Which of the following statements best predicts the effect of increasing the permeability of the mitochondrial?

1. Reuter J, Raedler T, Rose M, et al. Pathological gambling is linked to reduced activation of the mesolimbic reward system. Nat Neurosci. 2005;8(2):147–8. [PubMed] [Google Scholar]

2. Merikangas KR, Avenevoli S. Implications of genetic epidemiology for the prevention of substance use disorders. Addict Behav. 2000;25(6):807–20. [PubMed] [Google Scholar]

3. Roberts AJ, Koob GF. The neurobiology of addiction: an overview. Alcohol Health Res World. 1997;21(2):101–6. [PMC free article] [PubMed] [Google Scholar]

4. World Health Organization (WHO) Management of substance abuse. [Accessed March 7, 2012]; Available at: http://www.who.int/substance_abuse/facts/alcohol/en/index.html.

5. World Health Organization (WHO) Management of substance abuse: the global burden. [Accessed March 7, 2012]; Available at: http://www.who.int/substance_abuse/facts/global_burden/en/

6. Office of National Drug Control Policy (ONDCP) The economic costs of drug abuse in the United States 1992-1998. NCJ-190636. [Accessed March 7, 2012];2001 Available at: www.drugabuse.gov/about/welcome/aboutdrugabuse/magnitude.

7. Bierut LJ, Dinwiddie SH, Begleiter H, et al. Familial transmission of substance dependence: alcohol, marijuana, cocaine, and habitual smoking: a report from the Collaborative Study on the Genetics of Alcoholism. Arch Gen Psychiatry. 1998;55(11):982–8. [PubMed] [Google Scholar]

8. Heath AC, Bucholz KK, Madden PA, et al. Genetic and environmental contributions to alcohol dependence risk in a national twin sample: consistency of findings in women and men. Psychol Med. 1997;27(6):1381–96. [PubMed] [Google Scholar]

9. Kendler KS, Karkowski L, Prescott CA. Hallucinogen, opiate, sedative and stimulant use and abuse in a population-based sample of female twins. Acta Psychiatr Scand. 1999;99(5):368–76. [PubMed] [Google Scholar]

10. Kendler KS, Karkowski LM, Neale MC, et al. Illicit psychoactive substance use, heavy use, abuse, and dependence in a US population-based sample of male twins. Arch Gen Psychiatry. 2000;57(3):261–9. [PubMed] [Google Scholar]

11. Kendler KS, Prescott CA. Caffeine intake, tolerance, and withdrawal in women: a population-based twin study. Am J Psychiatry. 1999;156(2):223–8. [PubMed] [Google Scholar]

12. Li MD, Cheng R, Ma JZ, et al. A meta-analysis of estimated genetic and environ mental effects on smoking behavior in male and female adult twins. Addiction. 2003;98(1):23–31. [PubMed] [Google Scholar]

13. Tsuang MT, Lyons MJ, Eisen SA, et al. Genetic influences on DSM-III-R drug abuse and dependence: a study of 3,372 twin pairs. Am J Med Genet. 1996;67(5):473–7. [PubMed] [Google Scholar]

14. Goldman D, Oroszi G, Ducci F. The genetics of addictions: uncovering the genes. Nat Rev Genet. 2005;6(7):521–32. [PubMed] [Google Scholar]

15. Kendler KS, Karkowski LM, Corey LA, et al. Genetic and environmental risk factors in the aetiology of illicit drug initiation and subsequent misuse in women. Br J Psychiatry. 1999;175:351–6. [PubMed] [Google Scholar]

16. Thomasson HR, Edenberg HJ, Crabb DW, et al. Alcohol and aldehyde dehydro-genase genotypes and alcoholism in Chinese men. Am J Hum Genet. 1991;48(4):677–81. [PMC free article] [PubMed] [Google Scholar]

17. Enoch MA, Gorodetsky E, Hodgkinson C, et al. Functional genetic variants that increase synaptic serotonin and 5-HT3 receptor sensitivity additively predict alcohol and drug dependence. Biol Psychiatry. 2010;67(9):91s. [PMC free article] [PubMed] [Google Scholar]

18. Ducci F, Enoch MA, Yuan Q, et al. HTR3B is associated with alcoholism with antisocial behavior and alpha EEG power—an intermediate phenotype for alcohol ism and co-morbid behaviors. Alcohol. 2009;43(1):73–84. [PMC free article] [PubMed] [Google Scholar]

