Literature DB >> 20864412

Single nucleotide polymorphisms in the anti-Müllerian hormone signalling pathway do not determine high or low response to ovarian stimulation.

Hans Ivar Hanevik1, Hilde Tveitan Hilmarsen, Camilla Furu Skjelbred, Tom Tanbo, Jarl A Kahn.   

Abstract

There is substantial variability in ovarian response to exogenous gonadotrophins in women undergoing ovarian stimulation for IVF. Genetic variation in signalling pathways of the ovary could influence ovarian stimulation outcome. Studies have shown a correlation between the serum concentration of anti-Müllerian hormone (AMH) and ovarian stimulation outcome. This paper present a retrospective case-controlled genetic association study designed to test the association between single nucleotide polymorphisms (SNP) in the AMH signalling pathway and two clinically important outcomes of ovarian stimulation: low and high response. Blood samples from 53 high responders, 38 low responders and 100 controls were analysed for eight SNP of interest. Odds ratios and 95% confidence intervals were estimated by a binary logistic regression model adjusting for age and body mass index. As far as is known, this is the first report on the influence of these SNP, present in approximately 19% of women, on ovarian stimulation outcome. No statistically significant association was found between any of the SNP studied and high or low response to ovarian stimulation. It seems unnecessary to detect these SNP when applying the serum concentration of AMH as a predictor of ovarian response to stimulation. Many infertile couples are treated by IVF. Part of this treatment is to pharmacologically stimulate the ovaries to develop many oocytes simultaneously. This process is called ovarian stimulation. Some women respond either too little (low responders) or too much (high responders) to ovarian stimulation. Both these situations are unfavourable to the woman. This study evaluates whether these chances of having one of these two outcomes of ovarian stimulationare influenced by variation in the gene for anti-Müllerian hormone (AMH) or its receptor. This is done by taking blood samples from three groups of patients: low responders, high responders and controls with a normal response. These blood samples were analysed to see if the variation in the genes for AMH or its receptor were different in the three groups. They were not, and so we conclude that the genetic variation that exists in the AMH and receptor signalling pathway is not a major determinant of ovarian stimulation outcome.
Copyright © 2010 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20864412     DOI: 10.1016/j.rbmo.2010.05.021

Source DB:  PubMed          Journal:  Reprod Biomed Online        ISSN: 1472-6483            Impact factor:   3.828


  10 in total

1.  A chromosome 19 locus positively influences the number of retrieved oocytes during stimulated cycles in Brazilian women.

Authors:  Amanda Souza Setti; Sylvia Sanches Cortezzi; Rita de Cássia S Figueira; Ciro Dresch Martinhago; Daniela Paes de Almeida Ferreira Braga; Assumpto Iaconelli; Edson Borges
Journal:  J Assist Reprod Genet       Date:  2012-03-10       Impact factor: 3.412

2.  Possible involvement of single nucleotide polymorphisms in anti-Müllerian hormone signaling pathway in the pathogenesis of early OHSS in Han Chinese women.

Authors:  Lan Wang; Hemei Li; Jihui Ai; Hanwang Zhang; Yiqing Zhao
Journal:  Int J Clin Exp Pathol       Date:  2015-08-01

3.  Endometriosis-associated infertility: GDF-9, AMH, and AMHR2 genes polymorphisms.

Authors:  Emily De Conto; Úrsula Matte; João Paolo Bilibio; Vanessa Krebs Genro; Carlos Augusto Souza; Delva Pereira Leão; João Sabino Cunha-Filho
Journal:  J Assist Reprod Genet       Date:  2017-08-22       Impact factor: 3.412

4.  Single nucleotide polymorphisms in the Anti-Müllerian hormone (AMH Ile(49)Ser) and Anti-Müllerian hormone type II receptor (AMHRII -482 A>G) as genetic markers in assisted reproduction technology.

Authors:  Iro Karagiorga; George A Partsinevelos; Despina Mavrogianni; Elli Anagnostou; Ioannis Zervomanolakis; Konstantinos Kallianidis; Petros Drakakis; Dimitris Loutradis
Journal:  J Assist Reprod Genet       Date:  2014-12-27       Impact factor: 3.412

5.  An in silico model using prognostic genetic factors for ovarian response in controlled ovarian stimulation: A systematic review.

Authors:  B S Eisele; G C Villalba Silva; C Bessow; R Donato; V K Genro; J S Cunha-Filho
Journal:  J Assist Reprod Genet       Date:  2021-03-31       Impact factor: 3.357

6.  Genetic polymorphisms influence the ovarian response to rFSH stimulation in patients undergoing in vitro fertilization programs with ICSI.

Authors:  Radia Boudjenah; Denise Molina-Gomes; Antoine Torre; Marianne Bergere; Marc Bailly; Florence Boitrelle; Stéphane Taieb; Robert Wainer; Mohamed Benahmed; Philippe de Mazancourt; Jacqueline Selva; François Vialard
Journal:  PLoS One       Date:  2012-06-11       Impact factor: 3.240

7.  Involvement of single nucleotide polymorphisms in ovarian poor response.

Authors:  Sayyed Mohammad Hossein Ghaderian; Reza Akbarzadeh; Saghar Salehpour
Journal:  J Assist Reprod Genet       Date:  2021-05-29       Impact factor: 3.357

8.  Anti-Müllerian Hormone Gene Polymorphism is Associated with Clinical Pregnancy of Fresh IVF Cycles.

Authors:  Cheng-Hsuan Wu; Shun-Fa Yang; Hui-Mei Tsao; Yu-Jun Chang; Tsung-Hsien Lee; Maw-Sheng Lee
Journal:  Int J Environ Res Public Health       Date:  2019-03-08       Impact factor: 3.390

9.  Variant-beta luteinizing hormone is not associated with poor ovarian response to controlled ovarian hyperstimulation.

Authors:  Hans I Hanevik; Hilde T Hilmarsen; Camilla F Skjelbred; Tom Tanbo; Jarl A Kahn
Journal:  Reprod Biol Endocrinol       Date:  2014-03-13       Impact factor: 5.211

10.  AMH type II receptor and AMH gene polymorphisms are not associated with ovarian reserve, response, or outcomes in ovarian stimulation.

Authors:  Christian Cerra; William G Newman; Dalia Tohlob; Helen Byers; Gregory Horne; Stephen A Roberts; Lamiya Mohiyiddeen
Journal:  J Assist Reprod Genet       Date:  2016-05-03       Impact factor: 3.412

  10 in total

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