Preview

Медицинская генетика

Расширенный поиск
Доступ открыт Открытый доступ  Доступ закрыт Только для подписчиков

Патогенетика миомы матки: обзор полногеномных исследований ассоциаций

https://doi.org/10.25557/2073-7998.2026.07.3-11

Аннотация

Миома матки (ММ) – наиболее распространенная доброкачественная опухоль репродуктивной системы, этиология и патогенез которой остаются не полностью раскрытыми. За последние 15 лет полногеномные исследования ассоциаций (GWAS) стали основным инструментом выявления локусов генетического риска. Цель обзора – оценить вклад GWAS в изучение ММ, проанализировать эволюцию подходов и определить связь выявленных локусов с молекулярными механизмами заболевания. По данным GWAS Catalog, PubMed и eLibrary отобраны 13 GWAS-исследований и ряд репликативных работ. GWAS идентифицировали сотни локусов, вовлеченных в поддержание стабильности генома (TP53, TERT), развитие мочеполовой системы (WNT4, MED12), гормональную регуляцию (GREB1) и другие процессы. Показаны генетическое перекрытие ММ с эндометриозом и репродуктивными признаками, а также этноспецифичные эффекты, однако количество репликативных исследований остается ограниченным. Намечается переход от изучения изолированных локусов к интеграции сигналов в патофизиологические пути, что требует дальнейших подтверждающих исследований в независимых популяциях.

Об авторах

Л. А. Глянцева
ФГБОУ ВО Курский государственный медицинский университет Минздрава России
Россия

305041, г. Курск, ул. К. Маркса, д.3



Ю. А. Самойленко
ФГБОУ ВО Курский государственный медицинский университет Минздрава России
Россия

305041, г. Курск, ул. К. Маркса, д.3



А. О. Улинова
ФГБОУ ВО Курский государственный медицинский университет Минздрава России
Россия

305041, г. Курск, ул. К. Маркса, д.3



М. О. Солдатова
ФГБОУ ВО Курский государственный медицинский университет Минздрава России
Россия

305041, г. Курск, ул. К. Маркса, д.3



О. Ю. Бушуева
ФГБОУ ВО Курский государственный медицинский университет Минздрава России
Россия

305041, г. Курск, ул. К. Маркса, д.3



Список литературы

1. Giuliani E., As-Sanie S., Marsh E.E. Epidemiology and management of uterine fibroids. Int J Gynecol Obstet 2020;149:3–9. https://doi.org/10.1002/ijgo.13102.

2. Li B., Wang F., Chen L., Tong H. Global epidemiological characteristics of uterine fibroids. Arch Med Sci AMS 2023;19:1802–10. https://doi.org/10.5114/aoms/171786.

3. Narwal S., Vashist M., Kaushik R., et al. A Systematic Review on Uterine Leiomyoma: From Pathogenomics to Therapeutics. Soft Tissue Sarcoma Leiomyoma - Diagn. Manag. New Perspect., IntechOpen; 2024. https://doi.org/10.5772/intechopen.1002877.

4. Pavone D., Clemenza S., Sorbi F., et al. Epidemiology and Risk Factors of Uterine Fibroids. Best Pract Res Clin Obstet Gynaecol 2018;46:3–11. https://doi.org/10.1016/j.bpobgyn.2017.09.004.

5. Stewart E.A., Cookson C.L., Gandolfo R.A., Schulze-Rath R. Epidemiology of uterine fibroids: a systematic review. BJOG Int J Obstet Gynaecol 2017;124:1501–12. https://doi.org/10.1111/1471-0528.14640.

6. Wise L.A., Laughlin-Tommaso S.K. Epidemiology of Uterine Fibroids: From Menarche to Menopause. Clin Obstet Gynecol 2016;59:2. https://doi.org/10.1097/GRF.0000000000000164.

7. Ahmad A., Kumar M., Bhoi N.R., et al. Diagnosis and management of uterine fibroids: current trends and future strategies. J Basic Clin Physiol Pharmacol 2023;34:291–310. https://doi.org/10.1515/jb-cpp-2022-0219.

8. Coutinho L.M., Assis W.A., Spagnuolo-Souza A., Reis F.M. Uterine Fibroids and Pregnancy: How Do They Affect Each Other? Reprod Sci Thousand Oaks Calif 2022;29:2145–51. https://doi.org/10.1007/s43032-021-00656-6.

9. Zepiridis L.I., Grimbizis G.F., Tarlatzis B.C. Infertility and uterine fibroids. Best Pract Res Clin Obstet Gynaecol 2016;34:66–73. https://doi.org/10.1016/j.bpobgyn.2015.12.001.

