Genome scan for the major dimensions of personality
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So you’re extraverted, conscientious, and neurotic. What difference does this actually make in your daily life? This is the question posed by Lived Day Analysis, first articulated in Barker and Wright’s (1951) in One Boy’s Life. Patient observers followed little Raymond Birch around and recorded his every move, down to which sock he put on first (Mehl, Gosling, and Pennebaker 2006). As part of its census, the Japanese Statistics Bureau equips a sample of its citizens with notebooks to record their daily time budgets (社会生活基本調査・生活時間編).Soma has lovingly visualized this data:
More high-tech research uses Electronically Activated Recorders (EAR), digital voice recorders or PDAs that sample sounds from your environment. The records are later analyzed to chart what the hell you spend your time doing. This can be compared with your personality to tell, for instance, that extraverted women really do spend more time in group conversation (Mehl et al. 2006). Such observational sampling is common in research on other animals but more difficult with humans. However, technology is finally catching up with our desire to collect this kind of data and may bend research back to thinking about personality in terms of behavior rather than in terms of adjectival traits (cf. Mischel 1968). or consider, Are Mexicans More or Less Sociable than Americans? we measured self-reported sociability using a personality questionnaire, and behavioral sociability using the Electroctronically Activated Recorder (EAR) in Mexican and American students. The results showed that Mexicans saw themselves as less sociable than Americans, but they behaved more sociably in their everyday lives.… Whereas Mexicans socialized more often in public environments and by interacting with a person who is immediately present, Americans socialized more in private environments and by interacting with remote persons. Mehl et al. (2006) Personality in Its Natural Habitat: Manifestations and Implicit Folk Theories of Personality in Daily Life. J Pers Soc Psychol 90. 862-877. doi:10.1037/0022-3514.90.5.862 Mischel, W. (1968). Personality and assessment. New York: John Wiley and Sons. Ramirezesparza et al. (2008) Are Mexicans More or Less Sociable than Americans? Insights from a Naturalistic Observation Study. Journal of Research in Personality. doi: 10.1016/j.jrp.2008.09.002
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in general, those genotypes that directly cause higher than average aggression in the focal individual also increase the aggressive response indirectly when expressed in the opponent.
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The associations of childhood intelligence and dependability with adult mortality were examined in 1,181 people who were representative of the Scottish nation. Participants were born in 1936 and were followed for mortality from 1968 through early 2003. Higher intelligence and greater dependability were independent, significant predictors of lower mortality…Children in the lower half of the distributions for intelligence and dependability were more than twice as likely to die compared with those who scored in the top half for both these measures.
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Paho Mann’s photographs of Junk Drawers & Medicine Cabinets “force the viewer to contend with the natural desire of humans to collect, categorize, and by doing so, manage to give clues about their personality and identity.”
Indeed: Sam Gosling’s personality psychology of everyday life reveals the physical manifestations of our personality. Your room, office, and desk are clues to your personality.
Gosling, S. D., Ko, S. J., Mannarelli, T., & Morris, M. E. (2002). A Room with a cue: Judgments of personality based on offices and bedrooms. Journal of Personality and Social Psychology 82, 379-398.
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We report the first genome-wide scan of adolescent personality. We conducted a genome-wide scan to detect linkage for measures of adolescent Psychoticism, Extraversion, Neuroticism, and Lie from the Junior Eysenck Personality Questionnaire. Data are based on 1,280 genotyped Australian adolescent twins and their siblings. The highest linkage peaks were found on chromosomes 16 and 19 for Neuroticism, on chromosomes 1, 7, 10, 13 m, and 18 for Psychoticism, and on chromosomes 2 and 3 for Extraversion.
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Despite sharing the same genes, identical twins demonstrate substantial variability in behavioral traits and in their risk for disease. Epigenetic factors–DNA and chromatin modifications that affect levels of gene expression without affecting the DNA sequence–are thought to be important in establishing this variability. Epigenetically-mediated differences in the levels of gene expression that are associated with individual variability traditionally are thought to occur only in a gene-specific manner. We challenge this idea by exploring the large-scale organizational patterns of gene expression in an epigenetic model of behavioral variability.To study the effects of epigenetic influences on behavioral variability, we examine gene expression in genetically identical mice. Using a novel approach to microarray analysis, we show that variability in the large-scale organization of gene expression levels, rather than differences in the expression levels of specific genes, is associated with individual differences in behavior. Specifically, increased activity in the open field is associated with increased variance of log-transformed measures of gene expression in the hippocampus, a brain region involved in open field activity.
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Along the lines of mycrocosm, DAYTUM brings Nicholas Feltron’s visual style to the world of micro-infographics.
Both tools are worth playing with for drafting lifecharts. DAYTUM, the prettier of the two, relies on too many mouse clicks for data entry. Mycrocosm’s text-based data capture is quicker but is not robust against typos. What both tools really need is an API so that we can pull our data into more brawny statistics packages. Many Eyes has been pushing the goal of data democratization for several years. Many Eyes is attempting to crush much larger data sets than the two micro sites but still ultimately relies on our own visual competencies. Plotting data is essential. Essential but only the first step (although as readers know some folks skip even this step). Many Eyes may guide you nicely from data to visualization, but it does not help you to conclude anything beyond what your eyes tell you. Why don’t we demand more analytic oomph from these tools? I studied statistics in high school but it did not stick. It was not until graduate school that I found a use for statistics. This is wrong. Undergraduates in my department are required to take statistics but most of them (according to the professors) never use it after they graduate. This is sad. Everyone having a basic literacy in statistics might not solve any problems, but it is damn worth a try.
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