Evidence map›Paper›PMID 28685054›Full record

ArticleBiomedical reports2017

Single nucleotide variant sequencing errors in whole exome sequencing using the Ion Proton System.

Shiro Fujita, Katsuhiro Masago, Chiyuki Okuda, Akito Hata, Reiko Kaji, Nobuyuki Katakami, Yukio Hirata

Abstract read
In one paragraph

Article in Biomedical reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. High-Resolution Chloroplast SNV Profiling of 409 Grapevine (International journal of molecular sciences · 2026
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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

7 authors.

Shiro FujitaDivision of Integrated Oncology, Institute of Biomedical Research and Innovation, Chuo-ku, Kobe 650-0047, Japan.
Katsuhiro MasagoDivision of Integrated Oncology, Institute of Biomedical Research and Innovation, Chuo-ku, Kobe 650-0047, Japan.
Chiyuki OkudaDivision of Integrated Oncology, Institute of Biomedical Research and Innovation, Chuo-ku, Kobe 650-0047, Japan.
Akito HataDivision of Integrated Oncology, Institute of Biomedical Research and Innovation, Chuo-ku, Kobe 650-0047, Japan.
Reiko KajiDivision of Integrated Oncology, Institute of Biomedical Research and Innovation, Chuo-ku, Kobe 650-0047, Japan.
Nobuyuki KatakamiDivision of Integrated Oncology, Institute of Biomedical Research and Innovation, Chuo-ku, Kobe 650-0047, Japan.
Yukio HirataDivision of Integrated Oncology, Institute of Biomedical Research and Innovation, Chuo-ku, Kobe 650-0047, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Errors in sequencing are a major obstacle in the interpretation of next-generation sequencing (NGS) results. In the present study, sequencing errors identified from analysis of single nucleotide variants (SNVs) identified during exome sequencing of human germline DNA were studied using the Thermo Fisher Ion Proton System. Two consanguineous cases were selected for sequencing using the AmpliSeq Exome capture kit, and SNVs found in both cases were validated using Sanger sequencing. A total of 98 SNVs detected by NGS were randomly selected for further analysis. Nine of the analyzed SNVs were shown to be false positives when confirmed by Sanger sequencing. All but one SNV were considered to be homopolymer regions, mainly through the insertion or deletion of nucleotides. The remaining error was considered to be related to the primer. The present results revealed that the majority of the SNV sequencing errors originated from homopolymer insertion/deletion errors, which are commonly observed when using the Ion Torrent system.

Indexed as

exome sequencingIon ProtonIon Torrentnext-generation sequencingsequencing errorsingle nucleotide variants

Identifiers

PMID28685054
PMCPMC5492560

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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.