10. Zimmermann A., Bernuit D., Gerlinger C., et al. Prevalence, symptoms and management of uterine fibroids: an international internet-based survey of 21,746 women. BMC Womens Health 2012;12:6. https://doi.org/10.1186/1472-6874-12-6.

11. Luoto R., Kaprio J., Rutanen E.M., et al. Heritability and risk factors of uterine fibroids--the Finnish Twin Cohort study. Maturitas 2000;37:15–26. https://doi.org/10.1016/s0378-5122(00)00160-2.

12. Sato F., Mori M., Nishi M., et al. Familial Aggregation of Uterine Myomas in Japanese Women. J Epidemiol 2002;12:249–53. https://doi.org/10.2188/jea.12.249.

13. Commandeur A.E., Styer A.K., Teixeira J.M. Epidemiological and genetic clues for molecular mechanisms involved in uterine leiomyoma development and growth. Hum Reprod Update 2015;21:593– 615. https://doi.org/10.1093/humupd/dmv030.

14. Alali O.M., Churnosov M.I. Genome-wide studies of uterine leiomyomas. Obstet Gynecol 2023:28–38. https://doi.org/10.18565/aig.2023.156.

15. Dolmans M.-M., Petraglia F., Catherino W.H., Donnez J. Pathogenesis of uterine fibroids: current understanding and future directions. Fertil Steril 2024;122:6–11. https://doi.org/10.1016/j.fertn-stert.2024.02.048.

16. Ali M., Stone D., Laknaur A., et al. EZH2 activates Wnt/β-catenin signaling in human uterine fibroids, which is inhibited by the natural compound methyl jasmonate. FS Sci 2023;4:239–56. https://doi.org/10.1016/j.xfss.2023.05.003.

17. Ciebiera M., Włodarczyk M., Wrzosek M., et al. Role of Transforming Growth Factor β in Uterine Fibroid Biology. Int J Mol Sci 2017;18:2435. https://doi.org/10.3390/ijms18112435.

18. Cha P.C., Takahashi A., Hosono N., et al. A genome-wide association study identifies three loci associated with susceptibility to uterine fibroids. Nat Genet 2011;43:447–50. https://doi.org/10.1038/ng.805.

19. Hellwege J.N., Jeff J.M., Wise L.A., et al. A multi-stage genome-wide association study of uterine fibroids in African Americans. Hum Genet 2017;136:1363–73. https://doi.org/10.1007/s00439-017-1836-1.

20. Rafnar T., Gunnarsson B., Stefansson O.A., et al. Variants associating with uterine leiomyoma highlight genetic background shared by various cancers and hormone-related traits. Nat Commun 2018;9:3636. https://doi.org/10.1038/s41467-018-05428-6.

21. Välimäki N., Kuisma H., Pasanen A., et al. Genetic predisposition to uterine leiomyoma is determined by loci for genitourinary development and genome stability. eLife 2018;7:e37110. https://doi.org/10.7554/eLife.37110.

22. Edwards T.L., Giri A., Hellwege J.N., et al. A Trans-Ethnic Genome-Wide Association Study of Uterine Fibroids. Front Genet 2019;10:511. https://doi.org/10.3389/fgene.2019.00511.

23. Gallagher C.S., Mäkinen N., Harris H.R., et al. Genome-wide association and epidemiological analyses reveal common genetic origins between uterine leiomyomata and endometriosis. Nat Commun 2019;10:4857. https://doi.org/10.1038/s41467-019-12536-4.

24. Ishigaki K., Akiyama M., Kanai M., et al. Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases. Nat Genet 2020;52:669–79. https://doi.org/10.1038/s41588-020-0640-3.

25. Masuda T., Low S.-K., Akiyama M., et al. GWAS of five gynecologic diseases and cross-trait analysis in Japanese. Eur J Hum Genet 2020;28:95–107. https://doi.org/10.1038/s41431-019-0495-1.

26. Sakaue S., Kanai M., Tanigawa Y., et al. A cross-population atlas of genetic associations for 220 human phenotypes. Nat Genet 2021;53:1415–24. https://doi.org/10.1038/s41588-021-00931-x.

27. Kiewa J., Mortlock S., Meltzer-Brody S., et al. A Common Genetic Factor Underlies Genetic Risk for Gynaecological and Reproductive Disorders and Is Correlated with Risk to Depression. Neuroendocrinology 2023;113:1059–75. https://doi.org/10.1159/000533413.

28. Xiao C., Wu X., Gallagher C.S., et al. Genetic contribution of reproductive traits to risk of uterine leiomyomata: a large-scale, genome-wide, cross-trait analysis. Am J Obstet Gynecol 2024;230:438. e1-438.e15. https://doi.org/10.1016/j.ajog.2023.12.040.

