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Originally published as Genetics Published Articles Ahead of Print on August 3, 2005.
Genetics, Vol. 171, 1231-1238, November 2005, Copyright © 2005
doi:10.1534/genetics.104.038174
Expression Quantitative Trait Loci Analysis of 13 Genes in the Rat Prostate
Satoshi Yamashita, Kuniko Wakazono, Tomoko Nomoto, Yoshimi Tsujino, Takashi Kuramoto and Toshikazu Ushijima1
Carcinogenesis Division, National Cancer Center Research Institute, Chuo-ku, Tokyo 104-0045, Japan
1 Corresponding author: Carcinogenesis Division, National Cancer Center Research Institute, 1-1 Tsukiji 5-chome, Chuo-ku, Tokyo 104-0045, Japan.
E-mail: tushijim{at}ncc.go.jp
Differential expression of mRNA among animal strains is one of the mechanisms for their diversity. cDNA microarray analysis of the prostates of BUF/Nac (BUF) and ACI/N (ACI) rats, which show different susceptibility to prostate cancers, found 195 differentially expressed genes. To identify loci that control differential expression of 13 genes with diverse expression levels, their expression levels were measured by quantitative RT-PCR in 89 backcross rats, and expression quantitative trait locus (eQTL) analysis was performed. Nine genes [Aldh1a1, Aldr1, Bmp6, Cdkn1a (p21), Cntn6, Ghr, Jund, Nupr1, and RT1-M3] were controlled by cis-acting loci. Cdkn1a, a cell cycle regulator and a candidate for a prostate cancer susceptibility gene, was mapped to its own locus and had polymorphisms, including a 119-bp insertion in the 5' upstream region in BUF rats. Four genes (Kclr, Pbsn, Psat1, and Ptn) were controlled by trans-acting loci. Pbsn, a prostate-specific gene on chromosome X, was controlled by a QTL on chromosome 8. Depending upon which gene that we selected from the genes widely used for normalization (Actb, Gapd, or Ppia), different QTL were mapped for Kclr, Psat1, and Ptn. Normalization using Actb most appropriately explained the expression levels in a congenic strain for chromosome 3. eQTL analysis with precise measurement of expression levels and appropriate normalization was shown to be effective for mapping loci that control gene expression in vivo.
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