Literature DB >> 15808311

The genetic dissection of immune response using gene-expression studies and genome mapping.

Dirk-Jan de Koning1, Orjan Carlborg, Chris S Haley.   

Abstract

Functional genomics has been applied to the genetic dissection of immune response in different ways: (1) experimental crosses between lines that differ in their (non-) specific immune response have been used to detect quantitative trait loci (QTL) underlying these differences. (2) The measurement of gene expression levels for thousands of genes using microarrays or oligonucleotide chips to identify differential expression with regard to antigen challenge: (a) before and after infection, (b) resistant versus susceptible lines, or (c) combinations of both. Interpretation of QTL results is hampered by the fact that confidence regions of the QTL are large and can contain hundreds of potential candidate genes for the QTL. At the same time, the microarray experiments tend to show large numbers of differentially expressed genes without identifying the relationships between these genes. In the recently proposed 'genetical genomics' framework, members of a segregating population are characterised for genome-wide molecular markers and for gene expression levels. This facilitates the mapping of expression-QTL (eQTL): loci in the genome that control the expression of genes. Initial applications of this approach are critically reviewed and potential applications of this approach with regard to immune response are presented.

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Year:  2005        PMID: 15808311     DOI: 10.1016/j.vetimm.2005.02.007

Source DB:  PubMed          Journal:  Vet Immunol Immunopathol        ISSN: 0165-2427            Impact factor:   2.046


  13 in total

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Authors:  Lei Bao; Lai Wei; Jeremy L Peirce; Ramin Homayouni; Hongqiang Li; Mi Zhou; Hao Chen; Lu Lu; Robert W Williams; Lawrence M Pfeffer; Dan Goldowitz; Yan Cui
Journal:  Mamm Genome       Date:  2006-06-12       Impact factor: 2.957

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Authors:  Muhammad Jasim Uddin; Christine Grosse-Brinkhaus; Mehmet Ulas Cinar; Elisabeth Jonas; Dawit Tesfaye; Ernst Tholen; Heinz Juengst; Christian Looft; Siriluck Ponsuksili; Klaus Wimmers; Chirawath Phatsara; Karl Schellander
Journal:  Mamm Genome       Date:  2010-06-22       Impact factor: 2.957

3.  Differentially expressed genes in MHC-compatible rat strains that are susceptible or resistant to experimental autoimmune uveitis.

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Journal:  Invest Ophthalmol Vis Sci       Date:  2008-02-15       Impact factor: 4.799

4.  Serious limitations of the QTL/microarray approach for QTL gene discovery.

Authors:  Ricardo A Verdugo; Charles R Farber; Craig H Warden; Juan F Medrano
Journal:  BMC Biol       Date:  2010-07-12       Impact factor: 7.431

Review 5.  Mapping complex disease traits with global gene expression.

Authors:  William Cookson; Liming Liang; Gonçalo Abecasis; Miriam Moffatt; Mark Lathrop
Journal:  Nat Rev Genet       Date:  2009-03       Impact factor: 53.242

6.  Quantitative trait loci analysis for leg weakness-related traits in a Duroc × Pietrain crossbred population.

Authors:  Watchara Laenoi; Muhammad Jasim Uddin; Mehmet Ulas Cinar; Christine Grosse-Brinkhaus; Dawit Tesfaye; Elisabeth Jonas; Armin M Scholz; Ernst Tholen; Christian Looft; Klaus Wimmers; Chirawath Phatsara; Heinz Juengst; Helga Sauerwein; Manfred Mielenz; Karl Schellander
Journal:  Genet Sel Evol       Date:  2011-03-20       Impact factor: 4.297

7.  Discovery of novel genetic networks associated with 19 economically important traits in beef cattle.

Authors:  Zhihua Jiang; Jennifer J Michal; Jie Chen; Tyler F Daniels; Tanja Kunej; Matthew D Garcia; Charles T Gaskins; Jan R Busboom; Leeson J Alexander; Raymond W Wright; Michael D Macneil
Journal:  Int J Biol Sci       Date:  2009-07-29       Impact factor: 6.580

8.  Evolutionary conservation of metabolism explains howDrosophila nutrigenomics can help us understand human nutrigenomics.

Authors:  Douglas M Ruden; Xiangyi Lu
Journal:  Genes Nutr       Date:  2006-06       Impact factor: 4.423

9.  Microsatellite mapping of QTLs affecting resistance to coccidiosis (Eimeria tenella) in a Fayoumi x White Leghorn cross.

Authors:  Marie-Hélène Pinard-van der Laan; Bertrand Bed'hom; Jean-Luc Coville; Frédérique Pitel; Katia Feve; Sophie Leroux; Hélène Legros; Aurélie Thomas; David Gourichon; Jean-Michel Repérant; Paul Rault
Journal:  BMC Genomics       Date:  2009-01-20       Impact factor: 3.969

10.  The peripheral blood transcriptome reflects variations in immunity traits in swine: towards the identification of biomarkers.

Authors:  Núria Mach; Yu Gao; Gaëtan Lemonnier; Jérôme Lecardonnel; Isabelle P Oswald; Jordi Estellé; Claire Rogel-Gaillard
Journal:  BMC Genomics       Date:  2013-12-17       Impact factor: 3.969

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