29. Loya H., Kalantzis G., Cooper F., Palamara P.F. A scalable variational inference approach for increased mixed-model association power. Nat Genet 2025;57:461–8. https://doi.org/10.1038/s41588-024-02044-7.

30. Kim J., Williams A., Noh H., et al. Genome-wide meta-analysis identifies novel risk loci for uterine fibroids within and across multiple ancestry groups. Nat Commun 2025;16:2273. https://doi.org/10.1038/s41467-025-57483-5.

31. Giaccherini M., Macauda A., Sgherza N., et al. Genetic polymorphisms associated with telomere length and risk of developing myeloproliferative neoplasms. Blood Cancer J 2020;10:89. https://doi.org/10.1038/s41408-020-00356-5.

32. Liu B., Wang T., Jiang J., et al. Association of BET1L and TNRC6B with uterine leiomyoma risk and its relevant clinical features in Han Chinese population. Sci Rep 2018;8:7401. https://doi.org/10.1038/s41598-018-25792-z.

33. Langton C.R., Harmon Q.E., Baird D.D. Family History and Uterine Fibroid Development in Black and African American Women. JAMA Netw Open 2024;7:e244185. https://doi.org/10.1001/jama-networkopen.2024.4185.

34. Ramaiyer M.S., Saad E., Kurt I., Borahay M.A. Genetic Mechanisms Driving Uterine Leiomyoma Pathobiology, Epidemiology, and Treatment. Genes 2024;15:558. https://doi.org/10.3390/genes15050558.

35. Omar M., Laknaur A., Al-Hendy A., Yang Q. Myometrial progesterone hyper-responsiveness associated with increased risk of human uterine fibroids. BMC Womens Health 2019;19:92. https://doi.org/10.1186/s12905-019-0795-1.

36. Fedotova M., Barysheva E., Bushueva O. Pathways of Hypoxia-Inducible Factor (HIF) in the Orchestration of Uterine Fibroids Development. Life 2023;13:1740. https://doi.org/10.3390/life13081740.

37. Szucio W., Bernaczyk P., Ponikwicka-Tyszko D., et al. Progesterone signaling in uterine leiomyoma biology: Implications for potential targeted therapy. Adv Med Sci 2024;69:21–8. https://doi.org/10.1016/j.advms.2024.01.001.

38. Ishikawa H., Kobayashi T., Kaneko M., et al. RISING STARS: Role of MED12 mutation in the pathogenesis of uterine fibroids. J Mol Endocrinol 2023;71:e230039. https://doi.org/10.1530/JME-23-0039.

39. Olson S.L., Akbar R.J., Gorniak A., et al. Hypoxia in uterine fibroids: role in pathobiology and therapeutic opportunities. Oxyg Basel Switz 2024;4:236–52. https://doi.org/10.3390/oxygen4020013.

40. El Sabeh M., Saha S.K., Afrin S., et al. Wnt/β-catenin signaling path-way in uterine leiomyoma: role in tumor biology and targeting opportunities. Mol Cell Biochem 2021;476:3513–36. https://doi.org/10.1007/s11010-021-04174-6.

41. Stengel K., Zheng Y. Cdc42 in oncogenic transformation, invasion, and tumorigenesis. Cell Signal 2011;23:1415–23. https://doi.org/10.1016/j.cellsig.2011.04.001.

42. Chadchan S.B., Popli P., Liao Z., et al. A GREB1-steroid receptor feedforward mechanism governs differential GREB1 action in endometrial function and endometriosis. Nat Commun 2024;15:1947. https://doi.org/10.1038/s41467-024-46180-4.

43. Matoba H., Fujii C., Maruyama K., et al. Sirt3 Regulates Proliferation and Progesterone Production in Leydig Cells via Suppression of Reactive Oxygen Species. Endocrinology 2024;165:bqae017. https://doi.org/10.1210/endocr/bqae017.

44. Fu H., Wada-Hiraike O., Hirano M., et al. SIRT3 positively regulates the expression of folliculogenesis- and luteinization-related genes and progesterone secretion by manipulating oxidative stress in human luteinized granulosa cells. Endocrinology 2014;155:3079–87. https://doi.org/10.1210/en.2014-1025.

45. Edwards T.L., Michels K.A., Hartmann K.E., Velez Edwards D.R. BET1L and TNRC6B associate with uterine fibroid risk among European Americans. Hum Genet 2013;132:943–53. https://doi.org/10.1007/s00439-013-1306-3.

