Costas Javier, Suárez-Rama Jose Javier, Carrera Noa, Paz Eduardo, Páramo Mario, Agra Santiago, Brenlla Julio, Ramos-Ríos Ramón, Arrojo Manuel
Servizo Galego de Saúde (SERGAS), Instituto de Investigación Sanitaria de Santiago, Complexo Hospitalario Universitario de Santiago (CHUS), Santiago de Compostela, Spain; Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain.
Ann Hum Genet. 2013 Nov;77(6):504-12. doi: 10.1111/ahg.12037. Epub 2013 Jul 30.
A balanced translocation affecting DISC1 cosegregates with several psychiatric disorders, including schizophrenia, in a Scottish family. DISC1 is a hub protein of a network of protein-protein interactions involved in multiple developmental pathways within the brain. Gene set-based analysis has been proposed as an alternative to individual analysis of single nucleotide polymorphisms (SNPs) to get information from genome-wide association studies. In this work, we tested for an overrepresentation of the DISC1 interacting proteins within the top results of our ranked list of genes based on our previous genome-wide association study of missense SNPs in schizophrenia. Our data set consisted of 5100 common missense SNPs genotyped in 476 schizophrenic patients and 447 control subjects from Galicia, NW Spain. We used a modification of the Gene Set Enrichment Analysis adapted for SNPs, as implemented in the GenGen software. The analysis detected an overrepresentation of the DISC1 interacting proteins (permuted P-value=0.0158), indicative of the role of this gene set in schizophrenia risk. We identified seven leading-edge genes, MACF1, UTRN, DST, DISC1, KIF3A, SYNE1, and AKAP9, responsible for the overrepresentation. These genes are involved in neuronal cytoskeleton organization and intracellular transport through the microtubule cytoskeleton, suggesting that these processes may be impaired in schizophrenia.
在一个苏格兰家族中,一种影响DISC1的平衡易位与包括精神分裂症在内的多种精神疾病共分离。DISC1是一个蛋白质-蛋白质相互作用网络的枢纽蛋白,该网络参与大脑内的多种发育途径。基于基因集的分析已被提议作为对单核苷酸多态性(SNP)进行个体分析的替代方法,以便从全基因组关联研究中获取信息。在这项工作中,我们根据之前对精神分裂症错义SNP的全基因组关联研究,在我们按排名列出的基因结果中,测试了DISC1相互作用蛋白的过度富集情况。我们的数据集由在来自西班牙西北部加利西亚的476名精神分裂症患者和447名对照受试者中进行基因分型的5100个常见错义SNP组成。我们使用了GenGen软件中实现的适用于SNP的基因集富集分析的一种修改方法。该分析检测到DISC1相互作用蛋白的过度富集(置换P值=0.0158),表明该基因集在精神分裂症风险中的作用。我们确定了七个前沿基因,MACF1、UTRN、DST、DISC1、KIF3A、SYNE1和AKAP9,它们导致了这种过度富集。这些基因参与神经元细胞骨架组织和通过微管细胞骨架的细胞内运输,这表明这些过程在精神分裂症中可能受损。