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全基因组关联研究鉴定出的痛风易感位点的富集分析及染色体分布

Enrichment analysis and chromosomal distribution of gout susceptible loci identified by genome-wide association studies.

作者信息

Saadat Mostafa

机构信息

Department of Biology, School of Science, Shiraz University, Shiraz 71467-13565, Iran.

出版信息

EXCLI J. 2023 Nov 14;22:1146-1154. doi: 10.17179/excli2023-6481. eCollection 2023.

Abstract

Gout is an inherited and common inflammatory arthritic disease. Many researchers will identify polymorphic loci of gout susceptibility by conducting genome-wide association studies (GWAS). In the present study, the enrichment analysis and chromosomal distribution were performed using predicted polymorphic loci associated with gout risk. The polymorphic loci associated to gout were obtained from the GWAS database. Overall, this database contains 64,806 gout patients and 2,856,174 controls. Gene ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed by using the Enrichr online server. A total of 110 common polymorphic protein-coding loci associated with gout risk were identified and included in the analysis. The results of the KEGG analysis showed that the gout-associated loci were mainly related to ABC transporters, endocrine and other factor-regulated calcium reabsorption, and gastric acid secretion pathways. The gene ontology analysis showed that the biological processes of the gout-associated loci were vascular transport, transport across the blood-brain barrier, positive regulation of transporter activity, and positive regulation of transcription by RNA polymerase II. The top cellular component was the external side of the apical plasma membrane. Statistical analysis revealed that the human chromosome segments 1q22, 4p16.1, 6p21.1-p21.2, 11q13.1-q13.2, 12q13.11-q13.3, and 12q24.1 had significantly bearing higher numbers of gout susceptibility loci.

摘要

痛风是一种遗传性常见炎性关节炎疾病。许多研究人员将通过开展全基因组关联研究(GWAS)来确定痛风易感性的多态性位点。在本研究中,使用与痛风风险相关的预测多态性位点进行了富集分析和染色体分布分析。与痛风相关的多态性位点来自GWAS数据库。总体而言,该数据库包含64806例痛风患者和2856174例对照。使用Enrichr在线服务器进行基因本体功能注释和京都基因与基因组百科全书(KEGG)通路分析。共鉴定出110个与痛风风险相关的常见多态性蛋白质编码位点并纳入分析。KEGG分析结果表明,与痛风相关的位点主要与ABC转运蛋白、内分泌及其他因子调节的钙重吸收以及胃酸分泌通路有关。基因本体分析表明,与痛风相关的位点的生物学过程为血管运输、血脑屏障跨膜运输、转运蛋白活性的正调控以及RNA聚合酶II对转录的正调控。顶级细胞成分是顶端质膜外侧。统计分析显示,人类染色体片段1q22、4p16.1、6p21.1 - p21.2、11q13.1 - q13.2、12q13.11 - q13.3和12q24.1携带的痛风易感位点数量显著更多。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e189/10776878/6954f217b0f5/EXCLI-22-1146-t-001.jpg

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