Evidence map›Paper›PMID 37312172›Full record

ArticleAlzheimer's research & therapy2023

Association between polygenic risk for Alzheimer's disease and brain structure in children and adults.

Xiao-Yu He, Bang-Sheng Wu, Kevin Kuo, Wei Zhang, Qing Ma, Shi-Tong Xiang, Yu-Zhu Li, Zi-Yi Wang, Qiang Dong, Jian-Feng Feng and 2 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. From adolescence to Alzheimer's: a neurodevelopmental lifespan model of cognitive vulnerability.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  3. Article
  4. White Matter Microstructural Alterations Mediate the Association between Polygenic Risk for Alzheimer's Disease and Cognitive Performance in Clinically Asymptomatic Adults.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Article
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  6. Article
  7. Article
  8. Article
  9. Autonomic dysfunction in neurodegenerative disease.Nature reviews. Neuroscience · 2025
    Review
  10. Longitudinal Sex-at-Birth and Age Analyses of Cortical Structure in the ABCD Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
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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

12 authors at 2 institutions in 1 country.

Xiao-Yu He *Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, Shanghai, China.
Bang-Sheng Wu *Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, Shanghai, China.
Kevin KuoDepartment of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, Shanghai, China.
Wei ZhangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Qing MaInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Shi-Tong XiangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Yu-Zhu LiInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Zi-Yi WangDepartment of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, Shanghai, China.
Qiang DongDepartment of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, Shanghai, China.
Jian-Feng FengInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Wei ChengDepartment of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, Shanghai, China. wcheng@fudan.edu.cn.
Jin-Tai YuDepartment of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, Shanghai, China. jintai_yu@fudan.edu.cn.
Fudan University · CNZhejiang Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe correlations between genetic risk for Alzheimer's disease (AD) with comprehensive brain regions at a regional scale are still not well understood. We aim to explore whether these associations vary across different age stages.

methodsThis study used large existing genome-wide association datasets to calculate polygenic risk score (PRS) for AD in two populations from the UK Biobank (N ~ 23 000) and Adolescent Brain Cognitive Development Study (N ~ 4660) who had multimodal macrostructural and microstructural magnetic resonance imaging (MRI) metrics. We used linear mixed-effect models to assess the strength of the association between AD PRS and multiple MRI metrics of regional brain structures at different stages of life.

resultsCompared to those with lower PRSs, adolescents with higher PRSs had thinner cortex in the caudal anterior cingulate and supramarginal. In the middle-aged and elderly population, AD PRS had correlations with regional structure shrink primarily located in the cingulate, prefrontal cortex, hippocampus, thalamus, amygdala, and striatum, whereas the brain expansion was concentrated near the occipital lobe. Furthermore, both adults and adolescents with higher PRSs exhibited widespread white matter microstructural changes, indicated by decreased fractional anisotropy (FA) or increased mean diffusivity (MD).

conclusionsIn conclusion, our results suggest genetic loading for AD may influence brain structures in a highly dynamic manner, with dramatically different patterns at different ages. This age-specific change is consistent with the classical pattern of brain impairment observed in AD patients.

Indexed as

Alzheimer DiseaseAdolescentAdultAgedAmygdalaBrainChildCognitionGenome-Wide Association StudyHumansMiddle AgedAlzheimer’s diseaseBrain structureGeneticsMagnetic resonance imagingPolygenic risk score

Identifiers

PMID37312172
PMCPMC10262429
OpenAlexW4380445910

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.