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Targeted next-generation sequencing: A novel diagnostic tool for primary immunodeficiencies

  • IJ Nijman
  • , JM van Montfrans
  • , M Hoogstraat
  • , ML Boes
  • , L van de Corput
  • , ED Renner
  • , P van Zon
  • , S van Lieshout
  • , MG Elferink
  • , Mirjam van der Burg
  • , CE Vermont
  • , B Van der Zwaag
  • , E Janson
  • , E Cuppen
  • , JKP van Amstel
  • , ME van Gijn
  • External organisation

Research output: Contribution to journalArticleAcademicpeer-review

141 Citations (Scopus)

Abstract

Background: Primary immunodeficiency (PID) disorders are a heterogeneous group of inherited disorders caused by a variety of monogenetic immune defects. Thus far, mutations in more than 170 different genes causing PIDs have been described. A clear genotype-phenotype correlation is often not available, which makes a genetic diagnosis in patients with PIDs complex and laborious. Objective: We sought to develop a robust, time-effective, and cost-effective diagnostic method to facilitate a genetic diagnosis in any of 170 known PID-related genes by using next-generation sequencing (NGS). Methods: We used both targeted array-based and in-solution enrichment combined with a SOLiD sequencing platform and a bioinformatic pipeline developed in house to analyze genetic changes in the DNA of 41 patients with PIDs with known mutations and 26 patients with undiagnosed PIDs. Results: This novel NGS-based method accurately detected point mutations (sensitivity and specificity >99% in covered regions) and exonic deletions (100% sensitivity and specificity). For the 170 genes of interest, the DNA coverage was greater than 203 in 90% to 95%. Nine PID-related genes proved not eligible for evaluation by using this NGS-based method because of inadequate coverage. The NGS method allowed us to make a genetic diagnosis in 4 of 26 patients who lacked a genetic diagnosis despite routine functional and genetic testing. Three of these patients proved to have an atypical presentation of previously described PIDs. Conclusion: This novel NGS tool facilitates accurate simultaneous detection of mutations in 161 of 170 known PID-related genes. In addition, these analyses will generate more insight into genotype-phenotype correlations for the different PID disorders.
Original languageUndefined/Unknown
Pages (from-to)529-+
JournalJournal of Allergy and Clinical Immunology
Volume133
Issue number2
DOIs
Publication statusPublished - 2014

Research programs

  • EMC MM-02-72-01

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