19. Ducci F, Kaakinen M, Pouta A, et al. TTC12–ANKK1–DRD2 and CHRNA5– CHRNA3–CHRNB4 influence different pathways leading to smoking behavior from adolescence to mid-adulthood. Biol Psychiatry. 2011;69(7):650–60. [PMC free article] [PubMed] [Google Scholar]

20. Ripatti S, Tikkanen E, Orho-Melander M, et al. A multilocus genetic risk score for coronary heart disease: case-control and prospective cohort analyses. Lancet. 2010;376(9750):1393–400. [PMC free article] [PubMed] [Google Scholar]

21. Kendler KS, Schmitt E, Aggen SH, et al. Genetic and environmental influences on alcohol, caffeine, cannabis, and nicotine use from early adolescence to middle adulthood. Arch Gen Psychiatry. 2008;65(6):674–82. [PMC free article] [PubMed] [Google Scholar]

22. Kendler KS, Jacobson KC, Gardner CO, et al. Creating a social world: a developmental twin study of peer-group deviance. Arch Gen Psychiatry. 2007;64(8):958–65. [PMC free article] [PubMed] [Google Scholar]

23. Grant BF, Stinson FS, Dawson DA, et al. Co-occurrence of 12-month alcohol and drug use disorders and personality disorders in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry. 2004;61(4):361–8. [PubMed] [Google Scholar]

24. Grant BF, Stinson FS, Dawson DA, et al. Prevalence and co-occurrence of sub stance use disorders and independent mood and anxiety disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry. 2004;61(8):807–16. [PubMed] [Google Scholar]

25. Kessler RC, Crum RM, Warner LA, et al. Lifetime co-occurrence of DSM-III-R alcohol abuse and dependence with other psychiatric disorders in the National Comorbidity Survey. Arch Gen Psychiatry. 1997;54(4):313–21. [PubMed] [Google Scholar]

26. Goldman D, Bergen A. General and specific inheritance of substance abuse and alcoholism. Arch Gen Psychiatry. 1998;55(11):964–5. [PubMed] [Google Scholar]

27. Hicks BM, Krueger RF, Iacono WG, et al. Family transmission and heritability of externalizing disorders: a twin-family study. Arch Gen Psychiatry. 2004;61(9):922–8. [PubMed] [Google Scholar]

28. Kendler KS, Prescott CA, Myers J, et al. The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Arch Gen Psychiatry. 2003;60(9):929–37. [PubMed] [Google Scholar]

29. Han C, McGue MK, Iacono WG. Lifetime tobacco, alcohol and other substance use in adolescent Minnesota twins: univariate and multivariate behavioral genetic analyses. Addiction. 1999;94(7):981–93. [PubMed] [Google Scholar]

30. Kendler KS, Myers J, Prescott CA. Specificity of genetic and environmental risk factors for symptoms of cannabis, cocaine, alcohol, caffeine, and nicotine dependence. Arch Gen Psychiatry. 2007;64(11):1313–20. [PubMed] [Google Scholar]

31. Ducci F, Enoch MA, Funt S, et al. Increased anxiety and other similarities in temperament of alcoholics with and without antisocial personality disorder across three diverse populations. Alcohol. 2007;41(1):3–12. [PMC free article] [PubMed] [Google Scholar]

32. Krueger RF, Hicks BM, Patrick CJ, et al. Etiologic connections among substance dependence, antisocial behavior, and personality: modeling the externalizing spectrum. J Abnorm Psychol. 2002;111(3):411–24. [PubMed] [Google Scholar]

33. Sher KJ, Bartholow BD, Wood MD. Personality and substance use disorders: a prospective study. J Consult Clin Psychol. 2000;68(5):818–29. [PubMed] [Google Scholar]

34. Kendler KS, Heath AC, Neale MC, et al. Alcoholism and major depression in women. A twin study of the causes of comorbidity. Arch Gen Psychiatry. 1993;50(9):690–8. [PubMed] [Google Scholar]

35. Prescott CA, Aggen SH, Kendler KS. Sex-specific genetic influences on the comorbidity of alcoholism and major depression in a population-based sample of US twins. Arch Gen Psychiatry. 2000;57(8):803–11. [PubMed] [Google Scholar]

36. Zimmermann P, Wittchen HU, Hofler M, et al. Primary anxiety disorders and the development of subsequent alcohol use disorders: a 4-year community study of adolescents and young adults. Psychol Med. 2003;33(7):1211–22. [PubMed] [Google Scholar]

