Combining gene expression QTL mapping and phenotypic spectrum analysis to uncover gene regulatory relationships.

Combining gene expression QTL mapping and phenotypic spectrum analysis to uncover gene regulatory relationships. Research Abstract Details 

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Combining gene expression QTL mapping and phenotypic spectrum analysis to uncover gene regulatory relationships. Abstract Text:

Lei Bao,Lai Wei,Jeremy L Peirce,Ramin Homayouni,Hongqiang Li,Mi Zhou,Hao Chen,Lu Lu,Robert W Williams,Lawrence M Pfeffer,Dan Goldowitz,Yan Cui,

Gene expression QTL (eQTL) mapping can suggest candidate regulatory relationships between genes. Recent advances in mammalian phenotype annotation such as mammalian phenotype ontology (MPO) enable systematic analysis of the phenotypic spectrum subserved by many genes. In this study we combined eQTL mapping and phenotypic spectrum analysis to predict gene regulatory relationships. Five pairs of genes with similar phenotypic effects and potential regulatory relationships suggested by eQTL mapping were identified. Lines of evidence supporting some of the predicted regulatory relationships were obtained from biological literature. A particularly notable example is that promoter sequence analysis and real-time PCR assays support the predicted regulation of protein kinase C epsilon (Prkce) by cAMP responsive element binding protein 1 (Creb1). Our results show that the combination of gene eQTL mapping and phenotypic spectrum analysis may provide a valuable approach to uncovering gene regulatory relations underlying mammalian phenotypes.

Combining gene expression QTL mapping and phenotypic spectrum analysis to uncover gene regulatory relationships. Publishing Authors By Initials

L Bao,L Wei,JL Peirce,R Homayouni,H Li,M Zhou,H Chen,L Lu,RW Williams,LM Pfeffer,D Goldowitz,Y Cui,

For similar animals: chordata: vertebrates: mammals: rodentia: muridae: murinae: rats research abstracts see: animals: chordata: vertebrates: mammals: rodentia: muridae: murinae: rats research

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Combining gene expression QTL mapping and phenotypic spectrum analysis to uncover gene regulatory relationships. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Mammalian genome : official journal of the Interna

VOLUME: 17

Page Numbers: 575-83

Journal Abbreviation: Mamm. Genome

ISSN: 0938-8990

DAY: 12

MONTH: 06

YEAR: 2006

Combining gene expression QTL mapping and phenotypic spectrum analysis to uncover gene regulatory relationships. Information

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LANGUAGE: eng

NlmUniqueID: 9100916

Combining gene expression QTL mapping and phenotypic spectrum analysis to uncover gene regulatory relationships. Keywords Mesh Terms:

KEYWORDS: Rats

MESH TERMS: parasitology

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Grant and Affiliation Information for Combining gene expression QTL mapping and phenotypic spectrum analysis to uncover gene regulatory relationships.

AFFILIATION: Department of Molecular Sciences, University of Tennessee Health Science Center, 858 Madison Avenue, Memphis, TN 38163, USA.

Country: United States

AGENCY: United States NICHD

GRANT: HD 52472

ACRONYM: HD

MEDLINETA: Mamm Genome

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