Objective: --There is strong evidence that developmental dyslexia is both familial and heritable, but the mode of genetic transmission has remained unclear. In this article, we examine specific genetic hypotheses about the mode of transmission of developmental dyslexia by performing complex segregation analyses.
Design: --A family study method was applied, whereby the relatives of dyslexic probands were examined for dyslexia. The families studied represent four independently ascertained samples.
Setting: --The four samples of families were primarily from rural and suburban communities of Colorado, Washington State, and Iowa.
Participants: --A total of 204 families and 1698 individuals in the four samples combined.
Main Outcome Measures: --The complex segregation program, POINTER, was used to test competing genetic hypotheses of how a categorical trait (dyslexia) is transmitted in families.
Results: --The results were consistent with major locus transmission in three of four samples and with polygenic transmission in the fourth. In these three samples, the estimates of penetrance for the AA, Aa, and aa genotypes (where A is the abnormal allele) were, respectively, 1.000, 1.000, and 0.001 to 0.039 in males, and 0.560 to 1.000, 0.550 to 0.897, and 0.000 in females. The estimated gene frequency of the major locus was between 3% and 5%.
Conclusions: --Sex-influenced, additive, or dominant transmission occurs in a significant proportion of dyslexic families. Other evidence indicates, however, that dyslexia is etiologically heterogeneous and that there is genetic heterogeneity even among families selected for apparent dominant transmission. Thus, while no single major locus may account for all of dyslexia, it is important to pursue potential major loci for dyslexia using linkage techniques.
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Dyslexia
February 2025
Department of Machine Learning and Data Processing, Faculty of Informatics, Masaryk University, Brno, Czech Republic.
Current diagnostic methods for dyslexia primarily rely on traditional paper-and-pencil tasks. Advanced technological approaches, including eye-tracking and artificial intelligence (AI), offer enhanced diagnostic capabilities. In this paper, we bridge the gap between scientific and diagnostic concepts by proposing a novel dyslexia detection method, called INSIGHT, which combines a visualisation phase and a neural network-based classification phase.
View Article and Find Full Text PDFFront Behav Neurosci
January 2025
Department of Special Education, University of Thessaly, Volos, Greece.
Introduction: The aim of this study was to identify if children with dyslexia can be distinguished into discrete categories based on their domain deficits, indicating various neurocognitive subtypes of developmental dyslexia (DD).
Methods: The sample included 101 students in the 3rd, 4th, 5th, and 6th grades of primary school (mean age 11.15 years) with a diagnosis of dyslexia from a public center and Greek as their native language.
Dev Cogn Neurosci
January 2025
Vanderbilt University, United States. Electronic address:
Mathematics learning disorders (MD) and reading learning disorders (RD) are persistent conditions that interfere with success in academic and daily-life tasks, and cannot be attributed to intellectual disabilities, sensory deficits, or environmental factors. Prevalence rates of MD and RD are estimated at 5-10 % of school-age children, and their comorbidity (MDRD) is highly prevalent, with around 40 % of children with MD also experiencing RD. Despite this high comorbidity rate, research on MDRD has received less attention compared to isolated conditions, leaving its neurocognitive mechanisms unclear.
View Article and Find Full Text PDFInt J Pediatr Otorhinolaryngol
January 2025
Level IV, Department of Health and Human Communication, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil. Electronic address:
Objective: To describe and compare the latencies and amplitudes of Mismatch Negativity between children with and without Developmental Dyslexia.
Methods: Cross-sectional and comparative study, consisting of a study group of 52 children with Developmental Dyslexia and a control group of 52 children with typical development, matched by age and sex, aged between 9 years and 11 years and 11 months of both sexes. All participants underwent Otoscopy, Acoustic Immittance Measurements, Pure Tone Audiometry, Speech Audiometry, Brainstem Auditory Evoked Potential and Mismatch Negativity.
Front Child Adolesc Psychiatry
December 2024
Brain Balance Achievement Centers, Naperville, IL, United States.
Accessibility to developmental interventions for children and adolescents could be increased through virtual, at-home delivery of training programs. Virtual childhood training programs and their effects on cognitive outcomes have not been well studied. To that end, this study examined the effects of the at-home Brain Balance® (BB) program on the cognitive task performance of children and adolescents with baseline developmental and attentional difficulties.
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