Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jul 21;11(4):e200266.
doi: 10.1212/NXG.0000000000200266. eCollection 2025 Aug.

Combating Genetic Heterogeneity for Polygenic Prediction of Susceptibility to Brain β-Amyloid Deposition: Beyond APOE

Affiliations

Combating Genetic Heterogeneity for Polygenic Prediction of Susceptibility to Brain β-Amyloid Deposition: Beyond APOE

Vijay K Ramanan et al. Neurol Genet. .

Abstract

Background and objectives: The APOE (apolipoprotein E) ε4 allele is the strongest known genetic risk factor for sporadic Alzheimer disease (AD) and for brain amyloidosis, an early marker of disease pathophysiology. However, APOE ε4 is present in only 25% of the general population and is by itself inadequate for explaining susceptibility to amyloid accumulation or AD diagnosis. Existing studies have been limited by potential confounding due to inclusion of individuals carrying APOE ε4 or ε2 (which has a modest protective association). We hypothesized that genome-wide association study (GWAS) and genetic risk score (GRS) analyses in APOE ε3/ε3 individuals would uniquely identify novel predictors of β-amyloid pathology in older adults.

Methods: We analyzed data from the Mayo Clinic Study of Aging (MCSA), Alzheimer's Disease Neuroimaging Initiative (ADNI), and Rush Religious Orders Study and Memory and Aging Project. Frequency of APOE ε3/ε3 in those samples ranged from 48% to 61%. A GWAS was performed across 1,496 individuals with amyloid PET to identify candidate variants for GRS generation. Postmortem neuropathologic data (N = 710) were used to refine the variant list to capture high-likelihood true associations. An independent sample (N = 641) with plasma p-tau181 data was used for validation.

Results: The GWAS identified previously implicated (e.g., PICALM and RBFOX1) and novel potential associations with amyloid PET burden. A non-APOE GRS of top variants was strongly associated with amyloid PET levels in the MCSA (p = 4.34 × 10-9, β = 5.88) and ADNI (p = 1.87 × 10-8, β = 12.1) cohorts. In both cohorts, this non-APOE amyloid GRS outperformed a comparator GRS (based on variants associated with clinically diagnosed AD dementia risk) in explaining phenotypic variation. The non-APOE amyloid GRS was also associated with postmortem neuropathologic β-amyloid and neurofibrillary tangle burden and in an independent sample was associated with plasma p-tau181 concentrations (a robust indicator of cerebral amyloidosis).

Discussion: Our non-APOE amyloid GRS, which appropriately includes variants associated with amyloid deposition in APOE ɛ4/ɛ2 noncarriers, may advance personalized prediction of genetic susceptibility to β-amyloid accumulation within the large segment of the population that is APOE ε3/ε3. This may have future implications for risk modification, trial enrollment, and treatment selection.

PubMed Disclaimer

Conflict of interest statement

V.K. Ramanan has received research funding from the NIH and the Mangurian Foundation for Lewy Body disease research, has provided educational content for Medscape, Expert Perspectives in Alzheimer's Disease, and Roche/ADLM, has received speaker and conference session honoraria from the American Academy of Neurology Institute, is PI for a clinical trial supported by the Alzheimer's Association, is site co-PI for the Alzheimer's Clinical Trials Consortium, and is a site clinician for clinical trials supported by Eisai, the Alzheimer's Treatment and Research Institute at USC, and Transposon Therapeutics, Inc. P. Vemuri receives research support from the NIH. J. Graff-Radford receives research support from the NIH. V.J. Lowe consults for Bayer Schering Pharma, Piramal Life Sciences, Life Molecular Imaging, Eisai Inc., AVID Radiopharmaceuticals, and Merck Research and receives research support from GE Health care, Siemens Molecular Imaging, AVID Radiopharmaceuticals, and the NIH. M.E. Murray served as a consultant for AVID Radiopharmaceuticals. M.E. Machulda receives research support from NIH. R.C. Petersen serves as a consultant for Roche Inc., Merck Inc., and Biogen, Inc., serves on the Data Safety Monitoring Board for Genentech, Inc., and receives royalty from Oxford University Press and UpToDate. D.S. Knopman serves on a Data Safety Monitoring Board for the DIAN study, serves on a Data Safety Monitoring Board for Biogen but receives no personal compensation, is an investigator in clinical trials sponsored by Biogen, Lilly Pharmaceuticals, and the University of Southern California, and serves as a consultant for Roche, Samus Therapeutics, Third Rock and Alzeca Biosciences but receives no personal compensation. C.R. Jack receives no personal or institutional compensation from any commercial entity. He receives research support from NIH, GHR Foundation, and the Alexander Family Alzheimer's Disease Research Professorship of the Mayo Clinic. D.A. Bennett receives research support from the NIH. The remaining authors report no relevant financial disclosures. Go to Neurology.org/NG for full disclosures.

