Evidence map›Paper›PMID 33310858›Full record

ArticleScience advances2020

Rapid and ongoing evolution of repetitive sequence structures in human centromeres.

Yuta Suzuki, Eugene W Myers, Shinichi Morishita

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.6field-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

25 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. ADAR1 is an editor of DNA replication forks.Nature structural & molecular biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Centromere Landscapes Resolved from Hundreds of Human Genomes.Genomics, proteomics & bioinformatics · 2024
    Article
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  17. 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

3 authors at 2 institutions in 2 countries.

Yuta SuzukiThe University of Tokyo, Graduate School of Frontier Sciences, Department of Computational Biology and Medical Sciences, Kashiwa, Chiba 277-8568, Japan. yuta_suzuki@edu.k.u-tokyo.ac.jp moris@edu.k.u-tokyo.ac.jp.ORCID 0000-0002-8528-9418
Eugene W MyersMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.ORCID 0000-0002-6580-7839
Shinichi MorishitaThe University of Tokyo, Graduate School of Frontier Sciences, Department of Computational Biology and Medical Sciences, Kashiwa, Chiba 277-8568, Japan. yuta_suzuki@edu.k.u-tokyo.ac.jp moris@edu.k.u-tokyo.ac.jp.ORCID 0000-0002-6201-8885
The University of Tokyo · JPMax Planck Institute of Molecular Cell Biology and Genetics · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our understanding of centromere sequence variation across human populations is limited by its extremely long nested repeat structures called higher-order repeats that are challenging to sequence. Here, we analyzed chromosomes 11, 17, and X using long-read sequencing data for 36 individuals from diverse populations including a Han Chinese trio and 21 Japanese. We revealed substantial structural diversity with many previously unidentified variant higher-order repeats specific to individuals characterizing rapid, haplotype-specific evolution of human centromeric arrays, while frequent single-nucleotide variants are largely conserved. We found a characteristic pattern shared among prevalent variants in human and chimpanzee. Our findings pave the way for studying sequence evolution in human and primate centromeres.

Indexed as

CentromereDNA, SatelliteAnimalsEvolution, MolecularHumansLongitudinal StudiesPan troglodytesRepetitive Sequences, Nucleic AcidDNA, Satellite

Identifiers

PMID33310858
PMCPMC7732198
OpenAlexW3111336583

What OpenQuestion holds

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LicenceCC BY-NC
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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.