMARY Genetic influences in drug addiction are varied, with some being specific to a pharmacologic given class of agents, while others cross these boundaries. A haplotype at the CHRNA3/5 locus increases risk for nicotine addiction, COPD and lung cancer, through independent mechanisms. The A118G SNP in the mu opioid receptor may predict response to naltrexone for alcoholism. I trust your genetic code is in order, Mr. Jones?