The classification, genetic diagnosis and modelling of monogenic autoinflammatory disorders
- Author(s)
- Moghaddas, F; Masters, SL;
- Details
- Publication Year 2018-09-14,Volume 132,Issue #17,Page 1901-1924
- Journal Title
- Clinical Science
- Publication Type
- Journal Article
- Abstract
- Monogenic autoinflammatory disorders are an increasingly heterogeneous group of conditions characterised by innate immune dysregulation. Improved genetic sequencing in recent years has led not only to the discovery of a plethora of conditions considered to be 'autoinflammatory', but also the broadening of the clinical and immunological phenotypic spectra seen in these disorders. This review outlines the classification strategies that have been employed for monogenic autoinflammatory disorders to date, including the primary innate immune pathway or the dominant cytokine implicated in disease pathogenesis, and highlights some of the advantages of these models. Furthermore, the use of the term 'autoinflammatory' is discussed in relation to disorders that cross the innate and adaptive immune divide. The utilisation of next-generation sequencing (NGS) in this population is examined, as are potential in vivo and in vitro methods of modelling to determine pathogenicity of novel genetic findings. Finally, areas where our understanding can be improved are highlighted, such as phenotypic variability and genotype-phenotype correlations, with the aim of identifying areas of future research.
- Publisher
- Portland Press
- Research Division(s)
- Inflammation
- PubMed ID
- 30185613
- Publisher's Version
- https://doi.org/10.1042/CS20171498
- Open Access at Publisher's Site
https://doi.org/10.1042/CS20171498- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2018-09-14 02:33:44
Last Modified: 2018-09-14 02:39:25