Literature DB >> 23065966

Genetic variant in KIAA0319, but not in DYX1C1, is associated with risk of dyslexia: an integrated meta-analysis.

Li Zou1, Wei Chen, Shanshan Shao, Zhao Sun, Rong Zhong, Junxin Shi, Xiaoping Miao, Ranran Song.   

Abstract

DYX1C1 and KIAA0319 have been two of the most extensively studied candidate genes for dyslexia given their important roles in the neuronal migration and neurite growth. The -3G > A in DYX1C1 and the 931C > T in KIAA0319 were of special interest for dyslexia but with inconsistent results. We performed a meta-analysis integrating case-control and transmission/disequilibrium test (TDT) studies to clearly discern the effect of these two variants in dyslexia. Data from case-control and TDT studies were analyzed in an allelic model using the Catmap software. In overall meta-analysis, the pooled OR for the -3A allele and the 931T allele was 0.68 (95% CI = 0.25-1.87, P(heterogeneity) = 0.000) and 0.87 (95% CI = 0.78-0.98, P(heterogeneity)= 0.125), respectively. The stratified analysis showed that the between-study heterogeneity regarding the -3G > A polymorphism might be accounted by the publication year. Additionally, the sensitivity analysis of -3G > A polymorphism indicated the stability of the result. In conclusion, our results suggested that the 931C > T variant in KIAA0319, but not the -3G > A in DYX1C1, was significantly associated with the risk of dyslexia.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 23065966     DOI: 10.1002/ajmg.b.32102

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  17 in total

1.  The Roles of Genes in the Neuronal Migration and Neurite Outgrowth Network in Developmental Dyslexia: Single- and Multiple-Risk Genetic Variants.

Authors:  Shanshan Shao; Rui Kong; Li Zou; Rong Zhong; Jiao Lou; Jie Zhou; Shengnan Guo; Jia Wang; Xiaohui Zhang; Jiajia Zhang; Ranran Song
Journal:  Mol Neurobiol       Date:  2015-07-17       Impact factor: 5.590

2.  KIAA0319 and ROBO1: evidence on association with reading and pleiotropic effects on language and mathematics abilities in developmental dyslexia.

Authors:  Sara Mascheretti; Valentina Riva; Roberto Giorda; Silvana Beri; Lara Francesca Emilia Lanzoni; Maria Rosaria Cellino; Cecilia Marino
Journal:  J Hum Genet       Date:  2014-01-16       Impact factor: 3.172

3.  Category fluency, latent semantic analysis and schizophrenia: a candidate gene approach.

Authors:  Kristin K Nicodemus; Brita Elvevåg; Peter W Foltz; Mark Rosenstein; Catherine Diaz-Asper; Daniel R Weinberger
Journal:  Cortex       Date:  2013-12-20       Impact factor: 4.027

4.  Embryonic disruption of the candidate dyslexia susceptibility gene homolog Kiaa0319-like results in neuronal migration disorders.

Authors:  M P Platt; W T Adler; A J Mehlhorn; G C Johnson; K A Wright; R T Choi; W H Tsang; M W Poon; S Y Yeung; M M Y Waye; A M Galaburda; G D Rosen
Journal:  Neuroscience       Date:  2013-07-03       Impact factor: 3.590

5.  The dyslexia-associated gene DCDC2 is required for spike-timing precision in mouse neocortex.

Authors:  Alicia Che; Matthew J Girgenti; Joseph LoTurco
Journal:  Biol Psychiatry       Date:  2013-10-04       Impact factor: 13.382

Review 6.  Imaging-genetics in dyslexia: connecting risk genetic variants to brain neuroimaging and ultimately to reading impairments.

Authors:  John D Eicher; Jeffrey R Gruen
Journal:  Mol Genet Metab       Date:  2013-07-17       Impact factor: 4.797

7.  An informatics approach to integrating genetic and neurological data in speech and language neuroscience.

Authors:  Jason W Bohland; Emma M Myers; Esther Kim
Journal:  Neuroinformatics       Date:  2014-01

8.  The role of DNA insertions in phenotypic differentiation between humans and other primates.

Authors:  Elizabeth H B Hellen; Andrew D Kern
Journal:  Genome Biol Evol       Date:  2015-01-28       Impact factor: 3.416

9.  Associations between two genetic variants in NKX2-5 and risk of congenital heart disease in Chinese population: a meta-analysis.

Authors:  Zhenling Wang; Li Zou; Rong Zhong; Beibei Zhu; Wei Chen; Na Shen; Juntao Ke; Jiao Lou; Ranran Song; Xiao-Ping Miao
Journal:  PLoS One       Date:  2013-08-02       Impact factor: 3.240

10.  Whole-exome sequencing supports genetic heterogeneity in childhood apraxia of speech.

Authors:  Elizabeth A Worthey; Gordana Raca; Jennifer J Laffin; Brandon M Wilk; Jeremy M Harris; Kathy J Jakielski; David P Dimmock; Edythe A Strand; Lawrence D Shriberg
Journal:  J Neurodev Disord       Date:  2013-10-02       Impact factor: 4.025

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