Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

At a glance: The ONWARDS insulin icodec trials

A round-up of the ONWARDS phase 3 clinical trials evaluating the novel weekly insulin icodec in people with diabetes.
ADVANCED SEARCH
Log in
Top
Journal of Ovarian Research
Published in: Journal of Ovarian Research 1/2015

Open Access 01-12-2015 | Research

An association study between USP34 and polycystic ovary syndrome

Authors: Shigang Zhao, Ye Tian, Wei Zhang, Xiuye Xing, Tao Li, Hongbin Liu, Tao Huang, Yunna Ning, Han Zhao, Zi-Jiang Chen

Published in: Journal of Ovarian Research | Issue 1/2015

Login to get access

Abstract

Background

Polycystic ovary syndrome (PCOS) is a complex multifactor disorder and genetic factors have been implicated in its pathogenesis. Our previous genome-wide association study (GWAS) had identified allele frequencies in several single nucleotide polymorphisms (SNPs) in gene USP34 (Ubiquitin-Specific Protease 34) were significantly different between PCOS cases and controls. This study was aimed to replicate the previous results in another independent cohort.

Methods

One thousand two hundred eighteen PCOS cases and 1057 controls were recruited. Genotyping of two SNPs (rs17008097 and rs17008940) in USP34 gene were performed by TaqMan-MGB probe assay and genotype-phenotype analysis was conducted subsequently.

Results

The differences of allele or genotype frequencies were not significant statistically between PCOS and controls, even after age and BMI adjustment. For clinical and metabolic features (LH, T and HOMA-IR) analysis in PCOS cases, no statistical differences among three genotypes of rs17008097 and rs17008940 were found. However, rs17008940 was shown to be slightly associated with BMI in PCOS cases rather than in controls, even after age adjustment (TC vs CC P = 0.006, OR = 1.042, 95% CI 1.012–1.073; TT vs CC P = 0.037, OR = 1.050, 95% CI 1.003–1.100).

