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Interrelationship and Familiality of Dyslexia Related Quantitative Measures
Author(s) -
SchulteKörne G.,
Ziegler A.,
Deimel W.,
Schumacher J.,
Plume E.,
Bachmann C.,
Kleensang A.,
Propping P.,
Nöthen M. M.,
Warnke A.,
Remschmidt H.,
König I. R.
Publication year - 2007
Publication title -
annals of human genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.537
H-Index - 77
eISSN - 1469-1809
pISSN - 0003-4800
DOI - 10.1111/j.1469-1809.2006.00312.x
Subject(s) - dyslexia , psychology , spelling , developmental psychology , reading (process) , cognition , cognitive psychology , contrast (vision) , reading disability , correlation , linguistics , neuroscience , mathematics , computer science , artificial intelligence , philosophy , geometry
Summary Dyslexia is a complex gene‐environment disorder with poorly understood etiology that affects about 5% of school‐age children. Dyslexia occurs in all languages and is associated with a high level of social and psychological morbidity for the individual and their family; approximately 40‐50% have persistent disability into adulthood. The core symptoms are word reading and spelling deficits, but several other cognitive components influence the core phenotype. A broad spectrum of dyslexia related phenotypes, including phonological decoding, phoneme awareness, orthographic processing, short‐term memory, rapid naming and basic mathematical abilities, were investigated in large sample of 287 German dyslexia families. We explored the interrelationship between the component phenotypes using correlation and principal component analyses (PCA). In addition, we estimated familiality for phenotypes as well as for the factors suggested by PCA. The correlation between the component phenotypes varied between −0.1 and 0.7. The PCA resulted in three factors: a general dyslexia factor, a speed of processing factor and a mathematical abilities factor. The familiality estimates of single components and factors ranged between 0.25 and 0.63. Instead of analyzing single dyslexia‐related components, multivariate analyses including factor analytic approaches may help in the identification of susceptibility genes.