Literature DB >> 21862569

Genetic predictors of controlled ovarian hyperstimulation: where do we stand today?

S Altmäe1, O Hovatta, A Stavreus-Evers, A Salumets.   

Abstract

BACKGROUND: Nowadays, the use of IVF has improved the prospects of infertility treatment. The expected outcome of IVF depends greatly on the effectiveness of controlled ovarian hyperstimulation (COH), where exogenous gonadotrophins are used to induce folliculogenesis. The response to stimulation varies substantially among women and is difficult to predict. Several predictive markers of COH outcome have been proposed (e.g. maternal age and ovarian reserve), but the search for optimal predictors is ongoing. Pharmacogenetic studies demonstrate the effects of individual genetic variability on COH outcome and the potential for customizing therapy based on the patient's genome.
METHODS: MEDLINE, EMBASE, DARE, CINAHL and the Cochrane Library, and references from relevant articles were investigated up to February 2011 regarding any common genetic variation and COH/IVF outcome.
RESULTS: Several polymorphisms in genes involved in FSH signalling, estrogen biosynthesis, folliculogenesis, folate metabolism and other aspects influence the response to exogenous gonadotrophin administration, resulting in differences in COH and IVF outcomes. Nevertheless, the most studied polymorphism FSHR Asn680Ser is practically the only genetic marker, together with ESR1 PvuII T/C, that could be applied in clinical tests.
CONCLUSIONS: Although data are accumulating with evidence suggesting that the ovarian response to COH is mediated by various polymorphisms, the optimal biomarkers and the efficacy of the tests still remain to be evaluated.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21862569     DOI: 10.1093/humupd/dmr034

Source DB:  PubMed          Journal:  Hum Reprod Update        ISSN: 1355-4786            Impact factor:   15.610


  33 in total

Review 1.  Guidelines for the design, analysis and interpretation of 'omics' data: focus on human endometrium.

Authors:  Signe Altmäe; Francisco J Esteban; Anneli Stavreus-Evers; Carlos Simón; Linda Giudice; Bruce A Lessey; Jose A Horcajadas; Nick S Macklon; Thomas D'Hooghe; Cristina Campoy; Bart C Fauser; Lois A Salamonsen; Andres Salumets
Journal:  Hum Reprod Update       Date:  2013-09-29       Impact factor: 15.610

2.  Effect of follicle-stimulating hormone receptor Asn680Ser polymorphism on the outcomes of controlled ovarian hyperstimulation: an updated meta-analysis of 16 cohort studies.

Authors:  Huilin Tang; Yingying Yan; Tiansheng Wang; Ting Zhang; Weilong Shi; Rong Fan; Yao Yao; Suodi Zhai
Journal:  J Assist Reprod Genet       Date:  2015-10-19       Impact factor: 3.412

Review 3.  The role of genetics in estrogen responses: a critical piece of an intricate puzzle.

Authors:  Emma H Wall; Sylvia C Hewitt; Laure K Case; Chin-Yo Lin; Kenneth S Korach; Cory Teuscher
Journal:  FASEB J       Date:  2014-09-11       Impact factor: 5.191

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

Authors:  Tarek M K Motawi; Sherine M Rizk; Nadine W Maurice; Ahmed Mohamed Maged; Ayman N Raslan; Ahmed H Sawaf
Journal:  J Assist Reprod Genet       Date:  2017-08-19       Impact factor: 3.412

5.  Ovarian hyperstimulation syndrome after gonadotropin-releasing hormone agonist triggering and "freeze-all": in-depth analysis of genetic predisposition.

Authors:  Samuel Santos-Ribeiro; Nikolaos P Polyzos; Katrien Stouffs; Michel De Vos; Sara Seneca; Herman Tournaye; Christophe Blockeel
Journal:  J Assist Reprod Genet       Date:  2015-05-17       Impact factor: 3.412

6.  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

Review 7.  Pharmacogenetics of follicle-stimulating hormone action.

Authors:  Maris Laan; Marina Grigorova; Ilpo T Huhtaniemi
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2012-06       Impact factor: 3.243

8.  Rare genetic variants potentially involved in ovarian hyperstimulation syndrome.

Authors:  Katrien Stouffs; Sari Daelemans; Samuel Santos-Ribeiro; Sara Seneca; Alexander Gheldof; Ali Sami Gürbüz; Michel De Vos; Herman Tournaye; Christophe Blockeel
Journal:  J Assist Reprod Genet       Date:  2018-11-27       Impact factor: 3.412

9.  Genetic control of estrogen-regulated transcriptional and cellular responses in mouse uterus.

Authors:  Emma H Wall; Sylvia C Hewitt; Liwen Liu; Roxana del Rio; Laure K Case; Chin-Yo Lin; Kenneth S Korach; Cory Teuscher
Journal:  FASEB J       Date:  2013-01-31       Impact factor: 5.191

10.  Genetic control of ductal morphology, estrogen-induced ductal growth, and gene expression in female mouse mammary gland.

Authors:  Emma H Wall; Laure K Case; Sylvia C Hewitt; Trang Nguyen-Vu; Nicholes R Candelaria; Cory Teuscher; Chin-Yo Lin
Journal:  Endocrinology       Date:  2014-04-07       Impact factor: 4.736

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.