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

Psychological Science

Volumn 27, Issue 7, 2016, Pages 957-972

  Belsky, Daniel W ^a,b   Moffitt, Terrie E ^a,b,c   Corcoran, David L ^b   Domingue, Benjamin ^d   Harrington, HonaLee ^b   Hogan, Sean ^e   Houts, Renate ^b   Ramrakha, Sandhya ^e   Sugden, Karen ^b   Williams, Benjamin S ^b   Poulton, Richie ^e   Caspi, Avshalom ^a,b,c  

^a DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b DUKE UNIVERSITY   (United States)

^c KING'S COLLEGE LONDON   (United Kingdom)

^d STANFORD UNIVERSITY   (United States)

^e UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

adult development; behavior genetics; genetics; intelligence; personality

Indexed keywords

ADULT; EDUCATIONAL STATUS; FEMALE; GENETICS; GENOME-WIDE ASSOCIATION STUDY; HUMAN; HUMAN DEVELOPMENT; INTELLIGENCE; LONGITUDINAL STUDY; MALE; MULTIFACTORIAL INHERITANCE; NEW ZEALAND; PHYSIOLOGY; SINGLE NUCLEOTIDE POLYMORPHISM; SOCIAL CLASS;

ADULT; EDUCATIONAL STATUS; FEMALE; GENOME-WIDE ASSOCIATION STUDY; HUMAN DEVELOPMENT; HUMANS; INTELLIGENCE; LONGITUDINAL STUDIES; MALE; MULTIFACTORIAL INHERITANCE; NEW ZEALAND; POLYMORPHISM, SINGLE NUCLEOTIDE; SOCIAL CLASS;

EID: 84978481238     PISSN: 09567976     EISSN: 14679280     Source Type: Journal    
DOI: 10.1177/0956797616643070     Document Type: Article

References (48)

