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Genetical genomic determinants of alcohol consumption in rats and humans

Overview of attention for article published in BMC Biology, October 2009
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Title
Genetical genomic determinants of alcohol consumption in rats and humans
Published in
BMC Biology, October 2009
DOI 10.1186/1741-7007-7-70
Pubmed ID
Authors

Boris Tabakoff, Laura Saba, Morton Printz, Pam Flodman, Colin Hodgkinson, David Goldman, George Koob, Heather N Richardson, Katerina Kechris, Richard L Bell, Norbert Hübner, Matthias Heinig, Michal Pravenec, Jonathan Mangion, Lucie Legault, Maurice Dongier, Katherine M Conigrave, John B Whitfield, John Saunders, Bridget Grant, Paula L Hoffman, WHO/ISBRA Study on State and Trait Markers of Alcoholism

Abstract

We have used a genetical genomic approach, in conjunction with phenotypic analysis of alcohol consumption, to identify candidate genes that predispose to varying levels of alcohol intake by HXB/BXH recombinant inbred rat strains. In addition, in two populations of humans, we assessed genetic polymorphisms associated with alcohol consumption using a custom genotyping array for 1,350 single nucleotide polymorphisms (SNPs). Our goal was to ascertain whether our approach, which relies on statistical and informatics techniques, and non-human animal models of alcohol drinking behavior, could inform interpretation of genetic association studies with human populations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
United States 1 1%
Spain 1 1%
Unknown 73 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 22%
Student > Ph. D. Student 16 21%
Student > Bachelor 7 9%
Professor > Associate Professor 7 9%
Student > Master 7 9%
Other 13 17%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 30%
Medicine and Dentistry 10 13%
Biochemistry, Genetics and Molecular Biology 7 9%
Neuroscience 6 8%
Psychology 5 6%
Other 9 12%
Unknown 17 22%