Evidence map›Paper›PMID 41965633›Full record

ArticleBMC medical genomics2026

Downward bias in the association between APOE and Alzheimer's disease using prevalent and by-proxy disease sampling in the All of Us research program.

Clayton O Mansel, Valentina Ghisays, Jonathan D Mahnken, Russell H Swerdlow, Eric M Reiman, Jason H Karnes, Joshua C Denny, Olivia J Veatch

Abstract read
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Article in BMC medical genomics, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Clayton O ManselDepartment of Cell Biology and Physiology, University of Kansas Medical Center, G011 Wahl Hall East, Mail Stop 3043, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA. cmansel@kumc.edu.
Valentina GhisaysBanner Alzheimer's Institute, Phoenix, AZ, USA.
Jonathan D MahnkenDepartment of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
Russell H SwerdlowAlzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, USA.
Eric M ReimanBanner Alzheimer's Institute, Phoenix, AZ, USA.
Jason H KarnesDepartment of Pharmacy Practice and Science, R. Ken Coit College of Pharmacy, University of Arizona, Tucson, AZ, 85721, USA.
Joshua C DennyCenter for Precision Health Research, National Human Genome Research Institute, National Institute of Health, Bethesda, MD, USA.
Olivia J VeatchDepartment of Cell Biology and Physiology, University of Kansas Medical Center, G011 Wahl Hall East, Mail Stop 3043, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.

Funding

University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
University of Kansas Alzheimer's Disease Research Center (KU ADRC)P30AG072973 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Mohammad Haeri · 2021 to 2026
$25.3M
University of Kansas Alzheimer's Disease Core CentersP30AG035982 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BROOKS, WILLIAM M. · 2011 to 2020
$16.6M
Improving precision health approaches through large-scale EHRs and biobanksZIAHG200417 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI DENNY, JOSHUA · 2022 to 2024
$4.2M
Precision Medicine for All of Us Researchers Collective Medicine de Precision: Colectivo de Investigadores Salud para TodosOT2OD036485 · OD · UNIVERSITY OF ARIZONA · PI KARNES, JASON HANSEN, MORENO, FRANCISCO A · 2023 to 2025
$2.6M
Leveraging the Microbiome, Local Admixture, and Machine Learning to Optimize Anticoagulant Pharmacogenomics in Medically Underserved PatientsR01HL158686 · NHLBI · UNIVERSITY OF ARIZONA · PI KARNES, JASON HANSEN · 2021 to 2025
$2.2M
ABO and Immunogenetic Variation in the Pathogenesis of Heparin-Induced ThrombocytopeniaR01HL156993 · NHLBI · UNIVERSITY OF ARIZONA · PI KARNES, JASON HANSEN · 2022 to 2025
$2.0M
NHLBI NIH HHS R01 HL156993NHLBI NIH HHS R01 HL158686NIH HHS 1OT2OD026549NIH HHS OT2 OD026549NIH HHS OT2 OD036485NIH HHS P30 AG035982NIH HHS P30 AG072973NIH HHS ZIA HG200417
6 · The paper itself

Abstract

backgroundRecent genome-wide association studies for Alzheimer’s Disease and related dementias (ADRD) have increased statistical power via larger analysis datasets from biobanks by (1) including non-age-matched controls and prevalent cases, and/or (2) including individuals who report a family history of ADRD as proxy cases. However, these methods have the potential to increase noise and distort genetic associations which are important for genomic-informed prevention and treatment of ADRD. Here, we sought to understand how the effect sizes of genetic associations in ADRD could be sensitive to these methodological choices, using APOE genotypes as an example.

methodsParticipants in the All of Us Research Program over the age of 49 at enrollment (n = 229,722) were assigned one of four categories: incident ADRD (developed after enrollment in All of Us), prevalent ADRD (present on enrollment), proxy ADRD (participant noted a family history of ADRD), and control (no history or diagnosis of ADRD). ADRD diagnoses were determined using available electronic health records and APOE genotype was determined using whole-genome sequencing. Effect sizes for the associations between APOE risk alleles and ADRD diagnoses were compared using polychotomous logistic regression and presented as adjusted generalized ratios (AGR).

resultsThe mean age of the cohort was 64 ± 9 years, and it was 57% female; 65% clustered predominantly with European genetic reference populations. Among the participants, 733 (0.3%) had prevalent ADRD, 684 (0.3%) had incident ADRD, and 19,186 (8.4%) reported a family history of ADRD (proxy ADRD). The effect size for APOE ε4 heterozygote was similar for proxy ADRD (AGR [95% CI]: 2.10 [1.96–2.24]) but attenuated for prevalent ADRD (1.38 [1.17–1.63]) compared to incident ADRD (2.13 [1.81–2.50]). For APOE ε4 homozygotes, the effect sizes were significantly attenuated in both proxy (3.53 [2.93–4.26]) and prevalent (3.12 [2.20–4.45]) ADRD. Furthermore, APOE and ADRD association effect sizes increased when restricting the control (no ADRD) group to older age brackets.

conclusionsOur study highlights how genetic associations with ADRD can be sensitive to how cases are defined in biobanks like All of Us, with effect sizes downwardly biased when using prevalent or by-proxy cases compared to incident cases.

Indexed as

Alzheimer DiseaseApolipoproteins EGenetic Predisposition to DiseaseAgedBiasFemaleGenome-Wide Association StudyGenotypeHumansMiddle AgedPrevalenceUnited StatesApolipoproteins EAlzheimer’s DiseaseAPOEBiobankIncidencePrevalenceProxy case

Identifiers

PMID41965633
PMCPMC13191872

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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.