37. Ducci F, Roy A, Shen PH, et al. Association of substance use disorders with childhood trauma but not African genetic heritage in an African American cohort. Am J Psychiatry. 2009;166(9):1031–40. [PMC free article] [PubMed] [Google Scholar]

38. Thorgeirsson TE, Geller F, Sulem P, et al. A variant associated with nicotine dependence, lung cancer and peripheral arterial disease. Nature. 2008;452(7187):638–42. [PMC free article] [PubMed] [Google Scholar]

39. Caspi A, Moffitt TE. Gene-environment interactions in psychiatry: joining forces with neuroscience. Nat Rev Neurosci. 2006;7(7):583–90. [PubMed] [Google Scholar]

40. Ducci F, Enoch MA, Hodgkinson C, et al. Interaction between a functional MAOA locus and childhood sexual abuse predicts alcoholism and antisocial personality disorder in adult women. Mol Psychiatry. 2008;13(3):334–47. [PubMed] [Google Scholar]

41. Hariri AR, Mattay VS, Tessitore A, et al. Serotonin transporter genetic variation and the response of the human amygdala. Science. 2002;297(5580):400–3. [PubMed] [Google Scholar]

42. Zubieta JK, Heitzeg MM, Smith YR, et al. COMT val158met genotype affects mu-opioid neurotransmitter responses to a pain stressor. Science. 2003;299(5610):1240–3. [PubMed] [Google Scholar]

43. Zhou Z, Zhu G, Hariri AR, et al. Genetic variation in human NPY expression affects stress response and emotion. Nature. 2008;452(7190):997–1001. [PMC free article] [PubMed] [Google Scholar]

44. Binder EB, Bradley RG, Liu W, et al. Association of FKBP5 polymorphisms and childhood abuse with risk of posttraumatic stress disorder symptoms in adults. JAMA. 2008;299(11):1291–305. [PMC free article] [PubMed] [Google Scholar]

45. Desrivieres S, Lourdusamy A, Muller C, et al. Glucocorticoid receptor (NR3C1) gene polymorphisms and onset of alcohol abuse in adolescents. Addict Biol. 16(3):510–3. [PMC free article] [PubMed] [Google Scholar]

46. Ressler KJ, Mercer KB, Bradley B, et al. Post-traumatic stress disorder is associated with PACAP and the PAC1 receptor. Nature. 2011;470(7335):492–7. [PMC free article] [PubMed] [Google Scholar]

47. Goldman D, Ducci F. Deconstruction of vulnerability to complex diseases: enhanced effect sizes and power of intermediate phenotypes. Scientific World Journal Review. 2007;2(7):124–30. [PMC free article] [PubMed] [Google Scholar]

48. Heath AC, Madden PA, Bucholz KK, et al. Genetic differences in alcohol sensitivity and the inheritance of alcoholism risk. Psychol Med. 1999;29(5):1069–81. [PubMed] [Google Scholar]

49. Rodriguez LA, Wilson JR, Nagoshi CT. Does psychomotor sensitivity to alcohol predict subsequent alcohol use? Alcohol Clin Exp Res. 1993;17(1):155–61. [PubMed] [Google Scholar]

50. Schuckit MA, Smith TL, Kalmijn J, et al. Response to alcohol in daughters of alcoholics: a pilot study and a comparison with sons of alcoholics. Alcohol Alcohol. 2000;35(3):242–8. [PubMed] [Google Scholar]

51. Schuckit MA. Biological, psychological and environmental predictors of the alcohol ism risk: a longitudinal study. J Stud Alcohol. 1998;59(5):485–94. [PubMed] [Google Scholar]

52. Hu X, Oroszi G, Chun J, et al. An expanded evaluation of the relationship of four alleles to the level of response to alcohol and the alcoholism risk. Alcohol Clin Exp Res. 2005;29(1):8–16. [PubMed] [Google Scholar]

53. Meyer-Lindenberg A, Weinberger DR. Intermediate phenotypes and genetic mechanisms of psychiatric disorders. Nat Rev Neurosci. 2006;7(10):818–27. [PubMed] [Google Scholar]

54. Hariri AR, Drabant EM, Munoz KE, et al. A susceptibility gene for affective disorders and the response of the human amygdala. Arch Gen Psychiatry. 2005;62(2):146–52. [PubMed] [Google Scholar]

