GenLang GWAS meta-analysis summary statistics for quantitative reading-/language-traits

Detailed Metadata

• MPI_Bundle
  • Title : GenLang GWAS meta-analysis summary statistics for quantitative reading-/language-traits
  • DataType : Genome data
  • ResearchField : Genetics
  • Date : 2022-08-02
  • Description
    • Description : The GenLang meta-analysis summary statistics of quantitative reading- and language-related traits, by Eising et al. PNAS 2022. Details on the file names and column headers can be found in the provided README document
  • Contributor
    • Name : Else Eising
    • Role : researcher
  • Institution
    • Organisation : Max Planck Institute for Psycholinguistics
  • Project
    • ProjectName : GenLang
    • ProjectDescription : GenLang is an international network that facilitates large-scale genomic investigations in relation to speech, language, reading, and related skills. The consortium brings together leading scientists from around the world who are interested in the genetic underpinnings of traits related to spoken and written language, not only for disorders but also interindividual variation in the normal range. As for most other human traits, the relevant genetic architecture is complex, heterogeneous, and multifactorial. Faced with such complexity, other fields of human genetics have greatly benefited from co-ordinating activities, and creating synergies between like-minded research teams, which has yielded important advances. With GenLang, the language sciences are also taking advantage of this successful team-science research model. GenLang operates under a set of agreed organizing principles that enables researchers to complement their ongoing research programmes with collaborative opportunities that might not otherwise be possible, in as transparent and inclusive a way as possible.
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