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Copyright 2003 by the Genetics Society of America Dimension Reduction for Mapping mRNA Abundance as Quantitative Traits
 

Summary: Copyright 2003 by the Genetics Society of America
Dimension Reduction for Mapping mRNA Abundance as Quantitative Traits
Hong Lan,* Jonathan P. Stoehr,
Samuel T. Nadler,
Kathryn L. Schueler,* Brian S. Yandell
and Alan D. Attie*,1
*Department of Biochemistry,
Medical Scientist Training Program and
Departments of Statistics and Horticulture,
University of Wisconsin, Madison, Wisconsin 53706
Manuscript received August 23, 2002
Accepted for publication April 5, 2003
ABSTRACT
The advent of sophisticated genomic techniques for gene mapping and microarray analysis has provided
opportunities to map mRNA abundance to quantitative trait loci (QTL) throughout the genome. Unfortu-
nately, simple mapping of each individual mRNA trait on the scale of a typical microarray experiment is
computationally intensive, subject to high sample variance, and therefore underpowered. However, this
problem can be addressed by capitalizing on correlation among the large number of mRNA traits. We
present a method to reduce the dimensionality for mapping gene expression data as quantitative traits.
We used a blind method, principal components, and a sighted method, hierarchical clustering seeded by

  

Source: Attie, Alan D. - Department of Biochemistry, University of Wisconsin at Madison
Yandell, Brian S. - Departments of Statistics & Horticulture, University of Wisconsin at Madison

 

Collections: Biology and Medicine; Mathematics