The role of genetic component in various types of addiction: the analysis of the results of genome-wide association studies

  • Evgeny V. Snytkov International Sakharov Environmental Institute, Belarussian State University
  • Viachaslau N. Kipen Institute of Genetics and Cytology, National Academy of Sciences of Belarus
  • Sergey B. Melnov International Sakharov Environmental Institute, Belarussian State University; The Belarusian State University of Physical Culture

Abstract

The article presents the analysis of the results of genome-wide association studies (GWAS), conducted over the past 10 years and aimed at finding genetic markers associated with increased risk of developing various types of addiction (alcoholism, drug addiction, smoking), pathological gambling and schizophrenia. For a number of diseases that have genetic markers with proven clinical significance in their etiopathogenesis: for alcohol dependence – GABRA2, ADH1B, ADH1C, TAS2R16, HTR2A genes; for drug addiction – OPRM1, OPRD1 genes; for nicotine addiction – SLC6A3, GPR51, GPR51, CYP2A6, CHRNA4 genes; for schizophrenia – SCZD12, MTHFR, CHI3L1, DISC2, SYN2, DRD3 genes, the
discovery of new polymorphic variants associated with a particular disease will allow us to identify previously not described dependencies and patterns. GWAS results will help identify possible common signaling pathways in the etiopathogenesis of the nosologies discussed in this stady.

Author Biographies

Evgeny V. Snytkov, International Sakharov Environmental Institute, Belarussian State University

teacher at the department of general biology and genetics

Viachaslau N. Kipen, Institute of Genetics and Cytology, National Academy of Sciences of Belarus

PhD (biology); researcher at the laboratory of genetic and cellular engineering

Sergey B. Melnov, International Sakharov Environmental Institute, Belarussian State University; The Belarusian State University of Physical Culture

doctor of science (biology), full professor; professor at the department of environmental medicine and radiobiologya; professor at the department of anatomyc.

