PCOSKBR2: a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome

Mridula Sharma; Ram Shankar Barai; Indra Kundu; Sameeksha Bhaye; Khushal Pokar; Susan Idicula-Thomas

doi:10.1038/s41598-020-71418-8

PCOSKB_R2: a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome

Sci Rep. 2020 Sep 7;10(1):14738. doi: 10.1038/s41598-020-71418-8.

Authors

Mridula Sharma^#¹, Ram Shankar Barai^#¹, Indra Kundu^#¹, Sameeksha Bhaye¹, Khushal Pokar¹, Susan Idicula-Thomas²

Affiliations

¹ Biomedical Informatics Center, Indian Council of Medical Research-National Institute for Research in Reproductive Health, Mumbai, 400012, India.
² Biomedical Informatics Center, Indian Council of Medical Research-National Institute for Research in Reproductive Health, Mumbai, 400012, India. thomass@nirrh.res.in.

^# Contributed equally.

Abstract

PolyCystic Ovary Syndrome KnowledgeBase (PCOSKB_R2) is a manually curated database with information on 533 genes, 145 SNPs, 29 miRNAs, 1,150 pathways, and 1,237 diseases associated with PCOS. This data has been retrieved based on evidence gleaned by critically reviewing literature and related records available for PCOS in databases such as KEGG, DisGeNET, OMIM, GO, Reactome, STRING, and dbSNP. Since PCOS is associated with multiple genes and comorbidities, data mining algorithms for comorbidity prediction and identification of enriched pathways and hub genes are integrated in PCOSKB_R2, making it an ideal research platform for PCOS. PCOSKB_R2 is freely accessible at http://www.pcoskb.bicnirrh.res.in/ .

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Computational Biology / methods
Databases, Genetic
Disease / genetics*
Female
Gene Expression Profiling / methods
Gene Regulatory Networks / genetics*
Humans
Knowledge Bases
MicroRNAs / genetics
Polycystic Ovary Syndrome / genetics*
Polymorphism, Single Nucleotide / genetics
Signal Transduction / genetics*

Substances

MicroRNAs