Literature DB >> 24791031

Genetic and Environmental Influences of General Cognitive Ability: Is g a valid latent construct?

Matthew S Panizzon1, Eero Vuoksimaa2, Kelly M Spoon3, Kristen C Jacobson4, Michael J Lyons5, Carol E Franz1, Hong Xian6, Terrie Vasilopoulos4, William S Kremen7.   

Abstract

Despite an extensive literature, the "g" construct remains a point of debate. Different models explaining the observed relationships among cognitive tests make distinct assumptions about the role of g in relation to those tests and specific cognitive domains. Surprisingly, these different models and their corresponding assumptions are rarely tested against one another. In addition to the comparison of distinct models, a multivariate application of the twin design offers a unique opportunity to test whether there is support for g as a latent construct with its own genetic and environmental influences, or whether the relationships among cognitive tests are instead driven by independent genetic and environmental factors. Here we tested multiple distinct models of the relationships among cognitive tests utilizing data from the Vietnam Era Twin Study of Aging (VETSA), a study of middle-aged male twins. Results indicated that a hierarchical (higher-order) model with a latent g phenotype, as well as specific cognitive domains, was best supported by the data. The latent g factor was highly heritable (86%), and accounted for most, but not all, of the genetic effects in specific cognitive domains and elementary cognitive tests. By directly testing multiple competing models of the relationships among cognitive tests in a genetically-informative design, we are able to provide stronger support than in prior studies for g being a valid latent construct.

Entities:  

Year:  2014        PMID: 24791031      PMCID: PMC4002017          DOI: 10.1016/j.intell.2014.01.008

Source DB:  PubMed          Journal:  Intelligence        ISSN: 0160-2896


  43 in total

1.  Orthogonal higher order structure and confirmatory factor analysis of the French Wechsler Adult Intelligence Scale (WAIS-III).

Authors:  Philippe Golay; Thierry Lecerf
Journal:  Psychol Assess       Date:  2011-03

2.  Genes, environment, and time: the Vietnam Era Twin Study of Aging (VETSA).

Authors:  William S Kremen; Heather Thompson-Brenner; Yat-Ming J Leung; Michael D Grant; Carol E Franz; Seth A Eisen; Kristen C Jacobson; Corwin Boake; Michael J Lyons
Journal:  Twin Res Hum Genet       Date:  2006-12       Impact factor: 1.587

3.  A new lease of life for Thomson's bonds model of intelligence.

Authors:  David J Bartholomew; Ian J Deary; Martin Lawn
Journal:  Psychol Rev       Date:  2009-07       Impact factor: 8.934

4.  The Vietnam Era Twin (VET) Registry: ascertainment bias.

Authors:  J Goldberg; W True; S Eisen; W Henderson; C D Robinette
Journal:  Acta Genet Med Gemellol (Roma)       Date:  1987

5.  Inference about genetic correlations.

Authors:  G Carey
Journal:  Behav Genet       Date:  1988-05       Impact factor: 2.805

6.  A 35-year longitudinal assessment of cognition and midlife depression symptoms: the Vietnam Era Twin Study of Aging.

Authors:  Carol E Franz; Michael J Lyons; Robert O'Brien; Matthew S Panizzon; Kathleen Kim; Reshma Bhat; Michael D Grant; Rosemary Toomey; Seth Eisen; Hong Xian; William S Kremen
Journal:  Am J Geriatr Psychiatry       Date:  2011-06       Impact factor: 4.105

7.  Emergence of a Gene x socioeconomic status interaction on infant mental ability between 10 months and 2 years.

Authors:  Elliot M Tucker-Drob; Mijke Rhemtulla; K Paige Harden; Eric Turkheimer; David Fask
Journal:  Psychol Sci       Date:  2010-12-17

8.  Heritability of word recognition in middle-aged men varies as a function of parental education.

Authors:  William S Kremen; Kristen C Jacobson; Hong Xian; Seth A Eisen; Brian Waterman; Rosemary Toomey; Michael C Neale; Ming T Tsuang; Michael J Lyons
Journal:  Behav Genet       Date:  2005-07       Impact factor: 2.805

