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BRCA testing by single-molecule molecular inversion probes

  • Kornelia Neveling
  • , Arjen R. Mensenkamp
  • , Ronny Derks
  • , Michael Kwint
  • , Hicham Ouchene
  • , Marloes Steehouwer
  • , Bart Van Lier
  • , Ermanno Bosgoed
  • , Alwin Rikken
  • , Marloes Tychon
  • , Dimitra Zafeiropoulou
  • , Steven Castelein
  • , Jayne Hehir-Kwa
  • , Djie Tjwan Thung
  • , Tom Hofste
  • , Stefan H. Lelieveld
  • , Stijn M.M. Bertens
  • , Ivo B.J.F. Adan
  • , Astrid Eijkelenboom
  • , Bastiaan B. Tops
  • Helger Yntema, Tomasz Stokowy, Per M. Knappskog, Hildegunn Høberg-Vetti, Vidar M. Steen, Evan Boyle, Beth Martin, Marjolijn J.L. Ligtenberg, Jay Shendure, Marcel R. Nelen, Alexander Hoischen

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)

Abstract

BACKGROUND: Despite advances in next generation DNA sequencing (NGS), NGS-based single gene tests for diagnostic purposes require improvements in terms of completeness, quality, speed, and cost. Single-molecule molecular inversion probes (smMIPs) are a technology with unrealized potential in the area of clinical genetic testing. In this proofof- concept study, we selected 2 frequently requested gene tests, those for the breast cancer genes BRCA1 and BRCA2, and developed an automated work flow based on smMIPs. METHODS: The BRCA1 and BRCA2 smMIPs were validated using 166 human genomic DNA samples with known variant status. A generic automated work flow was built to perform smMIP-based enrichment and sequencing for BRCA1, BRCA2, and the checkpoint kinase 2 (CHEK2) c.1100del variant. RESULTS: Pathogenic and benign variants were analyzed in a subset of 152 previously BRCA-genotyped samples, yielding an analytical sensitivity and specificity of 100%. Following automation, blind analysis of 65 in-house samples and 267 Norwegian samples correctly identified all true-positive variants (3000), with no false positives. Consequent to process optimization, turnaround times were reduced by 60% to currently 10-15 days. Copy number variants were detected with an analytical sensitivity of 100% and an analytical specificity of 88%. CONCLUSIONS: smMIP-based genetic testing enables automated and reliable analysis of the coding sequences of BRCA1 and BRCA2. The use of single-molecule tags, double-tiled targeted enrichment, and capturing and sequencing in duplo, in combination with automated library preparation and data analysis, results in a robust process and reduces routine turnaround times. Furthermore, smMIP-based copy number variation analysis could make independent copy number variation tools like multiplex ligation-dependent probes amplification dispensable.

Original languageEnglish
Pages (from-to)503-512
Number of pages10
JournalClinical chemistry
Volume63
Issue number2
DOIs
Publication statusPublished - Feb 2017
Externally publishedYes

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