Genetic Variation Associated with Differential Educational Attainment in Adults Has Anticipated Associations with School Performance in Children

Genome-wide association study results have yielded evidence for the association of common genetic variants with crude measures of completed educational attainment in adults. Whilst informative, these results do not inform as to the mechanism of these effects or their presence at earlier ages and where educational performance is more routinely and more precisely assessed. Single nucleotide polymorphisms exhibiting genome-wide significant associations with adult educational attainment were combined to derive an unweighted allele score in 5,979 and 6,145 young participants from the Avon Longitudinal Study of Parents and Children with key stage 3 national curriculum test results (SATS results) available at age 13 to 14 years in English and mathematics respectively. Standardised (z-scored) results for English and mathematics showed an expected relationship with sex, with girls exhibiting an advantage over boys in English (0.433 SD (95%CI 0.395, 0.470), p<10−10) with more similar results (though in the opposite direction) in mathematics (0.042 SD (95%CI 0.004, 0.080), p = 0.030). Each additional adult educational attainment increasing allele was associated with 0.041 SD (95%CI 0.020, 0.063), p = 1.79×10−04 and 0.028 SD (95%CI 0.007, 0.050), p = 0.01 increases in standardised SATS score for English and mathematics respectively. Educational attainment is a complex multifactorial behavioural trait which has not had heritable contributions to it fully characterised. We were able to apply the results from a large study of adult educational attainment to a study of child exam performance marking events in the process of learning rather than realised adult end product. Our results support evidence for common, small genetic contributions to educational attainment, but also emphasise the likely lifecourse nature of this genetic effect. Results here also, by an alternative route, suggest that existing methods for child examination are able to recognise early life variation likely to be related to ultimate educational attainment.

[1]  Lorna M. Lopez,et al.  Meta-analysis of genome-wide association studies for personality , 2012, Molecular Psychiatry.

[2]  Nicholas G. Martin,et al.  Genetic and environmental contributions to educational attainment in Australia , 2001 .

[3]  P. Visscher,et al.  Common SNPs explain a large proportion of heritability for human height , 2011 .

[4]  Tanya M. Teslovich,et al.  Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index , 2010 .

[5]  J. Mackenbach,et al.  Socioeconomic inequalities in health in 22 European countries. , 2008, The New England journal of medicine.

[6]  Jonathan P. Beauchamp,et al.  GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment , 2013, Science.

[7]  Daniel J. Benjamin,et al.  The genetic architecture of economic and political preferences , 2012, Proceedings of the National Academy of Sciences.

[8]  K. McCallum,et al.  Variation in the Heritability of Educational Attainment: An International Meta-Analysis , 2013 .

[9]  Ayellet V. Segrè,et al.  Hundreds of variants clustered in genomic loci and biological pathways affect human height , 2010, Nature.

[10]  Catherine E. Ross,et al.  The links between education and health. , 1995 .

[11]  Magnus Johannesson,et al.  Genetic Variation in Preferences for Giving and Risk Taking , 2009 .

[12]  P. McKeigue,et al.  For Personal Use. Only Reproduce with Permission from the Lancet Publishing Group. Problems of Reporting Genetic Associations with Complex Outcomes , 2022 .

[13]  P. Visscher,et al.  Childhood intelligence is heritable, highly polygenic and associated with FNBP1L , 2014, Molecular Psychiatry.

[14]  D. Boomsma,et al.  Heritability of educational achievement in 12-year-olds and the overlap with cognitive ability. , 2002, Twin research : the official journal of the International Society for Twin Studies.

[15]  D. Lawlor,et al.  Cohort Profile: The ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children , 2012, International journal of epidemiology.

[16]  Paul Taubman,et al.  The Determinants of Earnings: Genetics, Family, and Other Environments; A Study of White Male Twins , 1976 .

[17]  J. Ioannidis Why Most Published Research Findings Are False , 2005, PLoS medicine.

[18]  E. Lander,et al.  The mystery of missing heritability: Genetic interactions create phantom heritability , 2012, Proceedings of the National Academy of Sciences.

[19]  Anna Vignoles,et al.  Estimating the Relationship between School Resources and Pupil Attainment at Key Stage 3 , 2005 .

[20]  D. Lawlor,et al.  Cohort Profile: The Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort , 2012, International journal of epidemiology.

[21]  G. Abecasis,et al.  MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes , 2010, Genetic epidemiology.

[22]  D. Reich,et al.  Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.

[23]  I. Deary,et al.  Does education confer a culture of healthy behavior? Smoking and drinking patterns in Danish twins. , 2011, American journal of epidemiology.

[24]  R. Plomin,et al.  Strong Genetic Influence on a UK Nationwide Test of Educational Achievement at the End of Compulsory Education at Age 16 , 2013, PloS one.