Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/82158
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Health Technology and Informatics-
dc.creatorZhu, YN-
dc.creatorZhang, YT-
dc.creatorLiu, Q-
dc.creatorShen, SM-
dc.creatorZou, X-
dc.creatorCao, YX-
dc.creatorWang, WJ-
dc.creatorYi, L-
dc.creatorGao, Q-
dc.creatorYang, WD-
dc.creatorWang, Y-
dc.date.accessioned2020-05-05T05:58:54Z-
dc.date.available2020-05-05T05:58:54Z-
dc.identifier.urihttp://hdl.handle.net/10397/82158-
dc.language.isoenen_US
dc.publisherBioMed Centralen_US
dc.rights© The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.en_US
dc.rightsThe following publication Zhu, Y., Zhang, Y., Liu, Q. et al. Association analysis between the tag single nucleotide polymorphisms of DENND1A and the risk of polycystic ovary syndrome in Chinese Han women. BMC Med Genet 21, 14 (2020), is available at https://doi.org/10.1186/s12881-019-0945-1en_US
dc.subjectDENND1Aen_US
dc.subjectGenetic polymorphismen_US
dc.subjectPolycystic ovary syndromeen_US
dc.titleAssociation analysis between the tag single nucleotide polymorphisms of DENND1A and the risk of polycystic ovary syndrome in Chinese Han womenen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume21-
dc.identifier.issue1-
dc.identifier.doi10.1186/s12881-019-0945-1-
dcterms.abstractBACKGROUND: The DENND1A gene is one of the most important sites associated with polycystic ovary syndrome (PCOS). We attempted to analyze the correlation between five single nucleotide polymorphisms (SNPs) in the DENND1A gene and the development of PCOS.-
dcterms.abstractMETHODS: A total of 346 PCOS patients and 225 normal ovulatory women were involved in the case-control study. Clinical variables and hormones were recorded. According to the Hap Map database, five tagging SNPs (rs2479106, rs2768819, rs2670139, rs2536951 and rs2479102) in the DENND1A gene were identified. The TaqMan probe and the PCR-RFLP (restriction fragment length polymorphism) methods were used for revealing these genotypes. TaqMan Genotype Software was used to analyze the alleles of the five SNPs.-
dcterms.abstractRESULTS: Linkage disequilibrium and the gene frequency analysis demonstrated that the CCGGG haplotype might increase the risk of PCOS (P = 0.038, OR = 1.89, 95% CI = 1.027-3.481). Significant differences were found in genotypic and allelic distributions at the rs2536951 and rs2479102 loci between PCOS women and controls (P <  0.001). The LH levels and LH/FSH ratios were higher in PCOS patients than in the control group. A detailed analysis revealed that for the rs2479106 locus, these two values were significantly different in the control subjects who had AA, AG and GG genotypes (P = 0.013 and P = 0.007, respectively), and for the rs2468819 locus, these two values were significantly different among the PCOS patients with AA, AG and GG genotypes (P = 0.013 and 0.002, respectively).-
dcterms.abstractCONCLUSIONS: The tagging SNPs rs2479106 and rs2468819 in the DENND1A gene are associated with PCOS in the Chinese population, whereas rs2670139, rs2536951 and rs2479102 are not correlated with PCOS in the same population.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationBMC medical genetics, 2020, v. 21, no. 1, 14-
dcterms.isPartOfBMC medical genetics-
dcterms.issued2020-
dc.identifier.isiWOS:000521186600001-
dc.identifier.scopus2-s2.0-85077940699-
dc.identifier.pmid31941453-
dc.identifier.eissn1471-2350-
dc.identifier.artn14-
dc.description.validate202006 bcma-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Zhu_Association_analysis_between.pdf1.25 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

88
Last Week
1
Last month
Citations as of Apr 21, 2024

Downloads

79
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

8
Citations as of Apr 5, 2024

WEB OF SCIENCETM
Citations

9
Last Week
0
Last month
Citations as of Apr 25, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.