CC BY 4.0 · AIMS Genet 2015; 02(04): 263-280
DOI: 10.3934/genet.2015.4.263
Research article

Pros and cons of HaloPlex enrichment in cancer predisposition genetic diagnosis

Agnès Collet
1   Institut Curie, Département de Biopathologie, Paris, France
,
Julien Tarabeux
1   Institut Curie, Département de Biopathologie, Paris, France
,
Elodie Girard
3   Institut Curie, Paris, France
4   Inserm U900, Paris, France
5   Mines ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, Fontainebleau, France
,
Catherine Dubois D’Enghien
1   Institut Curie, Département de Biopathologie, Paris, France
,
Lisa Golmard
1   Institut Curie, Département de Biopathologie, Paris, France
2   Institut Curie, Inserm U830, Paris, France
,
Vivien Deshaies
3   Institut Curie, Paris, France
4   Inserm U900, Paris, France
5   Mines ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, Fontainebleau, France
,
Alban Lermine
3   Institut Curie, Paris, France
4   Inserm U900, Paris, France
5   Mines ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, Fontainebleau, France
,
Anthony Laugé
1   Institut Curie, Département de Biopathologie, Paris, France
,
Virginie Moncoutier
1   Institut Curie, Département de Biopathologie, Paris, France
,
Cédrick Lefol
1   Institut Curie, Département de Biopathologie, Paris, France
,
Florence Copigny
1   Institut Curie, Département de Biopathologie, Paris, France
,
Catherine Dehainault
1   Institut Curie, Département de Biopathologie, Paris, France
,
Henrique Tenreiro
1   Institut Curie, Département de Biopathologie, Paris, France
,
Christophe Guy
1   Institut Curie, Département de Biopathologie, Paris, France
,
Khadija Abidallah
1   Institut Curie, Département de Biopathologie, Paris, France
,
Catherine Barbaroux
1   Institut Curie, Département de Biopathologie, Paris, France
,
Etienne Rouleau
1   Institut Curie, Département de Biopathologie, Paris, France
,
Nicolas Servant
3   Institut Curie, Paris, France
4   Inserm U900, Paris, France
5   Mines ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, Fontainebleau, France
,
Antoine De Pauw
1   Institut Curie, Département de Biopathologie, Paris, France
,
Dominique Stoppa-Lyonnet
1   Institut Curie, Département de Biopathologie, Paris, France
2   Institut Curie, Inserm U830, Paris, France
6   Université Paris Descartes, Sorbonne Paris Cité, Paris, France
,
Claude Houdayer
1   Institut Curie, Département de Biopathologie, Paris, France
2   Institut Curie, Inserm U830, Paris, France
7   Faculté des Sciences pharmaceutiques et biologiques, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
› Author Affiliations

Abstract

Panel sequencing is a practical option in genetic diagnosis. Enrichment and library preparation steps are critical in the diagnostic setting. In order to test the value of HaloPlex technology in diagnosis, we designed a custom oncogenetic panel including 62 genes. The procedure was tested on a training set of 71 controls and then blindly validated on 48 consecutive hereditary breast/ovarian cancer (HBOC) patients tested negative for BRCA1/2 mutation. Libraries were sequenced on HiSeq2500 and data were analysed with our academic bioinformatics pipeline. Point mutations were detected using Varscan2, median size indels were detected using Pindel and large genomic rearrangements (LGR) were detected by DESeq. Proper coverage was obtained. However, highly variable read depth was observed within genes. Excluding pseudogene analysis, all point mutations were detected on the training set. All indels were also detected using Pindel. On the other hand, DESeq allowed LGR detection but with poor specificity, preventing its use in diagnostics. Mutations were detected in 8% of BRCA1/2-negative HBOC cases. HaloPlex technology appears to be an efficient and promising solution for gene panel diagnostics. Data analysis remains a major challenge and geneticists should enhance their bioinformatics knowledge in order to ensure good quality diagnostic results.

Supplementary Material



Publication History

Received: 17 October 2015

Accepted: 07 December 2015

Article published online:
10 May 2021

© 2015. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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