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Genome-wide meta-analysis identifies novel risk loci for uterine fibroids within and across multiple ancestry groups

Author

Listed:
  • Jeewoo Kim

    (Vanderbilt University Medical Center
    Vanderbilt University School of Medicine
    Vanderbilt University Medical Center
    Vanderbilt University)

  • Ariel Williams

    (National Institute of Health)

  • Hannah Noh

    (Tufts University Medical School Graduate Programs
    Vanderbilt University)

  • Elizabeth A. Jasper

    (Vanderbilt University Medical Center
    Vanderbilt University Medical Center)

  • Sarah H. Jones

    (Vanderbilt University Medical Center)

  • James A. Jaworski

    (Vanderbilt University
    Vanderbilt University Medical Center)

  • Megan M. Shuey

    (Vanderbilt University Medical Center)

  • Edward A. Ruiz-Narváez

    (Department of Nutritional Sciences University of Michigan School of Public Health)

  • Lauren A. Wise

    (Boston University School of Public Health)

  • Julie R. Palmer

    (Slone Epidemiology Center at Boston University)

  • John Connolly

    (Children’s Hospital of Philadelphia)

  • Jacob M. Keaton

    (National Institute of Health
    Vanderbilt University Medical Center)

  • Joshua C. Denny

    (National Institute of Health
    National Institutes of Health)

  • Atlas Khan

    (Columbia University)

  • Mohammad A. Abbass

    (Northwestern University Feinberg School of Medicine)

  • Laura J. Rasmussen-Torvik

    (Northwestern University Feinberg School of Medicine)

  • Leah C. Kottyan

    (University of Cincinnati)

  • Purnima Madhivanan

    (University of Arizona Comprehensive Cancer Center
    University of Arizona
    Public Health Research Institute of India
    University of Arizona)

  • Karl Krupp

    (University of Arizona Comprehensive Cancer Center
    Public Health Research Institute of India
    Mel & Enid Zuckerman College of Public Health)

  • Wei-Qi Wei

    (Vanderbilt University Medical Center)

  • Todd L. Edwards

    (Vanderbilt University Medical Center)

  • Digna R. Velez Edwards

    (Vanderbilt University Medical Center
    Vanderbilt University Medical Center
    Vanderbilt University Medical Center
    Vanderbilt University Medical Center)

  • Jacklyn N. Hellwege

    (Vanderbilt University Medical Center
    Vanderbilt University
    Vanderbilt University Medical Center)

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.

Suggested Citation

  • Jeewoo Kim & Ariel Williams & Hannah Noh & Elizabeth A. Jasper & Sarah H. Jones & James A. Jaworski & Megan M. Shuey & Edward A. Ruiz-Narváez & Lauren A. Wise & Julie R. Palmer & John Connolly & Jacob, 2025. "Genome-wide meta-analysis identifies novel risk loci for uterine fibroids within and across multiple ancestry groups," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57483-5
    DOI: 10.1038/s41467-025-57483-5
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    References listed on IDEAS

    as
    1. Eeva Sliz & Jaakko S. Tyrmi & Nilufer Rahmioglu & Krina T. Zondervan & Christian M. Becker & Outi Uimari & Johannes Kettunen, 2023. "Evidence of a causal effect of genetic tendency to gain muscle mass on uterine leiomyomata," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    2. Thorunn Rafnar & Bjarni Gunnarsson & Olafur A. Stefansson & Patrick Sulem & Andres Ingason & Michael L. Frigge & Lilja Stefansdottir & Jon K. Sigurdsson & Vinicius Tragante & Valgerdur Steinthorsdotti, 2018. "Variants associating with uterine leiomyoma highlight genetic background shared by various cancers and hormone-related traits," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    3. Mitja I. Kurki & Juha Karjalainen & Priit Palta & Timo P. Sipilä & Kati Kristiansson & Kati M. Donner & Mary P. Reeve & Hannele Laivuori & Mervi Aavikko & Mari A. Kaunisto & Anu Loukola & Elisa Lahtel, 2023. "Author Correction: FinnGen provides genetic insights from a well-phenotyped isolated population," Nature, Nature, vol. 615(7952), pages 19-19, March.
    4. C. S. Gallagher & N. Mäkinen & H. R. Harris & N. Rahmioglu & O. Uimari & J. P. Cook & N. Shigesi & T. Ferreira & D. R. Velez-Edwards & T. L. Edwards & S. Mortlock & Z. Ruhioglu & F. Day & C. M. Becker, 2019. "Genome-wide association and epidemiological analyses reveal common genetic origins between uterine leiomyomata and endometriosis," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    5. Kyoko Watanabe & Erdogan Taskesen & Arjen Bochoven & Danielle Posthuma, 2017. "Functional mapping and annotation of genetic associations with FUMA," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
    6. Mitja I. Kurki & Juha Karjalainen & Priit Palta & Timo P. Sipilä & Kati Kristiansson & Kati M. Donner & Mary P. Reeve & Hannele Laivuori & Mervi Aavikko & Mari A. Kaunisto & Anu Loukola & Elisa Lahtel, 2023. "FinnGen provides genetic insights from a well-phenotyped isolated population," Nature, Nature, vol. 613(7944), pages 508-518, January.
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