ArticleClinical epigenetics2019
Genetic regulation of methylation in human endometrium and blood and gene targets for reproductive diseases.
Article in Clinical epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Systematic review on the DNA methylation role in endometriosis: current evidence and perspectives.Clinical epigenetics · 2025Pooled it
- The genetic architecture of age at menarche and its causal effects on other traits.Journal of human genetics · 2024Pooled it
- The genetic basis of endometriosis and comorbidity with other pain and inflammatory conditions.Nature genetics · 2023Pooled it
- A multi-level investigation of the genetic relationship between endometriosis and ovarian cancer histotypes.Cell reports. Medicine · 2022Pooled it
- Whole genome methylation profiling of menstrual stem cells identifies novel biomarkers for endometriosis.Communications medicine · 2026Article
- Multi-omics biomarkers in female fertility: from oocyte quality to endometrial receptivity and clinical translation.Biomarker research · 2026Review
- Whole Exome Sequencing Reveals Potential Single Nucleotide Polymorphisms and Copy Number Variations in 26 Sporadic Patients with Immature Teratoma.International journal of general medicine · 2026Article
- M2 Macrophages are Major Mediators of Germline Risk of Endometriosis and Explain Pleiotropy With Comorbid Traits.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Steroid hormone-mediated epigenetic programming during puberty: uncovering links to depression.Epigenomics · 2025Review
- MicroRNA Signatures in Endometrial Receptivity-Unlocking Their Role in Embryo Implantation and IVF Success: A Systematic Review.Biomedicines · 2025Review
- Epigenetic Alterations in Ovarian Function and Their Impact on Assisted Reproductive Technologies: A Systematic Review.Biomedicines · 2025Review
- Cross-Tissue Regulatory Network Analyses Reveal Novel Susceptibility Genes and Potential Mechanisms for Endometriosis.Biology · 2024Article
- QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration.Nature communications · 2024Article
- Global endometrial DNA methylation analysis reveals insights into mQTL regulation and associated endometriosis disease risk and endometrial function.Communications biology · 2023Article
- New concepts on the etiology of endometriosis.The journal of obstetrics and gynaecology research · 2023Article
- Clinical characteristics and surgical management of endometriosis-associated infertility: A multicenter prospective cohort study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2022Article
- A GWAS in Idiopathic/Unexplained Infertile Men Detects a Genomic Region Determining Follicle-Stimulating Hormone Levels.The Journal of clinical endocrinology and metabolism · 2022Article
- Advances in genetic technologies result in improved diagnosis of mismatch repair deficiency in colorectal and endometrial cancers.Journal of medical genetics · 2022Article
- Insights from genomic studies on the role of sex steroids in the aetiology of endometriosis.Reproduction & fertility · 2022Review
- Genetic and epigenetic changes in the eutopic endometrium of women with endometriosis: association with decreased endometrial αvβ3 integrin expression.Molecular human reproduction · 2021Article
Corrections and comments
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Authors and funding
15 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundMajor challenges in understanding the functional consequences of genetic risk factors for human disease are which tissues and cell types are affected and the limited availability of suitable tissue. The aim of this study was to evaluate tissue-specific genotype-epigenetic characteristics in DNA samples from both endometrium and blood collected from women at different stages of the menstrual cycle and relate results to genetic risk factors for reproductive traits and diseases.
resultsWe analysed DNA methylation (DNAm) data from endometrium and blood samples from 66 European women. Methylation profiles were compared between stages of the menstrual cycle, and changes in methylation overlaid with changes in transcription and genotypes. We observed large changes in methylation (27,262 DNAm probes) across the menstrual cycle in endometrium that were not observed in blood. Individual genotype data was tested for association with methylation at 443,016 and 443,101 DNAm probes in endometrium and blood respectively to identify methylation quantitative trait loci (mQTLs). A total of 4546 sentinel cis-mQTLs (P < 1.13 × 10
conclusionsWe report novel findings characterising genetic regulation of methylation in endometrium and the association of endometrial mQTLs with endometriosis risk and other reproductive traits and diseases. The high correlation of genetic effects between tissues highlights the potential to exploit the power of large mQTL datasets in endometrial research and identify target genes for functional studies. However, tissue-specific methylation profiles and genetic effects also highlight the importance of also using disease-relevant tissues when investigating molecular mechanisms of disease risk.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.