TY - JOUR
T1 - BRCA testing by single-molecule molecular inversion probes
AU - Neveling, Kornelia
AU - Mensenkamp, Arjen R.
AU - Derks, Ronny
AU - Kwint, Michael
AU - Ouchene, Hicham
AU - Steehouwer, Marloes
AU - Lier, Bart Van
AU - Bosgoed, Ermanno
AU - Rikken, Alwin
AU - Tychon, Marloes
AU - Zafeiropoulou, Dimitra
AU - Castelein, Steven
AU - Hehir-Kwa, Jayne
AU - Thung, Djie Tjwan
AU - Hofste, Tom
AU - Lelieveld, Stefan H.
AU - Bertens, Stijn M.M.
AU - Adan, Ivo B.J.F.
AU - Eijkelenboom, Astrid
AU - Tops, Bastiaan B.
AU - Yntema, Helger
AU - Stokowy, Tomasz
AU - Knappskog, Per M.
AU - Høberg-Vetti, Hildegunn
AU - Steen, Vidar M.
AU - Boyle, Evan
AU - Martin, Beth
AU - Ligtenberg, Marjolijn J.L.
AU - Shendure, Jay
AU - Nelen, Marcel R.
AU - Hoischen, Alexander
N1 - Publisher Copyright:
© 2016 American Association for Clinical Chemistry.
PY - 2017/2
Y1 - 2017/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85011585214&partnerID=8YFLogxK
U2 - 10.1373/clinchem.2016.263897
DO - 10.1373/clinchem.2016.263897
M3 - Article
C2 - 27974384
AN - SCOPUS:85011585214
SN - 0009-9147
VL - 63
SP - 503
EP - 512
JO - Clinical Chemistry
JF - Clinical Chemistry
IS - 2
ER -