References

  1. Goodwin D. Drinking problems in adopted and nonadopted sons of alcoholics. Archives of General Psychiatry. 1974;31(2):164−169.
  2. Blass JP, Gibson GE. Genetic factors in Wernicke-Korsakoff syndrome. Alcohol. Clinical and Experimental Research. 1979;3:126−134.
  3. Wyngaarden JB. Familial hyperlipoproteinemia. In: The Metabolic Basis of Inherited Disease. 2 nd editor. New York: McGraw-Hill; 1966.
  4. Mackillop J. The Role of Genetics in Nicotine Dependence: Mapping the Pathways from Genome to Syndrome. Current Cardiovascular Risk Reports. 2010;4:446−453.
  5. Tyndale RF. Genetics of alcohol and tobacco use in humans. Annals of Medicine. 2003;35:94−121.
  6. Davies GE, Soundy TJ. The genetics of smoking and nicotine addiction. South Dakota Medicine. 2009;43:9.
  7. Carmelli D. Genetic influence on smoking – a study of male twins. New England Journal of Medicine. 1992:829−833.
  8. Heath AC. Behavior genetic approaches in behavioral medicine. In: Behavior Genetic Influences on Smoking Behavior. New York: Plenum; 1995. p. 37−48.
  9. Goldman D, Oroszi G, Ducci F. The genetics of addiction: uncovering the genes. Nature Reviews Genetics. 2005;6:521−532.
  10. Prescott CA, et al. Genetic and environmental influences on alcohol, caffeine, cannabis, and nicotine use from early adolescence to middle adulthood. Archves of General Psychiatry. 2008;65:674−682.
  11. Mather M, Lighthall N. Both risk and reward are processed differently in decisions made under stress. Current Directions in Psychological Science. 2012;21:36−41.
  12. Subramaniam M, et al. Prevalence and determinants of gambling disorder among older adults: a systematic review. Addictive Behaviors. 2014;41:199−209.
  13. Voon V, et al. Factors associated with dopaminergic drug-related pathological gambling in Parkinson disease. Archives of Neurology. 2007;64:212−216.
  14. Kendler K. Schizophrenia: genetics. Comprehensive Textbook of Psychiatry. Baltimore: Williams and Wilkins; 1985. p. 942−957.
  15. Moldin S. Sponsoring initiatives in the molecular genetics of mental disorders. In: Genetics and Mental Disorders. Report of the NIMH Genetics. Bethesda: Md.; 1998.
  16. Negrón-Oyarzo I, et al. Schizophrenia and reelin: a model based on prenatal stress to study epigenetics, brain development and behavior. Biological Research. 2016;49:659−676.
  17. Robinson A, Nestler E. Transcriptional and epigenetic mechanisms of addiction. Nature Reviews Neuroscience. 2011;12:623−37.
  18. International Agency for Research on Cancer. IARC monographs on the evaluation of carcinogenic risks to humans. Personal habits and indoor combustion: consumption of alcoholic beverages, 2012 October 24. Lyon, France: International Agency for Research on Cancer. 2016. Volume 100E. 598 p.
  19. Разводовский ЮЕ. Продажа алкоголя и эпидемиологические параметры алкоголизма в Беларуси. Тюменский медицинский журнал. 2016;18(4):3−8.
  20. Treutlein J, et al. Genome-wide association study of alcohol dependence. Archives General Psychiatry. 2009;66:773−784.
  21. Heath A, et al. A quantitative-trait genome-wide association study of alcoholism risk in the community: findings and implications. Biological Psychiatry. 2011;70:508−513.
  22. Hancock D, et al. Genome-wide meta-analysis reveals common splice site acceptor variant in CHRNA4 associated with nicotine dependence. Translational Psychiatry. 2015;6:651.
  23. Verweij K, et al. The genetic aetiology of cannabis use initiation: a meta-analysis of genome-wide association studies and a SNP-based heritability estimation. Addiction Biology. 2013;18:846−850.
  24. Liuz Z, et al. NCK2 is significantly associated with opiates addiction in African-origin men. Scientific World Journal. 2013;10:74−89.
  25. Johnson E, еt al. KAT2B polymorphism identified for drug abuse in African Americans with regulatory links to drug abuse pathways in human prefrontal cortex Addiction Biology. 2016;21:1217−1232.
  26. Lang M, et al. Genome-wide association study of pathological gambling. European Psychiatry. 2016;36:38−46.
  27. Sullivan P. Kendler K. Neale M. Schizophrenia as a complex trait: evidence from a meta-analysis of twin studies. Archives of General Psychiatry. 2003;60:1187−1192.
  28. Bhugra D. The global prevalence of schizophrenia. PLOS Medicine. 2005;2:151−175.
  29. Lencz T. Converging evidence for a pseudoautosomal cytokine receptor gene locus in schizophrenia. Molecular Psychiatry. 2007;12:572−580.
  30. Fanous A, et al. Genome-wide association study of clinical dimensions of schizophrenia: polygenic effect on disorganized symptoms. American Journal of Psychiatry. 2012; 169:1309−1317.
  31. Biological insights from 108 schizophrenia-associated genetic loci. Schizophrenia Working Group of the Psychiatric Genomics Consortium. Nature. 2014;24:421−427.
  32. Genome-wide association study implicates HLA-C*01:02 as a risk factor at the major histocompatibility complex locus in schizophrenia. Irish Schizophrenia Genomics Consortium and the Wellcome Trust Case Control Consortium 2. Biological Psychiatry. 2012;72:620–628.
  33. Genome-wide association study identifies five new schizophrenia loci. Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium. Nature Genetics. 2011; 18:969−976.
  34. Ripke S, et al. Genome-wide association analysis identifies 13 new risk loci for schizophrenia. Nature Genetics. 2013;10:1150−1159.
  35. Kipen VN. The role of low-penetrance alleles in predisposing the development of sporadic breast cancer. Russian Journal of Genetics. 2017;53(7):804−808.
  36. Исакова ЖТ, Кипень ВН, Талайбекова ЭТ, и др. Роль и взаимодействие полиморфных вариантов неаллельных генов KCNJ11, ADIPOQ, ITLN1, LEP, TCF7L2 и PPARGb в увеличении риска развития сахарного диабета типа 2 в Кыргызской Республике. Молекулярная медицина. 2019;17(4):34−44.
Published
2020-10-20
Keywords: alcoholism, tobacco smoking, gambling, drug addiction, schizophrenia, genetics, genome, single nucleotide polymorphism, genome-wide association studies (GWAS)
How to Cite
Snytkov, E. V., Kipen, V. N., & Melnov, S. B. (2020). The role of genetic component in various types of addiction: the analysis of the results of genome-wide association studies. Journal of the Belarusian State University. Ecology, 1, 61-75. Retrieved from https://journals.bsu.by/index.php/ecology/article/view/3343