Evidence map›Paper›PMID 41851041›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Brain volume trajectories in young children are associated with polygenic scores for late-onset Alzheimer's disease risk.

Poorbita Kundu, Changbo Zhu, Matt Huentelman, Sean C L Deoni, Marcus Naymik, Francis Taguinod, Matt De Both, Candace R Lewis, Hans-Georg Müller

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Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

9 authors.

Poorbita KunduDepartment of Statistics, University of California, Davis, California, USA.
Changbo ZhuDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, Indiana, USA.
Matt HuentelmanNeurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona, USA.
Sean C L DeoniMaternal, Newborn, and Child Health Discovery & Tools, Bill & Melinda Gates Foundation, Seattle, Washington, USA.
Marcus NaymikNeurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona, USA.
Francis TaguinodNeurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona, USA.
Matt De BothNeurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona, USA.
Candace R LewisSchool of Life Sciences, Arizona State University, Tempe, Arizona, USA.
Hans-Georg MüllerDepartment of Statistics, University of California, Davis, California, USA.

Funding

National Science Foundation DMS-2014626National Science Foundation DMS-2310450
6 · The paper itself

Abstract

introductionPolygenic risk scores (PRSs) for Alzheimer's disease (AD) capture an individual's genetic susceptibility to AD. Although thoroughly studied in older populations, there exists a notable gap in comprehensively exploring the association of AD PRS with early brain development.

methodsWe examined longitudinal brain magnetic resonance imaging (MRI) data from 348 typically developing children in the RESONANCE cohort. Proportional cerebrospinal fluid (pCSF), white matter (pWM), and gray matter (pGM) volumes were analyzed using functional concurrent regression and Riemannian functional principal component analysis. AD-PRS scores (AD25 and AD54) were computed using genome-wide data.

resultsHigher AD PRS was significantly associated with reduced pCSF during early childhood (ages 2.5 to 5.5 years for AD54). Energy and distance-based tests revealed overall significant differences in brain volume trajectories between moderate and low AD54 risk groups. DISCUSSION: These findings suggest that genetic risk for late-onset AD is linked to early neurodevelopmental patterns, indicating that AD vulnerability may originate during critical windows of early brain maturation.

Indexed as

Alzheimer DiseaseBrainMultifactorial InheritanceChildChild, PreschoolFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreGray MatterHumansLongitudinal StudiesMagnetic Resonance ImagingMaleOrgan SizeWhite MatterAlzheimer's diseasecompositional datafunctional data analysislongitudinal brain volumesPACE methodologypolygenic risk scores

Identifiers

PMID41851041
PMCPMC13093798

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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.