Evidence map›Paper›PMID 42818935›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Multi-trait Polygenic Profiling and Survival Free of Dementia and Disability: Results from the Health and Retirement Study.

Yome Tawaldemedhen, Santiago Clocchiatti-Tuozzo, Cyprien Rivier, Shufan Huo, Andrew Silberfeld, Tim D'Aoust, Stephanie Debette, Adam de Havenon, Thomas M Gill, Guido J Falcone

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

10 authors.

Yome TawaldemedhenDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Santiago Clocchiatti-TuozzoDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Cyprien RivierDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Shufan HuoDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Andrew SilberfeldDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Tim D'AoustBordeaux Population Health Center, INSERM, UMR U1219, University of Bordeaux, Bordeaux, France.
Stephanie DebetteBordeaux Population Health Center, INSERM, UMR U1219, University of Bordeaux, Bordeaux, France.
Adam de HavenonDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Thomas M GillDivision of Geriatric Medicine, Yale School of Medicine, New Haven, CT, USA.
Guido J FalconeDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-6407-0302

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Lauren Ferrante · 2002 to 2026
$37.9M
Anticoagulation in ICH Survivors for Prevention and Recovery (ASPIRE)U01NS106513 · NINDS · YALE UNIVERSITY · PI Hooman Kamel, Kevin Navin Sheth · 2019 to 2026
$20.6M
REACH-EpiVCIDRF1NS139183 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI ANDERSON, CHRISTOPHER DAVID, ROSAND, JONATHAN · 2024 to 2024
$2.4M
Integrating Clinical Knowledge: A Multimodal AI System for Reliable Head CT Understanding and InterpretationR01EB036501 · NIBIB · HARVARD MEDICAL SCHOOL · PI Pranav Rajpurkar · 2025 to 2026
$1.4M
Anticoagulation in Intracerebral Hemorrhage Survivors with Atrial Fibrillation and Imaging Features of Cerebral Amyloid Angiopathy and Small Vessel DiseaseR01NS140459 · NINDS · YALE UNIVERSITY · PI Guido Jose Falcone, Santosh Bhaskar Murthy · 2025 to 2026
$1.2M
NIA NIH HHS P30 AG021342NIA NIH HHS U01 AG009740NIBIB NIH HHS R01 EB036501NINDS NIH HHS R01 NS140459NINDS NIH HHS RF1 NS139183NINDS NIH HHS U01 NS106513
6 · The paper itself

Abstract

Objective: To determine whether a multi-trait polygenic profile for dementia is associated with dementia- and disability-free survival in middle-aged and older adults. Background: Clinical trials of brain health and aging increasingly use holistic, patient-centered outcomes that capture overall health status. Survival free of dementia and disability is one such outcome. We hypothesized that adverse polygenic profiles for dementia would be associated with higher risk of dementia, disability, or death. Design/Methods: We conducted a genetic association study within the Health and Retirement Study, a prospective, nationally representative longitudinal cohort of U.S. adults. Polygenic profiling used the previously validated integrated polygenic risk score for dementia (iPRS-DEM), which incorporates neurodegenerative and vascular genetic components. Participants were categorized as having favorable (≤20th percentile), intermediate (20th-80th percentile), or poor (>80th percentile) polygenic profiles. The primary outcome was a composite of dementia, disability, or death. Cox proportional hazards models were adjusted for age, sex, genetic ancestry, and genetic principal components. Interaction between continuous iPRS-DEM and APOE ε4 status was assessed for 31-year outcome risk. Results: Among 45,234 HRS participants, 15,620 provided DNA samples, 15,565 had genotype data after quality control and imputation, and 14,333 were free of dementia and disability at baseline (median age 55 years; 58% female). Compared with a favorable polygenic profile, intermediate and poor profiles were associated with higher risk of the composite outcome (HR 1.14, 95% CI 1.07-1.21 and HR 1.43, 95% CI 1.26-1.63, respectively). The relative association was strongest for dementia; for poor versus favorable profiles, HRs were 1.58 (95% CI 1.21-2.05) for dementia, 1.43 (95% CI 1.14-1.79) for disability, and 1.33 (95% CI 1.15-1.54) for death. An interaction between continuous iPRS-DEM and APOE ε4 status was observed for 31-year dementia risk (P=0.016). Relative to favorable-profile APOE ε4 non-carriers, dementia risk was highest among participants with a poor profile who were APOE ε4 carriers (HR 2.32, 95% CI 1.73-3.12). Conclusions: Adverse polygenic profiles for dementia were associated with higher composite risk of dementia, disability, or death in a large population-based cohort, with the strongest association observed for dementia. Joint consideration of iPRS-DEM and APOE ε4 further identified individuals at elevated dementia risk. These findings support the potential value of polygenic profiling for risk stratification while highlighting limitations related to ancestry, generalizability, and clinical translation.

Identifiers

PMID42818935
PMCPMC13622800

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