Evidence map›Paper›PMID 34239136›Full record

ArticleNature medicine2021

Combined landscape of single-nucleotide variants and copy number alterations in clonal hematopoiesis.

Ryunosuke Saiki, Yukihide Momozawa, Yasuhito Nannya, Masahiro M Nakagawa, Yotaro Ochi, Tetsuichi Yoshizato, Chikashi Terao, Yutaka Kuroda, Yuichi Shiraishi, Kenichi Chiba and 12 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 1 pooled it
16.2field-weighted citation impact, top 1% 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

89 citing papers in PubMed, 1 synthesis or guideline pooled it, 140 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

29 more citing papers are in PubMed but not listed here.

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

22 authors at 4 institutions in 2 countries.

Ryunosuke SaikiDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0001-6984-7187
Yukihide MomozawaLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Yasuhito NannyaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Masahiro M NakagawaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yotaro OchiDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0001-8472-6164
Tetsuichi YoshizatoDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0003-4283-2983
Chikashi TeraoLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0002-6452-4095
Yutaka KurodaDepartment of Orthopaedic Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yuichi ShiraishiDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Kenichi ChibaDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Hiroko TanakaDepartment of Integrated Data Science, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan.ORCID http://orcid.org/0000-0001-9634-8922
Atsushi NiidaLaboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Seiya ImotoDivision of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Koichi MatsudaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Takayuki MorisakiDivision of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Yoshinori MurakamiDivision of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Yoichiro KamataniLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Shuichi MatsudaDepartment of Orthopaedic Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Michiaki KuboRIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Satoru MiyanoDepartment of Integrated Data Science, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan.
Hideki MakishimaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0001-5983-8578
Seishi OgawaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan. sogawa-tky@umin.ac.jp.ORCID http://orcid.org/0000-0002-7778-5374
Kyoto University · JPThe University of Tokyo · JPRIKEN Center for Integrative Medical Sciences · JPTokyo Medical and Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clonal hematopoiesis (CH) in apparently healthy individuals is implicated in the development of hematological malignancies (HM) and cardiovascular diseases. Previous studies of CH analyzed either single-nucleotide variants and indels (SNVs/indels) or copy number alterations (CNAs), but not both. Here, using a combination of targeted sequencing of 23 CH-related genes and array-based CNA detection of blood-derived DNA, we have delineated the landscape of CH-related SNVs/indels and CNAs in 11,234 individuals without HM from the BioBank Japan cohort, including 672 individuals with subsequent HM development, and studied the effects of these somatic alterations on mortality from HM and cardiovascular disease, as well as on hematological and cardiovascular phenotypes. The total number of both types of CH-related lesions and their clone size positively correlated with blood count abnormalities and mortality from HM. CH-related SNVs/indels and CNAs exhibited statistically significant co-occurrence in the same individuals. In particular, co-occurrence of SNVs/indels and CNAs affecting DNMT3A, TET2, JAK2 and TP53 resulted in biallelic alterations of these genes and was associated with higher HM mortality. Co-occurrence of SNVs/indels and CNAs also modulated risks for cardiovascular mortality. These findings highlight the importance of detecting both SNVs/indels and CNAs in the evaluation of CH.

Indexed as

AgedBiomarkers, TumorCardiovascular DiseasesClonal HematopoiesisDioxygenasesDNA-Binding ProteinsDNA Copy Number VariationsDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3AFemaleGenetic MarkersHematologic NeoplasmsHematopoietic Stem CellsHigh-Throughput Nucleotide SequencingHumansINDEL MutationBiomarkers, TumorDioxygenasesDNA-Binding ProteinsDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ADNMT3A protein, humanGenetic MarkersJAK2 protein, humanJanus Kinase 2Proto-Oncogene ProteinsTET2 protein, humanTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID34239136
OpenAlexW3179808235

What OpenQuestion holds

Textmetadata
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.