Evidence map›Paper›PMID 32296131›Full record

ArticleJournal of human genetics2020

Long-read DNA sequencing fully characterized chromothripsis in a patient with Langer-Giedion syndrome and Cornelia de Lange syndrome-4.

Ming Lei, Desheng Liang, Yifeng Yang, Satomi Mitsuhashi, Kazutaka Katoh, Noriko Miyake, Martin C Frith, Lingqian Wu, Naomichi Matsumoto

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Journal of human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 34 citations in OpenAlex.

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  12. Biallelic structural variations withinLife science alliance · 2023
    Article
  13. Finding Rearrangements in Nanopore DNA Reads with LAST and dnarrange.Methods in molecular biology (Clifton, N.J.) · 2023
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  14. Long-read sequencing improves diagnostic rate in neuromuscular disorders.Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2023
    Review
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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

9 authors at 4 institutions in 2 countries.

Ming Lei *Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Desheng Liang *Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Yifeng Yang *Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Satomi MitsuhashiDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Kazutaka KatohResearch Institute for Microbial Diseases, Osaka University, Suita, Japan.
Noriko MiyakeDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Martin C FrithArtificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan.
Lingqian WuCenter for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China. wulingqian@sklmg.edu.cn.ORCID http://orcid.org/0000-0002-7070-5896
Naomichi MatsumotoDepartment of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan. naomat@yokohama-cu.ac.jp.
Central South University · CNYokohama City University · JPNational Institute of Advanced Industrial Science and Technology · JPThe Open University of Japan · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromothripsis is a type of chaotic complex genomic rearrangement caused by a single event of chromosomal shattering and repair processes. Chromothripsis is known to cause rare congenital diseases when it occurs in germline cells, however, current genome analysis technologies have difficulty in detecting and deciphering chromothripsis. It is possible that this type of complex rearrangement may be overlooked in rare-disease patients whose genetic diagnosis is unsolved. We applied long read nanopore sequencing and our recently developed analysis pipeline dnarrange to a patient who has a reciprocal chromosomal translocation t(8;18)(q22;q21) as a result of chromothripsis between the two chromosomes, and fully characterize the complex rearrangements at the translocation site. The patient genome was evidently shattered into 19 fragments, and rejoined into derivative chromosomes in a random order and orientation. The reconstructed patient genome indicates loss of five genomic regions, which all overlap with microarray-detected copy number losses. We found that two disease-related genes RAD21 and EXT1 were lost by chromothripsis. These two genes could fully explain the disease phenotype with facial dysmorphisms and bone abnormality, which is likely a contiguous gene syndrome, Cornelia de Lange syndrome type IV (CdLs-4) and atypical Langer-Giedion syndrome (LGS), also known as trichorhinophalangeal syndrome type II (TRPSII). This provides evidence that our approach based on long read sequencing can fully characterize chromothripsis in a patient's genome, which is important for understanding the phenotype of disease caused by complex genomic rearrangement.

Indexed as

ChromothripsisCell Cycle ProteinsChildChromosome DeletionDe Lange SyndromeDNA-Binding ProteinsExostosin 1GenomeHumansLanger-Giedion SyndromeMaleN-AcetylglucosaminyltransferasesNanopore SequencingPhenotypeSequence Analysis, DNATranslocation, GeneticCell Cycle ProteinsDNA-Binding ProteinsExostosin 1N-AcetylglucosaminyltransferasesRAD21 protein, human

Identifiers

PMID32296131
PMCPMC7324355
OpenAlexW3016961716

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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.