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1
Dynamic relationships between phonological memory and reading:a five year longitudinal study from age 4 to 9
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2
To Name or Not to Name:Eye Movements and Semantic Processing in RAN and Reading
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3
Auditory frequency discrimination in developmental dyslexia: a meta-analysis
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4
Genome-wide association scan identifies new variants associated with a cognitive predictor of dyslexia
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5
On the neural basis of word reading:A meta-analysis of fMRI evidence using activation likelihood estimation
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6
Genome-wide association scan identifies new variants associated with a cognitive predictor of dyslexia
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7
Auditory frequency discrimination in developmental dyslexia: A meta‐analysis
Witton, Caroline; Swoboda, Katy; Shapiro, Laura R.. - : John Wiley and Sons Inc., 2019
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8
Further evidence for a parent-of-origin effect at the NOP9 locus on language-related phenotypes
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9
Further evidence for a parent-of-origin effect at the NOP9 locus on language-related phenotypes
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10
Further evidence for a parent-of-origin effect at the NOP9 locus on language-related phenotypes
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11
Further evidence for a parent-of-origin effect at the NOP9 locus on language-related phenotypes
Pettigrew, Kerry A.; Frinton, Emily; Nudel, Ron. - : BioMed Central Ltd., 2016
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12
Genome-wide screening for DNA variants associated with reading and language traits
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13
Genetic analysis of dyslexia candidate genes in the European cross-linguistic NeuroDys cohort
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14
Deconstructing phonological tasks:the contribution of stimulus and response type to the prediction of early decoding skills
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15
Genetic analysis of dyslexia candidate genes in the European cross-linguistic NeuroDys cohort
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16
Increased prevalence of sex chromosome aneuploidies in specific language impairment and dyslexia.
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17
Genetic analysis of dyslexia candidate genes in the European cross-linguistic NeuroDys cohort
Abstract: Dyslexia is one of the most common childhood disorders with a prevalence of around 5–10% in school-age children. Although an important genetic component is known to have a role in the aetiology of dyslexia, we are far from understanding the molecular mechanisms leading to the disorder. Several candidate genes have been implicated in dyslexia, including DYX1C1, DCDC2, KIAA0319, and the MRPL19/C2ORF3 locus, each with reports of both positive and no replications. We generated a European cross-linguistic sample of school-age children – the NeuroDys cohort – that includes more than 900 individuals with dyslexia, sampled with homogenous inclusion criteria across eight European countries, and a comparable number of controls. Here, we describe association analysis of the dyslexia candidate genes/locus in the NeuroDys cohort. We performed both case–control and quantitative association analyses of single markers and haplotypes previously reported to be dyslexia-associated. Although we observed association signals in samples from single countries, we did not find any marker or haplotype that was significantly associated with either case–control status or quantitative measurements of word-reading or spelling in the meta-analysis of all eight countries combined. Like in other neurocognitive disorders, our findings underline the need for larger sample sizes to validate possibly weak genetic effects.
Keyword: Article
URL: https://doi.org/10.1038/ejhg.2013.199
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3992562/
http://www.ncbi.nlm.nih.gov/pubmed/24022301
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18
Increased prevalence of sex chromosome aneuploidies in specific language impairment and dyslexia
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19
Genetic analysis of dyslexia candidate genes in the European cross-linguistic NeuroDys cohort
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20
Genetic analysis of dyslexia candidate genes in the European cross-linguistic NeuroDys cohort.
In: ISSN: 1018-4813 ; EISSN: 1476-5438 ; European Journal of Human Genetics ; https://hal.archives-ouvertes.fr/hal-00964958 ; European Journal of Human Genetics, Nature Publishing Group, 2013, epub ahead of print. ⟨10.1038/ejhg.2013.199⟩ (2013)
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