Performance comparison: exome sequencing as a single test replacing Sanger sequencing
- PMID: 33694043
- DOI: 10.1007/s00438-021-01772-3
Performance comparison: exome sequencing as a single test replacing Sanger sequencing
Abstract
Next generation sequencing tests are used routinely as first-choice tests in the clinic. However, systematic performance comparing the results of exome sequencing as a single test replacing Sanger sequencing of targeted gene(s) is still lacking. Performance comparison data are critically important for clinical case management. In this study, we compared Sanger-sequencing results of 258 genes to those obtained from next generation sequencing (NGS) using two exome-sequencing enrichment kits: Agilent-SureSelectQXT and Illumina-Nextera. Sequencing was performed on leukocytes and buccal-derived DNA from a single individual, and all 258 genes were sequenced a total of 11 times (using different sequencing methods and DNA sources). Sanger sequencing was completed for all exons, including flanking ± 8 bp regions. For the 258 genes, NGS mean coverage was > 20 × for > 98 and > 91% of the regions targeted by SureSelect and Nextera, respectively. Overall, 449 variants were identified in at least one experiment, and 407/449 (90.6%) were detected by all. Of the 42 discordant variants, 23 were determined as true calls, summing-up to a truth set of 430 variants. Sensitivity of true-variant detection was 99% for Sanger sequencing and 97-100% for the NGS experiments. Mean false-positive rates were 3.7E-6 for Sanger sequencing, 2.5E-6 for SureSelect-NGS and 5.2E-6 for Nextera-NGS. Our findings suggest a high overall concordance between Sanger sequencing and NGS performances. Both methods demonstrated false-positive and false-negative calls. High clinical suspicion for a specific diagnosis should, therefore, override negative results of either Sanger sequencing or NGS.
Keywords: Comparison; Next generation; Performance; Sanger; Sequencing.
References
-
- Ankala A, Da Silva C, Gualandi F et al (2015) A comprehensive genomic approach for neuromuscular diseases gives a high diagnostic yield. Ann Neurol 77:206–214. https://doi.org/10.1002/ana.24303 - DOI - PubMed
-
- Asan XuY, Jiang H et al (2011) Comprehensive comparison of three commercial human whole-exome capture platforms. Genome Biol. https://doi.org/10.1186/gb-2011-12-9-r95 - DOI - PubMed - PMC
-
- Ashley EA (2016) Towards precision medicine. Nat Rev Genet 17:507–522. https://doi.org/10.1038/nrg.2016.86 - DOI - PubMed
-
- Baudhuin LM, Lagerstedt SA, Klee EW et al (2015) Confirming variants in next-generation sequencing panel testing by sanger sequencing. J Mol Diagnostics 17:456–461. https://doi.org/10.1016/j.jmoldx.2015.03.004 - DOI
-
- Brunner AL, Johnson DS, Si WK et al (2009) Distinct DNA methylation patterns characterize differentiated human embryonic stem cells and developing human fetal liver. Genome Res 19:1044–1056. https://doi.org/10.1101/gr.088773.108 - DOI - PubMed - PMC
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
