HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Autosomal Translocation Patient Who Experienced Premature Menopause: A Case Report.

Abstract
Premature ovarian failure (POF) is a condition in which the ovarian functions of hormone production and oocyte development become impaired before the typical age for menopause. POF and early menopause are present in a broad spectrum of gonad dysgenesis, from a complete cessation of ovarian function to an intermittent follicle maturation failure. Actually POF has been identified as a genetic entity (especially chromosome X), but data on genetic factors of premature menopause are limited. Until now, several cases revealed that inactivation of X chromosomes has an effect on ages of premature menopause and females with balanced or unbalanced X-autosome translocations can have several reproductive problems. On the other hand, there have been a few data that was caused by autosome-autosome translocation can lead. Therefore we report a relevant case of POF with translocation between chromosomes 1 and 4. She had her first menstrual period at the age of 12, and after 7 years she stopped menstruation. Chromosomal analysis showed 46, XX, t (1;4) (p22.3;q31.3). While evaluating this rare case, we could review various causes (especially genetic factors) of POF. To remind clinicians about this disease, we report a case of POF caused by autosome-autosome translocation with a literature review.
AuthorsTae-Hee Kim, Yesol Kim, Do-Won Jeong, Eun-Gyeong Lee, Dong-Su Jeon, Jun-Mo Kim
JournalJournal of menopausal medicine (J Menopausal Med) Vol. 21 Issue 2 Pg. 112-4 (Aug 2015) ISSN: 2288-6478 [Print] Korea (South)
PMID26356509 (Publication Type: Case Reports)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: