首页> 外文会议>International Conference on Computer Science and Engineering >İmmün Bağlantılı Hastalıklarda Aktif Alt Ağ Araması ile Ortak Hastalık Oluşum Mekanizmalarının Tespiti : Identification of Shared Pathways Among Immune Related Diseases Utilizing Active Subnetworks
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İmmün Bağlantılı Hastalıklarda Aktif Alt Ağ Araması ile Ortak Hastalık Oluşum Mekanizmalarının Tespiti : Identification of Shared Pathways Among Immune Related Diseases Utilizing Active Subnetworks

机译:利用主动子网识别免疫相关疾病之间的共享途径

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Different, but related diseases often contain shared symptoms indicating the presence of possible overlaps in underlying pathogenic mechanisms. The identification of the shared pathways and related factors across these diseases helps to better understand the causes of these diseases, to prevent and treat these diseases. In this study, using immune-related diseases, we proposed a new method on how to compare the development mechanisms of related diseases based on biological pathways. Following the developments in genomic technologies, the genotyping gets cheaper and easier, and hence genome-wide association studies (GWAS) emerged. By this means, via studying big-sized case-control groups for a specific disease, potential genetic variations, single nucleotide polymorphisms (SNPs) could be identified. With the help of these studies, in which around a million of SNPs are scanned, the variations and genes that could have a role in specific disease development could be detected. In this study, via using available GWAS datasets and human protein-protein interaction network, and via detecting active subnetworks and affected pathways, seven immune related diseases are analyzed. Via investigating the similarities among the identified pathways for related diseases, we aim to define the underlying pathogenic mechanisms, and hence to contribute to the elucidation of disease development mechanisms and to the drug repositioning studies.
机译:不同但相关的疾病通常包含共同的症状,表明潜在的致​​病机制可能存在重叠。跨这些疾病的共享途径和相关因素的识别有助于更好地了解这些疾病的病因,预防和治疗这些疾病。在这项研究中,我们利用免疫相关疾病,提出了一种新方法,该方法可以比较基于生物学途径的相关疾病的发展机制。随着基因组技术的发展,基因分型变得越来越便宜和容易,因此出现了全基因组关联研究(GWAS)。通过这种方式,通过研究大型病例对照组的特定疾病,潜在的遗传变异,单核苷酸多态性(SNP),可以识别出这些疾病。借助这些研究,其中扫描了大约一百万个SNP,可以检测到可能在特定疾病发展中起作用的变异和基因。在这项研究中,通过使用可用的GWAS数据集和人类蛋白质-蛋白质相互作用网络,以及通过检测活动的子网和受影响的途径,分析了7种与免疫相关的疾病。通过调查已确定的相关疾病途径之间的相似性,我们旨在定义潜在的致病机制,从而为阐明疾病发展机制和药物重新定位研究做出贡献。

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