Conclusions

USP34 gene polymorphisms (rs17008097 and rs17008940) may not be associated with PCOS in the Han Chinese women.
Appendix
Available only for authorised users
Literature
1.
Azziz R, Woods KS, Reyna R, Key TJ, Knochenhauer ES, Yildiz BO. The prevalence and features of the polycystic ovary syndrome in an unselected population. J Clin Endocrinol Metab. 2004;89(6):2745–9.CrossRefPubMed
2.
Goodarzi MO, Azziz R. Diagnosis, epidemiology, and genetics of the polycystic ovary syndrome. Best Pract Res Clin Endocrinol Metab. 2006;20(2):193–205.CrossRefPubMed
3.
Li R, Zhang Q, Yang D, Li S, Lu S, Wu X, et al. Prevalence of polycystic ovary syndrome in women in China: a large community-based study. Hum Reprod. 2013;28(9):2562–9.CrossRefPubMed
4.
Rotterdam EA-SPCWG. Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril. 2004;81(1):19–25.CrossRef
5.
Calogero AE, Calabro V, Catanuso M, Condorelli RA, La Vignera S. Understanding polycystic ovarian syndrome pathogenesis: an updated of its genetic aspects. J Endocrinol Invest. 2011;34(8):630–44.PubMed
6.
Chen ZJ, Zhao H, He L, Shi Y, Qin Y, Shi Y, et al. Genome-wide association study identifies susceptibility loci for polycystic ovary syndrome on chromosome 2p16.3, 2p21 and 9q33.3. Nat Genet. 2011;43(1):55–9.CrossRefPubMed
7.
Li T, Zhao H, Zhao X, Zhang B, Cui L, Shi Y, et al. Identification of YAP1 as a novel susceptibility gene for polycystic ovary syndrome. J Med Genet. 2012;49(4):254–7.CrossRefPubMed
8.
9.
Lui TT, Lacroix C, Ahmed SM, Goldenberg SJ, Leach CA, Daulat AM, et al. The ubiquitin-specific protease USP34 regulates axin stability and Wnt/beta-catenin signaling. Mol Cell Biol. 2011;31(10):2053–65.CrossRefPubMedCentralPubMed
10.
Richards JS, Russell DL, Ochsner S, Hsieh M, Doyle KH, Falender AE, et al. Novel signaling pathways that control ovarian follicular development, ovulation, and luteinization. Recent Prog Horm Res. 2002;57:195–220.CrossRefPubMed
11.
Corton M, Botella-Carretero JI, Benguria A, Villuendas G, Zaballos A, San Millan JL, et al. Differential gene expression profile in omental adipose tissue in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 2007;92(1):328–37.CrossRefPubMed
12.
Jansen E, Laven JS, Dommerholt HB, Polman J, van Rijt C, van den Hurk C, et al. Abnormal gene expression profiles in human ovaries from polycystic ovary syndrome patients. Mol Endocrinol. 2004;18(12):3050–63.CrossRefPubMed
13.
Kenigsberg S, Bentov Y, Chalifa-Caspi V, Potashnik G, Ofir R, Birk OS. Gene expression microarray profiles of cumulus cells in lean and overweight-obese polycystic ovary syndrome patients. Mol Hum Reprod. 2009;15(2):89–103.CrossRefPubMed
14.
Ferriman D, Gallwey JD. Clinical assessment of body hair growth in women. J Clin Endocrinol Metab. 1961;21:1440–7.CrossRefPubMed
15.
Shi Y, Gao X, Sun X, Zhang P, Chen Z. Clinical and metabolic characteristics of polycystic ovary syndrome without polycystic ovary: a pilot study on Chinese women. Fertil Steril. 2008;90(4):1139–43.CrossRefPubMed
16.
Purcell S, Cherny SS, Sham PC. Genetic Power Calculator: design of linkage and association genetic mapping studies of complex traits. Bioinformatics. 2003;19(1):149–50.CrossRefPubMed
17.
Newton-Cheh C, Hirschhorn JN. Genetic association studies of complex traits: design and analysis issues. Mutat Res. 2005;573(1–2):54–69.CrossRefPubMed
18.
Lewis CM. Genetic association studies: design, analysis and interpretation. Brief Bioinform. 2002;3(2):146–53.CrossRefPubMed
19.
Zhang B, Zhao H, Li T, Gao X, Gao Q, Tang R, et al. Association study of gene LPP in women with polycystic ovary syndrome. PLoS One. 2012;7(10), e46370.CrossRefPubMedCentralPubMed
20.
Legro RS, Kunselman AR, Dodson WC, Dunaif A. Prevalence and predictors of risk for type 2 diabetes mellitus and impaired glucose tolerance in polycystic ovary syndrome: a prospective, controlled study in 254 affected women. J Clin Endocrinol Metab. 1999;84(1):165–9.PubMed
21.
Shi Y, Guo M, Yan J, Sun W, Zhang X, Geng L, et al. Analysis of clinical characteristics in large-scale Chinese women with polycystic ovary syndrome. Neuro Endocrinol Lett. 2007;28(6):807–10.PubMed
22.
Ewens KG, Jones MR, Ankener W, Stewart DR, Urbanek M, Dunaif A, et al. FTO and MC4R gene variants are associated with obesity in polycystic ovary syndrome. PLoS One. 2011;6(1), e16390.CrossRefPubMedCentralPubMed
23.
Ross SE, Hemati N, Longo KA, Bennett CN, Lucas PC, Erickson RL, et al. Inhibition of adipogenesis by Wnt signaling. Science. 2000;289(5481):950–3.CrossRefPubMed
24.
Bennett CN, Ross SE, Longo KA, Bajnok L, Hemati N, Johnson KW, et al. Regulation of Wnt signaling during adipogenesis. J Biol Chem. 2002;277(34):30998–1004.CrossRefPubMed
25.
Gesta S, Bluher M, Yamamoto Y, Norris AW, Berndt J, Kralisch S, et al. Evidence for a role of developmental genes in the origin of obesity and body fat distribution. Proc Natl Acad Sci U S A. 2006;103(17):6676–81.CrossRefPubMedCentralPubMed
26.
27.
Choi OM, Cho YH, Choi S, Lee SH, Wha Seo S, Kim HY, et al. The small molecule indirubin-3′-oxime activates Wnt/beta-catenin signaling and inhibits adipocyte differentiation and obesity. Int J Obes. 2013;38(8):1044-52.
28.
Poalas K, Hatchi EM, Cordeiro N, Dubois SM, Leclair HM, Leveau C, et al. Negative regulation of NF-kappaB signaling in T lymphocytes by the ubiquitin-specific protease USP34. Cell Commun Signal. 2013;11(1):25.CrossRefPubMedCentralPubMed
29.
Mu JJ, Wang Y, Luo H, Leng M, Zhang J, Yang T, et al. A proteomic analysis of ataxia telangiectasia-mutated (ATM)/ATM-Rad3-related (ATR) substrates identifies the ubiquitin-proteasome system as a regulator for DNA damage checkpoints. J Biol Chem. 2007;282(24):17330–4.CrossRefPubMed
30.
Sy SM, Jiang J, O WS, Deng Y, Huen MS. The ubiquitin specific protease USP34 promotes ubiquitin signaling at DNA double-strand breaks. Nucleic Acids Res. 2013;41(18):8572–80.CrossRefPubMedCentralPubMed
Metadata
Title
An association study between USP34 and polycystic ovary syndrome
Authors
Shigang Zhao
Ye Tian
Wei Zhang
Xiuye Xing
Tao Li
Hongbin Liu
Tao Huang
Yunna Ning
Han Zhao
Zi-Jiang Chen
Publication date
01-12-2015
Publisher
BioMed Central
Published in
Journal of Ovarian Research / Issue 1/2015
Electronic ISSN: 1757-2215
DOI
https://doi.org/10.1186/s13048-015-0158-y

Other articles of this Issue 1/2015

Journal of Ovarian Research 1/2015 Go to the issue

Brief communication

A method to investigate the anti-metabolic activity of anti-cancer agents on ovarian cancer cells cultured in a 96-well high throughput format

Research

Evidence for induction of a tumor metastasis-receptive microenvironment for ovarian cancer cells in bone marrow and other organs as an unwanted and underestimated side effect of chemotherapy/radiotherapy

Research

Lentivirus-mediated shRNA interference of clusterin blocks proliferation, motility, invasion and cell cycle in the ovarian cancer cells

Review

MicroRNAs in ovarian function and disorders

Research

The expression of DBC1/CCAR2 is associated with poor prognosis of ovarian carcinoma

Erratum

Erratum to: microRNA 490-3P enhances the drug-resistance of human ovarian cancer cells