55. Peters J, Bromberg U, Schneider S, et al. Lower ventral striatal activation during reward anticipation in adolescent smokers. Am J Psychiatry. 2011;168(5):540–9. [PubMed] [Google Scholar]

56. Ramchandani VA, Umhau J, Pavon FJ, et al. A genetic determinant of the striatal dopamine response to alcohol in men. Mol Psychiatry. 2011;16(8):809–17. [PMC free article] [PubMed] [Google Scholar]

57. Ducci F, Goldman D. Genetic approaches to addiction: genes and alcohol. Addiction. 2008;103(9):1414–28. [PMC free article] [PubMed] [Google Scholar]

58. Brooks PJ, Goldman D, Li TK. Alleles of alcohol and acetaldehyde metabolism genes modulate susceptibility to oesophageal cancer from alcohol consumption. Hum Genomics. 2009;3(2):103–5. [PMC free article] [PubMed] [Google Scholar]

59. Bierut LJ, Goate AM, Breslau N, et al. ADH1B is associated with alcohol dependence and alcohol consumption in populations of European and African ancestry. Mol Psychiatry. 2012;17(4):445–50. [PMC free article] [PubMed] [Google Scholar]

60. Goldman D, Enoch MA. Genetic epidemiology of ethanol metabolic enzymes: a role for selection. World Rev Nutr Diet. 1990;63:143–60. [PubMed] [Google Scholar]

61. Lewis DA, Melchitzky DS, Sesack SR, et al. Dopamine transporter immunoreactivity in monkey cerebral cortex: regional, laminar, and ultrastructural localization. J Comp Neurol. 2001;432(1):119–36. [PubMed] [Google Scholar]

62. Mazei MS, Pluto CP, Kirkbride B, et al. Effects of catecholamine uptake blockers in the caudate-putamen and subregions of the medial prefrontal cortex of the rat. Brain Res. 2002;936(1–2):58–67. [PubMed] [Google Scholar]

63. Giakoumaki SG, Roussos P, Bitsios P. Improvement of prepulse inhibition and executive function by the COMT inhibitor tolcapone depends on COMT Val158Met polymorphism. Neuropsychopharmacology. 2008;33(13):3058–68. [PubMed] [Google Scholar]

64. Yavich L, Forsberg MM, Karayiorgou M, et al. Site-specific role of catechol-O-methyltransferase in dopamine overflow within prefrontal cortex and dorsal striatum. J Neurosci. 2007;27(38):10196–209. [PMC free article] [PubMed] [Google Scholar]

65. Jeffery DR, Roth JA. Characterization of membrane-bound and soluble catechol-O-methyltransferase from human frontal cortex. J Neurochem. 1984;42(3):826–32. [PubMed] [Google Scholar]

66. Rivett AJ, Francis A, Roth JA. Distinct cellular localization of membrane-bound and soluble forms of catechol-O-methyltransferase in brain. J Neurochem. 1983;40(1):215–9. [PubMed] [Google Scholar]

67. Chen J, Song J, Yuan P, et al. Orientation and cellular distribution of membrane-bound catechol-O-methyltransferase in cortical neurons: implications for drug development. J Biol Chem. 2011;286(40):34752–60. [PMC free article] [PubMed] [Google Scholar]

68. Lachman HM, Papolos DF, Saito T, et al. Human catechol-O-methyltransferase pharmacogenetics: description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics. 1996;6(3):243–50. [PubMed] [Google Scholar]

69. Scanlon PD, Raymond FA, Weinshilboum RM. Catechol-O-methyltransferase: thermolabile enzyme in erythrocytes of subjects homozygous for allele for low activity. Science. 1979;203(4375):63–5. [PubMed] [Google Scholar]

70. Weinshilboum R, Dunnette J. Thermal stability and the biochemical genetics of erythrocyte catechol-O-methyl-transferase and plasma dopamine-beta-hydroxy-lase. Clin Genet. 1981;19(5):426–37. [PubMed] [Google Scholar]

71. Chen J, Lipska BK, Halim N, 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):807–21. [PMC free article] [PubMed] [Google Scholar]

72. Egan MF, Goldberg TE, Kolachana BS, et al. Effect of COMT Val108/158 Met genotype on frontal lobe function and risk for schizophrenia. Proc Natl Acad Sci U S A. 2001;98(12):6917–22. [PMC free article] [PubMed] [Google Scholar]

