A genome-wide analysis of liberal and conservative political attitudes

Hatemi, Peter K., Gillespie, Nathan A., Eaves, Lindon J., Maher, Brion S., Webb, Bradley T., Heath, Andrew C., Medland, Sarah E., Smyth, David C., Beeby, Harry N., Gordon, Scott D., Montgomery, Grant W., Zhu, Ghu, Byrne, Enda M. and Martin, Nicholas G. (2011) A genome-wide analysis of liberal and conservative political attitudes. Journal of Politics, 73 1: 271-285. doi:10.1017/S0022381610001015

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Author Hatemi, Peter K.
Gillespie, Nathan A.
Eaves, Lindon J.
Maher, Brion S.
Webb, Bradley T.
Heath, Andrew C.
Medland, Sarah E.
Smyth, David C.
Beeby, Harry N.
Gordon, Scott D.
Montgomery, Grant W.
Zhu, Ghu
Byrne, Enda M.
Martin, Nicholas G.
Title A genome-wide analysis of liberal and conservative political attitudes
Journal name Journal of Politics   Check publisher's open access policy
ISSN 0022-3816
Publication date 2011-01
Year available 2011
Sub-type Article (original research)
DOI 10.1017/S0022381610001015
Open Access Status File (Publisher version)
Volume 73
Issue 1
Start page 271
End page 285
Total pages 15
Place of publication Chicago, IL, United States
Publisher University of Chicago Press
Collection year 2012
Language eng
Abstract The assumption that the transmission of social behaviors and political preferences is purely cultural has been challenged repeatedly over the last 40 years by the combined evidence of large studies of adult twins and their relatives, adoption studies, and twins reared apart. Variance components and path modeling analyses using data from extended families quantified the overall genetic influence on political attitudes, but few studies have attempted to localize the parts of the genome which accounted for the heritability estimates found for political preferences. Here, we present the first genome-wide analysis of Conservative-Liberal attitudes from a sample of 13,000 respondents whose DNA was collected in conjunction with a 50-item sociopolitical attitude questionnaire. Several significant linkage peaks were identified and potential candidate genes discussed.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2012 Collection
School of Medicine Publications
School of Psychology Publications
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Citation counts: TR Web of Science Citation Count  Cited 34 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 43 times in Scopus Article | Citations
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Created: Mon, 25 Jul 2011, 14:04:35 EST by Matthew Lamb on behalf of School of Medicine