scholarly journals Candidate Genes and Political Behavior

2012 ◽  
Vol 106 (1) ◽  
pp. 1-34 ◽  
Author(s):  
EVAN CHARNEY ◽  
WILLIAM ENGLISH

Political scientists are making increasing use of the methodologies of behavior genetics in an attempt to uncover whether or not political behavior is heritable, as well as the specific genotypes that might act as predisposing factors for—or predictors of—political “phenotypes.” Noteworthy among the latter are a series of candidate gene association studies in which researchers claim to have discovered one or two common genetic variants that predict such behaviors as voting and political orientation. We critically examine the candidate gene association study methodology by considering, as a representative example, the recent study by Fowler and Dawes according to which “two genes predict voter turnout.” In addition to demonstrating, on the basis of the data set employed by Fowler and Dawes, that two genes do not predict voter turnout, we consider a number of difficulties, both methodological and genetic, that beset the use of gene association studies, both candidate and genome-wide, in the social and behavioral sciences.

2012 ◽  
Vol 35 (5) ◽  
pp. 381-410 ◽  
Author(s):  
Evan Charney

AbstractMy response is divided into four sections: (1) is devoted to a potpourri of commentaries that are essentially in agreement with the substance of my target article (with one exception); in (2) I address, in response to one of the commentaries, several issues relating to the use of candidate gene association studies in behavior genetics (in particular those proposing a specific G×E interaction); in (3) I provide a detailed response to several defenses of the twin study methodology; and in (4) I conclude with several reflections on that methodology and the conception of human nature it has fostered.


Cephalalgia ◽  
2015 ◽  
Vol 36 (7) ◽  
pp. 604-614 ◽  
Author(s):  
Boukje de Vries ◽  
Verneri Anttila ◽  
Tobias Freilinger ◽  
Maija Wessman ◽  
Mari A Kaunisto ◽  
...  

Background Before the genome-wide association (GWA) era, many hypothesis-driven candidate gene association studies were performed that tested whether DNA variants in genes that had been selected based on prior knowledge about migraine pathophysiology were associated with migraine. Most studies involved small sample sets without robust replication, thereby making the risk of false-positive findings high. Genome-wide marker data of thousands of migraine patients and controls from the International Headache Genetics Consortium provide a unique opportunity to re-evaluate key findings from candidate gene association studies (and other non-GWA genetic studies) in a much larger data set. Methods We selected 21 genes from published candidate gene association studies and six additional genes from other non-GWA genetic studies in migraine. Single nucleotide polymorphisms (SNPs) in these genes, as well as in the regions 500 kb up- and downstream, were inspected in IHGC GWAS data from 5175 clinic-based migraine patients with and without aura and 13,972 controls. Results None of the SNPs in or near the 27 genes, including the SNPs that were previously found to be associated with migraine, reached the Bonferroni-corrected significance threshold; neither when analyzing all migraine patients together, nor when analyzing the migraine with and without aura patients or males and females separately. Conclusion The available migraine GWAS data provide no clear evidence for involvement of the previously reported most promising candidate genes in migraine.


2013 ◽  
Vol 107 (2) ◽  
pp. 375-381 ◽  
Author(s):  
KRISTEN DIANE DEPPE ◽  
SCOTT F. STOLTENBERG ◽  
KEVIN B. SMITH ◽  
JOHN R. HIBBING

Recently in this journal, Charney and English (2012) presented an extensive critique of candidate gene association studies using the widely noted Fowler and Dawes (2008) article on the relationship between self-reported voter turnout and both 5-HTT (serotonin transporter) and MAOA (monoamine oxidase A) as the driving example of their evaluation. Reanalysis of the Fowler and Dawes data by Charney and English, based on four critiques of candidate gene studies, led to the conclusion that neither polymorphism is related to variations in turnout. We add to this empirical debate by conducting an independent test using an original dataset containing 5-HTT data and two separate participation variables: self-reported participation and actual voting records. Our results confirm the original conclusions by Fowler and Dawes on 5-HTT, but also support several of the critiques suggested by Charney and English. We conclude by offering suggestions for the way candidate gene association studies should be interpreted by the discipline and processed by journal editors.


Sign in / Sign up

Export Citation Format

Share Document