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Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing
Journal article   Open access   Peer reviewed

Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing

W. Xiao, L. Ren, Z. Chen, L.T. Fang, Y. Zhao, J. Lack, M. Guan, B. Zhu, E. Jaeger, L. Kerrigan, …
Nature Biotechnology, Vol.39(9), pp.1141-1150
2021
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Abstract

Clinical applications of precision oncology require accurate tests that can distinguish true cancer-specific mutations from errors introduced at each step of next-generation sequencing (NGS). To date, no bulk sequencing study has addressed the effects of cross-site reproducibility, nor the biological, technical and computational factors that influence variant identification. Here we report a systematic interrogation of somatic mutations in paired tumor–normal cell lines to identify factors affecting detection reproducibility and accuracy at six different centers. Using whole-genome sequencing (WGS) and whole-exome sequencing (WES), we evaluated the reproducibility of different sample types with varying input amount and tumor purity, and multiple library construction protocols, followed by processing with nine bioinformatics pipelines. We found that read coverage and callers affected both WGS and WES reproducibility, but WES performance was influenced by insert fragment size, genomic copy content and the global imbalance score (GIV; G > T/C > A). Finally, taking into account library preparation protocol, tumor content, read coverage and bioinformatics processes concomitantly, we recommend actionable practices to improve the reproducibility and accuracy of NGS experiments for cancer mutation detection.

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Collaboration types
Industry collaboration
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Citation topics
1 Clinical & Life Sciences
1.189 Genome Studies
1.189.310 Population Genetics
Web Of Science research areas
Biotechnology & Applied Microbiology
ESI research areas
Biology & Biochemistry
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