Integrating genetic and gene expression data: methods and applications of eQTL mapping

The availability of high-throughput genotyping technologies and microarray assays has allowed researchers to investigate genetic variations that influence levels of gene expression. Expression Quantitative Trait Locus (eQTL) mapping methods have been used to identify the genetic basis of gene expres...

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Bibliographic Details
Published in:Yíchuán Vol. 30; no. 9; p. 1228
Main Authors: Liu, Gang, Peng, Hui-Ru, Ni, Zhong-Fu, Qin, Dan-Dan, Song, Fang-Wei, Song, Guang-Shu, Sun, Qi-Xin
Format: Journal Article
Language:Chinese
Published: China 01.09.2008
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ISSN:0253-9772
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Summary:The availability of high-throughput genotyping technologies and microarray assays has allowed researchers to investigate genetic variations that influence levels of gene expression. Expression Quantitative Trait Locus (eQTL) mapping methods have been used to identify the genetic basis of gene expression. Similar to traditional QTL studies, the main goal of eQTL is to identify the genomic locations to which the expression traits are linked. Although microarrays provide the expression data of thousands of transcripts, standard QTL mapping methods, which are able to handle at most tens of traits, cannot be applied directly. As a result, it is necessary to consider the statistical principles involved in the design and analysis of these experiments. In this paper, we reviewed individual selection, experimental design of microarray, normalization of gene expression data, mapping methods, and explaining of results and proposed potential methodological problems for such analyses. Finally, we discussed the application
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ISSN:0253-9772
DOI:10.3724/sp.j.1005.2008.01228