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

Gialluisi, A., Andlauer, T. F. M., Mirza-Schreiber, N., Moll, K., Becker, J., Hoffmann, P., et al. (2020). Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia. Molecular Psychiatry. Advance online publication. doi:10.1038/s41380-020-00898-x.

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 Creators:
Gialluisi, Alessandro1, 2, 3, Author           
Andlauer, T. F. M.1, 2, 4, Author
Mirza-Schreiber, N.1, 5, Author
Moll, K.6, Author
Becker, J.7, Author
Hoffmann, P.7, Author
Ludwig, K. U.7, Author
Czamara, D.1, Author
St Pourcain, Beate8, 9, 10, 11, Author           
Honbolygó, F.12, Author
Tóth, D.12, Author
Csépe, V.12, Author
Huguet, H.13, Author
Chaix, Y14, 15, Author
Iannuzzi, S.15, Author
Demonet, J.-F.16, Author
Morris, A. P.17, 18, 19, Author
Hulslander, J.20, Author
Willcutt, E. G.20, Author
DeFries, J. C.20, Author
Olson, R. K.20, AuthorSmith, S. D.21, AuthorPennington, B. F.22, AuthorVaessen, A23, AuthorMaurer, U24, AuthorLyytinen, H.25, AuthorPeyrard-Janvid, M.26, AuthorLeppänen, P. H. T.25, AuthorBrandeis, D.27, AuthorBonte, M.23, AuthorStein, J. F.19, AuthorTalcott, J. B.28, AuthorFauchereau, F.13, AuthorWilcke, A.29, AuthorKirsten, H.29, AuthorMüller, B.30, AuthorFrancks, Clyde8, 10, 31, Author           Bourgeron, T.13, AuthorMonaco, A. P.19, 32, AuthorRamus, F.33, AuthorLanderl, K.34, AuthorKere, J.26, 30, AuthorScerri, T. S.19, 35, AuthorParacchini, S.36, AuthorFisher, Simon E.8, 10, Author           Schumacher, J.7, AuthorNöthen, M. M.7, AuthorMüller-Myhsok, B.1, 2, 17, AuthorSchulte-Körne, G.6, Author more..
Affiliations:
1Max Planck Institute of Psychiatry, Munich, Germany, ou_persistent22              
2SyNergy, Munich, Germany, ou_persistent22              
3IRCCS Instituto Neurologico Mediterraneo Neuromed, Pozzilli, Italy, ou_persistent22              
4Technical University of Munich, Munich, Germany, ou_persistent22              
5Helmholtz Zentrum München, Neuherberg, Germany, ou_persistent22              
6Ludwig-Maximilians University, Munich, Germany, ou_persistent22              
7University of Bonn, Bonn, Germany, ou_persistent22              
8Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_792549              
9University of Bristol, Bristol, UK, ou_persistent22              
10Donders Institute for Brain, Cognition and Behaviour, External Organizations, ou_55236              
11Population genetics of human communication, MPI for Psycholinguistics, Max Planck Society, Wundtlaan 1, 6525 XD Nijmegen, NL, ou_2579694              
12Hungarian Academy of Sciences, Budapest, Hungary, ou_persistent22              
13Pasteur-Paris University, Paris, France, ou_persistent22              
14Université de Toulouse, Toulouse, France, ou_persistent22              
15Purpan University Hospital, Toulouse, France, ou_persistent22              
16University of Lausanne, Lausanne, Switzerland, ou_persistent22              
17University of Liverpool, Liverpool, UK, ou_persistent22              
18University of Manchester, Manchester, UK, ou_persistent22              
19University of Oxford, Oxford, UK, ou_persistent22              
20University of Colorado Boulder, Boulder, CO, USA, ou_persistent22              
21University of Nebraska Medical Center, Omaha, NE, USA, ou_persistent22              
22University of Denver, Denver, CO, USA, ou_persistent22              
23Maastricht University, Maastricht, The Netherlands, ou_persistent22              
24The Chinese University of Hong Kong, Shatin, Hong Kong, ou_persistent22              
25University of Jyväskylä, Jyväskylä, Finland, ou_persistent22              
26Karolinska Institutet, Huddinge, Sweden, ou_persistent22              
27University of Zurich, Zurich, Switzerland, ou_persistent22              
28Aston University, Birmingham, UK, ou_persistent22              
29Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany, ou_persistent22              
30University of Helsinki, Helsinki, Finland, ou_persistent22              
31Imaging Genomics, MPI for Psycholinguistics, Max Planck Society, Wundtlaan 1, 6525 XD Nijmegen, NL, ou_2579692              
32Tufts University, Medford, MA, USA, ou_persistent22              
33PSL Research University, Paris, France, ou_persistent22              
34University of Graz, Graz, Austria, ou_persistent22              
35Melbourne University, Melbourne, Australia, ou_persistent22              
36University of St. Andrews, St. Andrews, UK, ou_persistent22              

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 Abstract: 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 × 10−6) enrichment of associations at the gene level, for LOC388780 (20p13; uncharacterized gene), and for VEPH1 (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 (at pT = 0.05 in the training GWAS: OR = 1.23[1.16; 1.30] per standard deviation increase; p  = 8 × 10−13), bipolar disorder (1.53[1.44; 1.63]; p = 1 × 10−43), schizophrenia (1.36[1.28; 1.45]; p = 4 × 10−22), psychiatric cross-disorder susceptibility (1.23[1.16; 1.30]; p = 3 × 10−12), cortical thickness of the transverse temporal gyrus (0.90[0.86; 0.96]; p = 5 × 10−4), educational attainment (0.86[0.82; 0.91]; p = 2 × 10−7), and intelligence (0.72[0.68; 0.76]; p = 9 × 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.

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Language(s): eng - English
 Dates: 20202020-10-14
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41380-020-00898-x
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Title: Molecular Psychiatry. Advance online publication
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1359-4184
CoNE: https://pure.mpg.de/cone/journals/resource/954925619131