Cargando…

Next-generation sequencing with comprehensive bioinformatics analysis facilitates somatic mosaic APC gene mutation detection in patients with familial adenomatous polyposis

BACKGROUND: Familial adenomatous polyposis (FAP) is an autosomal dominant colorectal tumor characterized by numerous adenomatous colonic polyps that often lead to colon cancer. Although most patients with FAP harbored germline mutations in APC gene, it was recently recognized that patients with clin...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Borahm, Won, Dongju, Jang, Mi, Kim, Hoguen, Choi, Jong Rak, Kim, Tae Il, Lee, Seung-Tae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610853/
https://www.ncbi.nlm.nih.gov/pubmed/31269945
http://dx.doi.org/10.1186/s12920-019-0553-0
_version_ 1783432578457403392
author Kim, Borahm
Won, Dongju
Jang, Mi
Kim, Hoguen
Choi, Jong Rak
Kim, Tae Il
Lee, Seung-Tae
author_facet Kim, Borahm
Won, Dongju
Jang, Mi
Kim, Hoguen
Choi, Jong Rak
Kim, Tae Il
Lee, Seung-Tae
author_sort Kim, Borahm
collection PubMed
description BACKGROUND: Familial adenomatous polyposis (FAP) is an autosomal dominant colorectal tumor characterized by numerous adenomatous colonic polyps that often lead to colon cancer. Although most patients with FAP harbored germline mutations in APC gene, it was recently recognized that patients with clinical FAP, but without detectable pathogenic mutations, could be associated with somatic mosaic APC mutation. METHODS: We reanalyzed the nest-generation sequencing (NGS) gene panel testing results of patients who were diagnosed with FAP, but did not have APC mutations, at Yonsei Cancer Prevention Center between July 2016 and March 2018. We tested several variant calling algorithms to identify low level mosaic variants. In one patient with a low frequency APC mutation, NGS analysis was performed together with endoscopic biopsy. Variant calling tools HaplotypeCaller, MuTect2, VarScan2, and Pindel were used. We also used 3′-Modified Oligonucleotides (MEMO)-PCR or conventional PCR for confirmation. RESULTS: Among 28 patients with clinical suspicion of FAP but no detectable pathogenic variants of colonic polyposis associated genes, somatic mosaic pathogenic variants were identified in seven patients. The variant allele frequency ranged from 0.3 to 7.7%. These variants were mostly detected through variant caller MuTect2 and Pindel, and were further confirmed using mutant enrichment with MEMO-PCR. CONCLUSIONS: The NGS with an adequate combination of bioinformatics tools is effective to detect low level somatic variants in a single assay. Because mosaic APC mutations are more frequent than previously thought, the presence of mosaic mutations must be considered when analyzing genetic tests of patients with FAP. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-019-0553-0) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6610853
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-66108532019-07-16 Next-generation sequencing with comprehensive bioinformatics analysis facilitates somatic mosaic APC gene mutation detection in patients with familial adenomatous polyposis Kim, Borahm Won, Dongju Jang, Mi Kim, Hoguen Choi, Jong Rak Kim, Tae Il Lee, Seung-Tae BMC Med Genomics Research Article BACKGROUND: Familial adenomatous polyposis (FAP) is an autosomal dominant colorectal tumor characterized by numerous adenomatous colonic polyps that often lead to colon cancer. Although most patients with FAP harbored germline mutations in APC gene, it was recently recognized that patients with clinical FAP, but without detectable pathogenic mutations, could be associated with somatic mosaic APC mutation. METHODS: We reanalyzed the nest-generation sequencing (NGS) gene panel testing results of patients who were diagnosed with FAP, but did not have APC mutations, at Yonsei Cancer Prevention Center between July 2016 and March 2018. We tested several variant calling algorithms to identify low level