Genetic markers of hormone receptors as predictors of assisted reproductive technologies outcomes in tubal-peritoneal infertility
https://doi.org/10.37489/2588-0527-0009
EDN: CXPTSI
Abstract
Background. High variability in individual response to controlled ovarian stimulation remains one of the main challenges in assisted reproductive technologies, and the prognostic value of most studied genetic markers shows conflicting results.
Objective. To evaluate the association of gonadotropin and sex steroid receptor gene polymorphisms with clinical pregnancy rates in women with tuboperitoneal infertility undergoing in vitro fertilization programs.
Materials and methods. This prospective pilot study included 96 patients (25–35 years old) with tuboperitoneal infertility and normal ovarian reserve. Two groups were formed: Group 1 (n=48) — pregnancy on the first attempt; Group 2 (n=48) — patients with a history of three or more previous unsuccessful attempts. The patients received standardized therapy using a short protocol with gonadotropin-releasing hormone antagonists and recombinant FSH. Genotyping was performed using microarray analysis (Infinium Global Screening Array-24 v3.0, Illumina).
Results. For the rs3020394 polymorphism of the ESR1 gene, a protective association was established between the A/A genotype (p=0.025; OR=2.553; 95% CI 1.120-5.820) and a negative predictive value of the homozygous G/G genotype. An association was found between the heterozygous C/T genotype of the rs2234693 (PvuII) polymorphism in the ESR1 gene and an unfavorable IVF outcome (p=0.024; OR=0.593; 95% CI 0.170-0.890).
Conclusion. The identified associations demonstrate the need for the development and further implementation of pharmacogenetic testing in the comprehensive evaluation of patients with tuboperitoneal infertility as a tool for personalized medicine.
About the Authors
A. V. LapshtaevaRussian Federation
Anna V. Lapshtaeva — Cand. Sci. (Med.), Associate Professor, Department of Immunology, Microbiology and Virology with the Course of Clinical Immunology and Allergology
Saransk
D. V. Puzakova
Russian Federation
Darya V. Puzakova — 5th-year student, specialty "General Medicine", Medical Institute
Saransk
I. V. Sychev
Russian Federation
Ivan V. Sychev — Researcher of the World-Class Genomic Research Center "Center for Predictive Genetics, Pharmacogenetics, and Personalized Therapy"
Moscow
R. A. Chilova
Russian Federation
Raisa A. Chilova — Dr. Sci. (Med.), Associate Professor, Head of the Department of Obstetrics and Gynecology No. 1
Moscow
D. A. Sychev
Russian Federation
Dmitry A. Sychev — Dr. Sci. (Med.), Professor, Professor of the Russian Academy of Sciences, Academician of the Russian Academy of Sciences, scientific supervisor of the World-Class Genomic Research Center "Center for Predictive Genetics, Pharmacogenetics, and Personalized Therapy" of the B. V. Petrovsky Russian Scientific Center of Surgery; Head of the Department of Clinical Pharmacology and Therapy named after B. E. Votchal, Russian Medical Academy of Continuous Professional Education
Moscow
References
1. Soliman D, Naoom R, Zaied M, Soliman S. The role of elagolix in ovulation suppression during controlled ovarian stimulation: a retrospective cohort study. F S Rep. 2024;5(4):356-362. DOI: 10.1016/j.xfre.2024.06.006.
2. Albertini DF. From accepting oversight to being overlooked: the devilish details of controlled ovarianstimulation.J Assist Reprod Genet.2021;38(9): 2225-2226. DOI: 10.1007/s10815-021-02333-8.
3. Wang X, Sun X, Tang B, et al X. Effect of polymorphisms of MTHFR in controlled ovarian stimulation: a systematic review and meta-analysis. J Assist Reprod Genet. 2021;38(9):2237-2249. DOI: 10.1007/s10815-021-02236-8.
4. Laisk-Podar T, Kaart T, Peters M, Salumets A. Genetic variants associated with female reproductive ageing-potential markers for assessing ovarian function and ovarian stimulation outcome. Reprod Biomed Online. 2015;31(2):199-209.
