PuSH - Publikationsserver des Helmholtz Zentrums München

Gialluisi, A.* ; Andlauer, T.F.M.* ; Mirza-Schreiber, N. ; Moll, K.* ; Becker, J.* ; Hoffmann, P.* ; Ludwig, K.U.* ; Czamara, D.* ; Pourcain, B.S.* ; Honbolygó, F.* ; Tóth, D.* ; Csépe, V.* ; Huguet, G.* ; Chaix, Y.* ; Iannuzzi, S.* ; Demonet, J.F.* ; Morris, A.P.* ; Hulslander, J.* ; Willcutt, E.G.* ; DeFries, J.C.* ; Olson, R.K.* ; Smith, S.D.* ; Pennington, B.F.* ; Vaessen, A.* ; Maurer, U.* ; Lyytinen, H.* ; Peyrard-Janvid, M.* ; Leppänen, P.H.T.* ; Brandeis, D.* ; Bonte, M.* ; Stein, J.F.* ; Talcott, J.B.* ; Fauchereau, F.* ; Wilcke, A.* ; Kirsten, H.* ; Müller, B.* ; Francks, C.* ; Bourgeron, T.* ; Monaco, A.P.* ; Ramus, F.* ; Landerl, K.* ; Kere, J.* ; Scerri, T.S.* ; Paracchini, S.* ; Fisher, S.E.* ; Schumacher, J.* ; Nöthen, M.M.* ; Müller-Myhsok, B.* ; Schulte-Körne, G.*

Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia.

Mol. Psychiatry 26, 3004–3017 (2021)
Verlagsversion DOI
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
Developmental dyslexia (DD) is a learning disorder affecting the ability to read, with a heritability of 40-60%. A notable part of this heritability remains unexplained, and large genetic studies are warranted to identify new susceptibility genes and clarify the genetic bases of dyslexia. We carried out a genome-wide association study (GWAS) on 2274 dyslexia cases and 6272 controls, testing associations at the single variant, gene, and pathway level, and estimating heritability using single-nucleotide polymorphism (SNP) data. We also calculated polygenic scores (PGSs) based on large-scale GWAS data for different neuropsychiatric disorders and cortical brain measures, educational attainment, and fluid intelligence, testing them for association with dyslexia status in our sample. We observed statistically significant (p < 2.8 x 10(-6)) enrichment of associations at the gene level, forLOC388780(20p13; uncharacterized gene), and forVEPH1(3q25), a gene implicated in brain development. We estimated an SNP-based heritability of 20-25% for DD, and observed significant associations of dyslexia risk with PGSs for attention deficit hyperactivity disorder (atp(T) = 0.05 in the training GWAS: OR = 1.23[1.16; 1.30] per standard deviation increase;p = 8 x 10(-13)), bipolar disorder (1.53[1.44; 1.63];p = 1 x 10(-43)), schizophrenia (1.36[1.28; 1.45];p = 4 x 10(-22)), psychiatric cross-disorder susceptibility (1.23[1.16; 1.30];p = 3 x 10(-12)), cortical thickness of the transverse temporal gyrus (0.90[0.86; 0.96];p = 5 x 10(-4)), educational attainment (0.86[0.82; 0.91];p = 2 x 10(-7)), and intelligence (0.72[0.68; 0.76];p = 9 x 10(-29)). This study suggests an important contribution of common genetic variants to dyslexia risk, and novel genomic overlaps with psychiatric conditions like bipolar disorder, schizophrenia, and cross-disorder susceptibility. Moreover, it revealed the presence of shared genetic foundations with a neural correlate previously implicated in dyslexia by neuroimaging evidence.
Altmetric
Weitere Metriken?
Zusatzinfos bearbeiten [➜Einloggen]
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Reading-disability; Individual-differences; Susceptibility Gene; Molecular-genetics; Language; Comorbidity; Locus; Age; Schizophrenia; Intelligence
ISSN (print) / ISBN 1359-4184
e-ISSN 1476-5578
Zeitschrift Molecular Psychiatry
Quellenangaben Band: 26, Heft: , Seiten: 3004–3017 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort Campus, 4 Crinan St, London, N1 9xw, England
Begutachtungsstatus Peer reviewed
Förderungen Projekt DEAL
Fondazione Umberto Veronesi
Max Planck Society
Fraunhofer Society
Max Planck Society within the "Pakt fur Forschung und Innovation"
LIFE-Leipzig Research Center for Civilization Diseases - European Union
European Regional Development Fund (ERDF)
Free State of Saxony within the excellence initiative
Agence Nationale de la Recherche
European Commission
B.M.B.F. through the DIFUTURE consortium of the Medical Informatics Initiative Germany
European Union's Horizon 2020 Research and Innovation Programme (grant MultipleMS)
Wellcome Trust
Munich Cluster for Systems Neurology (SyNergy)