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Evidence of statistical epistasis between DISC1, CIT and NDEL1 impacting risk for schizophrenia: biological validation with functional neuroimaging

机译:DISC1,CIT和NDEL1之间的统计上位证据影响精神分裂症的风险:功能神经影像学的生物学验证

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The etiology of schizophrenia likely involves genetic interactions. DISC1, a promising candidate susceptibility gene, encodes a protein which interacts with many other proteins, including CIT, NDEL1, NDE1, FEZ1 and PAFAH1B1, some of which also have been associated with psychosis. We tested for epistasis between these genes in a schizophrenia case–control study using machine learning algorithms (MLAs: random forest, generalized boosted regression and Monte Carlo logic regression). Convergence of MLAs revealed a subset of seven SNPs that were subjected to 2-SNP interaction modeling using likelihood ratio tests for nested unconditional logistic regression models. Of the 7C2 = 21 interactions, four were significant at the α = 0.05 level: DISC1 rs1411771–CIT rs10744743 OR = 3.07 (1.37, 6.98) p = 0.007; CIT rs3847960–CIT rs203332 OR = 2.90 (1.45, 5.79) p = 0.003; CIT rs3847960–CIT rs440299 OR = 2.16 (1.04, 4.46) p = 0.038; one survived Bonferroni correction (NDEL1 rs4791707–CIT rs10744743 OR = 4.44 (2.22, 8.88) p = 0.00013). Three of four interactions were validated via functional magnetic resonance imaging (fMRI) in an independent sample of healthy controls; risk associated alleles at both SNPs predicted prefrontal cortical inefficiency during the N-back task, a schizophrenia-linked intermediate biological phenotype: rs3847960–rs440299; rs1411771–rs10744743, rs4791707–rs10744743 (SPM5 p < 0.05, corrected), although we were unable to statistically replicate the interactions in other clinical samples. Interestingly, the CIT SNPs are proximal to exons that encode the DISC1 interaction domain. In addition, the 3′ UTR DISC1 rs1411771 is predicted to be an exonic splicing enhancer and the NDEL1 SNP is ~3,000 bp from the exon encoding the region of NDEL1 that interacts with the DISC1 protein, giving a plausible biological basis for epistasis signals validated by fMRI.
机译:精神分裂症的病因可能涉及遗传相互作用。 DISC1是一种有前途的候选易感基因,它编码一种与许多其他蛋白质相互作用的蛋白质,包括CIT,NDEL1,NDE1,FEZ1和PAFAH1B1,其中一些也与精神病有关。我们使用机器学习算法(MLA:随机森林,广义增强回归和蒙特卡洛逻辑回归)在精神分裂症病例对照研究中测试了这些基因之间的上位性。 MLA的收敛揭示了七个SNP的子集,这些子集已使用似然比检验针对嵌套无条件逻辑回归模型进行了2-SNP交互建模。在 7 C 2 = 21的相互作用中,有四个在α= 0.05的水平上具有显着性:DISC1 rs1411771-CIT rs10744743 OR = 3.07(1.37,6.98)p = 0.007; CIT rs3847960–CIT rs203332或= 2.90(1.45,5.79)p = 0.003; CIT rs3847960–CIT rs440299 OR = 2.16(1.04,4.46)p = 0.038;一个幸存的Bonferroni校正(NDEL1 rs4791707–CIT rs10744743 OR = 4.44(2.22,8.88)p = 0.00013)。通过功能磁共振成像(fMRI)在健康对照的独立样本中验证了四种相互作用中的三种。两个SNP的风险相关等位基因预测N背任务期间精神分裂症相关的中间生物学表型:rs3847960–rs440299;在N-back任务期间预测前额叶皮质无效。 rs1411771-rs10744743,rs4791707-rs10744743(SPM5 p <0.05,已校正),尽管我们无法在其他临床样本中进行统计学上的复制。有趣的是,CIT SNP位于编码DISC1相互作用域的外显子的近端。此外,预计3'UTR DISC1 rs1411771是外显子剪接增强子,NDEL1 SNP距编码与DISC1蛋白相互作用的NDEL1区域的外显子约3,000 bp,从而为上皮信号验证了可能的生物学基础功能磁共振成像。

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