scholarly journals Integrated analyses for genetic markers of polycystic ovary syndrome with 9 case-control studies of gene expression profiles

Oncotarget ◽  
2016 ◽  
Vol 8 (2) ◽  
pp. 3170-3180 ◽  
Author(s):  
Chenqi Lu ◽  
Xiaoqin Liu ◽  
Lin Wang ◽  
Ning Jiang ◽  
Jun Yu ◽  
...  
2004 ◽  
Vol 18 (12) ◽  
pp. 3050-3063 ◽  
Author(s):  
Erik Jansen ◽  
Joop S. E. Laven ◽  
Henri B. R. Dommerholt ◽  
Jan Polman ◽  
Cindy van Rijt ◽  
...  

Author(s):  
Talida Vulcan ◽  
Gabriela Adriana Filip ◽  
Lavinia Manuela Lenghel ◽  
Tudor Suciu ◽  
Paula Ilut ◽  
...  

AbstractPolycystic ovary syndrome (PCOS) is one of the most prevalent endocrine disorder in women of reproductive age. Vitamin D and its receptor are thought to play an important role in PCOS susceptibility, although the impact of vitamin D receptor (VDR) polymorphisms on the hormonal and metabolic profile is still controversial. A literature search in PubMed and Embase was performed up to September 2020 for case-control studies in women suffering from PCOS, with outcome related to VDR polymorphisms effect on metabolic/endocrine disturbances. We have found 16 eligible studies including 2566 women with PCOS and 2430 controls. ApaI polymorphism seemed to be associated with hyperandrogenism in both Asian and Caucasian population. FokI variant was correlated with metabolic/endocrine parameters especially in Asian population, while a relation between Cdx2 genotypes and insulin sensitivity was observed in both ethnicities. VDR polymorphisms have an important role in PCOS development and related hormonal and metabolic abnormalities. Few case-control studies analysed the interaction between VDR variants and metabolic/endocrine parameters with the majority of the articles focused on the Asian region. Further research on various ethnic populations with larger sample size are still needed for a definitive conclusion, in order to allow early diagnosis and prevention of PCOS comorbidities.


F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 181 ◽  
Author(s):  
Rafah Mackeh ◽  
Sabri Boughorbel ◽  
Damien Chaussabel ◽  
Tomoshige Kino

The collection of large-scale datasets available in public repositories is rapidly growing and providing opportunities to identify and fill gaps in different fields of biomedical research. However, users of these datasets should be able to selectively browse datasets related to their field of interest. Here we made available a collection of transcriptome datasets related to human follicular cells from normal individuals or patients with polycystic ovary syndrome, in the process of their development, during in vitro fertilization. After RNA-seq dataset exclusion and careful selection based on study description and sample information, 12 datasets, encompassing a total of 85 unique transcriptome profiles, were identified in NCBI Gene Expression Omnibus and uploaded to the Gene Expression Browser (GXB), a web application specifically designed for interactive query and visualization of integrated large-scale data. Once annotated in GXB, multiple sample grouping has been made in order to create rank lists to allow easy data interpretation and comparison. The GXB tool also allows the users to browse a single gene across multiple projects to evaluate its expression profiles in multiple biological systems/conditions in a web-based customized graphical views. The curated dataset is accessible at the following link: http://ivf.gxbsidra.org/dm3/landing.gsp.


1996 ◽  
Vol 174 (4) ◽  
pp. 1224-1232 ◽  
Author(s):  
David S. Guzick ◽  
Evelyn O. Talbott ◽  
Kim Sutton-Tyrrell ◽  
Holly C. Herzog ◽  
Lewis H. Kuller ◽  
...  

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