73. Goldberg TE, Egan MF, Gscheidle T, et al. Executive sub processes in working memory: relationship to catechol-O-methyltransferase Val158Met genotype and schizophrenia. Arch Gen Psychiatry. 2003;60(9):889–96. [PubMed] [Google Scholar]

74. Malhotra AK, Kestler LJ, Mazzanti C, et al. A functional polymorphism in the COMT gene and performance on a test of prefrontal cognition. Am J Psychiatry. 2002;159(4):652–4. [PubMed] [Google Scholar]

75. Gogos JA, Morgan M, Luine V, et al. Catechol-O-methyltransferase-deficient mice exhibit sexually dimorphic changes in catecholamine levels and behavior. Proc Natl Acad Sci U S A. 1998;95(17):9991–6. [PMC free article] [PubMed] [Google Scholar]

76. Enoch MA, Xu K, Ferro E, et al. Genetic origins of anxiety in women: a role for a functional catechol-O-methyltransferase polymorphism. Psychiatr Genet. 2003;13(1):33–41. [PubMed] [Google Scholar]

77. Jiang H, Xie T, Ramsden DB, et al. Human catechol-O-methyltransferase down-regulation by estradiol. Neuropharmacology. 2003;45(7):1011–8. [PubMed] [Google Scholar]

78. Diatchenko L, Slade GD, Nackley AG, et al. Genetic basis for individual variations in pain perception and the development of a chronic pain condition. Hum Mol Genet. 2005;14(1):135–43. [PubMed] [Google Scholar]

79. Smolka MN, Schumann G, Wrase J, et al. Catechol-O-methyltransferase val158met genotype affects processing of emotional stimuli in the amygdala and prefrontal cortex. J Neurosci. 2005;25(4):836–42. [PMC free article] [PubMed] [Google Scholar]

80. Tammimaki AE, Mannisto PT. Are genetic variants of COMT associated with addiction? Pharmacogenet Genomics. 2010;20(12):717–41. [PubMed] [Google Scholar]

81. Vandenbergh DJ, Rodriguez LA, Miller IT, et al. High-activity catechol-O-methyl-transferase allele is more prevalent in polysubstance abusers. Am J Med Genet. 1997;74(4):439–42. [PubMed] [Google Scholar]

82. Jugurnauth SK, Chen CK, Barnes MR, et al. A COMT gene haplotype associated with methamphetamine abuse. Pharmacogenet Genomics. 2011;21(11):731–40. [PubMed] [Google Scholar]

83. Tiihonen J, Hallikainen T, Lachman H, et al. Association between the functional variant of the catechol-O-methyltransferase (COMT) gene and type 1 alcoholism. Mol Psychiatry. 1999;4(3):286–9. [PubMed] [Google Scholar]

84. Kauhanen J, Hallikainen T, Tuomainen TP, et al. Association between the functional polymorphism of catechol-O-methyltransferase gene and alcohol consumption among social drinkers. Alcohol Clin Exp Res. 2000;24(2):135–9. [PubMed] [Google Scholar]

85. Lesch KP, Bengel D, Heils A, et al. Association of anxiety-related traits with a polymorphism in the serotonin transporter gene regulatory region. Science. 1996;274(5292):1527–31. [PubMed] [Google Scholar]

86. Hu XZ, Lipsky RH, Zhu G, et al. Serotonin transporter promoter gain-of-function genotypes are linked to obsessive-compulsive disorder. Am J Hum Genet. 2006;78(5):815–26. [PMC free article] [PubMed] [Google Scholar]

87. Little KY, McLauglin DP, Ranc J, et al. Serotonin transporter binding sites and mRNA levels in depressed persons committing suicide. Biol Psychiatry. 1997;41(12):1156–64. [PubMed] [Google Scholar]

88. Heinz A, Jones DW, Mazzanti C, et al. A relationship between serotonin transporter genotype and in vivo protein expression and alcohol neurotoxicity. Biol Psychiatry. 2000;47(7):643–9. [PubMed] [Google Scholar]

89. Shioe K, Ichimiya T, Suhara T, et al. No association between genotype of the promoter region of serotonin transporter gene and serotonin transporter binding in human brain measured by PET. Synapse. 2003;48(4):184–8. [PubMed] [Google Scholar]

90. Caspi A, Sugden K, Moffitt TE, et al. Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene. Science. 2003;301(5631):386–9. [PubMed] [Google Scholar]

