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Bioinformation. 2016 Jan 31;12(1):4-8. doi: 10.6026/97320630012004 N/A0.02025

PCOSDB: PolyCystic Ovary Syndrome Database for manually curated disease associated genes

PCOSDB:用于黄体酮多囊卵巢综合征疾病的基因手工数据库 翻译改进

Maniraja Jesintha Mary  1, Umashankar Vetrivel  2, Deecaraman Munuswamy  1, Vijayalakshmi Melanathuru  1

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作者单位

  • 1 Dr. MGR Educational and Research Institute University, Chennai, Tamil Nadu, India.
  • 2 Vision Research Foundation, Kamalnayan Bajaj Institute for Research in Vision and Ophthalmology, Sankara Nethralaya, Chennai, Tamil Nadu, India.
  • DOI: 10.6026/97320630012004 PMID: 27212836

    摘要 Ai翻译

    Polycystic ovary syndrome (PCOS) is a complex disorder affecting approximately 5-10 percent of all women of reproductive age. It is a multi-factorial endocrine disorder, which demonstrates menstrual disturbance, infertility, anovulation, hirsutism, hyper androgenism and others. It has been indicated that differential expression of genes, genetic level variations, and other molecular alterations interplay in PCOS and are the target sites for clinical applications. Therefore, integrating the PCOS-associated genes along with its alteration and underpinning the underlying mechanism might definitely provide valuable information to understand the disease mechanism. We manually curated the information from 234 published literatures, including gene, molecular alteration, details of association, significance of association, ethnicity, age, drug, and other annotated summaries. PCOSDB is an online resource that brings comprehensive information about the disease, and the implication of various genes and its mechanism. We present the curated information from peer reviewed literatures, and organized the information at various levels including differentially expressed genes in PCOS, genetic variations such as polymorphisms, mutations causing PCOS across various ethnicities. We have covered both significant and non-significant associations along with conflicting studies. PCOSDB v1.0 contains 208 gene reports, 427 molecular alterations, and 46 phenotypes associated with PCOS.

    Keywords:disease associated genes

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    期刊名:Bioinformation

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    ISSN:0973-8894

    e-ISSN:0973-2063

    IF/分区:0.0/N/A

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