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Genome-wide association scan for five major dimensions of personality.

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Title: Genome-wide association scan for five major dimensions of personality.
Authors: Terracciano, A., Sanna, S., Uda, M., Deiana, B., Usala, G., Busonero, F., Maschio, A., Scally, M., Patriciu, N., Chen, W.-M., Distel, M. A., Slagboom, E. P., Boomsma, D. I., Villafuerte, S., Śliwerska, E., Burmeister, M., Amin, N., Janssens, A. C. J. W., van Duijn, C. M., Schlessinger, D.
Source: Molecular Psychiatry. Jun2010, Vol. 15 Issue 6, p647-656. 10p. 1 Diagram, 1 Chart.
Subjects: Personality, Genetic disorders, Genetic polymorphisms, Personality disorders
Geographic Terms: Sardinia (Italy), Italy
Abstract: Personality traits are summarized by five broad dimensions with pervasive influences on major life outcomes, strong links to psychiatric disorders and clear heritable components. To identify genetic variants associated with each of the five dimensions of personality we performed a genome-wide association (GWA) scan of 3972 individuals from a genetically isolated population within Sardinia, Italy. On the basis of the analyses of 362 129 single-nucleotide polymorphisms we found several strong signals within or near genes previously implicated in psychiatric disorders. They include the association of neuroticism with SNAP25 (rs362584, P=5 × 10−5), extraversion with BDNF and two cadherin genes (CDH13 and CDH23; Ps<5 × 10−5), openness with CNTNAP2 (rs10251794, P=3 × 10−5), agreeableness with CLOCK (rs6832769, P=9 × 10−6) and conscientiousness with DYRK1A (rs2835731, P=3 × 10−5). Effect sizes were small (less than 1% of variance), and most failed to replicate in the follow-up independent samples (N up to 3903), though the association between agreeableness and CLOCK was supported in two of three replication samples (overall P=2 × 10−5). We infer that a large number of loci may influence personality traits and disorders, requiring larger sample sizes for the GWA approach to confidently identify associated genetic variants. [ABSTRACT FROM AUTHOR]
Copyright of Molecular Psychiatry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Molecular+Psychiatry%22&quot;&gt;Molecular Psychiatry&lt;/searchLink&gt;. Jun2010, Vol. 15 Issue 6, p647-656. 10p. 1 Diagram, 1 Chart.
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  Data: Personality traits are summarized by five broad dimensions with pervasive influences on major life outcomes, strong links to psychiatric disorders and clear heritable components. To identify genetic variants associated with each of the five dimensions of personality we performed a genome-wide association (GWA) scan of 3972 individuals from a genetically isolated population within Sardinia, Italy. On the basis of the analyses of 362 129 single-nucleotide polymorphisms we found several strong signals within or near genes previously implicated in psychiatric disorders. They include the association of neuroticism with SNAP25 (rs362584, P=5 &#215; 10−5), extraversion with BDNF and two cadherin genes (CDH13 and CDH23; Ps&lt;5 &#215; 10−5), openness with CNTNAP2 (rs10251794, P=3 &#215; 10−5), agreeableness with CLOCK (rs6832769, P=9 &#215; 10−6) and conscientiousness with DYRK1A (rs2835731, P=3 &#215; 10−5). Effect sizes were small (less than 1% of variance), and most failed to replicate in the follow-up independent samples (N up to 3903), though the association between agreeableness and CLOCK was supported in two of three replication samples (overall P=2 &#215; 10−5). We infer that a large number of loci may influence personality traits and disorders, requiring larger sample sizes for the GWA approach to confidently identify associated genetic variants. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Molecular Psychiatry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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