Skip to main navigation Skip to search Skip to main content

Targeted deep sequencing identifies mosaicism in patients with immune dysregulation

  • Elizabeth G. Schmitz
  • , Alexander J. Paul
  • , Rajarshi Ghosh
  • , Nermina Saucier
  • , Ana Kolicheski
  • , Samuel I. Risma
  • , Kristen P. McDaniels
  • , Michelle Liu
  • , Katie L. Lewis
  • , Adriana A. de Jesus
  • , Sara Alehashemi
  • , Catrina C. Fronick
  • , David Stein
  • , Daniela Dominguez
  • , Linda T. Hiraki
  • , Jessica H. Lee
  • , Stephanie Norman
  • , Christine R. Peng
  • , Brant R. Ward
  • , Leah H. Pettiford
  • Anna Platt, Monica G. Lawrence, Joseph M. Rocco, Waleed Al-herz, Christa S. Zerbe, T. Prescott Atkinson, Xiao P. Peng, Eric J. Allenspach, David P. Hoytema van Konijnenburg, Craig D. Platt, Megan Elkins, Jolan E. Walter, Jack J. Bleesing, Amy Klion, Ramya Ramaswami, Gulbu Uzel, Michail S. Lionakis, Dilan Dissanayake, Helen C. Su, Irene Cortese, Ivan J. Fuss, Jenna R.E. Bergerson, Lesia Dropulic, Irini Sereti, Andrea Lisco, Yuval Itan, Joshua D. Milner, Dusan Bogunovic, Raphaela Goldbach-Mansky, V. Koneti Rao, Ottavia M. Delmonte, Luigi D. Notarangelo, Michael D. Keller, Jessica Durkee-Shock, Jeffrey I. Cohen, Morgan N. Similuk, Steven M. Holland, Malachi Griffith, Obi L. Griffith, Tiphanie P. Vogel, Scott Canna, Alexandra F. Freeman, Magdalena A. Walkiewicz, Megan A. Cooper

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Background: Identifying genetic mechanisms of inborn errors of immunity (IEI) is important for diagnosis and treatment of patients, yet most patients with suspected IEI have negative genetic testing results. Genetic mosaicism is an emerging mechanism of IEI, but it is challenging to identify. Objective: We used a discovery-based approach to identify mosaic variants in genes relevant to immune dysregulation in patient and healthy cohorts. Methods: We developed custom panels for high-depth sequencing of genes known or hypothesized to cause dominant immune dysregulation. Samples from 452 patients with immune dysregulation (affected) and 154 currently healthy were sequenced using 71- or 101-gene targeted panels. Results: We identified mosaic variants in 9.5% of undiagnosed patients and 7.8% of healthy individuals. Using a strategy to predict pathogenicity of variants in IEI, 33% of variants identified in patients were predicted to be likely pathogenic or pathogenic, while no mosaic variants in healthy individuals were predicted to be pathogenic. Genes with mosaicism in >1 affected undiagnosed patients included FAS, STAT3, CARD11, CARD14, NRAS, TNFAIP3, NLRP3, and IKZF2. Four patients had variants in FAS with allele fractions <5% in blood but highly enriched in double-negative T cells, diagnostic for somatic FAS autoimmune lymphoproliferative syndrome. Conclusion: These findings establish the utility of a high-depth sequencing panel to identify mosaic variants and demonstrate that mosaicism in immune-relevant genes is present in healthy individuals.

Original languageEnglish
Pages (from-to)1179-1194
Number of pages16
JournalJournal of Allergy and Clinical Immunology
Volume157
Issue number5
DOIs
StatePublished - May 2026

Keywords

  • Inborn errors of immunity
  • autoimmune lymphoproliferative syndrome
  • genetic errors of immunity
  • genetic sequencing
  • mosaicism
  • primary immunodeficiency
  • somatic mutation

Fingerprint

Dive into the research topics of 'Targeted deep sequencing identifies mosaicism in patients with immune dysregulation'. Together they form a unique fingerprint.

Cite this