Suppr超能文献

DISC1、CIT 和 NDEL1 之间存在统计学上位性影响精神分裂症风险的证据:功能神经影像学的生物学验证。

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

机构信息

Genes, Cognition and Psychosis Program, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.

出版信息

Hum Genet. 2010 Apr;127(4):441-52. doi: 10.1007/s00439-009-0782-y.

Abstract

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 andMonteCarlo 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 theDISC1 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.

摘要

精神分裂症的病因可能涉及遗传相互作用。DISC1 是一个有希望的候选易感基因,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罗逻辑回归)在精神分裂症病例对照研究中检测这些基因之间的上位性。MLA 的收敛揭示了一组七个 SNP,这些 SNP 经过似然比检验用于嵌套无条件逻辑回归模型的 2-SNP 相互作用建模。在 7C2 = 21 个相互作用中,有四个在α = 0.05 水平上具有统计学意义: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;一个通过 Bonferroni 校正幸存下来(NDEL1 rs4791707-CIT rs10744743 OR = 4.44(2.22,8.88)p = 0.00013)。通过在一组独立的健康对照者中的功能性磁共振成像(fMRI)验证了四个相互作用中的三个;在 N-back 任务中,与风险相关的等位基因位于两个 SNP 处,预测前额叶皮层效率低下,这是一种与精神分裂症相关的中间生物学表型:rs3847960-rs440299;rs1411771-rs10744743,rs4791707-rs10744743(SPM5 p < 0.05,校正),尽管我们无法在其他临床样本中统计学上复制这些相互作用。有趣的是,CIT SNPs 位于编码 DISC1 相互作用域的外显子附近。此外,3'UTR DISC1 rs1411771 预测为外显子剪接增强子,而 NDEL1 SNP 距离编码与 DISC1 蛋白相互作用的 NDEL1 区域的外显子约 3000bp,为 fMRI 验证的上位信号提供了合理的生物学基础。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验