The role of KIR in disease
The role of KIR in disease
Following the cloning of the killer cell immunoglobulin-like (KIR) genes in 1995 (Colonna M, Samaridis J. Science 268(5209):405–408, 1995) their population diversity has become increasingly apparent. This has spawned a plethora of disease association studies. As the KIR genes need to be considered in combination with their MHC class I ligands, this has added complexity to the analysis of these studies. KIR, and KIR:MHC class I gene combinations have been associated with viral infections, autoimmunity, transplantation and pregnancy-associated disorders. Simple rules, with which to interpret these datasets, are often difficult to find and, as our understanding of the interaction between KIR and MHC class I increases, the analysis of these datasets will become even more complex. This review attempts to summarize our current knowledge whilst indicating areas of potential further complexity
978-3-642-02308-8
275-298
Khakoo, Salim I.
6c16d2f5-ae80-4d9b-9100-6bfb34ad0273
2010
Khakoo, Salim I.
6c16d2f5-ae80-4d9b-9100-6bfb34ad0273
Khakoo, Salim I.
(2010)
The role of KIR in disease.
In,
Zimmer, Jacques
(ed.)
Natural Killer Cells: At the Forefront of Modern Immunology.
Heidelberg, DE.
Springer, .
(doi:10.1007/978-3-642-02309-5_15).
Record type:
Book Section
Abstract
Following the cloning of the killer cell immunoglobulin-like (KIR) genes in 1995 (Colonna M, Samaridis J. Science 268(5209):405–408, 1995) their population diversity has become increasingly apparent. This has spawned a plethora of disease association studies. As the KIR genes need to be considered in combination with their MHC class I ligands, this has added complexity to the analysis of these studies. KIR, and KIR:MHC class I gene combinations have been associated with viral infections, autoimmunity, transplantation and pregnancy-associated disorders. Simple rules, with which to interpret these datasets, are often difficult to find and, as our understanding of the interaction between KIR and MHC class I increases, the analysis of these datasets will become even more complex. This review attempts to summarize our current knowledge whilst indicating areas of potential further complexity
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Published date: 2010
Organisations:
Clinical & Experimental Sciences
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Local EPrints ID: 337667
URI: http://eprints.soton.ac.uk/id/eprint/337667
ISBN: 978-3-642-02308-8
PURE UUID: 3d6bd444-455b-4a01-ac0f-5f2a2381d5a8
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Date deposited: 02 May 2012 10:42
Last modified: 15 Mar 2024 03:12
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Editor:
Jacques Zimmer
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