IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-35974-7.html
   My bibliography  Save this article

Evidence of a causal effect of genetic tendency to gain muscle mass on uterine leiomyomata

Author

Listed:
  • Eeva Sliz

    (University of Oulu
    Biocenter Oulu)

  • Jaakko S. Tyrmi

    (University of Oulu
    Biocenter Oulu)

  • Nilufer Rahmioglu

    (University of Oxford
    University of Oxford)

  • Krina T. Zondervan

    (University of Oxford
    University of Oxford)

  • Christian M. Becker

    (University of Oxford)

  • Outi Uimari

    (Oulu University Hospital
    University of Oulu and Oulu University Hospital
    University of Oulu and Oulu University Hospital)

  • Johannes Kettunen

    (University of Oulu
    Biocenter Oulu)

Abstract

Uterine leiomyomata (UL) are the most common tumours of the female genital tract and the primary cause of surgical removal of the uterus. Genetic factors contribute to UL susceptibility. To add understanding to the heritable genetic risk factors, we conduct a genome-wide association study (GWAS) of UL in up to 426,558 European women from FinnGen and a previous UL meta-GWAS. In addition to the 50 known UL loci, we identify 22 loci that have not been associated with UL in prior studies. UL-associated loci harbour genes enriched for development, growth, and cellular senescence. Of particular interest are the smooth muscle cell differentiation and proliferation-regulating genes functioning on the myocardin-cyclin dependent kinase inhibitor 1 A pathway. Our results further suggest that genetic predisposition to increased fat-free mass may be causally related to higher UL risk, underscoring the involvement of altered muscle tissue biology in UL pathophysiology. Overall, our findings add to the understanding of the genetic pathways underlying UL, which may aid in developing novel therapeutics.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-35974-7
    DOI: 10.1038/s41467-023-35974-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-35974-7
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-35974-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Claudia Giambartolomei & Damjan Vukcevic & Eric E Schadt & Lude Franke & Aroon D Hingorani & Chris Wallace & Vincent Plagnol, 2014. "Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics," PLOS Genetics, Public Library of Science, vol. 10(5), pages 1-15, May.
    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. Christiaan A de Leeuw & Joris M Mooij & Tom Heskes & Danielle Posthuma, 2015. "MAGMA: Generalized Gene-Set Analysis of GWAS Data," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-19, April.
    4. Guanghao Qi & Nilanjan Chatterjee, 2019. "Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    5. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
    6. 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.
    7. 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.
    8. Gao Wang & Abhishek Sarkar & Peter Carbonetto & Matthew Stephens, 2020. "A simple new approach to variable selection in regression, with application to genetic fine mapping," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(5), pages 1273-1300, December.
    9. Gibran Hemani & Kate Tilling & George Davey Smith, 2017. "Orienting the causal relationship between imprecisely measured traits using GWAS summary data," PLOS Genetics, Public Library of Science, vol. 13(11), pages 1-22, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ville Salo & Juhani Määttä & Eeva Sliz & Ene Reimann & Reedik Mägi & Kadri Reis & Abdelrahman G. Elhanas & Anu Reigo & Priit Palta & Tõnu Esko & Jaro Karppinen & Johannes Kettunen, 2024. "Genome-wide meta-analysis conducted in three large biobanks expands the genetic landscape of lumbar disc herniations," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Natalie DeForest & Yuqi Wang & Zhiyi Zhu & Jacqueline S. Dron & Ryan Koesterer & Pradeep Natarajan & Jason Flannick & Tiffany Amariuta & Gina M. Peloso & Amit R. Majithia, 2024. "Genome-wide discovery and integrative genomic characterization of insulin resistance loci using serum triglycerides to HDL-cholesterol ratio as a proxy," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Richard Burns & William J. Young & Nay Aung & Luis R. Lopes & Perry M. Elliott & Petros Syrris & Roberto Barriales-Villa & Catrin Sohrabi & Steffen E. Petersen & Julia Ramírez & Alistair Young & Patri, 2024. "Genetic basis of right and left ventricular heart shape," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    3. Hung-Lin Chen & Hsiu-Yin Chiang & David Ray Chang & Chi-Fung Cheng & Charles C. N. Wang & Tzu-Pin Lu & Chien-Yueh Lee & Amrita Chattopadhyay & Yu-Ting Lin & Che-Chen Lin & Pei-Tzu Yu & Chien-Fong Huan, 2024. "Discovery and prioritization of genetic determinants of kidney function in 297,355 individuals from Taiwan and Japan," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    4. Abolfazl Doostparast Torshizi & Dongnhu T. Truong & Liping Hou & Bart Smets & Christopher D. Whelan & Shuwei Li, 2024. "Proteogenomic network analysis reveals