91. Risch N, Herrell R, Lehner T, et al. Interaction between the serotonin transporter gene (5-HTTLPR), stressful life events, and risk of depression: a meta-analysis. JAMA. 2009;301(23):2462–71. [PMC free article] [PubMed] [Google Scholar]

92. Szekely E, Herba CM, Arp PP, et al. Recognition of scared faces and the serotonin transporter gene in young children: the Generation R Study. J Child Psychol Psychiatry. 2011;52(12):1279–86. [PubMed] [Google Scholar]

93. Pezawas L, Meyer-Lindenberg A, Drabant EM, et al. 5-HTTLPR polymorphism impacts human cingulate-amygdala interactions: a genetic susceptibility mechanism for depression. Nat Neurosci. 2005;8(6):828–34. [PubMed] [Google Scholar]

94. Heinz A, Braus DF, Smolka MN, et al. Amygdala-prefrontal coupling depends on a genetic variation of the serotonin transporter. Nat Neurosci. 2005;8(1):20–1. [PubMed] [Google Scholar]

95. Mueller A, Armbruster D, Moser DA, et al. Interaction of serotonin transporter gene-linked polymorphic region and stressful life events predicts cortisol stress response. Neuropsychopharmacology. 2011;36(7):1332–9. [PMC free article] [PubMed] [Google Scholar]

96. Barr CS, Newman TK, Becker ML, et al. The utility of the non-human primate: model for studying gene by environment interactions in behavioral research. Genes Brain Behav. 2003;2(6):336–40. [PubMed] [Google Scholar]

97. Barr CS, Newman TK, Lindell S, et al. Interaction between serotonin transporter gene variation and rearing condition in alcohol preference and consumption in female primates. Arch Gen Psychiatry. 2004;61(11):1146–52. [PubMed] [Google Scholar]

98. Berrettini W, Yuan X, Tozzi F, et al. Alpha-5/alpha-3 nicotinic receptor subunit alleles increase risk for heavy smoking. Mol Psychiatry. 2008;13(4):368–73. [PMC free article] [PubMed] [Google Scholar]

99. Bierut LJ, Madden PA, Breslau N, et al. Novel genes identified in a high-density genome wide association study for nicotine dependence. Hum Mol Genet. 2007;16(1):24–35. [PMC free article] [PubMed] [Google Scholar]

100. Saccone SF, Hinrichs AL, Saccone NL, et al. Cholinergic nicotinic receptor genes implicated in a nicotine dependence association study targeting 348 candidate genes with 3713 SNPs. Hum Mol Genet. 2007;16(1):36–49. [PMC free article] [PubMed] [Google Scholar]

101. Sherva R, Wilhelmsen K, Pomerleau CS, et al. Association of a single nucleotide polymorphism in neuronal acetylcholine receptor subunit alpha 5 (CHRNA5) with smoking status and with ‘pleasurable buzz’ during early experimentation with smoking. Addiction. 2008;103(9):1544–52. [PMC free article] [PubMed] [Google Scholar]

102. Stevens VL, Bierut LJ, Talbot JT, et al. Nicotinic receptor gene variants influence susceptibility to heavy smoking. Cancer Epidemiol Biomarkers Prev. 2008;17(12):3517–25. [PMC free article] [PubMed] [Google Scholar]

103. Amos CI, Wu X, Broderick P, et al. Genome-wide association scan of tag SNPs identifies a susceptibility locus for lung cancer at 15q25. 1 Nat Genet. 2008;40(5):616–22. [PMC free article] [PubMed] [Google Scholar]

104. Hung RJ, McKay JD, Gaborieau V, et al. A susceptibility locus for lung cancer maps to nicotinic acetylcholine receptor subunit genes on 15q25. Nature. 2008;452(7187):633–7. [PubMed] [Google Scholar]

105. Timofeeva MN, McKay JD, Smith GD, et al. Genetic polymorphisms in 15q25 and 19q13 loci, cotinine levels, and risk of lung cancer in EPIC. Cancer Epidemiol Biomarkers Prev. 2011;20(10):2250–61. [PMC free article] [PubMed] [Google Scholar]

106. Munafo MR, Johnstone EC, Walther D, et al. CHRNA3 rs1051730 genotype and short-term smoking cessation. Nicotine Tob Res. 2011;13(10):982–8. [PMC free article] [PubMed] [Google Scholar]

