Hdl Handle:
http://hdl.handle.net/10675.2/16
Title:
Genetic and Molecular Basis of QTL of Diabetes in Mouse: Genes and Polymorphisms.
Authors:
Gao, Peng; Jiao, Yan; Xiong, Qing; Wang, Cong-Yi; Gerling, Ivan; Gu, Weikuan
Abstract:
A systematic study has been conducted of all available reports in PubMed and OMIM (Online Mendelian Inheritance in Man) to examine the genetic and molecular basis of quantitative genetic loci (QTL) of diabetes with the main focus on genes and polymorphisms. The major question is, What can the QTL tell us? Specifically, we want to know whether those genome regions differ from other regions in terms of genes relevant to diabetes. Which genes are within those QTL regions, and, among them, which genes have already been linked to diabetes? whether more polymorphisms have been associated with diabetes in the QTL regions than in the non-QTL regions.Our search revealed a total of 9038 genes from 26 type 1 diabetes QTL, which cover 667,096,006 bp of the mouse genomic sequence. On one hand, a large number of candidate genes are in each of these QTL; on the other hand, we found that some obvious candidate genes of QTL have not yet been investigated. Thus, the comprehensive search of candidate genes for known QTL may provide unexpected benefit for identifying QTL genes for diabetes.
Citation:
Curr Genomics. 2008 Aug; 9(5):324-337
Issue Date:
27-May-2009
URI:
http://hdl.handle.net/10675.2/16
DOI:
10.2174/138920208785133253
PubMed ID:
19471607
PubMed Central ID:
PMC2685644
Type:
Journal Article
ISSN:
1389-2029
Appears in Collections:
Center for Biotechnology and Genomic Medicine: Faculty Research and Publications

Full metadata record

DC FieldValue Language
dc.contributor.authorGao, Pengen_US
dc.contributor.authorJiao, Yanen_US
dc.contributor.authorXiong, Qingen_US
dc.contributor.authorWang, Cong-Yien_US
dc.contributor.authorGerling, Ivanen_US
dc.contributor.authorGu, Weikuanen_US
dc.date.accessioned2010-09-24T20:59:20Z-
dc.date.available2010-09-24T20:59:20Z-
dc.date.issued2009-05-27en_US
dc.identifier.citationCurr Genomics. 2008 Aug; 9(5):324-337en_US
dc.identifier.issn1389-2029en_US
dc.identifier.pmid19471607en_US
dc.identifier.doi10.2174/138920208785133253en_US
dc.identifier.urihttp://hdl.handle.net/10675.2/16-
dc.description.abstractA systematic study has been conducted of all available reports in PubMed and OMIM (Online Mendelian Inheritance in Man) to examine the genetic and molecular basis of quantitative genetic loci (QTL) of diabetes with the main focus on genes and polymorphisms. The major question is, What can the QTL tell us? Specifically, we want to know whether those genome regions differ from other regions in terms of genes relevant to diabetes. Which genes are within those QTL regions, and, among them, which genes have already been linked to diabetes? whether more polymorphisms have been associated with diabetes in the QTL regions than in the non-QTL regions.Our search revealed a total of 9038 genes from 26 type 1 diabetes QTL, which cover 667,096,006 bp of the mouse genomic sequence. On one hand, a large number of candidate genes are in each of these QTL; on the other hand, we found that some obvious candidate genes of QTL have not yet been investigated. Thus, the comprehensive search of candidate genes for known QTL may provide unexpected benefit for identifying QTL genes for diabetes.en_US
dc.rightsThe PMC Open Access Subset is a relatively small part of the total collection of articles in PMC. Articles in the PMC Open Access Subset are still protected by copyright, but are made available under a Creative Commons or similar license that generally allows more liberal redistribution and reuse than a traditional copyrighted work. Please refer to the license statement in each article for specific terms of use. The license terms are not identical for all articles in this subset.en_US
dc.titleGenetic and Molecular Basis of QTL of Diabetes in Mouse: Genes and Polymorphisms.en_US
dc.typeJournal Articleen_US
dc.identifier.pmcidPMC2685644en_US
dc.contributor.corporatenameCenter for Biotechnology and Genomic Medicineen_US

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