Literature DB >> 16244490

Association of endometriosis risk and genetic polymorphisms involving sex steroid biosynthesis and their receptors: a meta-analysis.

Sun-Wei Guo1.   

Abstract

Endometriosis is a sex steroids-dependent disease. It has been postulated that certain genetic polymorphisms involved in sex steroids biosynthesis and metabolisms may be associated with increased risk of developing endometriosis. Despite a deluge of reports of positive associations of endometriosis with numerous polymorphisms involving sex steroids production and metabolism, the results are often conflicting. We performed a meta-analysis of 12 association studies on 5 genes (CYP17, CYP19, AR, PR and ER). We found that many reported positive findings were not supported by the data due to faulty analysis. There have been no functional data that support a putative relationship of these genetic polymorphisms with endometriosis. A handful of positive findings so far have not been independently replicated, and should be viewed as preliminary. In addition, these findings should be counterbalanced by legitimate concerns of multiple comparisons, small prior probability of association with a particular polymorphism, proper selection of controls, and lack of replication (at least until now). In future association studies, it may be productive to put more thought to study design, execution, and data analysis. Copyright 2006 S. Karger AG, Basel.

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Year:  2005        PMID: 16244490     DOI: 10.1159/000089011

Source DB:  PubMed          Journal:  Gynecol Obstet Invest        ISSN: 0378-7346            Impact factor:   2.031


  9 in total

1.  Genetic variation in the sex hormone metabolic pathway and endometriosis risk: an evaluation of candidate genes.

Authors:  Britton Trabert; Stephen M Schwartz; Ulrike Peters; Anneclaire J De Roos; Chu Chen; Delia Scholes; Victoria L Holt
Journal:  Fertil Steril       Date:  2011-09-28       Impact factor: 7.329

Review 2.  The search for genes contributing to endometriosis risk.

Authors:  Grant W Montgomery; Dale R Nyholt; Zhen Zhen Zhao; Susan A Treloar; Jodie N Painter; Stacey A Missmer; Stephen H Kennedy; Krina T Zondervan
Journal:  Hum Reprod Update       Date:  2008-06-05       Impact factor: 15.610

3.  Genetics and genomics of endometriosis.

Authors:  Keith A Hansen; Kathleen M Eyster
Journal:  Clin Obstet Gynecol       Date:  2010-06       Impact factor: 2.190

4.  Failure to detect significant association between estrogen receptor-alpha gene polymorphisms and endometriosis in Japanese women.

Authors:  Yasunari Matsuzaka; Yukie Y Kikuti; Shun-ichiro Izumi; Kenichi Goya; Takahiro Suzuki; Li-yi Cai; Akira Oka; Hidetoshi Inoko; Jerzy K Kulski; Minoru Kimura
Journal:  Environ Health Prev Med       Date:  2012-01-06       Impact factor: 3.674

5.  Common Variation in the CYP17A1 and IFIT1 Genes on Chromosome 10 Does Not Contribute to the Risk of Endometriosis.

Authors:  Zhen Zhen Zhao; Dale R Nyholt; Lien Le; Susan A Treloar; Grant W Montgomery
Journal:  Open Reprod Sci J       Date:  2008-01-01

Review 6.  The role of glucocorticoids and progestins in inflammatory, autoimmune, and infectious disease.

Authors:  A Sasha Tait; Cherie L Butts; Esther M Sternberg
Journal:  J Leukoc Biol       Date:  2008-07-29       Impact factor: 4.962

Review 7.  Functional genetic polymorphisms and female reproductive disorders: part II--endometriosis.

Authors:  C B Tempfer; M Simoni; B Destenaves; B C J M Fauser
Journal:  Hum Reprod Update       Date:  2008-09-19       Impact factor: 15.610

8.  Interplay between Misplaced Müllerian-Derived Stem Cells and Peritoneal Immune Dysregulation in the Pathogenesis of Endometriosis.

Authors:  Antonio Simone Laganà; Emanuele Sturlese; Giovanni Retto; Vincenza Sofo; Onofrio Triolo
Journal:  Obstet Gynecol Int       Date:  2013-06-13

Review 9.  The Pathogenesis of Endometriosis: Molecular and Cell Biology Insights.

Authors:  Antonio Simone Laganà; Simone Garzon; Martin Götte; Paola Viganò; Massimo Franchi; Fabio Ghezzi; Dan C Martin
Journal:  Int J Mol Sci       Date:  2019-11-10       Impact factor: 5.923

  9 in total

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