Literature DB >> 9877523

Identifying candidate genes for blood pressure quantitative trait loci using differential gene expression and a panel of congenic strains.

G T Cicila1, S J Lee.   

Abstract

The most difficult step in dissecting the molecular basis of a quantitative trait is proceeding from chromosomal locations associated with this trait (i.e., quantitative trait locus, QTL) to determining what gene(s) in the QTL region is causative. Using standard positional cloning methodology to identify candidate genes for a particular QTL has three drawbacks: 1) it is labor intensive; 2) defining variants in genes causing quantitative variation from sequence information alone is difficult or impossible; and 3) many (or most) genes in a particular chromosomal interval will not be relevant for a specific disease/trait because they are not expressed in critical candidate organs. Instead of positional cloning, we propose using a panel of congenic strains, where each carries an allele for a different QTL on a similar genetic background, in conjunction with identification of differentially-expressed genes in target organs of inbred strains of contrasting phenotype. This will identify genes having altered expression in organs critical to regulating blood pressure and the development of hypertension. Radiation hybrid mapping of such genes will result in a transcription map of differentially-expressed genes in a target organ of a rat model of genetic hypertension. This approach could rapidly identify genes mapping to genomic regions near QTL, which will be strong candidates to explain, in part, the observed strain differences in blood pressure. This novel approach, which uses a panel of congenic strains to facilitate the mapping and subsequent identification of differentially-expressed and QTL-associated genes, should be applicable to any genetic model for identifying candidate genes located near QTL, given the availability of a panel of congenic strains.

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Year:  1998        PMID: 9877523     DOI: 10.1291/hypres.21.289

Source DB:  PubMed          Journal:  Hypertens Res        ISSN: 0916-9636            Impact factor:   3.872


  3 in total

1.  Fine-mapping and comprehensive transcript analysis reveals nonsynonymous variants within a novel 1.17 Mb blood pressure QTL region on rat chromosome 10.

Authors:  Yasser Saad; Michael R Garrett; Ezhilarasi Manickavasagam; Shane Yerga-Woolwine; Phyllis Farms; Tracy Radecki; Bina Joe
Journal:  Genomics       Date:  2007-01-10       Impact factor: 5.736

2.  Closely linked non-additive blood pressure quantitative trait loci.

Authors:  Edward J Toland; Yasser Saad; Shane Yerga-Woolwine; Steven Ummel; Phyllis Farms; Ramona Ramdath; Bryan C Frank; Norman H Lee; Bina Joe
Journal:  Mamm Genome       Date:  2008-03-07       Impact factor: 2.957

Review 3.  Strategy for uncovering complex determinants of hypertension using animal models.

Authors:  G T Cicila
Journal:  Curr Hypertens Rep       Date:  2000-04       Impact factor: 5.369

  3 in total

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