Evidence map›Paper›PMID 41282686›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Cross-Ancestry Polygenic Risk Scores Enhance Alzheimer's Disease Risk Prediction in Multiethnic Cohorts.

Meri Okorie, Caroline Jonson, Alexis P Oddi, Patricia A Castruita, Brian Fulton-Howard, Kristine Yaffe, Jennifer S Yokoyama, Chinedu Udeh-Momoh, Shea J Andrews

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

9 authors.

Meri OkorieUCSF School of Pharmacy and the UCSF School of Medicine, University of California, San Francisco, San Francisco, USA.ORCID 0000-0002-0487-3031
Caroline JonsonDepartment of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, USA.ORCID 0000-0001-7049-6281
Alexis P OddiDepartment of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, USA.ORCID 0000-0001-9151-889X
Patricia A CastruitaDepartment of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, USA.ORCID 0009-0006-7848-5177
Brian Fulton-HowardRonald M Loeb Center for Alzheimer's disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-9788-3115
Kristine YaffeUCSF School of Pharmacy and the UCSF School of Medicine, University of California, San Francisco, San Francisco, USA.ORCID 0000-0003-0919-3825
Jennifer S YokoyamaDepartment of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, USA.ORCID 0000-0001-7274-2634
Chinedu Udeh-MomohDepartment of Epidemiology and Prevention, Wake Forest University School of Medicine, USA.ORCID 0000-0002-7357-4692
Shea J AndrewsUCSF School of Pharmacy and the UCSF School of Medicine, University of California, San Francisco, San Francisco, USA.ORCID 0000-0002-1921-9470

