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Identifying genes associated with a quantitative trait or quantitative trait locus via selective transcriptional profiling
Dong Wang; Dan Nettleton (Profiled Author: Dong Wang)
Biometrics 2006;62(2):504-514.
AbstractGenetical genomics is an approach that blends the mapping of quantitative trait loci (QTL) with microarray analysis. The approach can be used to identify associations between the allelic state of a genomic region and a gene's transcript abundance. However, the large number of microarrays required for adequate power results in high material and labor costs that prevent wide adoption of the genetical genomics strategy outside of some well-funded laboratories. We present a method called selective transcriptional profiling that involves selecting an optimal subset of individuals to microarray from a larger set of individuals for which relatively inexpensive quantitative trait and molecular marker data are available. We show how to use microarray data from the selected individuals, along with the trait and marker data from all individuals, to identify genes whose transcript abundance is associated with a quantitative trait of interest through linkage to a trait QTL or correlation with the trait. Our methods for selection and analysis are derived within a missing data framework. © 2005, The International Biometric Society.
Scientific Context
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Related Publications
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1.
2009Dong Wang; Song Xi Chen
Combining quantitative trait loci analyses and microarray data: An empirical likelihood approach
Computational Statistics and Data Analysis 2009;53(5):1661-1673. -
2.
2005Li Xiao; Linfeng Cao; Javeed Iqbal; Guimei Zhou; Wing C. Chan; Simon Sherman
MicroMultitest: Ranking differentially-expressed genes in microarray data
Proceedings of the Annual Hawaii International Conference on System Sciences 2005;():279-. -
3.
2007Shunpu Zhang
BMC Bioinformatics 2007;8():.
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