Literature DB >> 22302529

Genetic influences on four measures of executive functions and their covariation with general cognitive ability: the Older Australian Twins Study.

Teresa Lee1, Miriam A Mosing, Julie D Henry, Julian N Trollor, David Ames, Nicholas G Martin, Margaret J Wright, Perminder S Sachdev.   

Abstract

"Executive functions" (EF) is a multidimensional construct which encompasses many higher-order cognitive control operations, and is considered a potential mediator of age-associated changes in other cognitive domains. Here we examine the heritability of four measures of EF, and the genetic influences on their covariation with general cognitive abilities (GCA) from the Older Australian Twins Study. Participants included 117 pairs of monozygotic twins, 98 pairs of dizygotic twins, and 42 single twins, with a mean age of 71. Genetic modeling showed that additive genetic factors contributed to 59, 63,29, and 31% of the variance in the four measures: working memory, verbal fluency, response inhibition and cognitive flexibility, respectively. The phenotypic associations among the four EF measures were modest, which is in line with other evidence that EF is a multi-dimensional construct.All of the covariation between the EF measures was attributable to a common genetic factor. Similarly, all of the covariation between EF and General Cognitive Ability was explained by a common genetic factor, with no significant covariance due to environmental (E) factors. The genetic correlations between the measures were moderately high, suggesting that they may have common biological underpinnings. The genetic influence in the covariation of the EF measures and GCA also suggests that some aspects of EF and GCA share the same genes or same set of genes.

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Year:  2012        PMID: 22302529     DOI: 10.1007/s10519-012-9526-1

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


  20 in total

1.  Neuropsychological and dimensional behavioral trait profiles in Costa Rican ADHD sib pairs: Potential intermediate phenotypes for genetic studies.

Authors:  Viviana A Peskin; Anna Ordóñez; R Scott Mackin; Kevin Delucchi; Silvia Monge; James J McGough; Denise A Chavira; Monica Berrocal; Erika Cheung; Eduardo Fournier; Judith A Badner; Luis Diego Herrera; Carol A Mathews
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2015-03-31       Impact factor: 3.568

2.  Strong genetic overlap between executive functions and intelligence.

Authors:  Laura E Engelhardt; Frank D Mann; Daniel A Briley; Jessica A Church; K Paige Harden; Elliot M Tucker-Drob
Journal:  J Exp Psychol Gen       Date:  2016-06-30

3.  Genetic and Environmental Influences on Verbal Fluency in Middle Age: A Longitudinal Twin Study.

Authors:  Daniel E Gustavson; Matthew S Panizzon; Jeremy A Elman; Carol E Franz; Asad Beck; Chandra A Reynolds; Kristen C Jacobson; Hong Xian; Rosemary Toomey; Michael J Lyons; William S Kremen
Journal:  Behav Genet       Date:  2018-06-19       Impact factor: 2.805

4.  Genome-wide association study of cognitive flexibility assessed by the Wisconsin Card Sorting Test.

Authors:  Huiping Zhang; Hang Zhou; Todd Lencz; Lindsay A Farrer; Henry R Kranzler; Joel Gelernter
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2018-07       Impact factor: 3.568

5.  Household chaos as a context for intergenerational transmission of executive functioning.

Authors:  Alexis Brieant; Christopher J Holmes; Kirby Deater-Deckard; Brooks King-Casas; Jungmeen Kim-Spoon
Journal:  J Adolesc       Date:  2017-05-08

6.  Factor structure and aetiological architecture of the BRIEF: A twin study.

Authors:  Callie W Little; Jeanette Taylor; Allison Moltisanti; Chelsea Ennis; Sara A Hart; Chris Schatschneider
Journal:  J Neuropsychol       Date:  2015-09-09       Impact factor: 2.864

7.  GWAS for executive function and processing speed suggests involvement of the CADM2 gene.

Authors:  D A Bennett; I J Deary; M A Ikram; L J Launer; A L Fitzpatrick; S Seshadri; C M van Duijn; T H Mosley; C A Ibrahim-Verbaas; J Bressler; S Debette; M Schuur; A V Smith; J C Bis; G Davies; S Trompet; J A Smith; C Wolf; L B Chibnik; Y Liu; V Vitart; M Kirin; K Petrovic; O Polasek; L Zgaga; C Fawns-Ritchie; P Hoffmann; J Karjalainen; J Lahti; D J Llewellyn; C O Schmidt; K A Mather; V Chouraki; Q Sun; S M Resnick; L M Rose; C Oldmeadow; M Stewart; B H Smith; V Gudnason; Q Yang; S S Mirza; J W Jukema; P L deJager; T B Harris; D C Liewald; N Amin; L H Coker; O Stegle; O L Lopez; R Schmidt; A Teumer; I Ford; N Karbalai; J T Becker; M K Jonsdottir; R Au; Rsn Fehrmann; S Herms; M Nalls; W Zhao; S T Turner; K Yaffe; K Lohman; J C van Swieten; Slr Kardia; D S Knopman; W M Meeks; G Heiss; E G Holliday; P W Schofield; T Tanaka; D J Stott; J Wang; P Ridker; A J Gow; A Pattie; J M Starr; L J Hocking; N J Armstrong; S McLachlan; J M Shulman; L C Pilling; G Eiriksdottir; R J Scott; N A Kochan; A Palotie; Y-C Hsieh; J G Eriksson; A Penman; R F Gottesman; B A Oostra; L Yu; A L DeStefano; A Beiser; M Garcia; J I Rotter; M M Nöthen; A Hofman; P E Slagboom; Rgj Westendorp; B M Buckley; P A Wolf; A G Uitterlinden; B M Psaty; H J Grabe; S Bandinelli; D I Chasman; F Grodstein; K Räikkönen; J-C Lambert; D J Porteous; J F Price; P S Sachdev; L Ferrucci; J R Attia; I Rudan; C Hayward; A F Wright; J F Wilson; S Cichon; L Franke; H Schmidt; J Ding; Ajm de Craen; M Fornage
Journal:  Mol Psychiatry       Date:  2015-04-14       Impact factor: 15.992

8.  Polygenic risk for psychiatric disorders correlates with executive function in typical development.

Authors:  A J Schork; T T Brown; D J Hagler; W K Thompson; C-H Chen; A M Dale; T L Jernigan; N Akshoomoff
Journal:  Genes Brain Behav       Date:  2018-05-10       Impact factor: 3.449

9.  Genetic and environmental influences on individual differences in emotion regulation and its relation to working memory in toddlerhood.

Authors:  Manjie Wang; Kimberly J Saudino
Journal:  Emotion       Date:  2013-10-07

Review 10.  Unity and diversity of executive functions: Individual differences as a window on cognitive structure.

Authors:  Naomi P Friedman; Akira Miyake
Journal:  Cortex       Date:  2016-05-10       Impact factor: 4.027

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