46. Shameer K., Denny J.C., Ding K., et al. A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects. Hum Genet 2014;133:95–109. https://doi.org/10.1007/s00439-013-1355-7.

47. El Sayed S., Pan A., Vanos V., et al. Glycolytic Reprogramming in Uterine Fibroids: Genetic, Transcriptomic, Proteomic, and Metabolomic Insights. Genes 2025;16:1268. https://doi.org/10.3390/genes16111268.

48. Liu J., Bing Z., Wang J. Comprehensive pan-cancer analysis and experiments revealed R3HDM1 as a novel predictive biomarker for prognosis and immune therapy response. Front Genet 2024;15:1404348. https://doi.org/10.3389/fgene.2024.1404348.

49. Sliz E., Tyrmi J.S., Rahmioglu N., et al. Evidence of a causal effect of genetic tendency to gain muscle mass on uterine leiomyomata. Nat Commun 2023;14:542. https://doi.org/10.1038/s41467-023-35974-7.

50. Ton Q.V., Leino D., Mowery S.A., et al. Collagen COL22A1 maintains vascular stability and mutations in COL22A1 are potentially associated with intracranial aneurysms. Dis Model Mech 2018;11:dmm033654. https://doi.org/10.1242/dmm.033654.

51. Jayes F.L., Liu B., Feng L., et al. Evidence of biomechanical and collagen heterogeneity in uterine fibroids. PLoS ONE 2019;14:e0215646. https://doi.org/10.1371/journal.pone.0215646.

52. Dou X., Ma X., Meng W., et al. HEATR3 involved in the cell proliferation, metastasis and cell cycle development of bladder cancer acts as a tumor suppressor. Mol Genet Genomics MGG 2023;298:1353– 64. https://doi.org/10.1007/s00438-023-02046-w.

53. Tam V., Patel N., Turcotte M., et al. Benefits and limitations of genome-wide association studies. Nat Rev Genet 2019;20:467–84. https://doi.org/10.1038/s41576-019-0127-1.

54. Aissani B., Zhang K., Wiener H. Evaluation of GWAS candidate susceptibility loci for uterine leiomyoma in the multi-ethnic NIEHS uterine fibroid study. Front Genet 2015;6:241. https://doi.org/10.3389/fgene.2015.00241.

55. Ponomareva L., Kobzeva K., Bushueva O. GWAS-Significant Loci and Uterine Fibroids Risk: Analysis of Associations, Gene-Gene and Gene-Environmental Interactions. Front Biosci Sch Ed 2024;16:24. https://doi.org/10.31083/j.fbs1604024.

56. Алали О.М., Чурносов М.И. Этиопатогенез миомы матки (обзор). Гинекология 2023;25:22–30. https://doi.org/10.26442/20795696.2023.1.201827.

57. Пономаренко М.С., Решетников Е.А., Пономаренко И.В., Чурносов М.И. Молекулярно-генетические факторы формирования миомы матки. Медицинский Совет 2025;0:21–5.

58. Wise L.A., Ruiz-Narvaez E.A., Palmer J.R., et al. African Ancestry and Genetic Risk for Uterine Leiomyomata. Am J Epidemiol 2012;176:1159–68. https://doi.org/10.1093/aje/kws276.

59. Bondagji N.S., Morad F.A., Al-Nefaei A.A.A., et al. Replication of GWAS loci revealed the moderate effect of TNRC6B locus on susceptibility of Saudi women to develop uterine leiomyomas. J Obstet Gynaecol Res 2017;43:330–8. https://doi.org/10.1111/jog.13217.

60. Lee S.C., Chou Y.-H., Tantoh D.M., et al. Risk of uterine leiomyoma based on BET1L rs2280543 single nucleotide polymorphism and vegetarian diet. BMC Womens Health 2022;22:139. https://doi.org/10.1186/s12905-022-01721-1.


Рецензия

Для цитирования:


Глянцева Л.А., Самойленко Ю.А., Улинова А.О., Солдатова М.О., Бушуева О.Ю. Патогенетика миомы матки: обзор полногеномных исследований ассоциаций. Медицинская генетика. 2026;25(7):3-11. https://doi.org/10.25557/2073-7998.2026.07.3-11

For citation:


Gliantseva L.A., Samoilenko Yu.A., Ulinova A.O., Soldatova M.O., Bushueva O.Yu. Pathogenetics of uterine fibroids: A review of genome-wide association studies. Medical Genetics. 2026;25(7):3-11. (In Russ.) https://doi.org/10.25557/2073-7998.2026.07.3-11

Просмотров: 17

JATS XML

ISSN 2073-7998 (Print)