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Zeitschriftenartikel

Association analysis of dyslexia candidate genes in a Dutch longitudinal sample

MPG-Autoren
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Carrion Castillo,  Amaia
International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL;
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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Francks,  Clyde
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;

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Fisher,  Simon E.
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;

Volltexte (frei zugänglich)

carion_castillo_2017.pdf
(Verlagsversion), 493KB

Ergänzendes Material (frei zugänglich)

ejhg2016194x1.pdf
(Ergänzendes Material), 297KB

Zitation

Carrion Castillo, A., Maassen, B., Franke, B., Heister, A., Naber, M., Van der Leij, A., et al. (2017). Association analysis of dyslexia candidate genes in a Dutch longitudinal sample. European Journal of Human Genetics, 25(4), 452-460. doi:10.1038/ejhg.2016.194.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-002C-2256-1
Zusammenfassung
Dyslexia is a common specific learning disability with a substantive genetic component. Several candidate genes have been proposed to be implicated in dyslexia susceptibility, such as DYX1C1, ROBO1, KIAA0319, and DCDC2. Associations with variants in these genes have also been reported with a variety of psychometric measures tapping into the underlying processes that might be impaired in dyslexic people. In this study, we first conducted a literature review to select single nucleotide polymorphisms (SNPs) in dyslexia candidate genes that had been repeatedly implicated across studies. We then assessed the SNPs for association in the richly phenotyped longitudinal data set from the Dutch Dyslexia Program. We tested for association with several quantitative traits, including word and nonword reading fluency, rapid naming, phoneme deletion, and nonword repetition. In this, we took advantage of the longitudinal nature of the sample to examine if associations were stable across four educational time-points (from 7 to 12 years). Two SNPs in the KIAA0319 gene were nominally associated with rapid naming, and these associations were stable across different ages. Genetic association analysis with complex cognitive traits can be enriched through the use of longitudinal information on trait development.