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Citations per year

Number of citations per year for the bioinformatics software tool GAD
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Protocols

GAD specifications

Information


Unique identifier OMICS_22932
Name GAD
Alternative name Genetic Association Database
Restrictions to use None
Database management system Oracle
Community driven No
Data access File download
User data submission Not allowed
Maintained Yes

Maintainer


  • person_outline Kevin Becker

Publication for Genetic Association Database

GAD citations

 (42)
library_books

A comparative genomics study of carbohydrate/glucose metabolic genes: from fish to mammals

2018
BMC Genomics
PMCID: 5896114
PMID: 29642853
DOI: 10.1186/s12864-018-4647-4

[…] Human T2D genes were gathered from the OMIM database (http://www.ncbi.nlm.nih.gov/omim/), T2D-Db [], Type 2 Diabetes Genetic Association Database (T2DGADB) and [email protected] []. First, we searched the OMIM database using the keywords “type2 diabetes” and downloaded 681 MIM IDs, including genes, phenotypes, and loci. Using […]

library_books

Systems pharmacology approach reveals the antiinflammatory effects of Ampelopsis grossedentata on dextran sodium sulfate induced colitis

2018
PMCID: 5889820
PMID: 29632421
DOI: 10.3748/wjg.v24.i13.1398

[…] .PPI network constitution and identification of candidate targets for AMP against UC: To better understand the mechanisms of AMP in the treatment of UC, 123 candidate targets of UC were obtained from Genetic Association database, Therapeutic Target database and Online Mendelian Inheritance in Man database (Supplementary Table 6). As PPI maps represented physical interactions on a molecular level[] […]

library_books

Measuring disease similarity and predicting disease related ncRNAs by a novel method

2017
BMC Med Genomics
PMCID: 5751624
PMID: 29297338
DOI: 10.1186/s12920-017-0315-9

[…] -related genes were distributed in different sources, such as Comparative Toxicogenomics Database (CTD) [], Online Mendelian Inheritance in Man (OMIM) [], Gene Reference into Functions (GeneRIFs) [], Genetic Association Database (GAD) [], and so on.Three widely used methods for computing the similarity of terms of ontology were presented by Resnik [], Lin [], and Wang et al. [] repectively. All of […]

library_books

DisSetSim: an online system for calculating similarity between disease sets

2017
J Biomed Semantics
PMCID: 5763469
PMID: 29297411
DOI: 10.1186/s13326-017-0140-2

[…] e concept of disease, and it aims to provide a clear definition for each disease. The disease-related genes are scattered in the databases, such as Gene Reference into Function (GeneRIF) [], OMIM [], Genetic Association Database (GAD) [] and Comparative Toxicogenomics Database (CTD) []. It is better to use relationships of all of these databases.“pair-wise-all pairs-maximum” (PWAPM) method and “pa […]

library_books

Environment Changes Genetic Effects on Respiratory Conditions and Allergic Phenotypes

2017
Sci Rep
PMCID: 5524954
PMID: 28740106
DOI: 10.1038/s41598-017-06791-y

[…] ation and landmark papers about each candidate gene. Subsequently the Web of Knowledge database was employed to retrieve possible candidate gene SNPs from literatures published from 2004 to 2012. The Genetic Association Database (https://geneticassociationdb.nih.gov) was aligned to obtain other possible references using the “broad phenotype (disease)” category. NCBI dbSNP databases (http://www.ncb […]

library_books

GenePANDA—a novel network based gene prioritizing tool for complex diseases

2017
Sci Rep
PMCID: 5333103
PMID: 28252032
DOI: 10.1038/srep43258

[…] he network topology of different diseases, with it generally being more effective for those diseases with relatively compact network topology. The disease gene annotations used in this study are from Genetic Association Database (GAD), which has stopped to be updated in 2014. The inclusion of more disease gene annotations from other sources, such as DisGeNET, Phenopedia and BeFree, may change some […]


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GAD institution(s)
Gene Expression and Genomics Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA; Johns Hopkins Asthma and Allergy Center, Johns Hopkins University, Baltimore, MD, USA; Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, MD, USA

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