Literature DB >> 20072853

Genetic covariation between brain volumes and IQ, reading performance, and processing speed.

Rebecca S Betjemann1, Erin Phinney Johnson, Holly Barnard, Richard Boada, Christopher M Filley, Pauline A Filipek, Erik G Willcutt, John C DeFries, Bruce F Pennington.   

Abstract

Although there has been much interest in the relation between brain size and cognition, few studies have investigated this relation within a genetic framework and fewer still in non-adult samples. We analyzed the genetic and environmental covariance between structural MRI data from four brain regions (total brain volume, neocortex, white matter, and prefrontal cortex), and four cognitive measures (verbal IQ (VIQ), performance IQ (PIQ), reading ability, and processing speed), in a sample of 41 MZ twin pairs and 30 same-sex DZ twin pairs (mean age at cognitive test = 11.4 years; mean age at scan = 15.4 years). Multivariate Cholesky decompositions were performed with each brain volume measure entered first, followed by the four cognitive measures. Consistent with previous research, each brain and cognitive measure was found to be significantly heritable. The novel finding was the significant genetic but not environmental covariance between brain volumes and cognitive measures. Specifically, PIQ shared significant common genetic variance with all four measures of brain volume (r (g) = .58-.82). In contrast, VIQ shared significant genetic influence with neocortex volume only (r (g) = .58). Processing speed was significant with total brain volume (r (g) = .79), neocortex (r (g) = .64), and white matter (r (g) = .89), but not prefrontal cortex. The only brain measure to share genetic influence with reading was total brain volume (r (g) = .32), which also shared genetic influences with processing speed.

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Year:  2010        PMID: 20072853      PMCID: PMC3608477          DOI: 10.1007/s10519-009-9328-2

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  36 in total

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Journal:  Twin Res       Date:  2003-04

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Authors:  Simon E Fisher; John C DeFries
Journal:  Nat Rev Neurosci       Date:  2002-10       Impact factor: 34.870

5.  The role of speed of processing, rapid naming, and phonological awareness in reading achievement.

Authors:  Hugh W Catts; Matthew Gillispie; Laurence B Leonard; Robert V Kail; Carol A Miller
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6.  The genetic correlation between intelligence and speed of information processing.

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Journal:  Behav Genet       Date:  1991-07       Impact factor: 2.805

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Authors:  D N Kennedy; N Lange; N Makris; J Bates; J Meyer; V S Caviness
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8.  Neuropsychological analyses of comorbidity between reading disability and attention deficit hyperactivity disorder: in search of the common deficit.

Authors:  Erik G Willcutt; Bruce F Pennington; Richard K Olson; Nomita Chhabildas; Jacqueline Hulslander
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10.  Brain morphometry in reading-disabled twins.

Authors:  B F Pennington; P A Filipek; D Lefly; J Churchwell; D N Kennedy; J H Simon; C M Filley; A Galaburda; M Alarcon; J C DeFries
Journal:  Neurology       Date:  1999-09-11       Impact factor: 9.910

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  9 in total

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3.  Shared genetic influences on adolescent body mass index and brain structure: A voxel-based morphometry study in twins.

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Journal:  Neuroimage       Date:  2019-06-01       Impact factor: 6.556

4.  Child intellectual development in relation to cytokine levels in umbilical cord blood.

Authors:  Ondine S von Ehrenstein; Gila I Neta; William Andrews; Robert Goldenberg; Alice Goepfert; Jun Zhang
Journal:  Am J Epidemiol       Date:  2012-04-16       Impact factor: 4.897

5.  Of differing methods, disputed estimates and discordant interpretations: the meta-analytical multiverse of brain volume and IQ associations.

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6.  Genetic and environmental influences on neuroimaging phenotypes: a meta-analytical perspective on twin imaging studies.

Authors:  Gabriëlla A M Blokland; Greig I de Zubicaray; Katie L McMahon; Margaret J Wright
Journal:  Twin Res Hum Genet       Date:  2012-06       Impact factor: 1.587

7.  Structural Brain MRI Trait Polygenic Score Prediction of Cognitive Abilities.

Authors:  Michelle Luciano; Riccardo E Marioni; Maria Valdés Hernández; Susana Muñoz Maniega; Iona F Hamilton; Natalie A Royle; Ganesh Chauhan; Joshua C Bis; Stephanie Debette; Charles DeCarli; Myriam Fornage; Reinhold Schmidt; M Arfan Ikram; Lenore J Launer; Sudha Seshadri; Mark E Bastin; David J Porteous; Joanna Wardlaw; Ian J Deary
Journal:  Twin Res Hum Genet       Date:  2015-10-02       Impact factor: 1.587

8.  Differential brain development with low and high IQ in attention-deficit/hyperactivity disorder.

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9.  Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders.

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Journal:  Neuroimage Clin       Date:  2017-06-09       Impact factor: 4.881

  9 in total

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