Evidence map›Paper›PMID 40081874›Full record

ReviewJournal of medical genetics2025

Limitations of genomics to predict and treat autism: a disorder born in the womb.

Yehezkel Ben-Ari, Étienne É Danchin

Abstract readReview
In one paragraph

Review in Journal of medical genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Yehezkel Ben-AriNeurochlore SAS, Marseille, France ben-ari@neurochlore.fr.ORCID http://orcid.org/0000-0001-6208-8480
Étienne É DanchinCentre de biologie integrative, Centre de recherches sur la cognition animale, Toulouse University, Toulouse, France.ORCID http://orcid.org/0000-0002-5013-9612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain development involves the sequential expression of vulnerable biological processes including cell proliferation, programmed cell death, neuronal migration, synapse and functional unit formation. All these processes involve gene and activity-dependent events that can be distorted by many extrinsic and intrinsic environmental factors, including stress, microbiota, inflammatory signals, hormonal signals and epigenetic factors, hence leading to disorders born in the womb that are manifested later in autism spectrum disorders (ASDs) and other neurodevelopmental disorders. Predicting and treating such disorders call for a conceptual framework that includes all aspects of developmental biology. Here, taking the high incidence of ASDs as an example, we first discuss the intrinsic limitations of the genetic approach, notably the widely used twin studies and SNPs. We then review the long list of in utero events that can deviate developmental sequences, leading to persistent aberrant activity generated by immature misplaced and misconnected neuronal ensembles that are the direct cause of ASD. In a clinical perspective, we suggest analysing non-genetic maternity data to enable an early prediction of babies who will develop ASD years later, thereby facilitating early psycho-educative techniques. Subsequently, agents capable of selectively silencing malformed immature networks offer promising therapeutic perspectives. In summary, understanding developmental processes is critical to predicting, understanding and treating ASD, as well as most other disorders that arise in the womb.

Indexed as

Autism Spectrum DisorderAutistic DisorderGenomicsBrainFemaleGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotidePregnancyBirth InjuriesCentral Nervous System DiseasesDisorders of Environmental OriginInfectious Disease MedicinePublic Health

Identifiers

PMID40081874
PMCPMC12015019

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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.