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. BatesManon 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

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article numbere2202764119
JournalProceedings of the National Academy of Sciences of the United States of America
Volume119
Issue number35
DOIs
Publication statusPublished - 23 Aug 2022

Keywords

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

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