Literature DB >> 29881783

Genetic influence on social outcomes during and after the Soviet era in Estonia.

Kaili Rimfeld1, Eva Krapohl2, Maciej Trzaskowski3, Jonathan R I Coleman2,4, Saskia Selzam2, Philip S Dale5, Tonu Esko6, Andres Metspalu6, Robert Plomin2.   

Abstract

The etiology of individual differences in educational attainment and occupational status includes genetic as well as environmental factors1-5 and can change as societies change3,6,7. The extent of genetic influence on these social outcomes can be viewed as an index of success in achieving meritocratic values of equality of opportunity by rewarding talent and hard work, which are to a large extent influenced by genetic factors, rather than rewarding environmentally driven privilege. To the extent that the end of the Soviet Union and the independence of Estonia led to an increase in meritocratic selection of individuals in education and occupation, genetic influence should be higher in the post-Soviet era than in the Soviet era. Here we confirmed this hypothesis: DNA differences (single-nucleotide polymorphisms, SNPs) explained twice as much variance in educational attainment and occupational status in the post-Soviet era compared to the Soviet era in both polygenic score analyses and SNP heritability analyses of 12 500 Estonians. This is the first demonstration of a change in the extent of genetic influence in the same population following a massive and abrupt social change - in this case, the shift from a communist to a capitalist society.

Entities:  

Year:  2018        PMID: 29881783      PMCID: PMC5986072          DOI: 10.1038/s41562-018-0332-5

Source DB:  PubMed          Journal:  Nat Hum Behav        ISSN: 2397-3374


  32 in total

1.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

2.  The Minnesota Twin Family Registry: some initial findings.

Authors:  D T Lykken; T J Bouchard; M McGue; A Tellegen
Journal:  Acta Genet Med Gemellol (Roma)       Date:  1990

3.  Improved whole-chromosome phasing for disease and population genetic studies.

Authors:  Olivier Delaneau; Jean-Francois Zagury; Jonathan Marchini
Journal:  Nat Methods       Date:  2013-01       Impact factor: 28.547

4.  Education policy and the heritability of educational attainment.

Authors:  A C Heath; K Berg; L J Eaves; M H Solaas; L A Corey; J Sundet; P Magnus; W E Nance
Journal:  Nature       Date:  1985 Apr 25-May 1       Impact factor: 49.962

5.  Cohort Profile: Estonian Biobank of the Estonian Genome Center, University of Tartu.

Authors:  Liis Leitsalu; Toomas Haller; Tõnu Esko; Mari-Liis Tammesoo; Helene Alavere; Harold Snieder; Markus Perola; Pauline C Ng; Reedik Mägi; Lili Milani; Krista Fischer; Andres Metspalu
Journal:  Int J Epidemiol       Date:  2014-02-11       Impact factor: 7.196

6.  The Genetics of Success: How Single-Nucleotide Polymorphisms Associated With Educational Attainment Relate to Life-Course Development.

Authors:  Daniel W Belsky; Terrie E Moffitt; David L Corcoran; Benjamin Domingue; HonaLee Harrington; Sean Hogan; Renate Houts; Sandhya Ramrakha; Karen Sugden; Benjamin S Williams; Richie Poulton; Avshalom Caspi
Journal:  Psychol Sci       Date:  2016-06-01

7.  Equality in Educational Policy and the Heritability of Educational Attainment.

Authors:  Lucía Colodro-Conde; Frühling Rijsdijk; María J Tornero-Gómez; Juan F Sánchez-Romera; Juan R Ordoñana
Journal:  PLoS One       Date:  2015-11-30       Impact factor: 3.240

8.  Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151).

