子宫内膜异位症
组学
疾病
月经
生物信息学
基因本体论
不育
基因
计算生物学
候选基因
生物
医学
遗传学
内科学
基因表达
怀孕
出处
期刊:Biomedicines
[MDPI AG]
日期:2023-08-07
卷期号:11 (8): 2210-2210
被引量:1
标识
DOI:10.3390/biomedicines11082210
摘要
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.
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