Evidence map›Paper›PMID 40556868›Full record

ArticleFrontiers in neuroscience2025

Common genetic variation associated with adult subcortical brain volume is also associated with subcortical brain volume at birth.

Harriet Cullen, Konstantina Dimitrakopoulou, Hamel Patel, Charles Curtis, Dafnis Batalle, Oliver Gale-Grant, Lucilio Cordero-Grande, Anthony Price, Joseph V Hajnal, A David Edwards

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

10 authors.

Harriet CullenSchool of Biomedical Engineering and Imaging Sciences, Centre for the Developing Brain, King's College London, London, United Kingdom.
Konstantina DimitrakopoulouTranslational Bioinformatics Platform, NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, United Kingdom.
Hamel PatelNIHR BioResource Centre Maudsley, NIHR Maudsley Biomedical Research Centre, King's College London, London, United Kingdom.
Charles CurtisNIHR BioResource Centre Maudsley, NIHR Maudsley Biomedical Research Centre, King's College London, London, United Kingdom.
Dafnis BatalleSchool of Biomedical Engineering and Imaging Sciences, Centre for the Developing Brain, King's College London, London, United Kingdom.
Oliver Gale-GrantSchool of Biomedical Engineering and Imaging Sciences, Centre for the Developing Brain, King's College London, London, United Kingdom.
Lucilio Cordero-GrandeSchool of Biomedical Engineering and Imaging Sciences, Centre for the Developing Brain, King's College London, London, United Kingdom.
Anthony PriceSchool of Biomedical Engineering and Imaging Sciences, Centre for the Developing Brain, King's College London, London, United Kingdom.
Joseph V HajnalSchool of Biomedical Engineering and Imaging Sciences, Centre for the Developing Brain, King's College London, London, United Kingdom.
A David EdwardsSchool of Biomedical Engineering and Imaging Sciences, Centre for the Developing Brain, King's College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Recent genome-wide association studies have identified numerous single nucleotide polymorphisms (SNPs) associated with subcortical brain volumes. These studies have been undertaken in largely adult cohorts. In this work we explore the role of common genetic variability in fetal and perinatal brain development. We investigate how genetic variation, known to be associated with adult subcortical brain volume, affects the infant subcortical brain. Methods: We examine the influence of specific genetic loci and genome-wide polygenic scores on development of the fetal brain. Using a cohort of 208 term-born infants from the Developing Human Connectome Project, we ask whether eight SNPs, previously associated with adult subcortical brain volumes, show similar associations at birth. In addition, we compute genome-wide polygenic scores for the amygdala, brainstem, caudate, hippocampus, pallidum, putamen and thalamus and ask whether these scores are associated with the corresponding neonatal brain volumes. Results: We find that the association between SNP rs945270 and putamen volume, seen in adults, is present at birth ( Conclusions: Our results suggest that common genetic variation, important in shaping adult subcortical brain volume, also plays a significant role in fetal and perinatal brain development.

Indexed as

MRIneonateneuroimagingpolygenic risk scoresingle nucleotide polymorphism (SNP)subcortical brain volume

Identifiers

PMID40556868
PMCPMC12185412

What OpenQuestion holds

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LicenceCC BY
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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.