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Obesity Gene Atlas in Mammals

Obesity in humans has increased at an alarming rate over the past two decades and has become one of the leading public health problems worldwide. Studies have revealed a large number of genes/markers that are associated with obesity and/or obesity-related phenotypes, indicating an urgent need to dev...

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Autores principales: Kunej, Tanja, Jevsinek Skok, Dasa, Zorc, Minja, Ogrinc, Ana, Michal, Jennifer J., Kovac, Milena, Jiang, Zhihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091431/
https://www.ncbi.nlm.nih.gov/pubmed/25031655
http://dx.doi.org/10.7150/jgen.3996
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author Kunej, Tanja
Jevsinek Skok, Dasa
Zorc, Minja
Ogrinc, Ana
Michal, Jennifer J.
Kovac, Milena
Jiang, Zhihua
author_facet Kunej, Tanja
Jevsinek Skok, Dasa
Zorc, Minja
Ogrinc, Ana
Michal, Jennifer J.
Kovac, Milena
Jiang, Zhihua
author_sort Kunej, Tanja
collection PubMed
description Obesity in humans has increased at an alarming rate over the past two decades and has become one of the leading public health problems worldwide. Studies have revealed a large number of genes/markers that are associated with obesity and/or obesity-related phenotypes, indicating an urgent need to develop a central database for helping the community understand the genetic complexity of obesity. In the present study, we collected a total of 1,736 obesity associated loci and created a freely available obesity database, including 1,515 protein-coding genes and 221 microRNAs (miRNAs) collected from four mammalian species: human, cattle, rat, and mouse. These loci were integrated as orthologs on comparative genomic views in human, cattle, and mouse. The database and genomic views are freely available online at: http://www.integratomics-time.com/fat_deposition. Bioinformatics analyses of the collected data revealed some potential novel obesity related molecular markers which represent focal points for testing more targeted hypotheses and designing experiments for further studies. We believe that this centralized database on obesity and adipogenesis will facilitate development of comparative systems biology approaches to address this important health issue in human and their potential applications in animals.
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spelling pubmed-40914312014-07-16 Obesity Gene Atlas in Mammals Kunej, Tanja Jevsinek Skok, Dasa Zorc, Minja Ogrinc, Ana Michal, Jennifer J. Kovac, Milena Jiang, Zhihua J Genomics Research Paper Obesity in humans has increased at an alarming rate over the past two decades and has become one of the leading public health problems worldwide. Studies have revealed a large number of genes/markers that are associated with obesity and/or obesity-related phenotypes, indicating an urgent need to develop a central database for helping the community understand the genetic complexity of obesity. In the present study, we collected a total of 1,736 obesity associated loci and created a freely available obesity database, including 1,515 protein-coding genes and 221 microRNAs (miRNAs) collected from four mammalian species: human, cattle, rat, and mouse. These loci were integrated as orthologs on comparative genomic views in human, cattle, and mouse. The database and genomic views are freely available online at: http://www.integratomics-time.com/fat_deposition. Bioinformatics analyses of the collected data revealed some potential novel obesity related molecular markers which represent focal points for testing more targeted hypotheses and designing experiments for further studies. We believe that this centralized database on obesity and adipogenesis will facilitate development of comparative systems biology approaches to address this important health issue in human and their potential applications in animals. Ivyspring International Publisher 2013-12-01 /pmc/articles/PMC4091431/ /pubmed/25031655 http://dx.doi.org/10.7150/jgen.3996 Text en © Ivyspring International Publisher. This is an open-access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited.
spellingShingle Research Paper
Kunej, Tanja
Jevsinek Skok, Dasa
Zorc, Minja
Ogrinc, Ana
Michal, Jennifer J.
Kovac, Milena
Jiang, Zhihua
Obesity Gene Atlas in Mammals
title Obesity Gene Atlas in Mammals
title_full Obesity Gene Atlas in Mammals
title_fullStr Obesity Gene Atlas in Mammals
title_full_unstemmed Obesity Gene Atlas in Mammals
title_short Obesity Gene Atlas in Mammals
title_sort obesity gene atlas in mammals
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091431/
https://www.ncbi.nlm.nih.gov/pubmed/25031655
http://dx.doi.org/10.7150/jgen.3996
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