Literature DB >> 25288728

The high heritability of educational achievement reflects many genetically influenced traits, not just intelligence.

Eva Krapohl1, Kaili Rimfeld1, Nicholas G Shakeshaft1, Maciej Trzaskowski1, Andrew McMillan1, Jean-Baptiste Pingault2, Kathryn Asbury3, Nicole Harlaar4, Yulia Kovas5, Philip S Dale6, Robert Plomin7.   

Abstract

Because educational achievement at the end of compulsory schooling represents a major tipping point in life, understanding its causes and correlates is important for individual children, their families, and society. Here we identify the general ingredients of educational achievement using a multivariate design that goes beyond intelligence to consider a wide range of predictors, such as self-efficacy, personality, and behavior problems, to assess their independent and joint contributions to educational achievement. We use a genetically sensitive design to address the question of why educational achievement is so highly heritable. We focus on the results of a United Kingdom-wide examination, the General Certificate of Secondary Education (GCSE), which is administered at the end of compulsory education at age 16. GCSE scores were obtained for 13,306 twins at age 16, whom we also assessed contemporaneously on 83 scales that were condensed to nine broad psychological domains, including intelligence, self-efficacy, personality, well-being, and behavior problems. The mean of GCSE core subjects (English, mathematics, science) is more heritable (62%) than the nine predictor domains (35-58%). Each of the domains correlates significantly with GCSE results, and these correlations are largely mediated genetically. The main finding is that, although intelligence accounts for more of the heritability of GCSE than any other single domain, the other domains collectively account for about as much GCSE heritability as intelligence. Together with intelligence, these domains account for 75% of the heritability of GCSE. We conclude that the high heritability of educational achievement reflects many genetically influenced traits, not just intelligence.

Entities:  

Keywords:  academic achievement; behavioral genetics; general cognitive ability; personalized learning; twin studies

Mesh:

Year:  2014        PMID: 25288728      PMCID: PMC4210287          DOI: 10.1073/pnas.1408777111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  35 in total

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Journal:  Ann Hum Genet       Date:  1975-10       Impact factor: 1.670

3.  Genetic and environmental influences on academic achievement trajectories during adolescence.

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Journal:  Dev Psychol       Date:  2006-05

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Journal:  Behav Genet       Date:  1984-07       Impact factor: 2.805

5.  Education policy and the heritability of educational attainment.

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Journal:  Nature       Date:  1985 Apr 25-May 1       Impact factor: 49.962

6.  Further evidence for genetic influences on educational achievement.

Authors:  C E Gill; R Jardine; N G Martin
Journal:  Br J Educ Psychol       Date:  1985-11

7.  Childhood trajectories of inattention and hyperactivity and prediction of educational attainment in early adulthood: a 16-year longitudinal population-based study.

Authors:  Jean-Baptiste Pingault; Richard E Tremblay; Frank Vitaro; René Carbonneau; Christophe Genolini; Bruno Falissard; Sylvana M Côté
Journal:  Am J Psychiatry       Date:  2011-07-28       Impact factor: 18.112

8.  More than just IQ: school achievement is predicted by self-perceived abilities--but for genetic rather than environmental reasons.

Authors:  Corina U Greven; Nicole Harlaar; Yulia Kovas; Tomas Chamorro-Premuzic; Robert Plomin
Journal:  Psychol Sci       Date:  2009-05-15

9.  Achievement-Relevant Personality: Relations with the Big Five and Validation of an Efficient Instrument.

Authors:  Daniel A Briley; Matthew Domiteaux; Elliot M Tucker-Drob
Journal:  Learn Individ Differ       Date:  2014-05-01

10.  Understanding the science-learning environment: A genetically sensitive approach.

Authors:  Claire M A Haworth; Oliver S P Davis; Ken B Hanscombe; Yulia Kovas; Philip S Dale; Robert Plomin
Journal:  Learn Individ Differ       Date:  2013-02
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  68 in total

1.  Childhood social class and cognitive aging in the Swedish Adoption/Twin Study of Aging.

Authors:  Malin Ericsson; Cecilia Lundholm; Stefan Fors; Anna K Dahl Aslan; Catalina Zavala; Chandra A Reynolds; Nancy L Pedersen
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-19       Impact factor: 11.205

2.  Rare mutations and educational attainment.

Authors:  David Cesarini
Journal:  Nat Neurosci       Date:  2016-11-29       Impact factor: 24.884

3.  The Shared Genetic Basis of Educational Attainment and Cerebral Cortical Morphology.

Authors:  Tian Ge; Chia-Yen Chen; Alysa E Doyle; Richard Vettermann; Lauri J Tuominen; Daphne J Holt; Mert R Sabuncu; Jordan W Smoller
Journal:  Cereb Cortex       Date:  2019-07-22       Impact factor: 5.357

4.  Orderliness predicts academic performance: behavioural analysis on campus lifestyle.

Authors:  Yi Cao; Jian Gao; Defu Lian; Zhihai Rong; Jiatu Shi; Qing Wang; Yifan Wu; Huaxiu Yao; Tao Zhou
Journal:  J R Soc Interface       Date:  2018-09-19       Impact factor: 4.118

5.  Polygenic score for educational attainment captures DNA variants shared between personality traits and educational achievement.

Authors:  Emily Smith-Woolley; Saskia Selzam; Robert Plomin
Journal:  J Pers Soc Psychol       Date:  2019-03-28

6.  Unraveling genetic factors involved in intelligence, educational attainment and socioeconomic standing: what are the implications for childhood mental health care professionals?

Authors:  Maria Melchior; Johannes Hebebrand
Journal:  Eur Child Adolesc Psychiatry       Date:  2018-05       Impact factor: 4.785

7.  Genetic variation interacts with experience to determine interindividual differences in learned song.

Authors:  David G Mets; Michael S Brainard
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-26       Impact factor: 11.205

8.  Does the Inclusion of a Genome-Wide Polygenic Score Improve Early Risk Prediction for Later Language and Literacy Delay?

Authors:  Philip S Dale; Sophie von Stumm; Saskia Selzam; Marianna E Hayiou-Thomas
Journal:  J Speech Lang Hear Res       Date:  2020-04-28       Impact factor: 2.297

9.  Interpreting Behavior Genetic Models: Seven Developmental Processes to Understand.

Authors:  Daniel A Briley; Jonathan Livengood; Jaime Derringer; Elliot M Tucker-Drob; R Chris Fraley; Brent W Roberts
Journal:  Behav Genet       Date:  2018-11-22       Impact factor: 2.805

10.  The Intergenerational Transmission of Early Educational Advantages: New Results Based on an Adoption Design.

Authors:  Andrew Halpern-Manners; Helge Marahrens; Jenae M Neiderhiser; Misaki N Natsuaki; Daniel S Shaw; David Reiss; Leslie D Leve
Journal:  Res Soc Stratif Mobil       Date:  2020-03-09
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