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 7;148(7):2429-2440.
doi: 10.1093/brain/awaf038.

The landscape of autosomal-dominant Alzheimer's disease: global distribution and age of onset

Affiliations

The landscape of autosomal-dominant Alzheimer's disease: global distribution and age of onset

Haiyan Liu et al. Brain. .

Abstract

We present a comprehensive global analysis of genetic variants associated with autosomal-dominant Alzheimer's disease (ADAD). A total of 550 variants in the APP, PSEN1 and PSEN2 genes were identified, of which 279 were classified as pathogenic or likely pathogenic based on American College of Medical Genetics and Genomics and the Association for Molecular Pathology criteria, utilizing data from the Dominantly Inherited Alzheimer Network (DIAN), literature and public databases. Symptomatic age at onset (AAO) data were estimated for 227 of these variants, allowing detailed characterization of their frequency, pathogenicity and AAO. Importantly, 226 variants met eligibility criteria for inclusion in disease-modifying clinical trials. Furthermore, we demonstrated the predictive value of mean variant AAO and parental AAO in predicting symptomatic AAO, validated against converters who became symptomatic during follow-up in the DIAN Observational Study. This dataset provides critical insights into the global landscape of ADAD and reveals the genetic and AAO heterogeneity of ADAD variants while refining variant trial eligibility criteria.

Keywords: amyloid precursor protein; pathogenicity; presenilin-1; presenilin-2; prevalence.

PubMed Disclaimer

Conflict of interest statement

J.C.M. is the Friedman Distinguished Professor of Neurology, Director, Knight ADRC; Associate Director of DIAN and Founding Principal Investigator of DIAN. He is funded by NIH grants P30 AG066444; P01 AG003991; P01 AG026276; U19 AG032438 and U19 AG024904. Neither J.C.M. nor his family owns stock or has equity interest (outside of mutual funds or other externally directed accounts) in any pharmaceutical or biotechnology company. J.H. is a paid consultant for F. Hoffmann-La Roche, Ltd., Takeda and Lundbeck, and is on the Data Safety and Monitoring Board for Eisai. C.C. receives research support from: Biogen, EISAI, Alector and Parabon. The funders of the study had no role in the collection, analysis or interpretation of data; in the writing of the report; or in the decision to submit the paper for publication. C.C. is a member of the advisory board of Vivid Genetics, Halia Therapeutics and Adx Healthcare. R.J.B. is the Director of the DIAN-TU and Principal Investigator of the DIAN-TU-001. He receives research support from the NIH-NIA, DIAN-TU Trial Pharmaceutical Partners (Eli Lilly and Company, F. Hoffman-La Roche, Ltd. and Avid Radiopharmaceuticals), Alzheimer’s Association, GHR Foundation, Anonymous Organization, DIAN-TU Pharma Consortium (active: Biogen, Eisai, Eli Lilly and Company, Janssen, F. Hoffmann-La Roche, Ltd./Genentech, United Neuroscience. Previous: AbbVie, Amgen, AstraZeneca, Forum, Mithridion, Novartis, Pfizer, Sanofi). He has been an invited speaker and consultant for AC Immune, F. Hoffman La Roche, Ltd., and Janssen and a consultant for Amgen and Eisai. A.E.D. reports no competing interests. He receives research support for this work from the NIA (R01AG053267, U19AG032438). T.I. reports no competing interests. He received research support for this work from Agency for Medical Research and Development (AMED) (JP23dk0207066 and JP23dk0207060). G.S.D. reports no competing interests that are directly relevant to this work. His research is supported by NIH (K23AG064029, U01AG057195, U01NS120901, U19AG032438) and the Chan Zuckerberg Initiative. He serves as a consultant for Parabon Nanolabs Inc. and as a Topic Editor (Dementia) for DynaMed (EBSCO). He is the co-Project Principal Investigator for a clinical trial in anti-NMDAR encephalitis, which receives support from Horizon Pharmaceuticals. He has developed educational materials for PeerView Media, Inc. and Continuing Education Inc. He owns stock in ANI pharmaceuticals. G.S.D.’s institution has received support from Eli Lilly for development and participation in an educational event promoting early diagnosis of symptomatic Alzheimer disease, and in-kind contributions of radiotracer precursors for tau-PET neuroimaging in studies of memory and ageing (via Avid Radiopharmaceuticals, a wholly-owned subsidiary of Eli Lilly). C.H.vD. receives research support from the NIH-NIA, Biogen, Eisai, Eli Lilly and Co., Janssen, F. Hoffmann-La Roche, Ltd./Genentech, UCB and Cerevel. He serves as a consultant for F. Hoffman La Roche, Ltd., Eisai, Ono and Cerevel. E.M.M. receives grant funding from NIA; institutional funding from Eli Lilly, Hoffmann-La Roche, Eisai. He is a Data and Safety Monitoring Board member (paid directly) for Alector; Eli Lilly; a Scientific Advisory Board Member (paid directly) for Alzamend, Fondation Alzheimer. He acts as a consultant/advisor for Sage Therapeutics, Eli Lilly, Sanofi, AstraZeneca, Hoffmann La-Roche. N.C.F. reports consulting fees from Biogen, Eisai, Ionis, Lilly, Roche/Genentech and Siemens paid to UCL; he has served on a Data Safety Monitoring Board for Biogen. He acknowledges grant support from the Alzheimer’s Society, Alzheimer’s Research UK, Rosetrees Trust, the Sigrid Rausing Trust, the UK Dementia Research Institute and the UK NIHR UCLH Biomedical Research Centre. S.B.B. reports no competing interests relevant to this work. Her research is supported by the NIH and the Michael J. Fox Foundation. J.L.l.G.’s research is supported by NIH-NIA (K01AG073526), the Alzheimer’s Association (AARFD-21-851415, SG-20-690363), the Michael J. Fox Foundation (MJFF-020770), the Foundation for Barnes-Jewish Hospital and the McDonnell Academy. J.L. and J.H.R. receive research support for this work from the Korea Dementia Research Project through the Korea Dementia Research Center (KDRC), funded by the Ministry of Health & Welfare and Ministry of Science and ICT, Republic of Korea (RS-2024-00344521). T.L.S.B. has investigator-initiated research funding from the NIH, the Alzheimer’s Association, the Barnes-Jewish Hospital Foundation and Avid Radiopharmaceuticals. T.L.S.B. participates as a site investigator in clinical trials sponsored by Avid Radiopharmaceuticals, Eli Lilly and Company, Biogen, Eisai, Jaansen and F. Hoffmann-La Roche, Ltd. She also serves as an unpaid consultant to Eisai and Siemensand is on the Speaker’s Bureau for Biogen. R.J.P. is Neuropathology Core Leader for the DIAN observational study and the DIAN Trials Unit. He receives research support for this work from the NIA (U19 AG032438, U19AG032438-09S1, R01AG068319). His laboratory receives cost recovery funding from Biogen for tissue procurement and processing services related to amyotrophic lateral sclerosis clinical trials. Neither he nor his family owns stock or has equity interest (outside of mutual funds or other externally directed accounts) in any pharmaceutical or biotechnology company. C.X. is supported by NIA grants R01 AG067505 and R01 AG053550. The other authors report no competing interests.

