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PMID: 25151137 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Detection of inherited mutations for hereditary cancer using target enrichment and next generation sequencing.

Familial cancer ·Vol. 14 ·No. 1 ·2015-03-00 ·页码 9-18

Guan Y, Hu H, Peng Y, Gong Y, Yi Y, Shao L, Liu T, Li G, Wang R, Dai P, Bignon YJ, Xiao Z, Yang L, Mu F, Xiao L, Xie Z, Yan W, Xu N, Zhou D, Yi X

Abstract

Hereditary cancers occur because of inherited gene mutations. Genetic testing has been approved to provide information for risk assessment and rationale for appropriate intervention. Testing methods currently available for clinical use have some limitations, including sensitivity and testing throughput, etc. Next generation sequencing (NGS) has been rapidly evolving to increase testing sensitivity and throughput. It can be potentially used to identify inherited mutation in clinical diagnostic setting. Here we develop an effective method employing target enrichment and NGS platform to detect common as well as rare mutations for all common hereditary cancers in a single assay. Single base substitution across 115 hereditary cancer related genes using YH (the first Asian genome) was characterized to validate our method. Sensitivity, specificity and accuracy of 93.66, 99.98 and 99.97 %, were achieved, respectively. In addition, we correctly identified 53 SNVs and indels of BRCA1 and BRCA2 in two breast cancer specimens, all confirmed by Sanger sequencing. Accuracy in detecting copy number variation (CNV) was corroborated in 4 breast cancer specimens with known CNVs in BRAC1. Application of the method to 85 clinical cases revealed 22 deleterious mutations, 11 of which were novel. In summary, our studies demonstrate that the target enrichment combined with NGS method provides the accuracy, sensitivity, and high throughput for genetic testing for patients with high risk of hereditary or familial cancer.

MeSH 主题词
DNA Mutational Analysis/methods Genetic Predisposition to Disease/genetics High-Throughput Nucleotide Sequencing/methods Humans Neoplasms/genetics Sensitivity and Specificity
作者与单位
共 20 位作者,点击展开单位 / ORCID
Guan Yanfang
Binhai Genomics Institute, BGI-Tianjin, Tianjin, China.
Hu Hong
Peng Yin
Gong Yuhua
Yi Yuting
Shao Libin
Liu Tengfei
Li Gairui
Wang Rongjiao
Dai Pingping
Bignon Yves-Jean
Xiao Zhe
Yang Ling
Mu Feng
Xiao Liang
Xie Zeming
Yan Wenhui
Xu Nan
Zhou Dongxian
Yi Xin
Article Info
Journal
Familial cancer
Abbr.
Fam Cancer
ISSN
1573-7292
Published
2015-03-00
页码
9-18
Language
English
Country/Region
Netherlands
NLM ID
100898211
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