Evidence map›Paper›PMID 42145619›Full record

ArticlemedRxiv : the preprint server for health sciences2026

A Genome-wide Association Study of Alzheimer's Disease and Dementia in a Large Multi-ancestry Military Cohort Identifies Many New Dementia-Associated Loci.

Richard Sherva, Henry Bayly, Rui Zhang, Kelly Harrington, Jesse Mez, Mark W Miller, Debby Tsuang, Erika Wolf, Qing Zeng, Yann Le Guen and 9 more

Abstract readPreprint
In one paragraph

Article 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.

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

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

19 authors.

Richard ShervaNational Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, 02130.
Henry BaylyDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, 02118.
Rui ZhangNational Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, 02130.
Kelly HarringtonMillion Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA, 02130.
Jesse MezDepartment of Neurology, Boston University Chobanian & Avedisian, School of Medicine, Boston, MA.
Mark W MillerNational Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, 02130.
Debby TsuangGeriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA.
Erika WolfNational Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, 02130.
Qing ZengVA Washington DC Healthcare System, Washington, DC.
Yann Le GuenDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA.
Marlene TejedaDepartment of Medicine (Biomedical Genetics) Boston University Chobanian & Avedisian, School of Medicine, Boston, MA, 02118, USA.
VA Million Veteran Program
MVP Cognitive Decline and Dementia During Aging Working Group
John Michael GazianoMillion Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA, 02130.
Matthew S PanizzonDepartment of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA.
Richard L HaugerDepartment of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA.
Victoria C MerrittCenter of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, 92161.
Lindsay A FarrerDepartment of Medicine (Biomedical Genetics) Boston University Chobanian & Avedisian, School of Medicine, Boston, MA, 02118, USA.
Mark W LogueNational Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, 02130.

Funding

BLRD VA I01 BX004192BLRD VA I01 BX005749
6 · The paper itself

Abstract

Introduction: Biobank-scale cohorts of individuals with genetic data and diagnoses of Alzheimer's disease and related dementias (ADRD) have facilitated the discovery of additional risk loci via meta-analysis, with existing cohorts assembled specifically for ADRD genetic discovery. Cross-ancestry meta-analyses have further elucidated the overall genetic architecture of these dementias. Here, we include for the first time the European ancestry (EA) and Hispanic ancestry (HA) subset of the VA Million Veterans Program (MVP) along with the African ancestry (AA) MVP participants in a meta-analysis with a large-scale EA and AA meta-analysis. Methods: Independent genome-wide association studies (GWASs) were conducted in MVP participants using four phenotypes derived from electronic medical records and surveys: ADRD, prescriptions for common dementia medications, and self-reported maternal and paternal history of dementia (dementia by proxy). These GWASs were repeated in the EA, AA, and HA cohorts. MVP ancestry-specific and cross-ancestry meta-analyses were conducted. These were then meta-analyzed with existing GWAS results. Functionality of the peak variants was explored using brain-derived gene expression data and co-localization analysis. Results: Apart from the Discussion: MVP represents a large and unique primarily male cohort comprised of US Veterans from a range of backgrounds with a unique set of environmental exposures. The results generated here demonstrate the utility of biobank level cohorts for AD genetic discovery. Furthermore, our discovery of ADRD genes was enhanced by the inclusion of MVP data that provided an increase of underrepresented ancestry groups in contrast to prior cross ancestry GWASs. The new AD risk loci identified present potential new targets for dementia treatment confirmed that future large-scale analyses of AD genetic risk and prediction will be enhanced by the inclusion of MVP data.

Identifiers

PMID42145619
PMCPMC13174749

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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.