107. Neiswanger K, Hill SY, Kaplan BB. Association and linkage studies of the TAQI A1 allele at the dopamine D2 receptor gene in samples of female and male alcoholics. Am J Med Genet. 1995;60(4):267–71. [PubMed] [Google Scholar]

108. Hong LE, Hodgkinson CA, Yang Y, et al. A genetically modulated, intrinsic cingulate circuit supports human nicotine addiction. Proc Natl Acad Sci U S A. 2010;107(30):13509–14. [PMC free article] [PubMed] [Google Scholar]

109. Bierut LJ, Stitzel JA, Wang JC, et al. Variants in nicotinic receptors and risk for nicotine dependence. Am J Psychiatry. 2008;165(9):1163–71. [PMC free article] [PubMed] [Google Scholar]

110. Kuryatov A, Berrettini W, Lindstrom J. Acetylcholine receptor (AChR) alpha5 subunit variant associated with risk for nicotine dependence and lung cancer reduces (alpha4beta2)alpha5 AChR function. Mol Pharmacol. 2011;79(1):119–25. [PMC free article] [PubMed] [Google Scholar]

111. Thorgeirsson TE, Gudbjartsson DF, Surakka I, et al. Sequence variants at CHRNB3– CHRNA6 and CYP2A6 affect smoking behavior. Nat Genet. 2010;42(5):448–53. [PMC free article] [PubMed] [Google Scholar]

112. Treutlein J, Cichon S, Ridinger M, et al. Genome-wide association study of alcohol dependence. Arch Gen Psychiatry. 2009;66(7):773–84. [PMC free article] [PubMed] [Google Scholar]

113. Lind PA, Macgregor S, Vink JM, et al. A genome wide association study of nicotine and alcohol dependence in Australian and Dutch populations. Twin Res Hum Genet. 2010;13(1):10–29. [PMC free article] [PubMed] [Google Scholar]

114. Bierut LJ, Agrawal A, Bucholz KK, et al. A genome-wide association study of alcohol dependence. Proc Natl Acad Sci U S A. 2010;107(11):5082–7. [PMC free article] [PubMed] [Google Scholar]

115. Edenberg HJ, Koller DL, Xuei X, et al. Genome-wide association study of alcohol dependence implicates a region on chromosome 11. Alcohol Clin Exp Res. 2010;34(5):840–52. [PMC free article] [PubMed] [Google Scholar]

116. Schumann G, Coin LJ, Lourdusamy A, et al. Genome-wide association and genetic functional studies identify autism susceptibility candidate 2 gene (AUTS2) in the regulation of alcohol consumption. Proc Natl Acad Sci U S A. 2011;108(17):7119–24. [PMC free article] [PubMed] [Google Scholar]

117. Hodgkinson CA, Enoch MA, Srivastava V, et al. Genome-wide association identifies candidate genes that influence the human electroencephalogram. Proc Natl Acad Sci U S A. 2010;107(19):8695–700. [PMC free article] [PubMed] [Google Scholar]

118. Uher R. The role of genetic variation in the causation of mental illness: an evolution-informed framework. Mol Psychiatry. 2009;14(12):1072–82. [PubMed] [Google Scholar]

119. Sebat J, Lakshmi B, Malhotra D, et al. Strong association of de novo copy number mutations with autism. Science. 2007;316(5823):445–9. [PMC free article] [PubMed] [Google Scholar]

120. Stefansson H, Rujescu D, Cichon S, et al. Large recurrent microdeletions associated with schizophrenia. Nature. 2008;455(7210):232–6. [PMC free article] [PubMed] [Google Scholar]

121. Cases O, Seif I, Grimsby J, et al. Aggressive behavior and altered amounts of brain serotonin and norepinephrine in mice lacking MAOA. Science. 1995;268(5218):1763–6. [PMC free article] [PubMed] [Google Scholar]

122. Brunner HG, Nelen M, Breakefield XO, et al. Abnormal behavior associated with a point mutation in the structural gene for monoamine oxidase A. Science. 1993;262(5133):578–80. [PubMed] [Google Scholar]

123. Sabol SZ, Hu S, Hamer D. A functional polymorphism in the monoamine oxidase A gene promoter. Hum Genet. 1998;103(3):273–9. [PubMed] [Google Scholar]

124. Mickey BJ, Ducci F, Hodgkinson CA, et al. Monoamine oxidase A genotype predicts human serotonin 1A receptor availability in vivo. J Neurosci. 2008;28(44):11354–9. [PMC free article] [PubMed] [Google Scholar]

