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

IF 3.8 3区 生物学 Q1 BIOLOGY
EXCLI Journal Pub Date : 2023-11-14 eCollection Date: 2023-01-01 DOI:10.17179/excli2023-6481
Mostafa Saadat
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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.

全基因组关联研究确定的痛风易感位点的富集分析和染色体分布。
痛风是一种遗传性常见炎症性关节炎疾病。许多研究人员会通过开展全基因组关联研究(GWAS)来确定痛风易感性的多态位点。在本研究中,利用预测的与痛风风险相关的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 64 806 例痛风患者和 2 856 174 例对照。利用 Enrichr 在线服务器进行了基因本体功能注释和京都基因组百科全书(KEGG)通路分析。共确定了110个与痛风风险相关的常见多态蛋白编码位点,并将其纳入分析。KEGG分析结果显示,痛风相关基因位点主要与ABC转运体、内分泌和其他因素调控的钙重吸收以及胃酸分泌途径有关。基因本体分析表明,痛风相关基因位点的生物学过程为血管转运、跨血脑屏障转运、转运体活性的正向调控以及 RNA 聚合酶 II 对转录的正向调控。最重要的细胞成分是顶端质膜的外侧。统计分析表明,人类染色体的 1q22、4p16.1、6p21.1-p21.2、11q13.1-q13.2、12q13.11-q13.3 和 12q24.1 段的痛风易感基因座数量明显较多。
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来源期刊
EXCLI Journal
EXCLI Journal BIOLOGY-
CiteScore
8.00
自引率
2.20%
发文量
65
审稿时长
6-12 weeks
期刊介绍: EXCLI Journal publishes original research reports, authoritative reviews and case reports of experimental and clinical sciences. The journal is particularly keen to keep a broad view of science and technology, and therefore welcomes papers which bridge disciplines and may not suit the narrow specialism of other journals. Although the general emphasis is on biological sciences, studies from the following fields are explicitly encouraged (alphabetical order): aging research, behavioral sciences, biochemistry, cell biology, chemistry including analytical chemistry, clinical and preclinical studies, drug development, environmental health, ergonomics, forensic medicine, genetics, hepatology and gastroenterology, immunology, neurosciences, occupational medicine, oncology and cancer research, pharmacology, proteomics, psychiatric research, psychology, systems biology, toxicology
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