The shared genetic architecture and evolution of human language and musical rhythm

Gökberk Alagöz (), Else Eising, Yasmina Mekki, Giacomo Bignardi, Pierre Fontanillas, Michel G. Nivard, Michelle Luciano, Nancy J. Cox, Simon E. Fisher () and Reyna L. Gordon ()
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Gökberk Alagöz: Max Planck Institute for Psycholinguistics
Else Eising: Max Planck Institute for Psycholinguistics
Yasmina Mekki: Vanderbilt University Medical Center
Giacomo Bignardi: Max Planck Institute for Psycholinguistics
Pierre Fontanillas: 23andMe, Inc.
Michel G. Nivard: Bristol Medical School, University of Bristol
Michelle Luciano: University of Edinburgh
Nancy J. Cox: Vanderbilt University Medical Center
Simon E. Fisher: Max Planck Institute for Psycholinguistics
Reyna L. Gordon: Vanderbilt University Medical Center

Nature Human Behaviour, 2025, vol. 9, issue 2, 376-390

Abstract: Abstract This study aimed to test theoretical predictions over biological underpinnings of previously documented phenotypic correlations between human language-related and musical rhythm traits. Here, after identifying significant genetic correlations between rhythm, dyslexia and various language-related traits, we adapted multivariate methods to capture genetic signals common to genome-wide association studies of rhythm (N = 606,825) and dyslexia (N = 1,138,870). The results revealed 16 pleiotropic loci (P

Date: 2025
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DOI: 10.1038/s41562-024-02051-y

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