Literature DB >> 27287925

Comprehensive coverage of cardiovascular disease data in the disease portals at the Rat Genome Database.

Shur-Jen Wang1, Stanley J F Laulederkind2, G Thomas Hayman2, Victoria Petri2, Jennifer R Smith2, Marek Tutaj2, Rajni Nigam2, Melinda R Dwinell3, Mary Shimoyama2.   

Abstract

Cardiovascular diseases are complex diseases caused by a combination of genetic and environmental factors. To facilitate progress in complex disease research, the Rat Genome Database (RGD) provides the community with a disease portal where genome objects and biological data related to cardiovascular diseases are systematically organized. The purpose of this study is to present biocuration at RGD, including disease, genetic, and pathway data. The RGD curation team uses controlled vocabularies/ontologies to organize data curated from the published literature or imported from disease and pathway databases. These organized annotations are associated with genes, strains, and quantitative trait loci (QTLs), thus linking functional annotations to genome objects. Screen shots from the web pages are used to demonstrate the organization of annotations at RGD. The human cardiovascular disease genes identified by annotations were grouped according to data sources and their annotation profiles were compared by in-house tools and other enrichment tools available to the public. The analysis results show that the imported cardiovascular disease genes from ClinVar and OMIM are functionally different from the RGD manually curated genes in terms of pathway and Gene Ontology annotations. The inclusion of disease genes from other databases enriches the collection of disease genes not only in quantity but also in quality.
Copyright © 2016 the American Physiological Society.

Entities:  

Keywords:  animal models of human disease; cardiovascular disease; functional genomics; model organism database

Mesh:

Year:  2016        PMID: 27287925      PMCID: PMC5005459          DOI: 10.1152/physiolgenomics.00046.2016

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  23 in total

1.  Closely linked non-additive blood pressure quantitative trait loci.

Authors:  Edward J Toland; Yasser Saad; Shane Yerga-Woolwine; Steven Ummel; Phyllis Farms; Ramona Ramdath; Bryan C Frank; Norman H Lee; Bina Joe
Journal:  Mamm Genome       Date:  2008-03-07       Impact factor: 2.957

2.  PhenoMiner: a quantitative phenotype database for the laboratory rat, Rattus norvegicus. Application in hypertension and renal disease.

Authors:  Shur-Jen Wang; Stanley J F Laulederkind; G Thomas Hayman; Victoria Petri; Weisong Liu; Jennifer R Smith; Rajni Nigam; Melinda R Dwinell; Mary Shimoyama
Journal:  Database (Oxford)       Date:  2015-01-28       Impact factor: 3.451

3.  Rat Genome Database: a unique resource for rat, human, and mouse quantitative trait locus data.

Authors:  Rajni Nigam; Stanley J F Laulederkind; G Thomas Hayman; Jennifer R Smith; Shur-Jen Wang; Timothy F Lowry; Victoria Petri; Jeff De Pons; Marek Tutaj; Weisong Liu; Pushkala Jayaraman; Diane H Munzenmaier; Elizabeth A Worthey; Melinda R Dwinell; Mary Shimoyama; Howard J Jacob
Journal:  Physiol Genomics       Date:  2013-07-23       Impact factor: 3.107

4.  Online tools for understanding rat physiology.

Authors:  Melinda R Dwinell
Journal:  Brief Bioinform       Date:  2010-01-07       Impact factor: 11.622

5.  The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications.

Authors:  Jennifer R Smith; Carissa A Park; Rajni Nigam; Stanley Jf Laulederkind; G Thomas Hayman; Shur-Jen Wang; Timothy F Lowry; Victoria Petri; Jeff De Pons; Marek Tutaj; Weisong Liu; Elizabeth A Worthey; Mary Shimoyama; Melinda R Dwinell
Journal:  J Biomed Semantics       Date:  2013-10-08

6.  PANTHER in 2013: modeling the evolution of gene function, and other gene attributes, in the context of phylogenetic trees.

Authors:  Huaiyu Mi; Anushya Muruganujan; Paul D Thomas
Journal:  Nucleic Acids Res       Date:  2012-11-27       Impact factor: 16.971

7.  PID: the Pathway Interaction Database.

Authors:  Carl F Schaefer; Kira Anthony; Shiva Krupa; Jeffrey Buchoff; Matthew Day; Timo Hannay; Kenneth H Buetow
Journal:  Nucleic Acids Res       Date:  2008-10-02       Impact factor: 16.971

8.  ClinVar: public archive of relationships among sequence variation and human phenotype.

Authors:  Melissa J Landrum; Jennifer M Lee; George R Riley; Wonhee Jang; Wendy S Rubinstein; Deanna M Church; Donna R Maglott
Journal:  Nucleic Acids Res       Date:  2013-11-14       Impact factor: 16.971

9.  The pathway ontology - updates and applications.

Authors:  Victoria Petri; Pushkala Jayaraman; Marek Tutaj; G Thomas Hayman; Jennifer R Smith; Jeff De Pons; Stanley Jf Laulederkind; Timothy F Lowry; Rajni Nigam; Shur-Jen Wang; Mary Shimoyama; Melinda R Dwinell; Diane H Munzenmaier; Elizabeth A Worthey; Howard J Jacob
Journal:  J Biomed Semantics       Date:  2014-02-05

10.  Rat Strain Ontology: structured controlled vocabulary designed to facilitate access to strain data at RGD.

Authors:  Rajni Nigam; Diane H Munzenmaier; Elizabeth A Worthey; Melinda R Dwinell; Mary Shimoyama; Howard J Jacob
Journal:  J Biomed Semantics       Date:  2013-11-22
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.