Gene Mosaicism Screening Using Single-Molecule Molecular Inversion Probes in Routine Diagnostics for Systemic Autoinflammatory Diseases

Benjamin Kant*, Ellen C. Carbo, Iris Kokmeijer, Jelske J.M. Oosterman, Joost Frenkel, Morris A. Swertz, Johannes K. Ploos van Amstel, Juan I. Aróstegui, Marco J. Koudijs, Mariëlle E. van Gijn

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Diagnosis of systemic autoinflammatory diseases (SAIDs) is often difficult to achieve and can delay the start of proper treatments and result in irreversible organ damage. In several patients with dominantly inherited SAID, postzygotic mutations have been detected as the disease-causing gene defects. Mutations with allele frequencies <5% have been detected, even in patients with severe phenotypes. Next-generation sequencing techniques are currently used to detect mutations in SAID-associated genes. However, even if the genomic region is highly covered, this approach is usually not able to distinguish low-grade postzygotic variants from background noise. We, therefore, developed a sensitive deep sequencing assay for mosaicism detection in SAID-associated genes using single-molecule molecular inversion probes. Our results show the accurate detection of postzygotic variants with allele frequencies as low as 1%. The probability of calling mutations with allele frequencies ≥3% exceeds 99.9%. To date, we have detected three patients with mosaicism, two carrying likely pathogenic NLRP3 variants and one carrying a likely pathogenic TNFRSF1A variant with an allele frequency of 1.3%, confirming the relevance of the technology. The assay shown herein is a flexible, robust, fast, cost-effective, and highly reliable method for mosaicism detection; therefore, it is well suited for routine diagnostics.

Original languageEnglish
Pages (from-to)943-950
Number of pages8
JournalJournal of Molecular Diagnostics
Volume21
Issue number6
Early online date20 Aug 2019
DOIs
Publication statusPublished - 1 Nov 2019

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