{"paper_id":"01c38141-4941-4941-8b16-e7e8fa190ee5","body_text":"Dataset from a Systematic Literature Review and Meta-Analysis of Genetic Factors in Endometriosis\nDescription\nDescription\nThis dataset accompanies a systematic literature review (SLR) and meta-analysis examining the role of genetic factors in endometriosis. The central research question was: “To what degree is endometriosis a hereditary disease?”\nSystematic searches were conducted using the Medical Subject Headings (MeSH) terms: (“endometriosis”) AND (gene OR associated gene OR genetics OR hereditary OR inheritance). The dataset contains extracted study-level information, risk of bias assessments, and pooled results from included studies. It has been structured to promote transparency, reproducibility, and secondary analyses within the field of endometriosis genetics.\nObjective\nThe dataset provides a curated and structured collection of studies examining genetic associations with endometriosis. By making this data openly available, it supports replication, data reuse, and further investigations into the genetic basis of endometriosis.\nMethods\n-\nSearch strategy: Searches were conducted in PubMed, Cochrane Library, Scopus, Medline, and CINAHL Ultimate up to March 20, 2025.\n-\nInclusion criteria: Studies involving reproductive-aged women (15–49 years) with surgically confirmed endometriosis and reporting genetic traits, gene mutations, gene expression, or inheritance patterns.\n-\nExclusion criteria: Non-human studies (animal or cell line); studies on adenomyosis or ovarian cancer; drug-related studies; those lacking genetic or inheritance components; case studies, reviews, or meta-analyses; articles without full-text access; publications in languages other than English; or studies with <10 participants or unreported sample size.\n-\nData extraction: Study design, population characteristics, genetic factors, and outcomes were extracted.\n-\nAnalysis: Where feasible, meta-analyses pooled effect sizes using a random-effects model.\nSupplementary Data\n-\nSupplementary Data I: Protocol\n-\nSupplementary Data II: Systematic Literature Review (one page per step of the process)\n-\nSupplementary Data III: Newcastle-Ottawa Scale (NOS) assessment scoring\n-\nSupplementary Data IV: Data Extraction and Analysis\nCitation\nIf you use this dataset, please cite as:\nSulayman, H. (2025) ‘Dataset from a Systematic Literature Review and Meta-Analysis of Genetic Factors in Endometriosis’. Zenodo. doi:10.5281/zenodo.17100919\nFiles\nFiles\n(7.1 MB)\n| Name | Size | Download all |\n|---|---|---|\n|\nmd5:f036661d99b8c9d98ea61aeb8c1878fb\n|\n390.6 kB | Download |\n|\nmd5:26802d2bc27c0914c8824ec800ad71a8\n|\n318.5 kB | Download |\n|\nmd5:229f2ee9926f7ca7719c327692938ace\n|\n32.6 kB | Download |\n|\nmd5:a3d04c424714bbc6a838c123f7a92092\n|\n6.3 MB | Download |","source_license":"CC0","license_restricted":false}