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A Genome-Wide Association Study and Complex Network Identify Four Core Hub Genes in Bipolar Disorder

机译:全基因组关联研究和复杂网络识别双相情感障碍中的四个核心枢纽基因

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摘要

Bipolar disorder is a common and severe mental illness with unsolved pathophysiology. A genome-wide association study (GWAS) has been used to find a number of risk genes, but it is difficult for a GWAS to find genes indirectly associated with a disease. To find core hub genes, we introduce a network analysis after the GWAS was conducted. Six thousand four hundred fifty eight single nucleotide polymorphisms (SNPs) with p < 0.01 were sifted out from Wellcome Trust Case Control Consortium (WTCCC) dataset and mapped to 2045 genes, which are then compared with the protein–protein network. One hundred twelve genes with a degree >17 were chosen as hub genes from which five significant modules and four core hub genes (FBXL13, WDFY2, bFGF, and MTHFD1L) were found. These core hub genes have not been reported to be directly associated with BD but may function by interacting with genes directly related to BD. Our method engenders new thoughts on finding genes indirectly associated with, but important for, complex diseases.
机译:躁郁症是一种常见的严重精神疾病,病理生理学尚未解决。全基因组关联研究(GWAS)已用于发现许多风险基因,但是GWAS很难找到与疾病间接相关的基因。为了找到核心中枢基因,我们在进行GWAS之后引入了网络分析。从Wellcome Trust病例对照协会(WTCCC)数据集中筛选出p <0.01的648个单核苷酸多态性(SNP),并将其映射到2045个基因,然后与蛋白质-蛋白质网络进行比较。选择112个度数大于17的基因作为中枢基因,从中找到五个重要模块和四个核心中枢基因(FBXL13,WDFY2,bFGF和MTHFD1L)。这些核心中枢基因尚未被报道与BD直接相关,但可能通过与与BD直接相关的基因相互作用而起作用。我们的方法引发了关于寻找与复杂疾病间接相关但对复杂疾病重要的基因的新思路。

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