Abstract
The identification of quantitative trait loci, QTL, in arthritis animal models is a straight forward process. However, to identify the underlying genes is a great challenge. One strategy frequently used, is to combine QTL analysis with genomic/proteomic screens. This has resulted in a number of publications where carefully performed genomic analyses present likely candidate genes for their respective QTLs. However, seldom the findings are reconnected to the QTL controlled phenotypes. In this review, we use our own data as an illustrative example that “very likely candidate genes” identified by genomic/proteomics is not necessarily the same as true QTL underlying genes.
Keywords: Gene Expression Profiling, Cloning, quantitative trait loci, arthritis animal, phenotypes, proteomics, genomic analyses
Current Genomics
Title: Gene Expression Profiling as a Tool for Positional Cloning of Genes- Shortcut or the Longest Way Round
Volume: 9 Issue: 7
Author(s): Lena W. Rosenlof
Affiliation:
Keywords: Gene Expression Profiling, Cloning, quantitative trait loci, arthritis animal, phenotypes, proteomics, genomic analyses
Abstract: The identification of quantitative trait loci, QTL, in arthritis animal models is a straight forward process. However, to identify the underlying genes is a great challenge. One strategy frequently used, is to combine QTL analysis with genomic/proteomic screens. This has resulted in a number of publications where carefully performed genomic analyses present likely candidate genes for their respective QTLs. However, seldom the findings are reconnected to the QTL controlled phenotypes. In this review, we use our own data as an illustrative example that “very likely candidate genes” identified by genomic/proteomics is not necessarily the same as true QTL underlying genes.
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Cite this article as:
Rosenlof W. Lena, Gene Expression Profiling as a Tool for Positional Cloning of Genes- Shortcut or the Longest Way Round, Current Genomics 2008; 9 (7) . https://dx.doi.org/10.2174/138920208786241180
DOI https://dx.doi.org/10.2174/138920208786241180 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
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