Evidence map›Paper›PMID 31123081›Full record

ArticleGenome research2019

Long-read sequencing reveals intra-species tolerance of substantial structural variations and new subtelomere formation in

Chuna Kim, Jun Kim, Sunghyun Kim, Daniel E Cook, Kathryn S Evans, Erik C Andersen, Junho Lee

Abstract read
In one paragraph

Article in Genome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
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

51 citing papers in PubMed.

  1. Article
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  6. Natural variation suggests candidate genes underlying Caenorhabditis elegans susceptibility to diverse toxicants.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
  7. Article
  8. Natural variation suggests candidate genes underlyingbioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Mechanisms and genomic implications of break-induced replication.Nature structural & molecular biology · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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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

7 authors.

Chuna Kim *Institute of Molecular Biology and Genetics, Seoul National University, Seoul, Korea 08826.
Jun Kim *Department of Biological Sciences, Seoul National University, Seoul, Korea 08826.
Sunghyun Kim *Institute of Molecular Biology and Genetics, Seoul National University, Seoul, Korea 08826.
Daniel E CookDepartment of Molecular Biosciences, Northwestern University, Evanston, Illinois 60208, USA.
Kathryn S EvansDepartment of Molecular Biosciences, Northwestern University, Evanston, Illinois 60208, USA.
Erik C AndersenDepartment of Molecular Biosciences, Northwestern University, Evanston, Illinois 60208, USA.
Junho LeeInstitute of Molecular Biology and Genetics, Seoul National University, Seoul, Korea 08826.

Funding

Determination of the distribution of fitness effects of mutations in C. elegansR01GM107227 · NIGMS · UNIVERSITY OF FLORIDA · PI BAER, CHARLES F · 2014 to 2017
$1.1M
NIGMS NIH HHS R01 GM107227
6 · The paper itself

Abstract

Long-read sequencing technologies have contributed greatly to comparative genomics among species and can also be applied to study genomics within a species. In this study, to determine how substantial genomic changes are generated and tolerated within a species, we sequenced a

Indexed as

Genetic VariationAdaptation, BiologicalAnimalsCaenorhabditis elegansChromosome StructuresComputational BiologyGenome, HelminthGenomicsHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationSequence Analysis, DNASpecies SpecificityTelomere

Identifiers

PMID31123081
PMCPMC6581047

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.