| Multiple interval mapping for gene expression QTL analysis. | |
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MedLine Citation:
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PMID: 19430916 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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To find the correlations between genome-wide gene expression variations and sequence polymorphisms in inbred cross populations, we developed a statistical method to claim expression quantitative trait loci (eQTL) in a genome. The method is based on multiple interval mapping (MIM), a model selection procedure, and uses false discovery rate (FDR) to measure the statistical significance of the large number of eQTL. We compared our method with a similar procedure proposed by Storey et al. and found that our method can be more powerful. We identified the features in the two methods that resulted in different statistical powers for eQTL detection, and confirmed them by simulation. We organized our computational procedure in an R package which can estimate FDR for positive findings from similar model selection procedures. The R package, MIM-eQTL, can be found at http://www.statgen.ncsu.edu/~wzou/MIM.eQTL.html . |
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Authors:
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Wei Zou; Zhao-Bang Zeng |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. Date: 2009-05-09 |
Journal Detail:
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Title: Genetica Volume: 137 ISSN: 1573-6857 ISO Abbreviation: Genetica Publication Date: 2009 Nov |
Date Detail:
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Created Date: 2009-10-02 Completed Date: 2010-01-22 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0370740 Medline TA: Genetica Country: Netherlands |
Other Details:
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Languages: eng Pagination: 125-34 Citation Subset: IM |
Affiliation:
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Department of Statistics, Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27695-7566, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Chromosome Mapping
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methods* Computer Simulation Gene Expression* Genomics / methods Models, Genetic* Quantitative Trait Loci / genetics* Yeasts |
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