SynthesisNature communications2025
Genome-wide meta-analysis identifies novel risk loci for uterine fibroids within and across multiple ancestry groups.
Synthesis in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis 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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multi-omics Approaches for Biomarker Discovery of Uterine Fibroids: A Systematic Review.Advances in therapy · 2026Pooled it
- From polygenic risk to functional genomics: a framework for precision gynecological disease modeling.Nature communications · 2026Review
- Association of Uterine Fibroids GWAS-Significant Loci rs11031731 THEM7P/WT1 and rs58415480 SYNE1 with the Risk of Obesity.Bulletin of experimental biology and medicine · 2026Article
- Article
- Development of a blood test for uterine sarcoma-Diagnosis and monitoring (DOORS-D and DOORS-M) studies.PloS one · 2026Article
- GWAS for Periodontitis Phenotypes Using Multi-Ancestry All of Us Research Platform.medRxiv : the preprint server for health sciences · 2025Article
Corrections and comments
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Authors and funding
23 authors.
Funding
Abstract
Uterine leiomyomata or fibroids are highly heritable, common, and benign tumors of the uterus with poorly understood etiology. Previous GWAS have reported 72 associated genes but included limited numbers of non-European individuals. Here, we identify 11 novel genes associated with fibroids across multi-ancestry and ancestry-stratified GWAS analyses. We replicate a known fibroid GWAS gene in African ancestry individuals and estimate the SNP-based heritability of fibroids in African ancestry populations as 15.9%. Using genetically predicted gene expression and colocalization analyses, we identify 46 novel genes associated with fibroids. These genes are significantly enriched in cancer, cell death and survival, reproductive system disease, and cellular growth and proliferation networks. We also find that increased predicted expression of HEATR3 in uterine tissue is associated with fibroids across ancestry strata. Overall, we report genetic variants associated with fibroids coupled with functional and gene pathway enrichment analyses.
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Registered trials
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