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

  • Else Eising
  • , Nazanin Mirza-Schreiber
  • , Eveline L. de Zeeuw
  • , Carol A. Wang
  • , Dongnhu T. Truong
  • , Andrea G. Allegrini
  • , Chin Yang Shapland
  • , Gu Zhu
  • , Karen G. Wigg
  • , Margot L. Gerritse
  • , Barbara Molz
  • , Gokberk Alagoz
  • , Alessandro Gialluisi
  • , Filippo Abbondanza
  • , Kaili Rimfeld
  • , Marjolein van Donkelaar
  • , Zhijie Liao
  • , Philip R. Jansen
  • , Till F.M. Andlauer
  • , Timothy C. Bates
  • Manon Bernard, Kirsten Blokland, Milene Bonte, Anders D. Børglum, Thomas Bourgeron, Daniel Brandeis, Fabiola Ceroni, Valeria Csepe, Philip S. Dale, Peter F. de Jong, John C. DeFries, Jean François Demonet, Ditte Demontis, Yu Feng, Scott D. Gordon, Sharon L. Guger, Marianna E. Hayiou-Thomas, Juan A. Hernandez-Cabrera, Jouke Jan Hottenga, Charles Hulme, Juha Kere, Elizabeth N. Kerr, Tanner Koomar, Karin Landerl, Gabriel T. Leonard, Maureen W. Lovett, Heikki Lyytinen, Nicholas G. Martin, Angela Martinelli, Urs Maurer, Jacob J. Michaelson, Kristina Moll, Anthony P. Monaco, Angela T. Morgan, Markus M. Nothen, Zdenka Pausova, Craig E. Pennell, Bruce F. Pennington, Kaitlyn M. Price, Veera M. Rajagopal, Franck Ramus, Louis Richer, Nuala H. Simpson, Shelley D. Smith, Margaret J. Snowling, John Stein, Lisa J. Strug, Joel B. Talcott, Henning Tiemeier, Marc P. van der Schroeff, Ellen Verhoef, Kate E. Watkins, Margaret Wilkinson, Margaret J. Wright, Cathy L. Barr, Dorret I. Boomsma, Manuel Carreiras, Marie Christine J. Franken, Jeffrey R. Gruen, Michelle Luciano, Bertram Muller-Myhsok, Dianne F. Newbury, Richard K. Olson, Silvia Paracchini, Tomas Paus, Robert Plomin, Sheena Reilly, Gerd Schulte-Korne, J. Bruce Tomblin, Elsje van Bergen, Andrew J.O. Whitehouse, Erik G. Willcutt, Beate St Pourcain, Clyde Francks, Simon E. Fisher*
*Corresponding author for this work
  • Max Planck Institute for Psycholinguistics
  • Helmholtz Zentrum München - German Research Center for Environmental Health
  • Vrije Universiteit Amsterdam
  • University of Newcastle
  • Hunter Medical Research Institute, Australia
  • Yale University
  • King's College London
  • University of Bristol
  • Queensland Institute of Medical Research
  • Krembil Research Institute
  • Max Planck Institute of Psychiatry
  • IRCCS Istituto Neurologico Mediterraneo Neuromed - Pozzilli (IS)
  • University of Insubria
  • University of St Andrews
  • Royal Holloway University of London
  • University of Toronto
  • Erasmus University Rotterdam
  • VU University Medical Center
  • Technical University of Munich
  • University of Edinburgh
  • Maastricht University
  • Aarhus University
  • i PSYCH
  • Center for Genome Analysis and Personalized Medicine
  • Institut Pasteur Paris
  • University of Zurich
  • Heidelberg University 
  • University of Bologna
  • Oxford Brookes University
  • Research Centre for Natural Sciences
  • University of Pannonia
  • University of New Mexico
  • University of Amsterdam
  • University of Colorado Boulder
  • University of Lausanne
  • University of York
  • Clínica Psicobiología y Metodología
  • University of Oxford
  • Karolinska Institutet
  • University of Helsinki
  • University of Iowa
  • University of Graz
  • BioTechMed-Graz
  • McGill University
  • University of Jyväskylä
  • Chinese University of Hong Kong
  • Ludwig Maximilian University of Munich
  • Tufts University
  • Murdoch Children's Research Institute
  • Department of Audiology and Speech Pathology
  • Royal Children's Hospital Melbourne
  • University of Bonn
  • Hunter New England Health
  • University of Denver
  • École normale supérieure
  • Université du Québec à Chicoutimi
  • University of Nebraska Medical Center
  • Aston University
  • Harvard University
  • University of Queensland
  • Netherlands Twin Register
  • Amsterdam UMC
  • BCBL – Basque Center on Cognition, Brain and Language
  • Ikerbasque Basque Foundation for Science
  • University of the Basque Country
  • University of Liverpool
  • University of Montreal
  • Menzies Health Institute Queensland
  • Telethon Kids Institute
  • Radboud University Nijmegen

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article numbere2202764119
JournalProceedings of the National Academy of Sciences of the United States of America
Volume119
Issue number35
DOIs
Publication statusPublished - 30 Aug 2022
Externally publishedYes

Keywords

  • genome-wide association study
  • language
  • meta-analysis
  • reading

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