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
Large Scale Genome SequencingU54HG003079 · NHGRI · WASHINGTON UNIVERSITY · PI DUTCHER, SUSAN K · 2004 to 2016
$445.7M
The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI ARTHUR W TOGA · 2016 to 2026
$226.7M
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
$181.1M
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
Harmonized Data-Derived Resources for the Alzheimer's Disease and Related Dementias CommunityZIAAG000534 · NIA · NATIONAL INSTITUTE ON AGING · PI COOKSON, MARK · 2019 to 2025
$85.1M
Translational pharmacoepidemiology: neuroprotection and neurotoxicity of antihypertensives and strong anticholinergicsU19AG066567 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI Christine L MacDonald · 2021 to 2026
$80.4M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7M
Intramural NIH HHS ZIA AG000534NHGRI NIH HHS RC2 HG005605NHGRI NIH HHS U54 HG003067NHGRI NIH HHS U54 HG003079NHGRI NIH HHS U54 HG003273NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS R01 HL070825NHLBI NIH HHS R01 HL105756NHLBI NIH HHS RC2 HL102419NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096814NHLBI NIH HHS U01 HL096899NHLBI NIH HHS U01 HL096902NHLBI NIH HHS U01 HL096917NHLBI NIH HHS U01 HL130114NIA NIH HHS K23 AG030944NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P20 AG068024NIA NIH HHS P20 AG068053NIA NIH HHS P20 AG068077NIA NIH HHS P20 AG068082NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG038072NIA NIH HHS P30 AG062421NIA NIH HHS P30 AG062422NIA NIH HHS P30 AG062429NIA NIH HHS P30 AG062677NIA NIH HHS P30 AG062715NIA NIH HHS P30 AG066444NIA NIH HHS P30 AG066462NIA NIH HHS P30 AG066468NIA NIH HHS P30 AG066506NIA NIH HHS P30 AG066507NIA NIH HHS P30 AG066508NIA NIH HHS P30 AG066509NIA NIH HHS P30 AG066511NIA NIH HHS P30 AG066512NIA NIH HHS P30 AG066514NIA NIH HHS P30 AG066515NIA NIH HHS P30 AG066518NIA NIH HHS P30 AG066519NIA NIH HHS P30 AG066530NIA NIH HHS P30 AG066546NIA NIH HHS P30 AG072931NIA NIH HHS P30 AG072946NIA NIH HHS P30 AG072947NIA NIH HHS P30 AG072958NIA NIH HHS P30 AG072959NIA NIH HHS P30 AG072972NIA NIH HHS P30 AG072973NIA NIH HHS P30 AG072975NIA NIH HHS P30 AG072976NIA NIH HHS P30 AG072977NIA NIH HHS P30 AG072978NIA NIH HHS P30 AG072979NIA NIH HHS P50 AG005136NIA NIH HHS P50 AG008012NIA NIH HHS P50 AG016574NIA NIH HHS R01 AG009029NIA NIH HHS R01 AG009956NIA NIH HHS R01 AG011101NIA NIH HHS R01 AG011380NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG015928NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG018016NIA NIH HHS R01 AG019085NIA NIH HHS R01 AG019757NIA NIH HHS R01 AG019771NIA NIH HHS R01 AG020098NIA NIH HHS R01 AG021136NIA NIH HHS R01 AG021547NIA NIH HHS R01 AG022018NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG025259NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG027944NIA NIH HHS R01 AG028786NIA NIH HHS R01 AG031272NIA NIH HHS R01 AG032289NIA NIH HHS R01 AG032990NIA NIH HHS R01 AG033040NIA NIH HHS R01 AG033193NIA NIH HHS R01 AG041797NIA NIH HHS R01 AG042188NIA NIH HHS R01 AG042210NIA NIH HHS R01 AG044546NIA NIH HHS R01 AG044829NIA NIH HHS R01 AG046949NIA NIH HHS R01 AG048234NIA NIH HHS R01 AG048927NIA NIH HHS R01 AG049607NIA NIH HHS R01 AG054047NIA NIH HHS R01 AG054073NIA NIH HHS R01 AG054076NIA NIH HHS R01 AG057909NIA NIH HHS R01 AG058533NIA NIH HHS R01 AG059716NIA NIH HHS R01 AG060747NIA NIH HHS R01 AG061155NIA NIH HHS R01 AG064614NIA NIH HHS R01 AG064877NIA NIH HHS R01 AG070862NIA NIH HHS R01 AG079280NIA NIH HHS R37 AG015473NIA NIH HHS R56 AG051876NIA NIH HHS RC4 AG039085NIA NIH HHS RF1 AG015473NIA NIH HHS RF1 AG051504NIA NIH HHS RF1 AG053303NIA NIH HHS RF1 AG054023NIA NIH HHS RF1 AG054047NIA NIH HHS RF1 AG054052NIA NIH HHS RF1 AG054074NIA NIH HHS RF1 AG054080NIA NIH HHS RF1 AG057519NIA NIH HHS RF1 AG058066NIA NIH HHS RF1 AG058267NIA NIH HHS RF1 AG058501NIA NIH HHS U01 AG006781NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG032984NIA NIH HHS U01 AG046139NIA NIH HHS U01 AG049505NIA NIH HHS U01 AG049506NIA NIH HHS U01 AG049507NIA NIH HHS U01 AG049508NIA NIH HHS U01 AG052409NIA NIH HHS U01 AG052410NIA NIH HHS U01 AG052411NIA NIH HHS U01 AG057659NIA NIH HHS U01 AG058589NIA NIH HHS U01 AG058635NIA NIH HHS U01 AG058654NIA NIH HHS U01 AG058922NIA NIH HHS U01 AG062602NIA NIH HHS U01 AG062943NIA NIH HHS U01 AG068057NIA NIH HHS U19 AG024904NIA NIH HHS U19 AG066567NIA NIH HHS U19 AG078109NIA NIH HHS U24 AG021886NIA NIH HHS U24 AG041689NIA NIH HHS U24 AG056270NIA NIH HHS U24 AG072122NIA NIH HHS U24 AG074855NIA NIH HHS U54 AG052427NIA NIH HHS UF1 AG047133NIBIB NIH HHS P41 EB015922NINDS NIH HHS P01 NS026630NINDS NIH HHS P50 NS039764NINDS NIH HHS P50 NS071674NINDS NIH HHS R01 NS017950NINDS NIH HHS R01 NS029993NINDS NIH HHS R01 NS069719NINDS NIH HHS R01 NS080820NINDS NIH HHS U01 NS041588Wellcome Trust
6 · The paper itself

Abstract

introductionGenome-wide association studies (GWAS) have identified 80+ genetic loci associated with Alzheimer's disease (AD), enabling the development of polygenic risk scores (PRS). However, the predictive accuracy of PRS in diverse populations remains low. Here, we evaluated the predictive accuracy of single-, multi-, and cross-ancestry AD-PRS models across multi-ancestral populations.

methodsWe used AD GWAS summary statistics from European, African, Amerindian, and East Asian populations to construct AD-PRS for each target population. Model performance was assessed by estimating odds ratios, R

resultsThe cross-ancestry Bayesian PRS model demonstrated the highest predictive performance in non-European populations. It was significantly associated with poorer cognitive function, lower Aβ DISCUSSION: Inclusive genetic datasets and cross-ancestry PRS models are needed to enhance the transportability of AD-PRS across multi-ancestral populations.

Indexed as

AD-PRSAlzheimer’s diseasepolygenic risk scorepopulation genetics

Identifiers

PMID41282686
PMCPMC12632690

What OpenQuestion holds

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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.