Multivariate Genetic Analysis of Brain Structure in an Extended Twin Design.
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| Title: | Multivariate Genetic Analysis of Brain Structure in an Extended Twin Design. |
|---|---|
| Authors: | Posthuma, D., de Geus, E.J.C., Neale, M.C., Hulshoff Pol, H.E., Baaré, W.E.C., Kahn, R.S., Boomsma, D. |
| Source: | Behavior Genetics. Jul2000, Vol. 30 Issue 4, p311. 9p. |
| Subjects: | Brain, Twins, Behavior genetics, Phenotypes |
| Abstract: | The hunt for genes influencing behavior may be aided by the study of intermediate phenotypes for several reasons. First, intermediate phenotypes may be influenced by only a few genes, which facilitates their detection. Second, many intermediate phenotypes can be measured on a continuous quantitative scale and thus can be assessed in affected and unaffected individuals. Continuous measures increase the statistical power to detect genetic effects (Neale et al., 1994), and allow studies to be designed to collect data from informative subjects such as extreme concordant or discordant pairs. Intermediate phenotypes for discrete traits, such as psychiatric disorders, can be neurotransmitter levels, brain function, or structure. In this paper we conduct a multivariate analysis of data from 111 twin pairs and 34 additional siblings on cerebellar volume, intracranial space, and body height. The analysis is carried out on the raw data and specifies a model for the mean and the covariance structure. Results suggest that cerebellar volume and intracranial space vary with age and sex. Brain volumes tend to decrease slightly with age, and males generally have a larger brain volume than females. The remaining phenotypic variance of cerebellar volume is largely genetic (88%). These genetic factors partly overlap with the genetic factors that explain variance in intracranial space and body height. The applied method is presented as a general approach for the analysis of intermediate phenotypes in which the effects of correlated variables on the observed scores are modeled through multivariate analysis. [ABSTRACT FROM AUTHOR] |
| Copyright of Behavior Genetics 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.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 11304872 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multivariate Genetic Analysis of Brain Structure in an Extended Twin Design. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Posthuma%2C+D%2E%22">Posthuma, D.</searchLink><br /><searchLink fieldCode="AR" term="%22de+Geus%2C+E%2EJ%2EC%2E%22">de Geus, E.J.C.</searchLink><br /><searchLink fieldCode="AR" term="%22Neale%2C+M%2EC%2E%22">Neale, M.C.</searchLink><br /><searchLink fieldCode="AR" term="%22Hulshoff+Pol%2C+H%2EE%2E%22">Hulshoff Pol, H.E.</searchLink><br /><searchLink fieldCode="AR" term="%22Baaré%2C+W%2EE%2EC%2E%22">Baaré, W.E.C.</searchLink><br /><searchLink fieldCode="AR" term="%22Kahn%2C+R%2ES%2E%22">Kahn, R.S.</searchLink><br /><searchLink fieldCode="AR" term="%22Boomsma%2C+D%2E%22">Boomsma, D.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Behavior+Genetics%22">Behavior Genetics</searchLink>. Jul2000, Vol. 30 Issue 4, p311. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Brain%22">Brain</searchLink><br /><searchLink fieldCode="DE" term="%22Twins%22">Twins</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+genetics%22">Behavior genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Phenotypes%22">Phenotypes</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The hunt for genes influencing behavior may be aided by the study of intermediate phenotypes for several reasons. First, intermediate phenotypes may be influenced by only a few genes, which facilitates their detection. Second, many intermediate phenotypes can be measured on a continuous quantitative scale and thus can be assessed in affected and unaffected individuals. Continuous measures increase the statistical power to detect genetic effects (Neale et al., 1994), and allow studies to be designed to collect data from informative subjects such as extreme concordant or discordant pairs. Intermediate phenotypes for discrete traits, such as psychiatric disorders, can be neurotransmitter levels, brain function, or structure. In this paper we conduct a multivariate analysis of data from 111 twin pairs and 34 additional siblings on cerebellar volume, intracranial space, and body height. The analysis is carried out on the raw data and specifies a model for the mean and the covariance structure. Results suggest that cerebellar volume and intracranial space vary with age and sex. Brain volumes tend to decrease slightly with age, and males generally have a larger brain volume than females. The remaining phenotypic variance of cerebellar volume is largely genetic (88%). These genetic factors partly overlap with the genetic factors that explain variance in intracranial space and body height. The applied method is presented as a general approach for the analysis of intermediate phenotypes in which the effects of correlated variables on the observed scores are modeled through multivariate analysis. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Behavior Genetics 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.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=11304872 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1023/A:1026501501434 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 311 Subjects: – SubjectFull: Brain Type: general – SubjectFull: Twins Type: general – SubjectFull: Behavior genetics Type: general – SubjectFull: Phenotypes Type: general Titles: – TitleFull: Multivariate Genetic Analysis of Brain Structure in an Extended Twin Design. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Posthuma, D. – PersonEntity: Name: NameFull: de Geus, E.J.C. – PersonEntity: Name: NameFull: Neale, M.C. – PersonEntity: Name: NameFull: Hulshoff Pol, H.E. – PersonEntity: Name: NameFull: Baaré, W.E.C. – PersonEntity: Name: NameFull: Kahn, R.S. – PersonEntity: Name: NameFull: Boomsma, D. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2000 Type: published Y: 2000 Identifiers: – Type: issn-print Value: 00018244 Numbering: – Type: volume Value: 30 – Type: issue Value: 4 Titles: – TitleFull: Behavior Genetics Type: main |
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