Evidence map›Paper›PMID 39905010›Full record

ArticleTranslational psychiatry2025

Autism common variants associated with white matter alterations at birth: cross-sectional fixel-based analyses of 221 European term-born neonates from the developing human connectome project.

Hai Le, Alexandra F Bonthrone, Alena Uus, Daphna Fenchel, Alexandra Lautarescu, Konstantina Dimitrakopoulou, A David Edwards, Joseph V Hajnal, Serena J Counsell, Lucilio Cordero-Grande and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Hai LeResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. L.haibg@gmail.com.ORCID http://orcid.org/0000-0001-6221-6980
Alexandra F BonthroneResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Alena UusResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Daphna FenchelResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Alexandra LautarescuResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0001-7680-8936
Konstantina DimitrakopoulouTranslational Bioinformatics Platform, NIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust and King's College London, London, UK.
A David EdwardsResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0003-4801-7066
Joseph V HajnalResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0002-2690-5495
Serena J CounsellResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Lucilio Cordero-GrandeResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0003-1477-304X
Daan ChristiaensResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Dafnis BatalleResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0003-2097-979X
Maximilian PietschResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Anthony N PriceResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Hamel PatelNIHR BioResource Centre Maudsley, NIHR Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust & Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID http://orcid.org/0000-0001-7951-6728
Charles CurtisNIHR BioResource Centre Maudsley, NIHR Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust & Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Harriet Cullen *Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0002-2846-1621
Maria Deprez *Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Jacques-Donald Tournier *Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Funding

Comunidad de Madrid BGP18/00178RCUK | Medical Research Council (MRC) MR/N013700/1Wellcome TrustWellcome Trust (Wellcome) WT 203148/Z/16/Z
6 · The paper itself

Abstract

Increasing lines of evidence suggest white matter (WM) structural changes associated with autism can be detected in the first year of life. Despite the condition having high heritability, the relationship between autism common genetic variants and WM changes during this period remains unclear. By employing advanced regional and whole-brain fixel-based analysis, the current study investigated the association between autism polygenic scores (PS) and WM microscopic fibre density and macrostructural morphology in 221 term-born infants of European ancestry from the developing Human Connectome Project. The results suggest greater tract mean fibre-bundle cross-section of the left superior corona radiata is associated with higher autism PS. Subsequent exploratory enrichment analysis revealed that the autism risk single nucleotide polymorphisms most associated with the imaging phenotype may have roles in neuronal cellular components. Together, these findings suggest a possible link between autism common variants and early WM development.

Indexed as

Autistic DisorderBrainWhite MatterConnectomeCross-Sectional StudiesFemaleHumansInfant, NewbornMagnetic Resonance ImagingMaleMultifactorial InheritancePolymorphism, Single NucleotideWhite People

Identifiers

PMID39905010
PMCPMC11794609

What OpenQuestion holds

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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.