Abstract

Background Chronic infantile neurological cutaneous and articular syndrome (CINCA), also known as neonatal-onset multisystem inflammatory disease (NOMID) is characterized by urticarial rash, neurological manifestations and arthropathy. This dominantly-inherited systemic autoinflammatory disease is provoked by heterozygous germline gain-of-function NLRP3 mutations, although conventional genetic analyses failed to detect diseasecausing mutations in approximately 40% of patients. In these patients, NLRP3 somatic mosaicism was reported to be disease-causing and recently, high incidence of NLRP3 somatic mosaicism was reported in the international study. In the study, subcloning and Sanger sequencing were used to detect NLRP3 somatic mosaicism. However, the method requires time-consuming sample preparation and enormous cost to run enough sequencing per sample to detect low-level somatic mosaicism.

Highlights

  • Chronic infantile neurological cutaneous and articular syndrome (CINCA), known as neonatal-onset multisystem inflammatory disease (NOMID) is characterized by urticarial rash, neurological manifestations and arthropathy. This dominantly-inherited systemic autoinflammatory disease is provoked by heterozygous germline gain-of-function NLRP3 mutations, conventional genetic analyses failed to detect diseasecausing mutations in approximately 40% of patients

  • NLRP3 somatic mosaicism was reported to be disease-causing and recently, high incidence of NLRP3 somatic mosaicism was reported in the international study

  • No mosaicism was detected in 50 healthy donors

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Summary

Open Access

Diagnosis of NLRP3 somatic mosaicism in CINCA/NOMID patients using next-generation sequencing. K Izawa1*, R Nishikomori, N Tanikaze, MK Saito, R Goldbach-Mansky, I Aksentijevich, T Yasumi, T Kawai, T Nakahata, T Heike, O Ohara. From 18th Pediatric Rheumatology European Society (PReS) Congress Bruges, Belgium. From 18th Pediatric Rheumatology European Society (PReS) Congress Bruges, Belgium. 14-18 September 2011

Background
Conclusions
Methods

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