Evidence map›Paper›PMID 26752634›Full record

ArticlePloS one2016

Benefits and Challenges with Applying Unique Molecular Identifiers in Next Generation Sequencing to Detect Low Frequency Mutations.

Ruqin Kou, Ham Lam, Hairong Duan, Li Ye, Narisra Jongkam, Weizhi Chen, Shifang Zhang, Shihong Li

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

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  13. From DNA to Big Data: NGS Technologies and Their Applications.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ruqin KouDepartment of Development, GENEWIZ LLC, 115 Corporate Blvd., South Plainfield, NJ, 07080, United States of America.
Ham LamDepartment of Development, GENEWIZ LLC, 115 Corporate Blvd., South Plainfield, NJ, 07080, United States of America.
Hairong DuanDepartment of Bioinformatics, GENEWIZ CN, 218 Xinghu Street, Suzhou, Jiangsu, 215123, China.
Li YeDepartment of Bioinformatics, GENEWIZ CN, 218 Xinghu Street, Suzhou, Jiangsu, 215123, China.
Narisra JongkamDepartment of Development, GENEWIZ LLC, 115 Corporate Blvd., South Plainfield, NJ, 07080, United States of America.
Weizhi ChenDepartment of Bioinformatics, GENEWIZ CN, 218 Xinghu Street, Suzhou, Jiangsu, 215123, China.
Shifang ZhangDepartment of Development, GENEWIZ LLC, 115 Corporate Blvd., South Plainfield, NJ, 07080, United States of America.
Shihong LiDepartment of Development, GENEWIZ LLC, 115 Corporate Blvd., South Plainfield, NJ, 07080, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indexing individual template molecules with a unique identifier (UID) before PCR and deep sequencing is promising for detecting low frequency mutations, as true mutations could be distinguished from PCR errors or sequencing errors based on consensus among reads sharing same index. In an effort to develop a robust assay to detect from urine low-abundant bladder cancer cells carrying well-documented mutations, we have tested the idea first on a set of mock templates, with wild type and known mutants mixed at defined ratios. We have measured the combined error rate for PCR and Illumina sequencing at each nucleotide position of three exons, and demonstrated the power of a UID in distinguishing and correcting errors. In addition, we have demonstrated that PCR sampling bias, rather than PCR errors, challenges the UID-deep sequencing method in faithfully detecting low frequency mutation.

Indexed as

Mutation RateBase SequenceChromosomes, Human, Pair 4Cluster AnalysisDNA-Directed DNA PolymeraseDNA Mutational AnalysisExonsHigh-Throughput Nucleotide SequencingHumansMolecular Sequence DataNucleotidesPolymerase Chain ReactionReceptor, Fibroblast Growth Factor, Type 3Reproducibility of ResultsSequence DeletionTemplates, GeneticDNA-Directed DNA PolymeraseFGFR3 protein, humanNucleotidesReceptor, Fibroblast Growth Factor, Type 3

Identifiers

PMID26752634
PMCPMC4709065

What OpenQuestion holds

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Registered trials

None linked

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.