Comparing Quantitative Trait Loci and Gene Expression Data | Zendy

Bing Han | Zendy; Naomi Altman | Zendy; Jessica A. Mong | Zendy; Laura Cousino Klein | Zendy; Donald W. Pfaff | Zendy; David J. Vandenbergh | Zendy

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Comparing Quantitative Trait Loci and Gene Expression Data

Author(s) -

Bing Han,

Naomi Altman,

Jessica A. Mong,

Laura Cousino Klein,

Donald W. Pfaff,

David J. Vandenbergh

Publication year - 2008

Publication title -

advances in bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.33

H-Index - 20

eISSN - 1687-8035

pISSN - 1687-8027

DOI - 10.1155/2008/719818

Subject(s) - quantitative trait locus , family based qtl mapping , gene , genetics , trait , biology , genome , candidate gene , expression quantitative trait loci , genome wide association study , polygene , computational biology , single nucleotide polymorphism , chromosome , gene mapping , computer science , genotype , programming language

We develop methods to compare the positions of quantitative trait loci (QTL) with a set of genes selected by other methods, such as microarray experiments, from a sequenced genome. We apply our methods to QTL for addictive behavior in mouse, and a set of genes upregulated in a region of the brain associated with addictive behavior, the nucleus accumbens (NA). The association between the QTL and NA genes is not significantly stronger than expected by chance. However, chromosomes 2 and 16 do show strong associations suggesting that genes on these chromosomes might be associated with addictive behavior. The statistical methodology developed for this study can be applied to similar studies to assess the mutual information in microarray and QTL analyses.

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