Evidence map›Paper›PMID 40884648›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2025

Application and Prospects of Long-Read Sequencers for Preimplantation Genetic Testing for Structural Rearrangements.

Yui Shichiri, Tasuku Mariya, Yuri Murase, Hidehito Inagaki, Hiroki Kurahashi

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In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yui Shichiri *Division of Molecular Genetics, Center for Medical Science, Fujita Health University, Aichi, Japan.
Tasuku Mariya *Division of Molecular Genetics, Center for Medical Science, Fujita Health University, Aichi, Japan.
Yuri MuraseDivision of Molecular Genetics, Center for Medical Science, Fujita Health University, Aichi, Japan.
Hidehito InagakiDivision of Molecular Genetics, Center for Medical Science, Fujita Health University, Aichi, Japan.
Hiroki KurahashiDivision of Molecular Genetics, Center for Medical Science, Fujita Health University, Aichi, Japan. kura@fujita-hu.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-read sequencers are known for their effectiveness in detecting genomic structural variations (SV) and are becoming a standard approach for comprehensive genetic analysis. In preimplantation genetic testing (PGT) for SV carriers, information on breakpoint junctions is required to determine the carrier status in embryo selection. Long-read sequencers are employed for SV cases that are difficult to analyze with conventional cytogenetical methods and the detailed SV junction information they provide yields valuable insights. They can also analyze the single-nucleotide variations (SNVs) that surround SVs and thus provide further information on the carrier status for embryo selection. Despite these advantages of long-read sequencers however, they are prone to inaccuracy and have high testing costs. This review summarizes the advanced applications of long-read sequencers currently in preclinical workups and their integration into PGT. It also presents in-house clinical cases that highlight long-read sequencing in practice and discusses the prospects for this field.

Indexed as

Gene RearrangementGenetic TestingGenomic Structural VariationHigh-Throughput Nucleotide SequencingPreimplantation DiagnosisSequence Analysis, DNAFemaleHumansPolymorphism, Single NucleotidePregnancyLong-read sequencerPreimplantation genetic testingStructural variant

Identifiers

PMID40884648

What OpenQuestion holds

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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.