Evidence map›Paper›PMID 36593400›Full record

ArticleNature biotechnology2023

Control-independent mosaic single nucleotide variant detection with DeepMosaic.

Xiaoxu Yang, Xin Xu, Martin W Breuss, Danny Antaki, Laurel L Ball, Changuk Chung, Jiawei Shen, Chen Li, Renee D George, Yifan Wang and 8 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2023. 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
–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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Disease insights from brain somatic mosaicism.Experimental & molecular medicine · 2026
    Review
  4. Scalable and comprehensive mosaic variant calling using DRAGEN.medRxiv : the preprint server for health sciences · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Identifying genetic errors of immunity due to mosaicism.The Journal of experimental medicine · 2025
    Review
  9. Article
  10. Backtracking Cell Phylogenies in the Human Brain with Somatic Mosaic Variants.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Genetic variation across and within individuals.Nature reviews. Genetics · 2024
    Review
  15. Review
  16. [Sperm Mosaic Variants and Their Influence on the Offspring].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Review
  17. Article
  18. Genome-wide detection of somatic mosaicism at short tandem repeats.bioRxiv : the preprint server for biology · 2023
    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

18 authors.

Xiaoxu Yang *Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA. xiy010@health.ucsd.edu.ORCID http://orcid.org/0000-0003-0219-0023
Xin Xu *Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA.
Martin W BreussDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, USA.
Danny AntakiDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, USA.
Laurel L BallDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, USA.
Changuk ChungDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, USA.
Jiawei ShenDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, USA.
Chen LiDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-1790-6664
Renee D GeorgeDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, USA.
Yifan WangDepartment of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-8056-9755
Taejeong BaeDepartment of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Yuhe ChengDepartment of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA.
Alexej AbyzovDepartment of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-5405-6729
Liping WeiCenter for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China.
Ludmil B AlexandrovDepartment of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA.
Jonathan L SebatBeyster Center for Genomics of Psychiatric Diseases, University of California, San Diego, La Jolla, CA, USA.
NIMH Brain Somatic Mosaicism Network
Joseph G GleesonDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, USA. jogleeson@health.ucsd.edu.ORCID http://orcid.org/0000-0002-6713-8018

Funding

PREDOCTORAL TRAINING IN GENETICST32GM007544 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MORAN, JOHN V. · 1985 to 2022
$11.3M
Mosaicism in focal cortical dysplasias spectrum seen in neuropsychiatric diseaseU01MH108898 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GLEESON, JOSEPH G · 2015 to 2019
$5.1M
Detecting Mutational Signatures of Environmental Mutagens in Heathy Individuals for Personalized Cancer PreventionR01ES032547 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ALEXANDROV, LUDMIL B · 2021 to 2025
$3.4M
Molecular characterization of HemimegalencephalyR01NS083823 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GLEESON, JOSEPH G, MATHERN, GARY W. · 2013 to 2017
$3.1M
Origins of Brain Somatic Mosaicism in Developmental Brain DiseaseR01MH124890 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GLEESON, JOSEPH G · 2021 to 2025
$1.5M
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
NIEHS NIH HHS R01 ES032547NIGMS NIH HHS T32 GM007544NIH HHS S10 OD026929NIMH NIH HHS R01 MH124890NIMH NIH HHS U01 MH108898NINDS NIH HHS R01 NS083823
6 · The paper itself

Abstract

Mosaic variants (MVs) reflect mutagenic processes during embryonic development and environmental exposure, accumulate with aging and underlie diseases such as cancer and autism. The detection of noncancer MVs has been computationally challenging due to the sparse representation of nonclonally expanded MVs. Here we present DeepMosaic, combining an image-based visualization module for single nucleotide MVs and a convolutional neural network-based classification module for control-independent MV detection. DeepMosaic was trained on 180,000 simulated or experimentally assessed MVs, and was benchmarked on 619,740 simulated MVs and 530 independent biologically tested MVs from 16 genomes and 181 exomes. DeepMosaic achieved higher accuracy compared with existing methods on biological data, with a sensitivity of 0.78, specificity of 0.83 and positive predictive value of 0.96 on noncancer whole-genome sequencing data, as well as doubling the validation rate over previous best-practice methods on noncancer whole-exome sequencing data (0.43 versus 0.18). DeepMosaic represents an accurate MV classifier for noncancer samples that can be implemented as an alternative or complement to existing methods.

Indexed as

ExomeSoftwareExome SequencingHigh-Throughput Nucleotide SequencingNucleotidesPolymorphism, Single NucleotideWhole Genome SequencingNucleotides

Identifiers

PMID36593400
PMCPMC10314968

What OpenQuestion holds

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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.