ArticlemedRxiv : the preprint server for health sciences2026
Associations of dementia polyexposure scores to Alzheimer's disease endophenotypes in diverse populations.
Meri Okorie, Xiaqing Jiang, Kristine Yaffe, Jennifer S Yokoyama, Shea J Andrews, Health and Aging Brain Study – Health Disparities
Abstract readPreprint
In one paragraphArticle in medRxiv : the preprint server for health sciences, 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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What it found
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2 · The registryThe trial behind it
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3 · Its place in the literatureWho cites it
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4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
6 authors.
Meri OkorieEdward and Pearl Fein Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-0487-3031 Xiaqing JiangDepartment of Psychiatry and Behavioural Sciences, University of California, San Francisco, San Francisco, USA.ORCID 0000-0003-3633-0688 Kristine YaffeDepartment of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, USA.
Jennifer S YokoyamaDepartment of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, USA.ORCID 0000-0001-7274-2634 Shea J AndrewsEdward and Pearl Fein Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-1921-9470 Health and Aging Brain Study – Health Disparities
Funding
The Health & Aging Brain Study - Health Disparities (HABS-HD)U19AG078109 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI LEIGH A JOHNSON · 2022 to 2026
$181.1MTDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2MHealth and Aging Brain among Latino Elders (HABLE-AT(N)) StudyR01AG058533 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI JOHNSON, LEIGH A, O'BRYANT, SID E · 2020 to 2025
$45.4MProject 2: Biomarker Analysis, Non-Genetic Risk Factors, and Their Genetic InteractionsU19AG079774 · NIA · UNIVERSITY OF PENNSYLVANIA · PI HELENA Chang CHUI, Gyungah Jun · 2023 to 2026
$39.4MResearch Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Katherine P Rankin · 2019 to 2026
$36.9MTR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2012 to 2022
$14.1MHealth Disparities in Alzheimer's Disease and Mild Cognitive Impairment among Mexican AmericansR01AG054073 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI O'BRYANT, SID E, TOGA, ARTHUR W · 2017 to 2021
$12.6MTau Metabolism in FTD: From Gene Mutations to Molecular Chaperones and Lysosomal ProteasesU54NS123985 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KARCH, CELESTE MARIE · 2021 to 2025
$9.0MUS-South American Initiative for Genetic-Neural-Behavioral Interactions in Human Neurodegenerative ResearchR01AG057234 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Claudia Duran-Aniotz, Agustin M. Ibanez · 2019 to 2026
$6.1MElucidating clinical heterogeneity in early-onset AD via genomics, transcriptomics, and neuroimagingR01AG062588 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YOKOYAMA, JENNIFER S · 2019 to 2023
$4.0MEpigenetic Risk Factors for AD Age at Onset and Health Disparities: HABLE Epigenetics StudyR01AG070862 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI BARBER, ROBERT CLINTON · 2021 to 2025
$3.4MNIA NIH HHS P01 AG019724NIA NIH HHS P30 AG062422NIA NIH HHS R01 AG054073NIA NIH HHS R01 AG057234NIA NIH HHS R01 AG058533NIA NIH HHS R01 AG062588NIA NIH HHS R01 AG070862NIA NIH HHS U19 AG078109NIA NIH HHS U19 AG079774NIBIB NIH HHS P41 EB015922NINDS NIH HHS U54 NS123985
6 · The paper itselfAbstract
introductionDementia clinical risk scores (CRS) provide accessible tools for identifying individuals at risk for Alzheimer's disease (AD), yet their performance across diverse populations and relationships to AD endophenotypes remains unclear.
methodsWe evaluated four CRS, mCAIDE, WHICAP, LIBRA, and CogDRisk, in relation to cognitive impairment diagnoses and endophenotypes for AD, including plasma biomarkers, neuroimaging measures, and cognitive composite scores. Logistic and linear regression models stratified by self-reported race/ethnicity were used to assess the associations of CRS with diagnosis and their predictive performance, and associations with endophenotypes.
resultsHigher CRS were consistently associated with increased odds of dementia across all races/ethnicities. CogDRisk showed the strongest and most consistent performance across diagnostic and endophenotypic outcomes. The other three CRS performed similarly, with mCAIDE performing the worst and lacking associations with plasma biomarkers.
conclusionsCRS capture AD-related risk across diverse populations and modestly reflect underlying biological endophenotypes, supporting their utility in community-based risk assessment.
Indexed as
Alzheimer’s diseasebiomarkersclinical risk scorehealth disparitiesmodifiable risk factors
Identifiers
PMID41646760
PMCPMC12870693
What OpenQuestion holds
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LicenceCC BY-NC-ND
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