Figures

Figure 1
Figure 1. Summary of Study Design
A flowchart describes the overall study design and the analytical phases for generating and validating the non-APOE amyloid genetic risk score (GRS). Created in BioRender. MD, V. (2025) BioRender.com/qri2rns.
Figure 2
Figure 2. Manhattan Plot of GWAS Meta-Analysis of Amyloid PET in APOE ε3/ε3 Participants
Observed -log10 p values are displayed (y-axis) for all SNVs tested in the GWAS meta-analysis of amyloid PET burden across APOE ε3/ε3 participants from the MCSA and ADNI cohorts (total N = 1,496). No genome-wide significant associations (p < 5 × 10−8) were identified (red line). A total of 8 independent loci displayed suggestive association p < 5 × 10−6 (blue line) in the meta-analysis, with top findings annotated in the figure. ADNI = Alzheimer's Disease Neuroimaging Initiative; GWAS = genome-wide association study; MCSA = Mayo Clinic Study of Aging.
Figure 3
Figure 3. Hypothetical Model of Tiered Genetic Testing for Risk Stratification in the Population
A conceptual model is presented demonstrating how genetic testing may be used in future clinical practice to guide individuals on risk of developing brain amyloidosis. In this hypothetical model, individuals carrying APOE ɛ4 (the strongest known individual genetic risk factor of brain amyloidosis) would be counseled on its implications and directed to potential therapeutic interventions or prevention trials. For most of the general population who do not carry APOE ε4, the non-APOE amyloid GRS would be used to stratify individuals into those who may still be at high risk of brain amyloidosis (despite being APOE ε4 negative) vs those for whom non-Alzheimer paths to future cognitive decline would be prioritized for consideration.

Comment in

  • Neurol Genet. 11:e200284.

Similar articles

References

    1. Liu CC, Liu CC, Kanekiyo T, Xu H, Bu G. Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy. Nat Rev Neurol. 2013;9(2):106-118. doi: 10.1038/nrneurol.2012.263 - DOI - PMC - PubMed
    1. Mattsson N, Groot C, Jansen WJ, et al. Prevalence of the apolipoprotein E ε4 allele in amyloid β positive subjects across the spectrum of Alzheimer's disease. Alzheimers Dement. 2018;14(7):913-924. doi: 10.1016/j.jalz.2018.02.009 - DOI - PubMed
    1. Ramanan VK, Risacher SL, Nho K, et al. APOE and BCHE as modulators of cerebral amyloid deposition: a florbetapir PET genome-wide association study. Mol Psychiatry. 2014;19(3):351-357. doi: 10.1038/mp.2013.19 - DOI - PMC - PubMed
    1. Choudhury P, Ramanan VK, Boeve BF. APOE varepsilon4 allele testing and risk of Alzheimer disease. JAMA. 2021;325(5):484-485. doi: 10.1001/jama.2020.15085 - DOI - PubMed
    1. Castellano JM, Kim J, Stewart FR, et al. Human APOE isoforms differentially regulate brain amyloid-beta peptide clearance. Sci Transl Med. 2011;3(89):89ra57. doi: 10.1126/scitranslmed.3002156 - DOI - PMC - PubMed

LinkOut - more resources