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Enrichment analyses of diseases and pathways associated with precocious puberty using PrecocityDB
Precocious puberty (PP) is an important endocrine disorder affecting children globally. Several genes, SNPs and comorbidities are reported to be associated with PP; however, this data is scattered across scientific literature and has not been systematically collated and analysed. In this study, we p...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7893021/ https://www.ncbi.nlm.nih.gov/pubmed/33602974 http://dx.doi.org/10.1038/s41598-021-83446-z |
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author | Sharma, Mridula Kundu, Indra Barai, Ram Shankar Bhaye, Sameeksha Desai, Karishma Pokar, Khushal Idicula-Thomas, Susan |
author_facet | Sharma, Mridula Kundu, Indra Barai, Ram Shankar Bhaye, Sameeksha Desai, Karishma Pokar, Khushal Idicula-Thomas, Susan |
author_sort | Sharma, Mridula |
collection | PubMed |
description | Precocious puberty (PP) is an important endocrine disorder affecting children globally. Several genes, SNPs and comorbidities are reported to be associated with PP; however, this data is scattered across scientific literature and has not been systematically collated and analysed. In this study, we present PrecocityDB as the first manually curated online database on genes and their ontology terms, SNPs, and pathways associated with PP. A tool for visualizing SNP coordinates and allelic variation on each chromosome, for genes associated with PP is also incorporated in PrecocityDB. Pathway enrichment analysis of PP-associated genes revealed that endocrine and cancer-related pathways are highly enriched. Disease enrichment analysis indicated that individuals with PP seem to be highly likely to suffer from reproductive and metabolic disorders such as PCOS, hypogonadism, and insulin resistance. PrecocityDB is a useful resource for identification of comorbid conditions and disease risks due to shared genes in PP. PrecocityDB is freely accessible at http://www.precocity.bicnirrh.res.in. The database source code and content can be downloaded through GitHub (https://github.com/bic-nirrh/precocity). |
format | Online Article Text |
id | pubmed-7893021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78930212021-02-23 Enrichment analyses of diseases and pathways associated with precocious puberty using PrecocityDB Sharma, Mridula Kundu, Indra Barai, Ram Shankar Bhaye, Sameeksha Desai, Karishma Pokar, Khushal Idicula-Thomas, Susan Sci Rep Article Precocious puberty (PP) is an important endocrine disorder affecting children globally. Several genes, SNPs and comorbidities are reported to be associated with PP; however, this data is scattered across scientific literature and has not been systematically collated and analysed. In this study, we present PrecocityDB as the first manually curated online database on genes and their ontology terms, SNPs, and pathways associated with PP. A tool for visualizing SNP coordinates and allelic variation on each chromosome, for genes associated with PP is also incorporated in PrecocityDB. Pathway enrichment analysis of PP-associated genes revealed that endocrine and cancer-related pathways are highly enriched. Disease enrichment analysis indicated that individuals with PP seem to be highly likely to suffer from reproductive and metabolic disorders such as PCOS, hypogonadism, and insulin resistance. PrecocityDB is a useful resource for identification of comorbid conditions and disease risks due to shared genes in PP. PrecocityDB is freely accessible at http://www.precocity.bicnirrh.res.in. The database source code and content can be downloaded through GitHub (https://github.com/bic-nirrh/precocity). Nature Publishing Group UK 2021-02-18 /pmc/articles/PMC7893021/ /pubmed/33602974 http://dx.doi.org/10.1038/s41598-021-83446-z Text en © The Author(s) 2021 Open Access 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/. |
spellingShingle | Article Sharma, Mridula Kundu, Indra Barai, Ram Shankar Bhaye, Sameeksha Desai, Karishma Pokar, Khushal Idicula-Thomas, Susan Enrichment analyses of diseases and pathways associated with precocious puberty using PrecocityDB |
title | Enrichment analyses of diseases and pathways associated with precocious puberty using PrecocityDB |
title_full | Enrichment analyses of diseases and pathways associated with precocious puberty using PrecocityDB |
title_fullStr | Enrichment analyses of diseases and pathways associated with precocious puberty using PrecocityDB |
title_full_unstemmed | Enrichment analyses of diseases and pathways associated with precocious puberty using PrecocityDB |
title_short | Enrichment analyses of diseases and pathways associated with precocious puberty using PrecocityDB |
title_sort | enrichment analyses of diseases and pathways associated with precocious puberty using precocitydb |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7893021/ https://www.ncbi.nlm.nih.gov/pubmed/33602974 http://dx.doi.org/10.1038/s41598-021-83446-z |
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