Evidence map›Paper›PMID 37828153›Full record

ArticleNature methods2023

Comprehensive benchmarking and guidelines of mosaic variant calling strategies.

Yoo-Jin Ha, Seungseok Kang, Jisoo Kim, Junhan Kim, Se-Young Jo, Sangwoo Kim

Open access · hybridAbstract read
In one paragraph

Article in Nature methods, 2023. 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
3.1field-weighted citation impact, top 8% 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, 20 citations in OpenAlex.

  1. Review
  2. Haematologica · 2026
    Article
  3. Article
  4. Article
  5. Disease insights from brain somatic mosaicism.Experimental & molecular medicine · 2026
    Review
  6. Review
  7. Scalable and comprehensive mosaic variant calling using DRAGEN.medRxiv : the preprint server for health sciences · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Identifying genetic errors of immunity due to mosaicism.The Journal of experimental medicine · 2025
    Review
  18. Article
  19. Article
  20. Article
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

6 authors at 2 institutions in 1 country.

Yoo-Jin HaTranslational Genome Informatics Laboratory, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Seungseok KangTranslational Genome Informatics Laboratory, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-3155-2401
Jisoo KimTranslational Genome Informatics Laboratory, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-3185-7117
Junhan KimTranslational Genome Informatics Laboratory, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Se-Young JoTranslational Genome Informatics Laboratory, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-0182-439X
Sangwoo KimTranslational Genome Informatics Laboratory, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea. swkim@yuhs.ac.ORCID 0000-0001-5356-0827
Yonsei University · KRPohang University of Science and Technology · KR

Funding

Korea Health Industry Development Institute (KHIDI) HI19C1330Korea Health Industry Development Institute (KHIDI) HU21C0286Yonsei University | Yonsei University College of Medicine (YUCM) 6-2021-0007
6 · The paper itself

Abstract

Rapid advances in sequencing and analysis technologies have enabled the accurate detection of diverse forms of genomic variants represented as heterozygous, homozygous and mosaic mutations. However, the best practices for mosaic variant calling remain disorganized owing to the technical and conceptual difficulties faced in evaluation. Here we present our benchmark of 11 feasible mosaic variant detection approaches based on a systematically designed whole-exome-level reference standard that mimics mosaic samples, supported by 354,258 control positive mosaic single-nucleotide variants and insertion-deletion mutations and 33,111,725 control negatives. We identified not only the best practice for mosaic variant detection but also the condition-dependent strengths and weaknesses of the current methods. Furthermore, feature-level evaluation and their combinatorial usage across multiple algorithms direct the way for immediate to prolonged improvements in mosaic variant detection. Our results will guide researchers in selecting suitable calling algorithms and suggest future strategies for developers.

Indexed as

BenchmarkingHigh-Throughput Nucleotide SequencingAlgorithmsHumansMutationPolymorphism, Single NucleotideSoftware

Identifiers

PMID37828153
PMCPMC10703685
OpenAlexW4387579853

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.