Genetic variation associated with differential educational attainment in adults has anticipated associations with school performance in children

PLoS ONE

Volumn 9, Issue 7, 2014, Pages

  Ward, Mary E ^a   McMahon, George ^a   St Pourcain, Beate ^a,b   Evans, David M ^a,c   Rietveld, Cornelius A ^d,e   Benjamin, Daniel J ^f   Koellinger, Philipp D ^d,e,g   Cesarini, David ^h,i,j   Smith, George Davey ^a   Timpson, Nicholas J ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

^c UNIVERSITY OF QUEENSLAND   (Australia)

^d ERASMUS UNIVERSITY ROTTERDAM   (Netherlands)

^e ERASMUS MEDICAL CENTER   (Netherlands)

^f Department of Obstetrics Gynecology   (United States)

^g UNIVERSITY OF AMSTERDAM   (Netherlands)

^h NEW YORK UNIVERSITY   (United States)

ⁱ NEW YORK UNIVERSITY ABU DHABI   (United Arab Emirates)

^j RESEARCH INSTITUTE OF INDUSTRIAL ECONOMICS IFN   (Sweden)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ACADEMIC ACHIEVEMENT; ADULT; ARTICLE; CONTROLLED STUDY; EDUCATION PROGRAM; EDUCATIONAL ATTAINMENT; EDUCATIONAL STATUS; ENGLISH LANGUAGE; FEMALE; GENETIC ASSOCIATION; GENETIC VARIABILITY; HUMAN; LONGITUDINAL STUDY; MALE; MATHEMATICS; POPULATION STRUCTURE; QUANTITATIVE TRAIT; SCORING SYSTEM; SEX DIFFERENCE; SINGLE NUCLEOTIDE POLYMORPHISM; ADOLESCENT; CHILD; GENETIC ASSOCIATION STUDY; GENETICS; GENOME-WIDE ASSOCIATION STUDY; INTELLIGENCE; INTELLIGENCE TEST; LEARNING; PRESCHOOL CHILD;

ADOLESCENT; ADULT; CHILD; CHILD, PRESCHOOL; EDUCATIONAL STATUS; FEMALE; GENETIC ASSOCIATION STUDIES; GENOME-WIDE ASSOCIATION STUDY; HUMANS; INTELLIGENCE; INTELLIGENCE TESTS; LEARNING; LONGITUDINAL STUDIES; MALE; MATHEMATICS; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84904480118     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0100248     Document Type: Article

References (29)

