Evidence map›Paper›PMID 31371714›Full record

ArticleNature communications2019

Large-scale neuroanatomical study uncovers 198 gene associations in mouse brain morphogenesis.

Stephan C Collins, Anna Mikhaleva, Katarina Vrcelj, Valerie E Vancollie, Christel Wagner, Nestor Demeure, Helen Whitley, Meghna Kannan, Rebecca Balz, Lauren F E Anthony and 8 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. 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
1.5field-weighted citation impact, top 18% 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, 54 citations in OpenAlex.

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  7. ASPEN: Robust detection of allelic dynamics in single cell RNA-seq.bioRxiv : the preprint server for biology · 2025
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  16. Characterization of Two MouseInternational journal of molecular sciences · 2022
    Article
  17. Article
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  20. A diffusion MRI-based spatiotemporal continuum of the embryonic mouse brain for probing gene-neuroanatomy connections.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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 at 6 institutions in 3 countries.

Stephan C CollinsInstitut de Génétique et de Biologie Moléculaire et Cellulaire, 67404, Illkirch, France.
Anna MikhalevaCenter for Integrative Genomics, University of Lausanne, 1015, Lausanne, Switzerland.
Katarina VrceljDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, OX1 3PT, UK.
Valerie E VancollieWellcome Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.ORCID http://orcid.org/0000-0003-1547-1975
Christel WagnerInstitut de Génétique et de Biologie Moléculaire et Cellulaire, 67404, Illkirch, France.
Nestor DemeureInstitut de Génétique et de Biologie Moléculaire et Cellulaire, 67404, Illkirch, France.
Helen WhitleyInstitut de Génétique et de Biologie Moléculaire et Cellulaire, 67404, Illkirch, France.
Meghna KannanInstitut de Génétique et de Biologie Moléculaire et Cellulaire, 67404, Illkirch, France.ORCID http://orcid.org/0000-0002-0360-0015
Rebecca BalzCenter for Integrative Genomics, University of Lausanne, 1015, Lausanne, Switzerland.
Lauren F E AnthonyWellcome Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.
Andrew EdwardsWoodland View Hospital, NHS Ayrshire and Arran, Irvine, KA12 8SS, Scotland.
Hervé MoineInstitut de Génétique et de Biologie Moléculaire et Cellulaire, 67404, Illkirch, France.
Jacqueline K WhiteWellcome Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.
David J AdamsWellcome Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.
Alexandre ReymondCenter for Integrative Genomics, University of Lausanne, 1015, Lausanne, Switzerland.
Christopher J LelliottWellcome Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.ORCID http://orcid.org/0000-0001-8087-4530
Caleb WebberDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, OX1 3PT, UK.
Binnaz YalcinInstitut de Génétique et de Biologie Moléculaire et Cellulaire, 67404, Illkirch, France. Binnaz.Yalcin@igbmc.fr.ORCID http://orcid.org/0000-0002-1924-6807
Centre National de la Recherche Scientifique · FRWellcome Sanger Institute · GBUniversity of Lausanne · CHUniversity of Oxford · GBCentre for Human Genetics · GBInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain morphogenesis is an important process contributing to higher-order cognition, however our knowledge about its biological basis is largely incomplete. Here we analyze 118 neuroanatomical parameters in 1,566 mutant mouse lines and identify 198 genes whose disruptions yield NeuroAnatomical Phenotypes (NAPs), mostly affecting structures implicated in brain connectivity. Groups of functionally similar NAP genes participate in pathways involving the cytoskeleton, the cell cycle and the synapse, display distinct fetal and postnatal brain expression dynamics and importantly, their disruption can yield convergent phenotypic patterns. 17% of human unique orthologues of mouse NAP genes are known loci for cognitive dysfunction. The remaining 83% constitute a vast pool of genes newly implicated in brain architecture, providing the largest study of mouse NAP genes and pathways. This offers a complementary resource to human genetic studies and predict that many more genes could be involved in mammalian brain morphogenesis.

Indexed as

BrainGenetic Association StudiesNeuroanatomyAnimalsCell CycleCognitionCytoskeletonGene Regulatory NetworksGenes, LethalHumansMaleMiceMice, Inbred C57BLMice, KnockoutModels, AnimalMorphogenesis

Identifiers

PMID31371714
PMCPMC6671969
OpenAlexW2965541130

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.