9.  OpenMx: An Open Source Extended Structural Equation Modeling Framework.

Authors:  Steven Boker; Michael Neale; Hermine Maes; Michael Wilde; Michael Spiegel; Timothy Brick; Jeffrey Spies; Ryne Estabrook; Sarah Kenny; Timothy Bates; Paras Mehta; John Fox
Journal:  Psychometrika       Date:  2011-04-01       Impact factor: 2.500

10.  Higher order factor structure of the WISC-IV in a clinical neuropsychological sample.

Authors:  Doug Bodin; Dustin A Pardini; Thomas G Burns; Abigail B Stevens
Journal:  Child Neuropsychol       Date:  2009-09       Impact factor: 2.500

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  19 in total

1.  Genetics and neuropsychology: A merger whose time has come.

Authors:  William S Kremen; Matthew S Panizzon; Tyrone D Cannon
Journal:  Neuropsychology       Date:  2016-01       Impact factor: 3.295

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 architecture of changes in episodic memory from middle to late middle age.

Authors:  Matthew S Panizzon; Michael C Neale; Anna R Docherty; Carol E Franz; Kristen C Jacobson; Rosemary Toomey; Hong Xian; Terrie Vasilopoulos; Brinda K Rana; Ruth McKenzie; Michael J Lyons; William S Kremen
Journal:  Psychol Aging       Date:  2015-05-04

4.  Consideration of cognitive variance components potentially solves Beauchamp's paradox.

Authors:  Michael A Woodley
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-04       Impact factor: 11.205

5.  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

6.  Coupled cognitive changes in adulthood: A meta-analysis.

Authors:  Elliot M Tucker-Drob; Andreas M Brandmaier; Ulman Lindenberger
Journal:  Psychol Bull       Date:  2019-01-24       Impact factor: 17.737

7.  Is bigger always better? The importance of cortical configuration with respect to cognitive ability.

Authors:  Eero Vuoksimaa; Matthew S Panizzon; Chi-Hua Chen; Mark Fiecas; Lisa T Eyler; Christine Fennema-Notestine; Donald J Hagler; Carol E Franz; Amy J Jak; Michael J Lyons; Michael C Neale; Daniel A Rinker; Wesley K Thompson; Ming T Tsuang; Anders M Dale; William S Kremen
Journal:  Neuroimage       Date:  2016-01-29       Impact factor: 6.556

8.  Distinct Regionalization Patterns of Cortical Morphology are Associated with Cognitive Performance Across Different Domains.

Authors:  C E Palmer; W Zhao; R Loughnan; J Zou; C C Fan; W K Thompson; A M Dale; T L Jernigan
Journal:  Cereb Cortex       Date:  2021-07-05       Impact factor: 5.357

9.  Top 10 Replicated Findings From Behavioral Genetics.

Authors:  Robert Plomin; John C DeFries; Valerie S Knopik; Jenae M Neiderhiser
Journal:  Perspect Psychol Sci       Date:  2016-01

10.  Independent evidence for an association between general cognitive ability and a genetic locus for educational attainment.

Authors:  Joey W Trampush; Todd Lencz; Emma Knowles; Gail Davies; Saurav Guha; Itsik Pe'er; David C Liewald; John M Starr; Srdjan Djurovic; Ingrid Melle; Kjetil Sundet; Andrea Christoforou; Ivar Reinvang; Semanti Mukherjee; Pamela DeRosse; Astri Lundervold; Vidar M Steen; Majnu John; Thomas Espeseth; Katri Räikkönen; Elisabeth Widen; Aarno Palotie; Johan G Eriksson; Ina Giegling; Bettina Konte; Masashi Ikeda; Panos Roussos; Stella Giakoumaki; Katherine E Burdick; Antony Payton; William Ollier; Mike Horan; Matthew Scult; Dwight Dickinson; Richard E Straub; Gary Donohoe; Derek Morris; Aiden Corvin; Michael Gill; Ahmad Hariri; Daniel R Weinberger; Neil Pendleton; Nakao Iwata; Ariel Darvasi; Panos Bitsios; Dan Rujescu; Jari Lahti; Stephanie Le Hellard; Matthew C Keller; Ole A Andreassen; Ian J Deary; David C Glahn; Anil K Malhotra
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2015-05-07       Impact factor: 3.568

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