Genome-wide association studies (GWAS) have identified markers within the WNT4 region on chromosome 1p36.12 showing consistent and strong association with increasing endometriosis risk. Fine mapping using sequence and imputed genotype data has revealed strong candidates for the causal SNPs within these critical regions; however, the molecular pathogenesis of these SNPs is currently unknown. We used gene expression data collected from whole blood from 862 individuals and endometrial tissue from 136 individuals from independent populations of European descent to examine the mechanism underlying endometriosis susceptibility. Association mapping results from 7,090 individuals (2,594 cases and 4,496 controls) supported rs3820282 as the SNP with the strongest association for endometriosis risk (P = 1.84 × 10−5, OR = 1.244 (1.126-1.375)). SNP rs3820282 is a significant eQTL in whole blood decreasing expression of LINC00339 (also known as HSPC157) and increasing expression of CDC42 (P = 2.0 ×10−54 and 4.5x10−4 respectively). The largest effects were for two LINC00339 probes (P = 2.0 ×10−54; 1.0 × 10−34). The eQTL for LINC00339 was also observed in endometrial tissue (P = 2.4 ×10−8) with the same direction of effect for both whole blood and endometrial tissue. There was no evidence for eQTL effects for WNT4. Chromatin conformation capture provides evidence for risk SNPs interacting with the promoters of both LINC00339 and CDC4 and luciferase reporter assays suggest the risk SNP rs12038474 is located in a transcriptional silencer for CDC42 and the risk allele increases expression of CDC42. However, no effect of rs3820282 was observed in the LINC00339 expression in Ishikawa cells. Taken together, our results suggest that SNPs increasing endometriosis risk in this region act through CDC42, but further functional studies are required to rule out inverse regulation of both LINC00339 and CDC42.
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http://dx.doi.org/10.1093/hmg/ddw320 | DOI Listing |
AJOG Glob Rep
February 2025
University of Texas Southwestern, Dallas, TX (Cohen, Ho, McIntire, Smith, and Kho).
Introduction: The use of generative artificial intelligence (AI) has begun to permeate most industries, including medicine, and patients will inevitably start using these large language model (LLM) chatbots as a modality for education. As healthcare information technology evolves, it is imperative to evaluate chatbots and the accuracy of the information they provide to patients and to determine if there is variability between them.
Objective: This study aimed to evaluate the accuracy and comprehensiveness of three chatbots in addressing questions related to endometriosis and determine the level of variability between them.
Medicine (Baltimore)
November 2024
Department of Gynecology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Endometriosis (EMs) is a common gynecological disease accompanied by metabolic disturbances. However, the causality between metabolites and the risk of EMs remains unclear. We conducted a 2-sample Mendelian randomization (MR) analysis using the publicly available genome-wide association study (GWAS) of 486 circulating metabolites and EMs.
View Article and Find Full Text PDFActas Esp Psiquiatr
January 2025
Department of Obstetrics and Gynecology, Lanzhou University Second Hospital, 730000 Lanzhou, Gansu, China.
Background: Endometriosis often causes chronic pain and fertility issues, exacerbating the risk of depression and complicating conditions like rheumatoid arthritis, which further impacts quality of life. This study aimed to explore the detection rate of depression in patients with endometriosis and rheumatoid arthritis by using different diagnostic criteria, and to analyze the occurrence and influencing factors.
Method: A total of 108 patients with endometriosis combined with rheumatoid arthritis in the First Hospital of Lanzhou University from July 2021 to July 2023 were selected as samples.
Endometriosis is a chronic disease characterised by the presence of endometrial tissue outside the uterine cavity, affecting 5-15% of women, especially those of reproductive age. The disease may manifest itself as dysmenorrhoea, dyspareunia, sterility and chronic pelvic pain, among other symptoms. Although it is not malignant, it shares some characteristics with cancer and can lead to epithelial ovarian carcinoma.
View Article and Find Full Text PDFStudy Question: Does endometriosis affect the mental health of women using oral contraceptives?
Summary Answer: Among oral contraceptive users, women with endometriosis have a higher risk of depression compared to those without endometriosis, although the absolute risk increase is small.
What Is Known Already: Previous studies have suggested a potential link between endometriosis and mental health issues, but the impact of endometriosis on depression among oral contraceptive users remains unclear.
Study Design, Size, Duration: A secondary pooled cohort study utilizing data from two longitudinal patient-centric studies (INAS-VIPOS and PRO-E2) was conducted across 11 European countries, Colombia and Australia.
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