5. Martinez-Martinez A, Sanz FJ, Garcia-Acero P, et al. Descriptive overview of gene variants potentially affecting female infertility treatments: A systematic review. Biomed Pharmacother. 2026; 194:118942. DOI: 10.1016/j.biopha.2025.118942.
6. Hjelmér I, Nilsson M, Henic E, et al. FSH receptor N680S genotype-guided gonadotropin choice increases cumulative pregnancy and live birth rates after in vitro fertilization. Front Endocrinol (Lausanne). 2025;16:1576090. (in Switzerland). DOI: 10.3389/fendo.2025.1576090.
7. . Ko E-J, Shin J-E, Lee J-Y, et al. Association of Polymorphisms in FSHR, INHA, ESR1, and BMP15 with Recurrent Implantation Failure. Biomedicines. 2023;11(5):1374. (in Korea). DOI: 10.3390/biomedicines11051374.
8. Guo C, Yu H, Feng G, et al Associations of FSHR and LHCGR gene variants with ovarian reserve and clinical pregnancy rates. Reprod Biomed Online. 2021;43(3):561-569. DOI: 10.1016/j.rbmo.2021.06.016.
9. Prodromidou A, Dimitroulia E, Mavrogianni D, et al. The Effect of the Allelics of Ser680Asn Polymorphisms of Follicle-Stimulating Hormone Receptor Gene in IVF/ICSI Cycles: a Systematic Review and Meta-analysis. Reprod Sci. 2023;30(2):428-441. DOI: 10.1007/s43032-022-00996-x.
10. Illumina. Infinium HTS Assay: Reference Guide [Internet]. San Diego, CA: Illumina, Inc.; 2019 [cited 2026 Jul 13]. Available from: https://support.illumina.com/content/dam/illumina-support/documents/documentation/chemistry_documentation/infinium_assays/infinium-hts/infinium-hts-assay-reference-guide-15045738-04.pdf
11. Figtree GA, Noonan JE, Bhindi R, Collins P. Estrogen receptor polymorphisms: significance to human physiology, disease and therapy. Recent Pat DNA Gene Seq. 2009;3(3):164-171. DOI: 10.2174/187221509789318397.
12. Al-Amri RJ, Al-Mansour Z, Al-Harbi N, et al. Estrogen Receptor 1 Gene (ESR1) rs2234693 Polymorphism and Breast Cancer Risk in Saudi Women. Asian Pac J Cancer Prev. 2020;21(11): 3235-3240. (in Saudi Arabia). DOI: 10.31557/APJCP.2020.21.11.3235.
13. Herrington DM, Howard TD, Brosnihan KB, et al. Common estrogen receptor polymorphism augments effects of hormone replacement therapy on E-selectin but not C-reactive protein. Circulation. 2002;105(16):1879-1882. DOI: 10.1161/01.CIR.0000016173.98826.88.
14. Bourdon M, Maignien C, Ouazana M, et al. Oestradiol and reproductive outcomes in ART: when too much of a good thing hurts. Reprod Biomed Online.2025;51(6):105131. DOI:10.1016/j.rbmo.2025.105131.
15. Dinh DT, McPhee TR, Foot NJ, et al. Estrogen receptor alpha and beta chromatin interactions govern ovarian folliculogenesis but dissipate during ovulation. Endocrinology. 2026;167(6): bqag052. DOI: 10.1210/endocr/bqag052.
16. Reshetnikov EA. Polymorphism of genes associated with the age at menarche and the risk of complications of pregnancy in women in the Central Black Earth Region of Russia. Research Results in Biomedicine. 2021;7(2):132-142. (In Russ.). DOI: 10.18413/2658-6533-2021-7-2-0-3.
Review
For citations:
Lapshtaeva A.V., Puzakova D.V., Sychev I.V., Chilova R.A., Sychev D.A. Genetic markers of hormone receptors as predictors of assisted reproductive technologies outcomes in tubal-peritoneal infertility. Pharmacogenetics and Pharmacogenomics. 2026;(2):35-44. (In Russ.) https://doi.org/10.37489/2588-0527-0009. EDN: CXPTSI
JATS XML




