125. Caspi A, McClay J, Moffitt TE, et al. Role of genotype in the cycle of violence in maltreated children. Science. 2002;297(5582):851–4. [PubMed] [Google Scholar]

126. Taylor A, Kim-Cohen J. Meta-analysis of gene-environment interactions in develop mental psychopathology. Dev Psychopathol. 2007;19(4):1029–37. [PubMed] [Google Scholar]

127. Newman TK, Syagailo YV, Barr CS, et al. Monoamine oxidase A gene promoter variation and rearing experience influences aggressive behavior in rhesus monkeys. Biol Psychiatry. 2005;57(2):167–72. [PubMed] [Google Scholar]

128. Sjoberg RL, Ducci F, Barr CS, et al. A non-additive interaction of a functional MAO-A VNTR and testosterone predicts antisocial behavior. Neuropsychopharmacology. 2008;33(2):425–30. [PMC free article] [PubMed] [Google Scholar]

129. Tikkanen R, Sjoberg RL, Ducci F, et al. Effects of MAOA-genotype, alcohol consumption, and aging on violent behavior. Alcohol Clin Exp Res. 2009;33(3):428–34. [PMC free article] [PubMed] [Google Scholar]

130. Tikkanen R, Ducci F, Goldman D, et al. MAOA alters the effects of heavy drinking and childhood physical abuse on risk for severe impulsive acts of violence among alcoholic violent offenders. Alcohol Clin Exp Res. 2010;34(5):853–60. [PMC free article] [PubMed] [Google Scholar]

131. Bevilacqua L, Doly S, Kaprio J, et al. A population-specific HTR2B stop codon predisposes to severe impulsivity. Nature. 2010;468(7327):1061–6. [PMC free article] [PubMed] [Google Scholar]

132. Kupfer DJ, First MB, Regier DA, editors. A research agenda for DSM-V. Washington, DC: American Psychiatric Association; 2002. [Google Scholar]

133. Caetano R, Cunradi C. Alcohol dependence: a public health perspective. Addiction. 2002;97(6):633–45. [PubMed] [Google Scholar]

134. Anton RF, Oroszi G, O'Malley S, et al. An evaluation of mu-opioid receptor (OPRM1) as a predictor of naltrexone response in the treatment of alcohol dependence: results from the Combined Pharmacotherapies and Behavioral Interventions for Alcohol Dependence (COMBINE) study. Arch Gen Psychiatry. 2008;65(2):135–44. [PMC free article] [PubMed] [Google Scholar]

135. Oslin DW, Berrettini W, Kranzler HR, et al. A functional polymorphism of the mu-opioid receptor gene is associated with naltrexone response in alcohol-dependent patients. Neuropsychopharmacology. 2003;28(8):1546–52. [PubMed] [Google Scholar]


Page 2

Which of the following statements best predicts the effect of increasing the permeability of the mitochondrial?

Heritability (weighted means and ranges) of 10 addictive disorders: hallucinogens, cannabis, stimulants, sedatives, opiates, and cocaine dependence or abuse; alcohol dependence; smoking; caffeine consumption or heavy use; pathologic gambling. Weighted heritability (h2) means were computed using data from large surveys of adult twins. (Adapted from Goldman D, Oroszi G, Ducci F. The genetics of addictions: uncovering the genes. Nat Rev Genet 2005;6(7):521–32.)

  • Which of the following statements best predicts the effect of increasing the permeability of the mitochondrial?
  • Which of the following statements best predicts the effect of increasing the permeability of the mitochondrial?
  • Which of the following statements best predicts the effect of increasing the permeability of the mitochondrial?
  • Which of the following statements best predicts the effect of increasing the permeability of the mitochondrial?
  • Which of the following statements best predicts the effect of increasing the permeability of the mitochondrial?
  • Which of the following statements best predicts the effect of increasing the permeability of the mitochondrial?
  • Which of the following statements best predicts the effect of increasing the permeability of the mitochondrial?
  • Which of the following statements best predicts the effect of increasing the permeability of the mitochondrial?
  • Which of the following statements best predicts the effect of increasing the permeability of the mitochondrial?
  • Which of the following statements best predicts the effect of increasing the permeability of the mitochondrial?
  • Which of the following statements best predicts the effect of increasing the permeability of the mitochondrial?

Click on the image to see a larger version.