Evidence map›Paper›PMID 42427161›Full record

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

Genetically linked brain imaging markers of memory decline in aging and Alzheimer's disease.

Yisu Yang, Anna Lorenz, Aditi Sathe, Kurt G Schilling, Leslie S Gaynor, Seo-Eun Choi, Michael L Lee, Phoebe Scollard, Emily H Trittschuh, Shubhabrata Mukherjee and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

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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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

17 authors.

Yisu YangVanderbilt Memory and Alzheimer's Center, Vanderbilt Health, Nashville, Tennessee, USA.
Anna LorenzVanderbilt Memory and Alzheimer's Center, Vanderbilt Health, Nashville, Tennessee, USA.
Aditi SatheVanderbilt Memory and Alzheimer's Center, Vanderbilt Health, Nashville, Tennessee, USA.
Kurt G SchillingVanderbilt University Institute of Imaging Science, Vanderbilt Health, Nashville, Tennessee, USA.
Leslie S GaynorVanderbilt Memory and Alzheimer's Center, Vanderbilt Health, Nashville, Tennessee, USA.
Seo-Eun ChoiDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Michael L LeeDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Phoebe ScollardDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Emily H TrittschuhDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA.
Shubhabrata MukherjeeDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Jesse MezDepartment of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA.
Logan C DumitrescuVanderbilt Memory and Alzheimer's Center, Vanderbilt Health, Nashville, Tennessee, USA.
Bennett A LandmanVanderbilt Memory and Alzheimer's Center, Vanderbilt Health, Nashville, Tennessee, USA.
Paul K CraneDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Michael L CuccaroJohn P Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Timothy J HohmanVanderbilt Memory and Alzheimer's Center, Vanderbilt Health, Nashville, Tennessee, USA.
Derek B ArcherVanderbilt Memory and Alzheimer's Center, Vanderbilt Health, Nashville, Tennessee, USA.

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
MVP Data Integration into the ADSP Phenotype Harmonization ConsortiumU24AG074855 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CUCCARO, MICHAEL L, HOHMAN, TIMOTHY J · 2021 to 2025
$37.5M
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease BiobanksU01AG068057 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christos Davatzikos, Heng Huang · 2020 to 2026
$20.7M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
Genetic Drivers of Resilience to Alzheimer's DiseaseR01AG059716 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HOHMAN, TIMOTHY J · 2018 to 2022
$4.4M
Microstructure and connectivity modeling from the cortex to the spinal cord in Multiple SclerosisK01EB032898 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHILLING, KURT G · 2022 to 2025
$630k
Genetic Contributors to White Matter Microstructure in Aging and Alzheimer’s DiseaseK01AG073584 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ARCHER, DEREK B · 2021 to 2025
$601k
High-Performance Computer Cluster for Biomedical ResearchS10OD023680 · OD · VANDERBILT UNIVERSITY · PI MEILER, JENS · 2017 to 2017
$587k
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR002243NIA NIH HHS 75N95D22P00141NIA NIH HHS K01 AG073584NIA NIH HHS K01-AG073584NIA NIH HHS K01-EB032898NIA NIH HHS R01 AG059716NIA NIH HHS R01-AG059716NIA NIH HHS R01-EB017230NIA NIH HHS U01 AG068057NIA NIH HHS U24 AG074855NIA NIH HHS UL1-TR000445NIA NIH HHS UL1-TR002243NIBIB NIH HHS K01 EB032898NIBIB NIH HHS R01 EB017230NIH HHS S10 OD023680Vanderbilt Clinical Translational Science Award S10-OD023680Vanderbilt's High-Performance Computer Cluster for Biomedical Research
6 · The paper itself

Abstract

introductionMemory is a strong endophenotype for Alzheimer's disease (AD) but is typically detectable only after substantial brain change. Genetically linking late-life memory with mid-life brain traits may identify early markers of AD-related cognitive decline.

methodsWe leveraged GeNetic cOVariance Analyzer (GNOVA) to estimate genetic covariance between genome-wide association studies (GWASs) of memory performance (MEM) and decline (memslopes) and 3935 UK Biobank (UKB) imaging-derived phenotypes (IDPs) across diffusion, structural, and functional modalities, stratifying by cognitive status and apolipoprotein E (APOE) inclusion. Memory GWASs included 24,216 non-Hispanic White older adults (mean = 74.46 years); IDP GWASs included 33,224 European-ancestry mid-life participants (45.1 to 81.8 years, mean = 64.28).

resultsDiffusion and structural IDPs in medial temporal and frontal regions showed the strongest genetic covariance with memory, with additional shared genetic architecture in default mode network functional connectivity. DISCUSSION: Mid-life brain traits genetically linked to late-life memory map to AD-vulnerable regions, suggesting biologically relevant risk pathways and potential drug targets for cognitive decline.

Indexed as

AgingAlzheimer DiseaseBrainMemory DisordersAgedAged, 80 and overApolipoproteins EFemaleGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleMemoryMiddle AgedNeuroimagingApolipoproteins EagingAlzheimer's diseasegenetic covariancememorymultimodal magnetic resonance imaging (MRI)

Identifiers

PMID42427161
PMCPMC13351319

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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.