No evidence for sex-linked or sex-limited gene expression influencing spatial orientation

Jardine, R; Martin, Nicholas

doi:10.1007/bf01080046

Cited by 24 publications

(5 citation statements)

References 23 publications

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“…Comparisons with the Australian Bureau of Statistics provide evidence that these groups are representative of the population in general with regard to education, socioeconomic status and social behaviors, as reported in earlier studies (Jardine and Martin 1984;Kendler et al 1995;Heath et al 1997;Whitfield et al 2005). Median age at participation of both cohorts combined was 34 years.…”

Section: Samplesmentioning

confidence: 68%

The Genetics of Voting: An Australian Twin Study

et al. 2007

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Previously we and others have shown evidence for genetic influences on political attitudes and sociodemographic indicators (Martin 1987; Posner et al. 1996; Truett et al. 1992; Eaves et al. 1999). However, the nature of the relationship between political attitudes, social indictors and voting behavior has not been investigated. While heritability estimates for social and political attitudes have been reported in previous research, the heritability for vote choice has not. Furthermore, if vote choice is heritable, it is unclear whether the heritable component can be accounted for through the genetic influence on related social and political traits, or if there exists a unique genetic component specific to voting behavior. In mailed surveys of adult Australian twins, we asked respondents to indicate their usual voting preference as well as attitudes on contemporary individual political items. When vote choice was dichotomized as Labor versus Conservative, twin correlations were r (mz) = 0.81 (1,661 pairs), and r (dz) = 0.69 (1,727 pairs) consistent with modest genetic influence (a (2) = 0.24). However, multivariate genetic analysis showed no unique genetic contribution to voting preference; rather, the genetic influence in vote choice could be explained by shared genetic influences in perceived social class, church attendance and certain key political attitude items.

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Section: Samplesmentioning

confidence: 68%

The Genetics of Voting: An Australian Twin Study

et al. 2007

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“…For X chromosome linkage analyses, we implemented a simple extension of the X-linked variance components model [27], in which an extra additive genetic variance component is modeled with the coefficient of relatedness (usually set to 1/2 in the autosomal case) corrected for the sexes of the siblings for each sib-pair combination. As for the autosomal additive polygenetic case, covariation among relatives due to additive X-linked variance arises because of alleles shared IBD.…”

Section: Methodsmentioning

confidence: 99%

Linkage Analysis of a Model Quantitative Trait in Humans: Finger Ridge Count Shows Significant Multivariate Linkage to 5q14.1

et al. 2007

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The finger ridge count (a measure of pattern size) is one of the most heritable complex traits studied in humans and has been considered a model human polygenic trait in quantitative genetic analysis. Here, we report the results of the first genome-wide linkage scan for finger ridge count in a sample of 2,114 offspring from 922 nuclear families. Both univariate linkage to the absolute ridge count (a sum of all the ridge counts on all ten fingers), and multivariate linkage analyses of the counts on individual fingers, were conducted. The multivariate analyses yielded significant linkage to 5q14.1 (Logarithm of odds [LOD] = 3.34, pointwise-empirical p-value = 0.00025) that was predominantly driven by linkage to the ring, index, and middle fingers. The strongest univariate linkage was to 1q42.2 (LOD = 2.04, point-wise p-value = 0.002, genome-wide p-value = 0.29). In summary, the combination of univariate and multivariate results was more informative than simple univariate analyses alone. Patterns of quantitative trait loci factor loadings consistent with developmental fields were observed, and the simple pleiotropic model underlying the absolute ridge count was not sufficient to characterize the interrelationships between the ridge counts of individual fingers.

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“…Jardine and Martin 1984;Craig et al 2004;Loat et al 2004). It is likely that we will soon understand whether qualitative or quantitative gender differences underpin complex political attitudes and behaviors.…”

Section: Genes Brains and Gendered Behaviormentioning

confidence: 97%

Genes, Brains and Gendered Behavior: Rethinking Power and Politics in Response to Condit, Liesen, and Vandermassen

Hannagan

2008

Sex Roles

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In response to the commentaries by Condit, Liesen, and Vandermassen, I argue that we lack a more nuanced understanding of women's political behavior (and therefore politics in general) because of the sustained barrier between the social and natural sciences, historical missteps, researcher bias, and perhaps an inclination to ask the wrong questions. By taking a Darwinian feminist approach to exploring gendered political behavior, and with the tools of behavior genetics and cognitive neuroscience, we can better understand the psychological and behavioral repertoires of men and women as well as predict political outcomes.

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No evidence for sex-linked or sex-limited gene expression influencing spatial orientation

Cited by 24 publications

References 23 publications

The Genetics of Voting: An Australian Twin Study

The Genetics of Voting: An Australian Twin Study

Linkage Analysis of a Model Quantitative Trait in Humans: Finger Ridge Count Shows Significant Multivariate Linkage to 5q14.1

Genes, Brains and Gendered Behavior: Rethinking Power and Politics in Response to Condit, Liesen, and Vandermassen

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