Evidence map›Paper›PMID 33910608›Full record

ArticleGenome medicine2021

Whole-genome sequencing with long reads reveals complex structure and origin of structural variation in human genetic variations and somatic mutations in cancer.

Akihiro Fujimoto, Jing Hao Wong, Yukiko Yoshii, Shintaro Akiyama, Azusa Tanaka, Hitomi Yagi, Daichi Shigemizu, Hidewaki Nakagawa, Masashi Mizokami, Mihoko Shimada

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
6.6field-weighted citation impact, top 2% 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

55 citing papers in PubMed, 95 citations in OpenAlex.

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  7. Population-scale Long-read Sequencing in themedRxiv : the preprint server for health sciences · 2025
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  19. The Cancer Genome in the Long Reads Era.Methods in molecular biology (Clifton, N.J.) · 2025
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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

10 authors at 4 institutions in 1 country.

Akihiro FujimotoDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. afujimoto@m.u-tokyo.ac.jp.ORCID 0000-0002-0075-0800
Jing Hao WongDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yukiko YoshiiDepartment of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Shintaro AkiyamaMedical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan.
Azusa TanakaDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hitomi YagiDepartment of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Daichi ShigemizuMedical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan.
Hidewaki NakagawaMedical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan.
Masashi MizokamiGenome Medical Sciences Project, National Center for Global Health and Medicine, Tokyo, Japan.
Mihoko ShimadaDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kyoto University · JPRIKEN Center for Integrative Medical Sciences · JPNational Center for Global Health and Medicine · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentification of germline variation and somatic mutations is a major issue in human genetics. However, due to the limitations of DNA sequencing technologies and computational algorithms, our understanding of genetic variation and somatic mutations is far from complete.

methodsIn the present study, we performed whole-genome sequencing using long-read sequencing technology (Oxford Nanopore) for 11 Japanese liver cancers and matched normal samples which were previously sequenced for the International Cancer Genome Consortium (ICGC). We constructed an analysis pipeline for the long-read data and identified germline and somatic structural variations (SVs).

resultsIn polymorphic germline SVs, our analysis identified 8004 insertions, 6389 deletions, 27 inversions, and 32 intra-chromosomal translocations. By comparing to the chimpanzee genome, we correctly inferred events that caused insertions and deletions and found that most insertions were caused by transposons and Alu is the most predominant source, while other types of insertions, such as tandem duplications and processed pseudogenes, are rare. We inferred mechanisms of deletion generations and found that most non-allelic homolog recombination (NAHR) events were caused by recombination errors in SINEs. Analysis of somatic mutations in liver cancers showed that long reads could detect larger numbers of SVs than a previous short-read study and that mechanisms of cancer SV generation were different from that of germline deletions.

conclusionsOur analysis provides a comprehensive catalog of polymorphic and somatic SVs, as well as their possible causes. Our software are available at https://github.com/afujimoto/CAMPHOR and https://github.com/afujimoto/CAMPHORsomatic .

Indexed as

Genome, HumanGenomic Structural VariationWhole Genome SequencingBase SequenceDNA MethylationGerm-Line MutationHumansINDEL MutationMutationNeoplasmsPromoter Regions, GeneticTelomeraseVirusesTelomeraseTERT protein, humanGermline SVsLong readsOrigin of structural variations (SVs)Somatic SVs

Identifiers

PMID33910608
PMCPMC8082928
OpenAlexW3158106703

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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.