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Cited by 217

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Genetics of alcohol and tobacco use in humans

Open access
Tyndale, Rachel F·2003·Annals of Medicine

Abstract

The field of genetics holds great promise for furthering our understanding of the etiology of drug dependence and for identifying novel targets for treatment. Genetic studies utilizing twins and families have demonstrated a considerable role for genetics in nicotine and/or alcohol dependence. Risk for alcoholism or nicotine dependence is likely to be the result of a large number of genes, each contributing a small fraction of the overall risk. While this review will focus on studies in humans, many of the candidate genes for human nicotine and alcohol dependence listed here were originally postulated to be important, based on data from animal studies. The review will briefly summarize the results from twin and adoption studies that provide estimations of heritability, the results from chromosomal linkage studies that identify regions of chromosomes that may contain relevant genes, and the results of candidate gene studies. For each topic the data will be presented for nicotine dependence, alcohol dependence, and for nicotine and alcohol dependence together. In addition, each section will review briefly some of the confounding issues in the specific type of approach utilized.

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Metadata

Authors
Tyndale, R. F.
Venue
Annals of Medicine
Published
2003-01
Volume
35
Issue
2
Pages
94-121
ISSN
  • 0785-3890 (ISSN-L)
  • 1365-2060
OpenAlex
W1997942208
Cited by
217
References
12
FWCI
12.06
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Genetics of alcohol and tobacco use in humans. https://app.cochat.ai/papers/10.1080/07853890310010014
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Tyndale, R. F. (2003). Genetics of alcohol and tobacco use in humans. Annals of Medicine. https://doi.org/10.1080/07853890310010014

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.