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Rheumatoid arthritis: identifying and characterising polymorphisms using rat models

Authors :
Yau, Anthony C. Y.
Holmdahl, Rikard
Source :
Disease Models & Mechanisms, Disease Models & Mechanisms, Vol 9, Iss 10, Pp 1111-1123 (2016)
Publication Year :
2016
Publisher :
The Company of Biologists, 2016.

Abstract

Rheumatoid arthritis is a chronic inflammatory joint disorder characterised by erosive inflammation of the articular cartilage and by destruction of the synovial joints. It is regulated by both genetic and environmental factors, and, currently, there is no preventative treatment or cure for this disease. Genome-wide association studies have identified ∼100 new loci associated with rheumatoid arthritis, in addition to the already known locus within the major histocompatibility complex II region. However, together, these loci account for only a modest fraction of the genetic variance associated with this disease and very little is known about the pathogenic roles of most of the risk loci identified. Here, we discuss how rat models of rheumatoid arthritis are being used to detect quantitative trait loci that regulate different arthritic traits by genetic linkage analysis and to positionally clone the underlying causative genes using congenic strains. By isolating specific loci on a fixed genetic background, congenic strains overcome the challenges of genetic heterogeneity and environmental interactions associated with human studies. Most importantly, congenic strains allow functional experimental studies be performed to investigate the pathological consequences of natural genetic polymorphisms, as illustrated by the discovery of several major disease genes that contribute to arthritis in rats. We discuss how these advances have provided new biological insights into arthritis in humans.<br />Summary: Using experimental models of rheumatoid arthritis, natural genetic polymorphisms associated with arthritis are identified and characterised in rats, bringing in new biological insights into arthritis in humans.

Details

ISSN :
17548411 and 17548403
Volume :
9
Database :
OpenAIRE
Journal :
Disease Models & Mechanisms
Accession number :
edsair.doi.dedup.....9ead5cfe2aaf6de68d3d336d7789d627