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Abstract：
Endometriosis is a gynecological disorder prevalent in women of reproductive age. The primary symptoms include dysmenorrhea, irregular menstruation, and infertility. However, the pathogenesis of endometriosis remains unclear. With the advent of high-throughput technologies, various omics experiments have been conducted to identify genes related to the pathophysiology of endometriosis. This review highlights the molecular mechanisms underlying endometriosis using omics. When genes identified in omics experiments were compared with endometriosis disease genes identified in independent studies, the number of overlapping genes was moderate. However, the characteristics of these genes were found to be equivalent when functional gene set enrichment analysis was performed using gene ontology and biological pathway information. These findings indicate that omics technology provides invaluable information regarding the pathophysiology of endometriosis. Moreover, the functional characteristics revealed using enrichment analysis provide important clues for discovering endometriosis disease genes in future research.
摘要：
子宫内膜异位症是一种常见于育龄妇女的妇科疾病。主要症状包括痛经，月经不调,和不孕症。然而,子宫内膜异位症的发病机制尚不清楚。随着高通量技术的出现，已经进行了各种组学实验来鉴定与子宫内膜异位症病理生理学相关的基因。这篇综述使用组学强调了子宫内膜异位症的分子机制。当将组学实验中鉴定的基因与独立研究中鉴定的子宫内膜异位症疾病基因进行比较时，重叠基因的数量适中.然而,当使用基因本体论和生物通路信息进行功能基因集富集分析时，发现这些基因的特征是等同的。这些发现表明，组学技术提供了有关子宫内膜异位症病理生理学的宝贵信息。此外，富集分析揭示的功能特征为今后研究发现子宫内膜异位症疾病基因提供了重要线索。
