Evidence map›Paper›PMID 29618752›Full record

ArticleScientific reports2018

IMSindel: An accurate intermediate-size indel detection tool incorporating de novo assembly and gapped global-local alignment with split read analysis.

Daichi Shigemizu, Fuyuki Miya, Shintaro Akiyama, Shujiro Okuda, Keith A Boroevich, Akihiro Fujimoto, Hidewaki Nakagawa, Kouichi Ozaki, Shumpei Niida, Yonehiro Kanemura and 8 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

14 citing papers in PubMed, 28 citations in OpenAlex.

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  9. Proceedings of the National Academy of Sciences of the United States of America · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 12 institutions in 2 countries.

Daichi ShigemizuDepartment for Medical Genome Sciences, Medical Genome Center, National Center for Geriatrics and Gerontology, Aichi, Japan. daichi@ncgg.go.jp.ORCID 0000-0002-4412-0552
Fuyuki MiyaDepartment of Medical Science Mathematics, Medical Research Institute, Tokyo Medical and Dental University (TMDU), Tokyo, Japan.
Shintaro AkiyamaDepartment for Medical Genome Sciences, Medical Genome Center, National Center for Geriatrics and Gerontology, Aichi, Japan.
Shujiro OkudaNiigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.ORCID 0000-0002-7704-8104
Keith A BoroevichRIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Akihiro FujimotoDepartment of Drug Discovery Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hidewaki NakagawaRIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Kouichi OzakiDepartment for Medical Genome Sciences, Medical Genome Center, National Center for Geriatrics and Gerontology, Aichi, Japan.
Shumpei NiidaDepartment for Medical Genome Sciences, Medical Genome Center, National Center for Geriatrics and Gerontology, Aichi, Japan.
Yonehiro KanemuraDivision of Regenerative Medicine, Institute for Clinical Research, Osaka National Hospital, National Hospital Organization, Osaka, Japan.
Nobuhiko OkamotoDepartment of Medical Genetics, Osaka Medical Center and Research Institute for Maternal and Child Health, Osaka, Japan.
Shinji SaitohDepartment of Pediatrics and Neonatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.ORCID 0000-0001-6911-3351
Mitsuhiro KatoDepartment of Pediatrics, Showa University School of Medicine, Tokyo, Japan.
Mami YamasakiDepartment of Pediatric Neurosurgery, Takatsuki General Hospital, Osaka, Japan.
Tatsuo MatsunagaDivision of Hearing and Balance Research, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Tokyo, Japan.
Hideki MutaiDivision of Hearing and Balance Research, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Tokyo, Japan.
Kenjiro KosakiCenter for Medical Genetics, Keio University School of Medicine, Tokyo, Japan.
Tatsuhiko TsunodaDepartment of Medical Science Mathematics, Medical Research Institute, Tokyo Medical and Dental University (TMDU), Tokyo, Japan. tsunoda.mesm@mri.tmd.ac.jp.ORCID 0000-0002-5439-7918
RIKEN Center for Integrative Medical Sciences · JPTokyo Medical and Dental University · JPNational Center for Geriatrics and Gerontology · JPTokyo Medical Center · JPKeio University · JPKyoto University · JPNagoya City University · JPNiigata University · JPOsaka International Cancer Institute · JPOsaka National Hospital · JPShowa University · JPTakatsuki General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insertions and deletions (indels) have been implicated in dozens of human diseases through the radical alteration of gene function by short frameshift indels as well as long indels. However, the accurate detection of these indels from next-generation sequencing data is still challenging. This is particularly true for intermediate-size indels (≥50 bp), due to the short DNA sequencing reads. Here, we developed a new method that predicts intermediate-size indels using BWA soft-clipped fragments (unmatched fragments in partially mapped reads) and unmapped reads. We report the performance comparison of our method, GATK, PINDEL and ScanIndel, using whole exome sequencing data from the same samples. False positive and false negative counts were determined through Sanger sequencing of all predicted indels across these four methods. The harmonic mean of the recall and precision, F-measure, was used to measure the performance of each method. Our method achieved the highest F-measure of 0.84 in one sample, compared to 0.56 for GATK, 0.52 for PINDEL and 0.46 for ScanIndel. Similar results were obtained in additional samples, demonstrating that our method was superior to the other methods for detecting intermediate-size indels. We believe that this methodology will contribute to the discovery of intermediate-size indels associated with human disease.

Indexed as

SoftwareCell Line, TumorComputational BiologyDNAExome SequencingGenome, HumanHumansINDEL MutationDNA

Identifiers

PMID29618752
PMCPMC5884821
OpenAlexW2796126220

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.