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Towards accurate indel calling for oncopanel sequencing through an international pipeline competition at precisionFDA

Authors :
Binsheng Gong
Samir Lababidi
Rebecca Kusko
Khaled Bouri
Sarah Prezek
Vishal Thovarai
Anish Prasanna
Ezekiel J. Maier
Mahdi Golkaram
Xingqiang Sun
Konstantinos Kyriakidis
João Paulo Kitajima
Sayed Mohammad Ebrahim Sahraeian
Yunfei Guo
Elaine Johanson
Wendell Jones
Weida Tong
Joshua Xu
Source :
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Accurately calling indels with next-generation sequencing (NGS) data is critical for clinical application. The precisionFDA team collaborated with the U.S. Food and Drug Administration’s (FDA’s) National Center for Toxicological Research (NCTR) and successfully completed the NCTR Indel Calling from Oncopanel Sequencing Data Challenge, to evaluate the performance of indel calling pipelines. Top performers were selected based on precision, recall, and F1-score. The performance of many other pipelines was close to the top performers, which produced a top cluster of performers. The performance was significantly higher in high confidence regions and coding regions, and significantly lower in low complexity regions. Oncopanel capture and other issues may have occurred that affected the recall rate. Indels with higher variant allele frequency (VAF) may generally be called with higher confidence. Many of the indel calling pipelines had good performance. Some of them performed generally well across all three oncopanels, while others were better for a specific oncopanel. The performance of indel calling can further be improved by restricting the calls within high confidence intervals (HCIs) and coding regions, and by excluding low complexity regions (LCR) regions. Certain VAF cut-offs could be applied according to the applications.

Details

Language :
English
ISSN :
20452322 and 44684290
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.fa59c4fa44684290a436974c57f268f0
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-024-58573-y