Cited by 180Genetic Associations and EpidemiologySubstance Abuse Treatment and OutcomesNeurotransmitter Receptor Influence on Behavior

Recent advances in the genetic epidemiology and molecular genetics of substance use disorders

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Kendler, Kenneth S, Chen, Xiangning, Dick, Danielle, Maes, Hermine, Gillespie, Nathan, Neale, Michael C, Riley, Brien·2012·Nature Neuroscience

Abstract

This article reviews current advances in the genetics of substance use disorders (SUDs). Both genetic and environmental sources of risk are required to develop a complete picture of SUD etiology. Genetic sources of risk for SUDs are not highly substance specific in their effects. Genetic and environmental risks for SUDs typically do not only add together but also interact with each other over development. Risk gene identification for SUDs has been difficult, with one recent success in identifying nicotinic receptor variants that affect risk for nicotine dependence. The impact of genetic variants on SUD risk will individually be small. Although genetic epidemiologic methods are giving us an increasingly accurate map of broad causal pathways to SUDs, gene discovery will be needed to identify the specific biological systems. Identifying these risk genes and understanding their action will require large clinical samples, and interaction between these studies and work in model organisms.

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  • Twin studies show that 40-60% of the variance for substance use disorder is accounted for by shared and non-shared environment.

    “Twin studies have repeatedly demonstrated the magnitude of these effects, showing that somewhere between 40 and 60% of the variance for substance use disorder (SUD) is accounted for by shared and non-shared environment (Kendler et al., 2012).”

    From Assessment of culture and environment in the Adolescent Brain and Cognitive Development Study: Rationale, description of measures, and early data (2018) · cites this paper as Kendler et al., 2012

    The Introduction (page not available) reports that twin-study estimates attribute 40–70% of SUD risk variability to genetic differences, with estimates for most other substances in populations of European origin largely between 40% and 55%. This implies a substantial remaining non-genetic share, but the paper does not give the claimed 40–60% range for combined shared and non-shared environmental variance across SUDs. (LLM, conf=0.86)

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Research works printed but not linked: 2

  1. [57]Munafo MR Chromosome 15 genetic variants are associated with objective measures of tobacco exposure: implications for genetic and epidemiological studies J. Natl. Cancer Inst (in the press)
  2. [73]Reich T Genome-wide search for genes affecting the risk for alcohol dependence Am. J. Med. Genet 1998 81 207 215 9603606

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Authors
Kendler, K. S., Chen, X., Dick, D., Maes, H., Gillespie, N., Neale, M. C., & Riley, B.
Affiliations
Virginia Commonwealth University (US)
Corresponding author
Kendler, Kenneth S
Venue
Nature Neuroscience
Published
2012-01-26
Volume
15
Issue
2
Pages
181-189
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W1994285916
Cited by
179
References
87
Citations by year
2025: 5 · 2024: 5 · 2023: 8 · 2022: 15 · 2021: 4 · 2020: 34 · 2019: 13 · 2018: 11 · 2017: 18 · 2016: 20 · 2015: 19 · 2014: 12 · 2013: 8 · 2012: 5
FWCI
8.48
Type
journal article
Language
en
Open access
Locations
  • Nature Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute on Alcohol Abuse and Alcoholism (K02AA018755, AA-011408, AA 15416, R37AA011408, P20AA017828, R01AA011408, R01AA015416, AA017828, AA018755)
  • National Institute of Mental Health (MH084952)
  • National Institute on Drug Abuse (R01DA024413, DA030005, R21DA027070, DA027070, R01DA030005, K01DA019498, R00DA023549, K99DA023549, U01DA024413, R01DA025109, DA-019498, DA025109, DA-18673, DA022989, DA024413, R01DA018673, DA023549, R37DA018673)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
Keywords
substance use disorders, genetic epidemiology, molecular genetics, risk genes, gene-environment interaction, nicotine dependence, gene discovery
MeSH terms
Environment, Humans, Molecular Biology, Molecular Epidemiology, Risk Assessment, Substance-Related Disorders, Genetic Predisposition to Disease

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