Literature DB >> 28825151

The role of gene polymorphisms and AMH level in prediction of poor ovarian response in Egyptian women undergoing IVF procedure.

Tarek M K Motawi1, Sherine M Rizk1, Nadine W Maurice1, Ahmed Mohamed Maged2,3, Ayman N Raslan4, Ahmed H Sawaf4.   

Abstract

OBJECTIVE: The aim of this study is to assess the role of AMH in prediction of poor ovarian response as well as the relation between ESR 2 (+ 1730G>A) (rs4986938) and FSHR p.Thr307Ala (c.919A>G, rs6165) SNPs and the poor ovarian response in Egyptian women undergoing IVF procedure. Discovering the genetic variants associated with ovarian response is an important step towards individualized pharmacogenetic protocols of ovarian stimulation.
METHODS: We performed a prospective study on 216 young women with unexplained infertility. Ovarian stimulation was performed according to the GnRH antagonist protocol with a fixed daily morning dose of human menopausal gonadotrophin (HMG). The estrogen receptor (ESR2) (+ 1730G>A) (rs4986938) and FSH receptor p.Thr307Ala (c.919A>G, rs6165) single nucleotide polymorphisms (SNPs) were detected by real-time polymerase chain reaction. Serum FSH, Estradiol (E2) and anti-Müllerian hormone (AMH) levels were measured by enzyme-linked immunosorbent assay (ELISA).
RESULTS: This study revealed that the low AMH level was highly significantly related to the poor ovarian response (p < 0.001). Furthermore, the frequency of the ESR2 (AA) genotype and the FSHR (Ala307Ala) genotypes were highly significantly associated with the poor ovarian response (p < 0.001).
CONCLUSION: The AMH level in combination with the ESR2 and the FSHR gene polymorphisms predict the poor ovarian response to COH in Egyptian women. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02640976.

Entities:  

Keywords:  Anti-Müllerian hormone; Assisted reproductive technology; Controlled ovarian hyperstimulation; Estrogen receptors; Follicle-stimulating hormone receptor; In-vitro fertilization; Infertility; Single nucleotide polymorphisms

Mesh:

Substances:

Year:  2017        PMID: 28825151      PMCID: PMC5714814          DOI: 10.1007/s10815-017-1013-4

Source DB:  PubMed          Journal:  J Assist Reprod Genet        ISSN: 1058-0468            Impact factor:   3.412


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