1. Cesarini D, Dawes CT, Johannesson M, Lichtenstein P, Wallace B (2009) Genetic Variation in Preferences for Giving and Risk Taking. The Quarterly Journal of Economics 124: 809-842.
2. Benjamin DJ, Cesarini D, van der Loos MJ, Dawes CT, Koellinger PD, et al. (2012) The genetic architecture of economic and political preferences. Proc Natl Acad Sci U S A 109: 8026-8031.
3. Rietveld CA, Medland SE, Derringer J, Yang J, Esko T, et al. (2013) Supplementary Materials for GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science 340: 1467-1471. Available: http://www.sciencemag.org/content/suppl/2013/05/29/science.1235488. DC1/Rietveld.SM.revision.2.pdf. Accessed November 13 2013.
4. Shakeshaft NG, Trzaskowski M, McMillan A, Rimfeld K, Krapohl E, et al. (2013) Strong genetic influence on a UK nationwide test of educational achievement at the end of compulsory education at age 16. PLoS One 8: e80341.
5. Bartels M, Rietveld MJ, Van Baal GC, Boomsma DI (2002) Heritability of educational achievement in 12-year-olds and the overlap with cognitive ability. Twin Res 5: 544-553. (Pubitemid 36014653)
6. Miller P, Mulvey C, Martin N (2001) Genetic and environmental contributions to educational attainment in Australia. Economics of Education Review 20: 211-224.
7. Ioannidis JP (2005) Why most published research findings are false. PLoS Med 2: e124.
8. Colhoun HM, McKeigue PM, Davey Smith G (2003) Problems of reporting genetic associations with complex outcomes. Lancet 361: 865-872. (Pubitemid 36331853)
9. Rietveld CA, Medland SE, Derringer J, Yang J, Esko T, et al. (2013) GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science 340: 1467-1471.
10. Lango Allen H, Estrada K, Lettre G, Berndt SI, Weedon MN, et al. (2010) Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467: 832-838.
11. Speliotes EK, Willer CJ, Berndt SI, Monda KL, Thorleifsson G, et al. (2010) Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42: 937-948.
12. Yang J, Benyamin B, McEvoy BP, Gordon S, Henders AK, et al. (2010) Common SNPs explain a large proportion of the heritability for human height. Nat Genet 42: 565-569.
13. Li Y, Willer CJ, Ding J, Scheet P, Abecasis GR (2010) MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes. Genet Epidemiol 34: 816-834.
14. Taubman P (1976) The Determinants of Earnings: Genetics, Family, and Other Environments: A Study of White Male Twins. The American Economic Review 66: 858-870.
15. Mackenbach JP, Stirbu I, Roskam AJ, Schaap MM, Menvielle G, et al. (2008) Socioeconomic inequalities in health in 22 European countries. N Engl J Med 358: 2468-2481. (Pubitemid 351793020)
16. Ross CE, Wu C-l (1995) The Links Between Education and Health. American Sociological Review 60: 719-745. (Pubitemid 26466652)
17. Johnson W, Kyvik KO, Mortensen EL, Skytthe A, Batty GD, et al. (2011) Does education confer a culture of healthy behavior? Smoking and drinking patterns in Danish twins. Am J Epidemiol 173: 55-63.
18. Branigan AR, McCallum KJ, Freese J (2013) Variation in the Heritability of Educational Attainment: An International Meta-Analysis. Social Forces 92: 109-140.
19. Zuk O, Hechter E, Sunyaev SR, Lander ES (2012) The mystery of missing heritability: Genetic interactions create phantom heritability. Proc Natl Acad Sci U S A 109: 1193-1198.
20. UNESCO Institute for Statistics, International Standard Classification of Education (UNESCO Institute for Statistics, Montreal, 2006).
21. de Moor MH, Costa PT, Terracciano A, Krueger RF, de Geus EJ, et al. (2012) Meta-analysis of genome-wide association studies for personality. Mol Psychiatry 17: 337-349.
22. Benyamin B, Pourcain B, Davis OS, Davies G, Hansell NK, et al. (2014) Childhood intelligence is heritable, highly polygenic and associated with FNBP1L. Mol Psychiatry 19: 253-258.
23. Boyd A, Golding J, Macleod J, Lawlor DA, Fraser A, et al. (2013) Cohort Profile: the 'children of the 90s'-the index offspring of the Avon Longitudinal Study of Parents and Children. Int J Epidemiol 42: 111-127.
24. Fraser A, Macdonald-Wallis C, Tilling K, Boyd A, Golding J, et al. (2013) Cohort Profile: the Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort. Int J Epidemiol 42: 97-110.
25. Major reforms to school accountability including an end to compulsory national tests for fourteen year olds. Available: http://webarchive. nationalarchives.gov.uk/20080804135800/http://www.dcsf.gov.uk/pns/DisplayPN.cgi? pn-id =2008-0229. Accessed July 2 2013.
26. National curriculum assessment overview. Available: http://webarchive. nationalarchives.gov.uk/20080804135800/http://naa.org.uk/naa-19701.aspx. Accessed July 2 2013.
27. The national curriculum. Available: https://www.gov.uk/national- curriculum/overview. Accessed November 6 2013.
28. Levǎcić R, Jenkins A, Vignoles A, Steele F, Allen R (2005) Estimating the Relationship Between School Resources and Pupil Attainment at Key Stage 3. DFES Research Report RR679. London: Department for Education and Skills.
29. Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, et al. (2006) Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet 38: 904-909. (Pubitemid 44141658)