The classification, genetic diagnosis and modelling of monogenic autoinflammatory disorders

Fiona Moghaddas, Seth L. Masters

Research output: Contribution to journalReview ArticleResearchpeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1901-1924
Number of pages24
JournalClinical Science
Volume132
Issue number17
DOIs
Publication statusPublished - 1 Sep 2018
Externally publishedYes

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