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

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Genome-wide analyses of individual differences2022.pdf (1.763Mb)
Date
2022
Author
Eising, Else
Mirza-Schreiber, Nazanin
de Zeeuw, Eveline L.
Wang, Carol A.
Truong, Dongnhu T.
Allegrin, Andrea G.
Shapland, Chin Yang
Zhu, Gu
Wigg, Karen G.
Gerritse, Margot L.
Molz, Barbara
Alagöz, Gökberk
Gialluisi, Alessandro
Abbondanza, Filippo
Rimfeld, Kaili
van Donkelaar, Marjolein
Liao, Zhijie
Jansen, Philip R.
Andlauer, Till F. M.
Bates, Timothy C.
Bernard, Manon
Blokland, Kirsten
Bonte, Milene
Børglum, Anders D.
Bourgeron, Thomas
Brandeis, Daniel
Ceroni, Fabiola
Csépe, Valéria
Dale, Philip S.
de Jong, Peter F.
DeFries, John C.
Démonet, Jean-Franc¸ois
Demontis, Ditte
Feng, Yu
Gordon, Scott D.
Guger, Sharon L.
Hayiou-Thomas, Marianna E.
Hernández-Cabrera, Juan A.
Hottenga, Jouke-Jan
Hulme, Charles
Kere, Juha
Kerr, Elizabeth N.
Koomar, Tanner
Landerlz, Karin
Leonard, Gabriel T.
Lovett, Maureen W.
Lyytinen, Heikki
Martin, Nicholas G.
Martinelli, Angela
Maurer, Urs
Michaelson, Jacob J.
Moll, Kristina
Monaco, Anthony P.
Morgan, Angela T.
Nöthen, Markus M.
Pausova, Zdenka
Pennell, Craig E.
Pennington, Bruce F.
Price, Kaitlyn M.
Rajagopal, Veera M.
Ramus, Franck
Richer, Louis
Simpson, Nuala H.
Smith, Shelley D.
Snowling, Margaret J.
Stein, John
Strug, Lisa J.
Talcott, Joel B.
Tiemeier, Henning
van der Schroef, Marc P.
Verhoef, Ellen
Watkins, Kate E.
Wilkinson, Margaret
Wright, Margaret J.
Barr, Cathy L.
Boomsma, Dorret I.
Carreiras, Manuel
J. Franken, Marie-Christine
Gruen, Jeffrey R.
Luciano, Michelle
Müller-Myhsok, Bertram
Newbury, Dianne F.
Olson, Richard K.
Paracchini, Silvia
Paus, Tomás
Plomin, Robert
Reilly, Sheena
Schulte-Körne, Gerd
Tomblin, J. Bruce
vanBergen, Elsje
Whitehouse, Andrew J. O.
Willcutt, Erik G.
Pourcain, Beate St
Francks, Clyde
Fisher, Simon E.
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(LA Referencia)

Eising, E., Mirza-Schreiber, N., de Zeeuw, E. L., Wang, C. A., Truong, D. T., Allegrini, A. G., . . .Carreiras, M., . . . Fisher, S. E. (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
PNAS: PSYCHOLOGICAL AND COGNITIVE SCIENCES GENETICS
URI
http://hdl.handle.net/10810/57972
Abstract
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 × 1028) 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.
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