Evidence map›Paper›PMID 41998753›Full record

ArticleGenome biology2026

A recurrent sequencing artifact on Illumina sequencers with two-color fluorescent dye chemistry and its impact on somatic variant detection.

Beverly J Fu, Vinayak V Viswanadham, Dominika Maziec, Hu Jin, Peter J Park

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Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Beverly J Fu *Harvard College, Cambridge, MA, 02138, USA.
Vinayak V Viswanadham *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
Dominika Maziec *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
Hu JinDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
Peter J ParkDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA. peter_park@hms.harvard.edu.

Funding

Development and Application of Computational Methods for Single Cell DNA Sequencing DataR01HG012573 · NHGRI · HARVARD MEDICAL SCHOOL · PI PARK, PETER J · 2022 to 2025
$2.7M
Mutational signature analysis: methods and applications to the clinicR01CA269805 · NCI · HARVARD MEDICAL SCHOOL · PI Peter J Park · 2022 to 2026
$2.2M
Characterizing mechanisms and consequences of intergenic transcription in human cancersF31CA264958 · NCI · HARVARD MEDICAL SCHOOL · PI VISWANADHAM, VINAYAK VENKATASESHA · 2021 to 2022
$60k
NCI NIH HHS F31CA264958NCI NIH HHS R01CA269805NHGRI NIH HHS R01HG012573
6 · The paper itself

Abstract

backgroundThe sequencing-by-synthesis technology by Illumina, Inc. enables efficient and scalable readouts of mutations from genomic data. To enhance sequencing speed and efficiency, Illumina has shifted from the four-color base calling chemistry of the HiSeq series to a two-color fluorescent dye chemistry in the NovaSeq series. Benchmarking sequencing artifacts due to biases in the newer chemistry is important to evaluate the quality of identified mutations.

resultsWe re-analyze a series of whole-genome sequencing experiments in which the same samples were sequenced on the NovaSeq 6000 (two-color) and HiSeq X10 (four-color) platforms by independent groups. In several samples, we observe a higher frequency of T-to-G and A-to-C putative substitutions ("T > G") at the read level for NovaSeq 6000 versus HiSeq X10. As the per-base error rate is still low, the artifactual substitutions have a negligible effect in identifying germline or high variant allele frequency (VAF) somatic mutations. However, such errors can confound the detection of low-VAF somatic variants in high-depth sequencing samples, particularly in studies of mosaic mutations in normal tissues, where variants have low read support and are called without a matched normal. The artifactual T > G variant calls disproportionately occur at NT[TG] trinucleotides, and we leverage this observation to bioinformatically reduce the T > G excess in somatic mutation callsets.

conclusionsWe identified a recurrent artifact specific to the Illumina two-color chemistry platform on the NovaSeq 6000 with the potential to contaminate low-VAF somatic mutation calls. Thus, an unexpected enrichment of T > G mutations in mosaicism studies warrants caution.

Indexed as

ArtifactsFluorescent DyesHigh-Throughput Nucleotide SequencingSequence Analysis, DNAWhole Genome SequencingGene FrequencyHumansMutationFluorescent DyesIllumina NovaSeq 6000Mosaic mutationsNext-generation sequencingSequencing artifactsSomatic mutations

Identifiers

PMID41998753
PMCPMC13218037

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.