Evidence map›Paper›PMID 40830527›Full record

ArticleGenome biology2025

TRsv: simultaneous detection of tandem repeat variations, structural variations, and short indels using long read sequencing data.

Shunichi Kosugi, Chikashi Terao

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

2 authors.

Shunichi KosugiCenter for Genome Informatics, Joint Support-Center for Data Science Research, Research Organization of Information and Systems Center for Genome Informatics, 1111, Yata, Mishima, Shizuoka, 411-8540, Japan. shunichi.kosugi@nig.ac.jp.ORCID http://orcid.org/0000-0002-5882-9255
Chikashi TeraoClinical Research Center, Shizuoka General Hospital, Shizuoka, Japan.

Funding

Japan Society for the Promotion of Science JP17K07264Japan Society for the Promotion of Science JP21K06130
6 · The paper itself

Abstract

Tandem repeat copy number variations (TR-CNVs), structural variations (SVs), and short indels have been responsible for many diseases and traits, but no tools exist to distinguish and detect these variants. In this study, we developed a computational tool, TRsv, to distinguish and detect TR-CNVs, SVs, and short indels using long reads. In evaluation with simulated and real datasets, TRsv outperformed existing tools for detection of TR-CNVs and indels and performed equally well for detection of SVs. We demonstrated genome-wide detection of TR-CNVs, including variants associated with gene expression, disease, and quantitative traits, using 160 long-read whole genome sequencing data and TRsv.

Indexed as

DNA Copy Number VariationsGenomic Structural VariationINDEL MutationSoftwareTandem Repeat SequencesComputational BiologyHumansWhole Genome SequencingIndelLong readSTRStructural variationSVTandem repeatTandem repeat expansionTRVNTRWGS

Identifiers

PMID40830527
PMCPMC12366377

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.