1. 1000 Genomes Project. (2016). 1000 Genomes project data. Retrieved from http://www.1000genomes.org/
2. R.M.BaronD.A.Kenny (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182. doi:10.1037/0022-3514.51.6.1173
3. D.W.BelskyT.E.MoffittA.Caspi (2013). Genetics in population health science: Strategies and opportunities. American Journal of Public Health, 103(Suppl. 1), S73–S83. doi:10.2105/AJPH.2012.301139
4. R.BreenJ.O.Jonsson (2005). Inequality of opportunity in comparative perspective: Recent research on educational attainment and social mobility. Annual Review of Sociology, 31, 223–243. doi:10.1146/annurev.soc.31.041304.122232
5. R.BreenL.Salazar (2011). Educational assortative mating and earnings inequality in the United States. American Journal of Sociology, 117, 808–843. doi:10.1086/661778
6. A.CaseA.FertigC.Paxson (2005). The lasting impact of childhood health and circumstance. Journal of Health Economics, 24, 365–389. doi:10.1016/j.jhealeco.2004.09.008
7. A.CaseC.Paxson (2008). Stature and status: Height, ability, and labor market outcomes. Journal of Political Economy, 116, 499–532. doi:10.1086/589524
8. C.F.ChabrisJ.J.LeeD.CesariniD.J.BenjaminD.I.Laibson (2015). The fourth law of behavior genetics. Current Directions in Psychological Science, 24, 304–312. doi:10.1177/0963721415580430
9. D.ConleyB.DomingueD.CesariniC.T.DawesC.A.RietveldJ.Boardman (2015). Is the effect of parental education on offspring biased or moderated by genotype?Sociological Science, 2, 82–105. doi:10.15195/v2.a6
10. E.L.de ZeeuwC.E.M.van BeijsterveldtT.J.GlasnerM.BartelsE.A.EhliG.E.DaviesD.I.. Boomsma (2014). Polygenic scores associated with educational attainment in adults predict educational achievement and ADHD symptoms in children. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 165B, 510–520. doi:10.1002/ajmg.b.32254
11. B.W.DomingueD.W.BelskyD.ConleyK.M.HarrisJ.D.Boardman (2015). Polygenic influence on educational attainment. AERA Open, 1(3), 1–13. doi:10.1177/2332858415599972
12. F.Dudbridge (2013). Power and predictive accuracy of polygenic risk scores. PLoS Genetics, 9(3), Article e1003348. doi:10.1371/journal.pgen.1003348
13. L.Dunn (1965). The Peabody Picture Vocabulary Test. Minneapolis, MN: American Guidance Service.
14. J.EuesdenC.M.LewisP.F.O’Reilly (2015). PRSice: Polygenic Risk Score software. Bioinformatics, 31, 1466–1468. doi:10.1093/bioinformatics/btu848
15. A.N.FirkowskaA.OstrowskaM.SokolowskaZ.SteinM.SusserI.Wald (1978). Cognitive development and social policy. Science, 200, 1357–1362. doi:10.1126/science.663616
16. J.J.Heckman (2006). Skill formation and the economics of investing in disadvantaged children. Science, 312, 1900–1902. doi:10.1126/science.1128898
17. R.M.Henig (2015, December11). Are there genes for intelligence—And is it racist to ask? Retrieved from http://news.nationalgeographic.com/2015/12/151211-genetics-intelligence-racism-science/
18. B.N.HowieP.DonnellyJ.Marchini (2009). A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. PLoS Genetics5(6), Article e1000529. doi:10.1371/journal.pgen.1000529
19. M.J.KhouryJ.P.Evans (2015). A public health perspective on a national precision medicine cohort: Balancing long-term knowledge generation with early health benefit. The Journal of the American Medical Association, 313, 2117–2118. doi:10.1001/jama.2015.3382
20. E.KrapohlR.Plomin (2016). Genetic link between family socioeconomic status and children’s educational achievement estimated from genome-wide SNPs. Molecular Psychiatry, 21, 437–443. doi:10.1038/mp.2015.2
21. E.KrapohlK.RimfeldN.G.ShakeshaftM.TrzaskowskiA.McMillanJ.-B.PingaultR.. Plomin (2014). The high heritability of educational achievement reflects many genetically influenced traits, not just intelligence. Proceedings of the National Academy of Sciences, USA, 111, 15273–15278. doi:10.1073/pnas.1408777111
22. E.S.Lander (2015). Cutting the Gordian helix—regulating genomic testing in the era of precision medicine. The New England Journal of Medicine, 372, 1185–1186. doi:10.1056/NEJMp1501964
23. D.M.LezakD.B.HowiesonD.W.LoringH.J.HannayJ.S.Fischer (2004). Neuropsychological assessment (4th ed.). New York, NY: Oxford University Press.
24. T.E.MoffittL.ArseneaultD.BelskyN.DicksonR.J.HancoxH.HarringtonA.. Caspi (2011). A gradient of childhood self-control predicts health, wealth, and public safety. Proceedings of the National Academy of Sciences, USA, 108, 2693–2698. doi:10.1073/pnas.1010076108