dysregulated mechanisms and potential mediators in Parkinson’s disease," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    5. William R. Reay & Michael P. Geaghan & Murray J. Cairns, 2022. "The genetic architecture of pneumonia susceptibility implicates mucin biology and a relationship with psychiatric illness," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    6. Benjamin B. Sun & Stephanie J. Loomis & Fabrizio Pizzagalli & Natalia Shatokhina & Jodie N. Painter & Christopher N. Foley & Megan E. Jensen & Donald G. McLaren & Sai Spandana Chintapalli & Alyssa H. , 2022. "Genetic map of regional sulcal morphology in the human brain from UK biobank data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    7. Shahram Bahrami & Kaja Nordengen & Jaroslav Rokicki & Alexey A. Shadrin & Zillur Rahman & Olav B. Smeland & Piotr P. Jaholkowski & Nadine Parker & Pravesh Parekh & Kevin S. O’Connell & Torbjørn Elvsås, 2024. "The genetic landscape of basal ganglia and implications for common brain disorders," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    8. Sylvia Hartmann & Summaira Yasmeen & Benjamin M. Jacobs & Spiros Denaxas & Munir Pirmohamed & Eric R. Gamazon & Mark J. Caulfield & Harry Hemingway & Maik Pietzner & Claudia Langenberg, 2023. "ADRA2A and IRX1 are putative risk genes for Raynaud’s phenomenon," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    9. Zhaotong Lin & Wei Pan, 2024. "A robust cis-Mendelian randomization method with application to drug target discovery," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    10. Xingjie Hao & Zhonghe Shao & Ning Zhang & Minghui Jiang & Xi Cao & Si Li & Yunlong Guan & Chaolong Wang, 2023. "Integrative genome-wide analyses identify novel loci associated with kidney stones and provide insights into its genetic architecture," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    11. Isabelle Austin-Zimmerman & Daniel F. Levey & Olga Giannakopoulou & Joseph D. Deak & Marco Galimberti & Keyrun Adhikari & Hang Zhou & Spiros Denaxas & Haritz Irizar & Karoline Kuchenbaecker & Andrew M, 2023. "Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    12. Wenhan Chen & Yang Wu & Zhili Zheng & Ting Qi & Peter M. Visscher & Zhihong Zhu & Jian Yang, 2021. "Improved analyses of GWAS summary statistics by reducing data heterogeneity and errors," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    13. Eva-Maria Stauffer & Richard A. I. Bethlehem & Lena Dorfschmidt & Hyejung Won & Varun Warrier & Edward T. Bullmore, 2023. "The genetic relationships between brain structure and schizophrenia," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    14. Xiaofeng Zhu & Yihe Yang & Noah Lorincz-Comi & Gen Li & Amy R. Bentley & Paul S. de Vries & Michael Brown & Alanna C. Morrison & Charles N. Rotimi & W. James Gauderman & Dabeeru C. Rao & Hugues Aschar, 2024. "An approach to identify gene-environment interactions and reveal new biological insight in complex traits," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    15. Sophie A. Riesmeijer & Zoha Kamali & Michael Ng & Dmitriy Drichel & Bram Piersma & Kerstin Becker & Thomas B. Layton & Jagdeep Nanchahal & Michael Nothnagel & Ahmad Vaez & Hans Christian Hennies & Pau, 2024. "A genome-wide association meta-analysis implicates Hedgehog and Notch signaling in Dupuytren’s disease," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    16. Zhiqiang Sha & Dick Schijven & Amaia Carrion-Castillo & Marc Joliot & Bernard Mazoyer & Simon E. Fisher & Fabrice Crivello & Clyde Francks, 2021. "The genetic architecture of structural left–right asymmetry of the human brain," Nature Human Behaviour, Nature, vol. 5(9), pages 1226-1239, September.
    17. Mary P. LaPierre & Katherine Lawler & Svenja Godbersen & I. Sadaf Farooqi & Markus Stoffel, 2022. "MicroRNA-7 regulates melanocortin circuits involved in mammalian energy homeostasis," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    18. Margaret Sunitha Selvaraj & Xihao Li & Zilin Li & Akhil Pampana & David Y. Zhang & Joseph Park & Stella Aslibekyan & Joshua C. Bis & Jennifer A. Brody & Brian E. Cade & Lee-Ming Chuang & Ren-Hua Chung, 2022. "Whole genome sequence analysis of blood lipid levels in >66,000 individuals," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    19. Ville Salo & Juhani Määttä & Eeva Sliz & Ene Reimann & Reedik Mägi & Kadri Reis & Abdelrahman G. Elhanas & Anu Reigo & Priit Palta & Tõnu Esko & Jaro Karppinen & Johannes Kettunen, 2024. "Genome-wide meta-analysis conducted in three large biobanks expands the genetic landscape of lumbar disc herniations," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    20. Joel T. Rämö & Tuomo Kiiskinen & Richard Seist & Kristi Krebs & Masahiro Kanai & Juha Karjalainen & Mitja Kurki & Eija Hämäläinen & Paavo Häppölä & Aki S. Havulinna & Heidi Hautakangas & Reedik Mägi &, 2023. "Genome-wide screen of otosclerosis in population biobanks: 27 loci and shared associations with skeletal structure," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-35974-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.