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Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people

MPG-Autoren
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Eising,  Else
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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Gerritse,  Margo
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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Molz,  Barbara
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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Alagöz,  Gökberk
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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Van Donkelaar,  Marjolein M. J.
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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Verhoef,  Ellen
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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St Pourcain,  Beate
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
Population genetics of human communication, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;

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Francks,  Clyde
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
Imaging Genomics, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;

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Fisher,  Simon E.
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;

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Zitation

Eising, E., Mirza-Schreiber, N., De Zeeuw, E. L., Wang, C. A., Truong, D. T., Allegrini, A. G., et al. (2022). Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people. Proceedings of the National Academy of Sciences of the United States of America, 119(35): e2202764119. doi:10.1073/pnas.2202764119.


Zitierlink: https://hdl.handle.net/21.11116/0000-000A-E4E9-E
Zusammenfassung
The use of spoken and written language is a fundamental human capacity. Individual differences in reading- and language-related skills are influenced by genetic variation, with twin-based heritability estimates of 30 to 80% depending on the trait. The genetic architecture is complex, heterogeneous, and multifactorial, but investigations of contributions of single-nucleotide polymorphisms (SNPs) were thus far underpowered. We present a multicohort genome-wide association study (GWAS) of five traits assessed individually using psychometric measures (word reading, nonword reading, spelling, phoneme awareness, and nonword repetition) in samples of 13,633 to 33,959 participants aged 5 to 26 y. We identified genome-wide significant association with word reading (rs11208009, P = 1.098 × 10−8) at a locus that has not been associated with intelligence or educational attainment. All five reading-/language-related traits showed robust SNP heritability, accounting for 13 to 26% of trait variability. Genomic structural equation modeling revealed a shared genetic factor explaining most of the variation in word/nonword reading, spelling, and phoneme awareness, which only partially overlapped with genetic variation contributing to nonword repetition, intelligence, and educational attainment. A multivariate GWAS of word/nonword reading, spelling, and phoneme awareness maximized power for follow-up investigation. Genetic correlation analysis with neuroimaging traits identified an association with the surface area of the banks of the left superior temporal sulcus, a brain region linked to the processing of spoken and written language. Heritability was enriched for genomic elements regulating gene expression in the fetal brain and in chromosomal regions that are depleted of Neanderthal variants. Together, these results provide avenues for deciphering the biological underpinnings of uniquely human traits.