Authors:  G Davies; R E Marioni; D C Liewald; W D Hill; S P Hagenaars; S E Harris; S J Ritchie; M Luciano; C Fawns-Ritchie; D Lyall; B Cullen; S R Cox; C Hayward; D J Porteous; J Evans; A M McIntosh; J Gallacher; N Craddock; J P Pell; D J Smith; C R Gale; I J Deary
Journal:  Mol Psychiatry       Date:  2016-04-05       Impact factor: 15.992

9.  Life-course pathways to psychological distress: a cohort study.

Authors:  Sophie von Stumm; Ian J Deary; Gareth Hagger-Johnson
Journal:  BMJ Open       Date:  2013-05-09       Impact factor: 2.692

10.  Molecular genetic contributions to socioeconomic status and intelligence.

Authors:  Riccardo E Marioni; Gail Davies; Caroline Hayward; Dave Liewald; Shona M Kerr; Archie Campbell; Michelle Luciano; Blair H Smith; Sandosh Padmanabhan; Lynne J Hocking; Nicholas D Hastie; Alan F Wright; David J Porteous; Peter M Visscher; Ian J Deary
Journal:  Intelligence       Date:  2014-05
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  16 in total

1.  Separating Measured Genetic and Environmental Effects: Evidence Linking Parental Genotype and Adopted Child Outcomes.

Authors:  Benjamin W Domingue; Jason Fletcher
Journal:  Behav Genet       Date:  2020-04-30       Impact factor: 2.805

2.  Variable prediction accuracy of polygenic scores within an ancestry group.

Authors:  Hakhamanesh Mostafavi; Arbel Harpak; Ipsita Agarwal; Dalton Conley; Jonathan K Pritchard; Molly Przeworski
Journal:  Elife       Date:  2020-01-30       Impact factor: 8.140

3.  Socioeconomic origin, future expectations, and educational achievement: A longitudinal three-generation study of the persistence of family advantage.

Authors:  Kaspar Burger; Jeylan T Mortimer
Journal:  Dev Psychol       Date:  2021-09

4.  Delayed tracking and inequality of opportunity: Gene-environment interactions in educational attainment.

Authors:  Antonie Knigge; Ineke Maas; Kim Stienstra; Eveline L de Zeeuw; Dorret I Boomsma
Journal:  NPJ Sci Learn       Date:  2022-05-04

Review 5.  Differential Relations of Parental Behavior to Children's Early Executive Function as a Function of Child Genotype: A Systematic Review.

Authors:  Daphne M Vrantsidis; Viktoria Wuest; Sandra A Wiebe
Journal:  Clin Child Fam Psychol Rev       Date:  2022-02-23

6.  Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income.

Authors:  W David Hill; Neil M Davies; Stuart J Ritchie; Nathan G Skene; Julien Bryois; Steven Bell; Emanuele Di Angelantonio; David J Roberts; Shen Xueyi; Gail Davies; David C M Liewald; David J Porteous; Caroline Hayward; Adam S Butterworth; Andrew M McIntosh; Catharine R Gale; Ian J Deary
Journal:  Nat Commun       Date:  2019-12-16       Impact factor: 14.919

7.  Morphometric traits predict educational attainment independently of socioeconomic background.

Authors:  Markus Valge; Richard Meitern; Peeter Hõrak
Journal:  BMC Public Health       Date:  2019-12-18       Impact factor: 3.295

8.  Genetic effects on educational attainment in Hungary.

Authors:  Péter P Ujma; Nóra Eszlári; András Millinghoffer; Bence Bruncsics; Dóra Török; Péter Petschner; Péter Antal; Bill Deakin; Gerome Breen; György Bagdy; Gabriella Juhász
Journal:  Brain Behav       Date:  2021-11-29       Impact factor: 2.708

Review 9.  Cognitive ability and education: How behavioural genetic research has advanced our knowledge and understanding of their association.

Authors:  Margherita Malanchini; Kaili Rimfeld; Andrea G Allegrini; Stuart J Ritchie; Robert Plomin
Journal:  Neurosci Biobehav Rev       Date:  2020-01-20       Impact factor: 8.989

Review 10.  Education and Cognitive Functioning Across the Life Span.

Authors:  Martin Lövdén; Laura Fratiglioni; M Maria Glymour; Ulman Lindenberger; Elliot M Tucker-Drob
Journal:  Psychol Sci Public Interest       Date:  2020-08
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