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Candidate gene analysis in a case of congenital absence of the endometrium

Overview of attention for article published in Fertility Research and Practice, February 2016
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Title
Candidate gene analysis in a case of congenital absence of the endometrium
Published in
Fertility Research and Practice, February 2016
DOI 10.1186/s40738-016-0015-8
Pubmed ID
Authors

Serap Simavli, Ana Paula Abreu, Mary R. Kwaan, Robert G. Dluhy, Elena H. Yanushpolsky, Colleen Feltmate, Sandra R. Cerda, Rona S. Carroll, Ursula B. Kaiser, Wendy Kuohung

Abstract

Primary amenorrhea usually result from a genetic or anatomic abnormality. We present the first reported patient with the absence of endometrium and lumen in a small bicornuate uterus in a patient with primary amenorrhea. A 41-year-old woman presented for evaluation of primary amenorrhea and infertility. She did develop normal secondary sexual characteristics but never had menses. Physical examination, hormone analyses, and karyotype analysis were normal. Transvaginal ultrasonography revealed a small uterus with absent endometrial stripe. Ovaries were normal in size. Pathology from hysterectomy for abnormal Pap smears revealed a hypoplastic bicornuate uterus with absence of lumen and absent endometrium. DNA analyses for mutations in the coding sequences of three members of HOXA gene family was performed, but no variants in the coding sequence of these genes were found. These findings support the hypothesis that mutations in the coding sequence of HOXA10, HOXA11, and HOXA13 are not responsible for congenital endometrial absence with bicornuate hypoplastic uterus. Congenital absence of the endometrium is an uncommon etiology for primary amenorrhea, and nonvisualization of the endometrial stripe on ultrasound imaging in association with primary amenorrhea should raise suspicion of this rare disorder in this case.

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Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 17%
Student > Master 1 17%
Unknown 4 67%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 17%
Medicine and Dentistry 1 17%
Unknown 4 67%