Evidence map›Paper›PMID 41001458›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Neuroimaging PheWAS and molecular phenotyping implicate

Xavier Bledsoe, Ting-Chen Wang, Yiyang Wu, Derek Archer, Hung Hsin Chen, Adam Naj, William S Bush, Timothy J Hohman, Logan Dumitrescu, Jennifer E Below and 1 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

5 · Who and what money

Authors and funding

11 authors.

Xavier BledsoeVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-6091-9372
Ting-Chen WangVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0001-6139-3168
Yiyang WuVanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-9231-7093
Derek ArcherVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0001-8638-0785
Hung Hsin ChenVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-1921-2797
Adam NajPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-9621-2942
William S BushDepartment of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH, USA.ORCID 0000-0002-9729-6519
Timothy J HohmanVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-3377-7014
Logan DumitrescuVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-9782-9944
Jennifer E BelowVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-1346-1872
Eric R GamazonVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0003-4204-8734

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Rush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Sex-Specific Genetic Drivers of Alzheimer's Disease EndophenotypesR01AG073439 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Logan C Dumitrescu · 2021 to 2026
$4.8M
Medical Scientist Training ProgramT32GM152284 · NIGMS · VANDERBILT UNIVERSITY · PI Christopher S. Williams · 2024 to 2026
$4.8M
Deconstructing and modeling the single cell architecture of the Alzheimer brainRF1AG057473 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2017 to 2018
$4.0M
Functional genetic analyses of existing data resources to expand AD gene discoveryRF1AG061351 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BELOW, JENNIFER, BUSH, WILLIAM S · 2019 to 2019
$3.0M
Exploring the Role of the Brain Transcriptome in Cognitive DeclineR01AG036836 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI DE JAGER, PHILIP L · 2011 to 2014
$2.9M
Haplotype-aware models of gene and isoform expression with application to genetic studies of disease in diverse populationsR01GM140287 · NIGMS · SEATTLE CHILDREN'S HOSPITAL · PI GAMAZON, ERIC R, MOHAMMADI, PEJMAN · 2021 to 2024
$2.8M
Functional Genomics: A Phenome-wide SurveyR35HG010718 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GAMAZON, ERIC R · 2019 to 2023
$2.2M
NHGRI NIH HHS R01 HG011138NHGRI NIH HHS R35 HG010718NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG072975NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG036836NIA NIH HHS R01 AG073439NIA NIH HHS R56 AG068026NIA NIH HHS RF1 AG057473NIA NIH HHS RF1 AG061351NIGMS NIH HHS R01 GM140287NIGMS NIH HHS T32 GM007347NIGMS NIH HHS T32 GM152284
6 · The paper itself

Abstract

introductionNeuroimaging genetics have advanced Alzheimer's disease (AD) research, yet frameworks mechanistically connecting genes to neurological outcomes via functional genomics are needed to elucidate genetic associations. To address this challenge, we assessed relationships between AD-associated variants and disease via their impact on gene expression and neuroimaging phenotypes.

methodsWe mapped established AD genes to neuroimaging traits using NeuroimaGene atlas and predicted transcript-driven AD neurological features by comparing gene-derived neuroimaging features to clinical neuroimaging data. Genetic correlation and covariance analyses characterized shared genetic architecture between AD endophenotypes and neuroimaging features and identified neuroimaging features associated with dementia family history.

resultsOur analyses implicate DISCUSSION: Our findings prioritize AD genes whose regulation is associated with vulnerable brain regions, offering a potential mechanistic framework for downstream functional validation.

Indexed as

Alzheimer’s Diseasedementia family historygenetic correlation and covarianceNeuroimaGeneneuroimaging-derived phenotypestranscriptome-wide association studies

Identifiers

PMID41001458
PMCPMC12458493

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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.