Evidence map›Paper›PMID 38507394›Full record

ArticlePloS one2024

CRISPR-Cas9-guided amplification-free genomic diagnosis for familial hypercholesterolemia using nanopore sequencing.

Sijia Xu, Hiroki Shiomi, Yugo Yamashita, Satoshi Koyama, Takahiro Horie, Osamu Baba, Masahiro Kimura, Yasuhiro Nakashima, Naoya Sowa, Koji Hasegawa and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Transgene Mapping in Animals: What to Choose?International journal of molecular sciences · 2025
    Review
  3. Review
  4. Reduced circulating CD63Cardiovascular diabetology · 2024
    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

14 authors at 3 institutions in 1 country.

Sijia XuDepartment of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hiroki ShiomiDepartment of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yugo YamashitaDepartment of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Satoshi KoyamaDepartment of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Takahiro HorieDepartment of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-6766-750X
Osamu BabaDepartment of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Masahiro KimuraDepartment of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yasuhiro NakashimaDepartment of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Naoya SowaDivision of Translational Research, National Hospital Organization, Kyoto Medical Center, Kyoto, Japan.
Koji HasegawaDivision of Translational Research, National Hospital Organization, Kyoto Medical Center, Kyoto, Japan.ORCID 0000-0001-7618-4043
Ayako SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier, Tokyo University, Tokyo, Japan.
Yutaka SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier, Tokyo University, Tokyo, Japan.
Takeshi KimuraDepartment of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-5256-8322
Koh OnoDepartment of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-4163-980X
Kyoto University · JPKyoto Medical Center · JPTokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Familial hypercholesterolemia is an inherited disorder that remains underdiagnosed. Conventional genetic testing methods such as next-generation sequencing (NGS) or target PCR are based on the amplification process. Due to the efficiency limits of polymerase and ligase enzymes, these methods usually target short regions and do not detect large mutations straightforwardly. This study combined the long-read nanopore sequencing and CRISPR-Cas9 system to sequence the target DNA molecules without amplification. We originally designed and optimized the CRISPR-RNA panel to target the low-density lipoprotein receptor gene (LDLR) and proprotein convertase subtilisin/kexin type 9 gene (PCSK9) from human genomic DNA followed by nanopore sequencing. The average coverages for LDLR and PCSK9 were 106× and 420×, versus 1.2× for the background genome. Among them, continuous reads were 52x and 307x, respectively, and spanned the entire length of LDLR and PCSK9. We identified pathogenic mutations in both coding and splicing donor regions in LDLR. We also detected an 11,029 bp large deletion in another case. Furthermore, using continuous long reads generated from the benchmark experiment, we demonstrated how a false-positive 670 bp deletion caused by PCR amplification errors was easily eliminated.

Indexed as

Hyperlipoproteinemia Type IINanopore SequencingCRISPR-Cas SystemsDNAGenomicsHumansMutationProprotein Convertase 9Receptors, LDLDNAPCSK9 protein, humanProprotein Convertase 9Receptors, LDL

Identifiers

PMID38507394
PMCPMC10954175
OpenAlexW4393026043

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.