25. W.PavotE.Diener (1993). Review of the Satisfaction With Life Scale. Psychological Assessment, 5, 164–172.
26. R.Plomin (2012). Genetics: How intelligence changes with age. Nature, 482, 165–166. doi:10.1038/482165a
27. R.PlominC.S.Bergeman (1991). The nature of nurture: Genetic influence on “environmental” measures. Behavioral & Brain Sciences, 14, 414–427. doi:10.1017/S0140525X00070588
28. R.PoultonT.E.MoffittP.A.Silva (2015). The Dunedin Multidisciplinary Health and Development Study: Overview of the first 40 years, with an eye to the future. Social Psychiatry & Psychiatric Epidemiology, 50, 679–693. doi:10.1007/s00127-015-1048-8
29. K.J.PreacherA.F.Hayes (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40, 879–891. doi:10.3758/BRM.40.3.879
30. K.J.PreacherK.Kelley (2011). Effect size measures for mediation models: Quantitative strategies for communicating indirect effects. Psychological Methods, 16, 93–115. doi:10.1037/A0022658
31. A.L.PriceN.J.PattersonR.M.PlengeM.E.WeinblattN.A.ShadickD.Reich (2006). Principal components analysis corrects for stratification in genome-wide association studies. Nature Genetics, 38, 904–909. doi:10.1038/ng1847
32. A.L.PriceN.A.ZaitlenD.ReichN.Patterson (2010). New approaches to population stratification in genome-wide association studies. Nature Reviews Genetics, 11, 459–463. doi:10.1038/nrg2813
33. C.A.RietveldD.ConleyN.ErikssonT.EskoS.E.MedlandA.A.E.Vinkhuyzen,.. Social Science Genetics Association Consortium. (2014). Replicability and robustness of genome-wide-association studies for behavioral traits. Psychological Science, 25, 1975–1986. doi:10.1177/0956797614545132
34. C.A.RietveldT.EskoG.DaviesT.H.PersP.TurleyB.BenyaminP.D.. Koellinger (2014). Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proceedings of the National Academy of Sciences, USA, 111, 13790–13794. doi:10.1073/pnas.1404623111
35. C.A.RietveldS.E.MedlandJ.DerringerJ.YangT.EskoN.W.MartinP.D.. Koellinger (2013). GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science, 340, 1467–1471. doi:10.1126/science.1235488
36. N.J.RobertsJ.T.VogelsteinG.ParmigianiK.W.KinzlerB.VogelsteinV.E.Velculescu (2012). The predictive capacity of personal genome sequencing. Science Translational Medicine, 4(133), Article 133ra58. doi:10.1126/scitranslmed.3003380
37. C.R.Schwartz (2013). Trends and variation in assortative mating: Causes and consequences. Annual Review of Sociology, 39, 451–470. doi:10.1146/annurev-soc-071312-145544
38. Scottish Council for Research in Education. (1976). Burt Word Reading Test (rev. ed.). London, England: Hodder & Stoughton.
39. S.S.SherryM.M.WardM.KholodovJ.BakerL.PhanE.E.SmigielskiK.Sirotkin (2001). dbSNP: The NCBI database of genetic variation. Nucleic Acids Research, 29, 308–311.
40. J.D.SingerJ.B.Willett (2003). Applied longitudinal data analysis. New York, NY: Oxford University Press.
41. M.Talbot (2015, January12). The talking cure. The New Yorker. Retrieved from http://www.newyorker.com/magazine/2015/01/12/talking-cure
42. L.M.TermanM.A.Merrill (1960). Stanford-Binet Intelligence Scale: Manual for the third revision. Oxford, England: Houghton Mifflin.
43. E.M.Tucker-DrobT.C.Bates (2016). Large cross-national differences in gene × socioeconomic status interaction on intelligence. Psychological Science, 27, 138–149. doi:10.1177/0956797615612727
44. M.E.WardG.McMahonB.St PourcainD.M.EvansC.A.RietveldD.J.BenjaminN.J.. Timpson (2014). Genetic variation associated with differential educational attainment in adults has anticipated associations with school performance in children. PLoS ONE, 9(7), Article e100248. doi:10.1371/journal.pone.0100248
45. D.Wechsler. (1974). Manual for the Wechsler Intelligence Scale for Children–Revised. New York, NY: Psychological Corporation.
46. Wikipedia. (2014). Overseas experience. Retrieved from http://en.wikipedia.org/w/index.php?title=Overseas_experience&oldid=633298303
47. Wikipedia. (2015). List of countries by income equality. Retrieved from https://en.wikipedia.org/w/index.php?title=List_of_countries_by_income_equality&oldid=686250962
48. A.R.WoodT.EskoJ.YangS.VedantamT.H.PersS.GustafssonT.M.. Frayling (2014). Defining the role of common variation in the genomic and biological architecture of adult human height. Nature Genetics, 46, 1173–1186. doi:10.1038/ng.3097