Association of Two Polymorphisms in the Peroxisome Proliferator-Acativated Receptor-γ Gene With Adenomyosis, Endometriosis, and Leiomyomata in Japanese Women View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-07

AUTHORS

Miyo Kiyomizu, Jo Kitawaki, Hiroshi Obayashi, Mitsuhiro Ohta, Hisato Koshiba, Hiroaki Ishihara, Hideo Honjo

ABSTRACT

OBJECTIVE: The peroxisome proliferator-activated receptor-gamma (PPAR-gamma) is a nuclear hormone receptor that plays an important role in many diseases. This study investigated whether two polymorphisms (Pro12Ala in exon B and C161T in exon 6) of the PPAR-gamma2 gene are related to adenomyosis, endometriosis, or leiomyomata. METHODS: A total of 390 patients with adenomyosis, endometriosis, and/or leiomyomata were classified into four groups: 103 patients with adenomyosis (21 adenomyosis only and 82 adenomyosis with endometriosis and/or leiomyomata), 95 patients with endometriosis only, 100 patients with leiomyomata only, and 92 patients with endometriosis and leiomyomata. RESULTS: There was no association between distribution of genotype or allele frequencies for the PPAR-gamma Pro12Ala polymorphism and the presence of adenomyosis, endometriosis, and/or leiomyomata. However, compared with results for controls, the PPAR-gamma 161CC genotype and 161C allele frequencies were significantly increased in patients with adenomyosis (genotype: chi2 = 8.185, corrected P value [Pc] = .0169; allele: chi2 = 8.337, Pc = .0155) and in patients with endometriosis (genotype: chi2 = 6.748, Pc = .0375; allele: chi2 = 6.413, Pc = .0453). CONCLUSION: The results suggest that the PPAR-gamma 161CC genotype could be a genetic risk factor for adenomyosis and endometriosis, whereas the Pro12Ala polymorphism was not associated with these estrogen-dependent benign uterine diseases in a Japanese population. More... »

PAGES

372-377

Identifiers

URI

http://scigraph.springernature.com/pub.10.1016/j.jsgi.2006.03.005

DOI

http://dx.doi.org/10.1016/j.jsgi.2006.03.005

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1054739885

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16725353


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