Literature DB >> 12723999

Genetic correlations between brain volumes and the WAIS-III dimensions of verbal comprehension, working memory, perceptual organization, and processing speed.

Daniëlle Posthuma1, Wim F C Baaré, Hilleke E Hulshoff Pol, René S Kahn, Dorret I Boomsma, Eco J C De Geus.   

Abstract

We recently showed that the correlation of gray and white matter volume with full scale IQ and the Working Memory dimension are completely mediated by common genetic factors (Posthuma et al., 2002). Here we examine whether the other WAIS III dimensions (Verbal Comprehension, Perceptual Organization, Processing Speed) are also related to gray and white matter volume, and whether any of the dimensions are related to cerebellar volume. Two overlapping samples provided 135 subjects from 60 extended twin families for whom both MRI scans and WAIS III data were available. All three brain volumes are related to Working Memory capacity (r = 0.27). This phenotypic correlation is completely due to a common underlying genetic factor. Processing Speed was genetically related to white matter volume (r(g) = 0.39). Perceptual Organization was both genetically (r(g) = 0.39) and environmentally (r(e) = -0.71) related to cerebellar volume. Verbal Comprehension was not related to any of the three brain volumes. It is concluded that brain volumes are genetically related to intelligence which suggests that genes that influence brain volume may also be important for intelligence. It is also noted however, that the direction of causation (i.e., do genes influence brain volume which in turn influences intelligence, or alternatively, do genes influence intelligence which in turn influences brain volume), or the presence or absence of pleiotropy has not been resolved yet.

Entities:  

Mesh:

Year:  2003        PMID: 12723999     DOI: 10.1375/136905203321536254

Source DB:  PubMed          Journal:  Twin Res        ISSN: 1369-0523


  40 in total

1.  Cerebellar vermis size and cognitive ability in community-dwelling elderly men.

Authors:  Thomas D Miller; Karen J Ferguson; Louise M Reid; Joanna M Wardlaw; John M Starr; Jonathan R Seckl; Ian J Deary; Alasdair M J Maclullich
Journal:  Cerebellum       Date:  2013-02       Impact factor: 3.847

2.  Choice reaction time performance correlates with diffusion anisotropy in white matter pathways supporting visuospatial attention.

Authors:  David S Tuch; David H Salat; Jonathan J Wisco; Alexandra K Zaleta; Nathanael D Hevelone; H Diana Rosas
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-15       Impact factor: 11.205

Review 3.  Molecular genetics of addiction vulnerability.

Authors:  George R Uhl
Journal:  NeuroRx       Date:  2006-07

Review 4.  Review of twin and family studies on neuroanatomic phenotypes and typical neurodevelopment.

Authors:  J Eric Schmitt; Lisa T Eyler; Jay N Giedd; William S Kremen; Kenneth S Kendler; Michael C Neale
Journal:  Twin Res Hum Genet       Date:  2007-10       Impact factor: 1.587

Review 5.  Genetic foundations of human intelligence.

Authors:  Ian J Deary; W Johnson; L M Houlihan
Journal:  Hum Genet       Date:  2009-03-18       Impact factor: 4.132

6.  Genes contributing to subcortical volumes and intellectual ability implicate the thalamus.

Authors:  Marc M Bohlken; Rachel M Brouwer; René C W Mandl; Neeltje E M van Haren; Rachel G H Brans; G Caroline M van Baal; Eco J C de Geus; Dorret I Boomsma; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2013-09-13       Impact factor: 5.038

7.  A Polygenic Score for Higher Educational Attainment is Associated with Larger Brains.

Authors:  Maxwell L Elliott; Daniel W Belsky; Kevin Anderson; David L Corcoran; Tian Ge; Annchen Knodt; Joseph A Prinz; Karen Sugden; Benjamin Williams; David Ireland; Richie Poulton; Avshalom Caspi; Avram Holmes; Terrie Moffitt; Ahmad R Hariri
Journal:  Cereb Cortex       Date:  2019-07-22       Impact factor: 5.357

8.  Distinct genetic influences on cortical surface area and cortical thickness.

Authors:  Matthew S Panizzon; Christine Fennema-Notestine; Lisa T Eyler; Terry L Jernigan; Elizabeth Prom-Wormley; Michael Neale; Kristen Jacobson; Michael J Lyons; Michael D Grant; Carol E Franz; Hong Xian; Ming Tsuang; Bruce Fischl; Larry Seidman; Anders Dale; William S Kremen
Journal:  Cereb Cortex       Date:  2009-03-18       Impact factor: 5.357

9.  BRAIN MYELINATION IN PREVALENT NEUROPSYCHIATRIC DEVELOPMENTAL DISORDERS: PRIMARY AND COMORBID ADDICTION.

Authors:  George Bartzokis
Journal:  Adolesc Psychiatry       Date:  2005

Review 10.  Molecular genetics of addiction and related heritable phenotypes: genome-wide association approaches identify "connectivity constellation" and drug target genes with pleiotropic effects.

Authors:  George R Uhl; Tomas Drgon; Catherine Johnson; Chuan-Yun Li; Carlo Contoreggi; Judith Hess; Daniel Naiman; Qing-Rong Liu
Journal:  Ann N Y Acad Sci       Date:  2008-10       Impact factor: 5.691

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.