Evidence map›Paper›PMID 38760338›Full record

ArticleNature communications2024

Mapping recurrent mosaic copy number variation in human neurons.

Chen Sun, Kunal Kathuria, Sarah B Emery, ByungJun Kim, Ian E Burbulis, Joo Heon Shin, Brain Somatic Mosaicism Network, Daniel R Weinberger, John V Moran, Jeffrey M Kidd and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Origins and timing of somatic variants in the brain.Current opinion in genetics & development · 2026
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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

12 authors.

Chen Sun *Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, 100 Washtenaw Avenue, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0003-0657-207X
Kunal Kathuria *Lieber Institute for Brain Development, 855 North Wolfe Street, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0003-1898-8769
Sarah B EmeryDepartment of Human Genetics, University of Michigan Medical School, 1241 East Catherine Street, Ann Arbor, MI, 48109, USA.
ByungJun KimDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, 100 Washtenaw Avenue, Ann Arbor, MI, 48109, USA.
Ian E BurbulisDepartment of Biochemistry and Molecular Genetics, University of Virginia, School of Medicine, Charlottesville, VA, 22902, USA.ORCID http://orcid.org/0000-0003-0361-0683
Joo Heon ShinLieber Institute for Brain Development, 855 North Wolfe Street, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0002-5563-8605
Brain Somatic Mosaicism Network
Daniel R WeinbergerLieber Institute for Brain Development, 855 North Wolfe Street, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0003-2409-2969
John V MoranDepartment of Human Genetics, University of Michigan Medical School, 1241 East Catherine Street, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-5308-4864
Jeffrey M KiddDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, 100 Washtenaw Avenue, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-9631-1465
Ryan E MillsDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, 100 Washtenaw Avenue, Ann Arbor, MI, 48109, USA. remills@umich.edu.ORCID http://orcid.org/0000-0003-3425-6998
Michael J McConnellLieber Institute for Brain Development, 855 North Wolfe Street, Baltimore, MD, 21205, USA. mikemc@libd.org.ORCID http://orcid.org/0000-0001-6196-0791

Funding

PREDOCTORAL TRAINING IN GENETICST32GM007544 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MORAN, JOHN V. · 1985 to 2022
$11.3M
3/3-Schizophrenia Genetics and Brain Somatic MosaicismU01MH106882 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI GAGE, FRED H · 2015 to 2019
$5.3M
2/3 Schizophrenia Genetics and Brain Somatic MosaicismU01MH106892 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MORAN, JOHN V. · 2015 to 2019
$4.7M
BSMN Reference Tissue Project (Lieber Institute for Brain Development) 1U01MH106893-01 - 1/3-Schizophrenia Genetics and Brain Somatic MosaicismU01MH106893 · NIMH · LIEBER INSTITUTE, INC. · PI WEINBERGER, DANIEL · 2015 to 2019
$3.9M
NIGMS NIH HHS T32 GM007544NIMH NIH HHS U01 MH106882NIMH NIH HHS U01 MH106892NIMH NIH HHS U01 MH106893U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) U01 MH106892 supplement
6 · The paper itself

Abstract

When somatic cells acquire complex karyotypes, they often are removed by the immune system. Mutant somatic cells that evade immune surveillance can lead to cancer. Neurons with complex karyotypes arise during neurotypical brain development, but neurons are almost never the origin of brain cancers. Instead, somatic mutations in neurons can bring about neurodevelopmental disorders, and contribute to the polygenic landscape of neuropsychiatric and neurodegenerative disease. A subset of human neurons harbors idiosyncratic copy number variants (CNVs, "CNV neurons"), but previous analyses of CNV neurons are limited by relatively small sample sizes. Here, we develop an allele-based validation approach, SCOVAL, to corroborate or reject read-depth based CNV calls in single human neurons. We apply this approach to 2,125 frontal cortical neurons from a neurotypical human brain. SCOVAL identifies 226 CNV neurons, which include a subclass of 65 CNV neurons with highly aberrant karyotypes containing whole or substantial losses on multiple chromosomes. Moreover, we find that CNV location appears to be nonrandom. Recurrent regions of neuronal genome rearrangement contain fewer, but longer, genes.

Indexed as

DNA Copy Number VariationsMosaicismNeuronsAllelesHumans

Identifiers

PMID38760338
PMCPMC11101435

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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.