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

机译:基因在发育性阅读障碍中的神经元迁移和神经突生长网络中的作用:单风险和多风险遗传变异。

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Abnormal regulation of neural migration and neurite growth is thought to be an important feature of developmental dyslexia (DD). We investigated 16 genetic variants, selected by bioinformatics analyses, in six key genes in the neuronal migration and neurite outgrowth network in a Chinese population. We first observed that KIAA0319L rs28366021, KIAA0319 rs4504469, and DOCK4 rs2074130 were significantly associated with DD risk after false discovery rate (FDR) adjustment for multiple comparisons (odds ratio (OR) = 0.672, 95 % confidence interval (CI) = 0.505-0.894, P = 0.006; OR = 1.608, 95 % CI = 1.174-2.203, P = 0.003; OR = 1.681, 95 % CI = 1.203-2.348, P = 0.002). The following classification and regression tree (CART) analysis revealed a prediction value of gene-gene interactions among DOCK4 rs2074130, KIAA0319 rs4504469, DCDC2 rs2274305, and KIAA0319L rs28366021 variants. Compared with the lowest risk carriers of the combination of rs2074130 CC, rs4504469 CC, and rs2274305 GG genotype, individuals carrying the combined genotypes of rs2074130 CC, rs4504469 CT or TT, and rs28366021 GG had a significantly increased risk for DD (OR = 2.492, 95 % CI = 1.447-4.290, P = 0.001); individuals with the combination of rs2074130 CT or TT and rs28366021 GG genotype exhibited the highest risk for DD (OR = 2.770, 95 % CI = 2.265-6.276, P = 0.000). A significant dose effect was observed among these four variants (P for trend = 0.000). In summary, this study supports the importance of single- and multiple-risk variants in this network in DD susceptibility in China.
机译:神经迁移和神经突生长的异常调节被认为是发育障碍的重要特征。我们调查了16个通过生物信息学分析选择的遗传变异,这些变异是在中国人群神经元迁移和神经突生长网络的6个关键基因中产生的。我们首先观察到在多次比较的错误发现率(FDR)调整后,KIAA0319L rs28366021,KIAA0319 rs4504469和DOCK4 rs2074130与DD风险显着相关(奇数比(OR)= 0.672,95%置信区间(CI)= 0.505-0.894) ,P = 0.006; OR = 1.608,95%CI = 1.174-2.203,P = 0.003; OR = 1.681,95%CI = 1.203-2.348,P = 0.002)。以下分类和回归树(CART)分析揭示了DOCK4 rs2074130,KIAA0319 rs4504469,DCDC2 rs2274305和KIAA0319L rs28366021变体之间的基因-基因相互作用的预测值。与rs2074130 CC,rs4504469 CC和rs2274305 GG基因型组合的最低风险携带者相比,携带rs2074130 CC,rs4504469 CT或TT和rs28366021 GG组合基因型的个体的DD风险显着增加(OR = 2.492, 95%CI = 1.447-4.290,P = 0.001); rs2074130 CT或TT和rs28366021 GG基因型组合的个体表现出最高的DD风险(OR = 2.770,95%CI = 2.265-6.276,P = 0.000)。在这四个变体中观察到了显着的剂量效应(趋势的P = 0.000)。总而言之,本研究支持该网络中单风险和多风险变量对中国DD易感性的重要性。

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