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No association between polymorphisms in PTEN and primary ovarian insufficiency in a Han Chinese population

Overview of attention for article published in Reproductive Biology and Endocrinology, June 2015
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Title
No association between polymorphisms in PTEN and primary ovarian insufficiency in a Han Chinese population
Published in
Reproductive Biology and Endocrinology, June 2015
DOI 10.1186/s12958-015-0057-5
Pubmed ID
Authors

Weiwei Zou, Binbin Wang, Jing Wang, Zhiguo Zhang, Xiaofeng Xu, Beili Chen, Xu Ma, Yunxia Cao

Abstract

The aim of our study was to investigate the possible relationship between polymorphisms in PTEN (the phosphatase and tensin homolog located on chromosome ten in humans) and POI (primary ovarian insufficiency) in Chinese women. Seven tag SNPs (single nucleotide polymorphisms) - rs1234219, rs1903858, rs2299939, rs35352882, rs17107001, rs2299941 and rs12572106 - were chosen from the CHB (Han Chinese people in Beijing, China) HapMap database. MALDI-TOF-MS (matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry) was used to detect the genotype distribution of the seven SNPs among 148 POI patients and 230 controls. No statistically significant difference was found in an association analysis of the seven SNPs in the allele frequencies, genotype frequencies, or haplotype distributions. In summary, this study explored the relationship between polymorphisms in PTEN and POI in a Han Chinese population and suggests that polymorphisms in PTEN may not be associated with a risk of POI.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 32%
Researcher 3 16%
Other 2 11%
Student > Master 2 11%
Unknown 6 32%
Readers by discipline Count As %
Medicine and Dentistry 9 47%
Mathematics 1 5%
Agricultural and Biological Sciences 1 5%
Nursing and Health Professions 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 5 26%