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Genomic prediction of cognitive traits in childhood and adolescence

View ORCID ProfileA.G. Allegrini, View ORCID ProfileS. Selzam, View ORCID ProfileK. Rimfeld, View ORCID ProfileS. von Stumm, View ORCID ProfileJ.B. Pingault, View ORCID ProfileR. Plomin
doi: https://doi.org/10.1101/418210
A.G. Allegrini
1King’s College London, Social, Genetic and Developmental Psychiatry Centre, London, United Kingdom
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  • For correspondence: andrea.allegrini@kcl.ac.uk
S. Selzam
1King’s College London, Social, Genetic and Developmental Psychiatry Centre, London, United Kingdom
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K. Rimfeld
1King’s College London, Social, Genetic and Developmental Psychiatry Centre, London, United Kingdom
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S. von Stumm
2London School of Economics and Political Science, Department of Psychological and Behavioural Science, London, United Kingdom
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J.B. Pingault
3University College London, Clinical Educational and Health Psychology, Division of Psychology and Language Sciences, London, United Kingdom
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R. Plomin
1King’s College London, Social, Genetic and Developmental Psychiatry Centre, London, United Kingdom
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Abstract

Recent advances in genomics are producing powerful DNA predictors of complex traits, especially cognitive abilities. Here, we leveraged summary statistics from the most recent genome-wide association studies of intelligence and educational attainment to build prediction models of general cognitive ability and educational achievement. To this end, we compared the performances of multi-trait genomic and polygenic scoring methods. In a representative UK sample of 7,026 children at age 12 and 16, we show that we can now predict up to 11 percent of the variance in intelligence and 16 percent in educational achievement. We also show that predictive power increases from age 12 to age 16 and that genomic predictions do not differ for girls and boys. Multivariate genomic methods were effective in boosting predictive power and, even though prediction accuracy varied across polygenic scores approaches, results were similar using different multivariate and polygenic score methods. Polygenic scores for educational attainment and intelligence are the most powerful predictors in the behavioural sciences and exceed predictions that can be made from parental phenotypes such as educational attainment and occupational status.

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Posted September 17, 2018.
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Genomic prediction of cognitive traits in childhood and adolescence
A.G. Allegrini, S. Selzam, K. Rimfeld, S. von Stumm, J.B. Pingault, R. Plomin
bioRxiv 418210; doi: https://doi.org/10.1101/418210
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Genomic prediction of cognitive traits in childhood and adolescence
A.G. Allegrini, S. Selzam, K. Rimfeld, S. von Stumm, J.B. Pingault, R. Plomin
bioRxiv 418210; doi: https://doi.org/10.1101/418210

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