mosaic variants. In one patient with a low frequency APC mutation, NGS analysis was performed together with endoscopic biopsy. Variant calling tools HaplotypeCaller, MuTect2, VarScan2, and Pindel were used. We also used 3′-Modified Oligonucleotides (MEMO)-PCR or conventional PCR for confirmation. RESULTS: Among 28 patients with clinical suspicion of FAP but no detectable pathogenic variants of colonic polyposis associated genes, somatic mosaic pathogenic variants were identified in seven patients. The variant allele frequency ranged from 0.3 to 7.7%. These variants were mostly detected through variant caller MuTect2 and Pindel, and were further confirmed using mutant enrichment with MEMO-PCR. CONCLUSIONS: The NGS with an adequate combination of bioinformatics tools is effective to detect low level somatic variants in a single assay. Because mosaic APC mutations are more frequent than previously thought, the presence of mosaic mutations must be considered when analyzing genetic tests of patients with FAP. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-019-0553-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-03 /pmc/articles/PMC6610853/ /pubmed/31269945 http://dx.doi.org/10.1186/s12920-019-0553-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kim, Borahm
Won, Dongju
Jang, Mi
Kim, Hoguen
Choi, Jong Rak
Kim, Tae Il
Lee, Seung-Tae
Next-generation sequencing with comprehensive bioinformatics analysis facilitates somatic mosaic APC gene mutation detection in patients with familial adenomatous polyposis
title Next-generation sequencing with comprehensive bioinformatics analysis facilitates somatic mosaic APC gene mutation detection in patients with familial adenomatous polyposis
title_full Next-generation sequencing with comprehensive bioinformatics analysis facilitates somatic mosaic APC gene mutation detection in patients with familial adenomatous polyposis
title_fullStr Next-generation sequencing with comprehensive bioinformatics analysis facilitates somatic mosaic APC gene mutation detection in patients with familial adenomatous polyposis
title_full_unstemmed Next-generation sequencing with comprehensive bioinformatics analysis facilitates somatic mosaic APC gene mutation detection in patients with familial adenomatous polyposis
title_short Next-generation sequencing with comprehensive bioinformatics analysis facilitates somatic mosaic APC gene mutation detection in patients with familial adenomatous polyposis
title_sort next-generation sequencing with comprehensive bioinformatics analysis facilitates somatic mosaic apc gene mutation detection in patients with familial adenomatous polyposis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610853/
https://www.ncbi.nlm.nih.gov/pubmed/31269945
http://dx.doi.org/10.1186/s12920-019-0553-0
work_keys_str_mv AT kimborahm nextgenerationsequencingwithcomprehensivebioinformaticsanalysisfacilitatessomaticmosaicapcgenemutationdetectioninpatientswithfamilialadenomatouspolyposis
AT wondongju nextgenerationsequencingwithcomprehensivebioinformaticsanalysisfacilitatessomaticmosaicapcgenemutationdetectioninpatientswithfamilialadenomatouspolyposis
AT jangmi nextgenerationsequencingwithcomprehensivebioinformaticsanalysisfacilitatessomaticmosaicapcgenemutationdetectioninpatientswithfamilialadenomatouspolyposis
AT kimhoguen nextgenerationsequencingwithcomprehensivebioinformaticsanalysisfacilitatessomaticmosaicapcgenemutationdetectioninpatientswithfamilialadenomatouspolyposis
AT choijongrak nextgenerationsequencingwithcomprehensivebioinformaticsanalysisfacilitatessomaticmosaicapcgenemutationdetectioninpatientswithfamilialadenomatouspolyposis
AT kimtaeil nextgenerationsequencingwithcomprehensivebioinformaticsanalysisfacilitatessomaticmosaicapcgenemutationdetectioninpatientswithfamilialadenomatouspolyposis
AT leeseungtae nextgenerationsequencingwithcomprehensivebioinformaticsanalysisfacilitatessomaticmosaicapcgenemutationdetectioninpatientswithfamilialadenomatouspolyposis