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Published on: November 7, 2025
Reproducibility of Variant Calls in Replicate Next Generation Sequencing Experiments
Yuan Qi1, Xiuping Liu2, Chang-Gong Liu2
1Departments of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
Next-generation sequencing (NGS) can produce significant errors in variant calling. This study found that single nucleotide variant (SNV) reproducibility in replicate sequencing experiments was only 54.3-75.5%, highlighting potential high error rates.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Next-generation sequencing (NGS) is a powerful tool for detecting nucleotide alterations.
- However, sequencing errors can lead to false positive variant calls, impacting biological interpretation.
- Assessing the reproducibility of variant calls is crucial for reliable genomic analysis.
Purpose of the Study:
- To evaluate the reproducibility of nucleotide variant calls in replicate sequencing experiments.
- To determine the concordance rates of all variant calls and single nucleotide variants (SNVs).
- To identify factors influencing the reproducibility of SNV calls.
Main Methods:
- Targeted sequencing of the human kinome (~3.2 Mb) using the SOLiD v4 platform.
- Sequencing of 17 breast cancer samples in duplicate or triplicate.
- Analysis of concordance rates for all calls and SNVs, correlating with sequencing metrics.
Main Results:
- Overall concordance rates exceeded 99.99%, but SNV concordance ranged from 54.3% to 75.5%.
- Concordance increased with higher coverage, variant allele count (VAC), variant allele frequency (VAF), and quality metrics.
- Variant allele count (VAC) and variant allele frequency (VAF) were the most significant determinants of concordance.
Conclusions:
- Even with stringent quality control, SNV call reproducibility was around 80%, suggesting 20-40% error rates in single experiments.
- The study highlights substantial variability and potential for erroneous variant calling in NGS.
- Sequence data are available in the European Genome-phenome Archive (EGA) under accession EGAS00001000826.
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