Figures

Figure 1
Figure 1
Systematic review flow chart. Flow chart outlines the sequential steps in the systematic literature review.
Figure 2
Figure 2
Dominantly Inherited Alzheimer Network–Trials Unit (DIAN-TU) algorithm to classify variant trial eligibility. Algorithm to assess eligibility for DIAN-TU trials. This model was modified from a previously proposed algorithm., GnomAD frequency is used to determine whether APP, PSEN1 and PSEN2 variants represent rare or common polymorphisms. Autosomal-dominant Alzheiemer's disease (ADAD) pathogenic variant PSEN1 A79 V allele frequency is used as a cut-off reference to define rare variants. Additional supportive criteria include: (a) whether other variants at the same residue have previously been confirmed as pathogenic; (b) whether a given presenilin variant is at a residue conserved between PSEN1 and PSEN2; (c) the number of unrelated families in which the variant is present at a consistent age at onset and evidence of AD biomarkers; (d) the number of generations with early-onset AD (<65 years); and (e) in silico predictions (CADD, REVEL score or comparable computational score). **The presence of multiple affected family members is considered supportive evidence but not required for variant review or trial inclusion. APP, PSEN1 and PSEN2 de novo variants are also assessed for pathogenicity by the Clinical-Genetic Committee using the DIAN algorithm. Families that exhibit multigenerational incidences of biomarker-confirmed Alzheimer’s dementia and age of onset under 40 years are automatically deemed eligible for inclusion in the trial while additional evidence is systematically gathered. CADD = Combined Annotation Dependent Depletion; REVEL = rare exome variant ensemble learne; GnomAD = Genome Aggregation Database.
Figure 3
Figure 3
Global distribution of pathogenic autosomal-dominant Alzheimer's disease variants. Number of pathogenic variants in APP, PSEN1 or PSEN2 by country. The map displays PSEN1 variants in green, APP variants in yellow and PSEN2 variants in red. The colours indicate the presence of different genetic variants among various countries but not the distribution within each country. The count of variants within individual genes is represented numerically.
Figure 4
Figure 4
Individual symptomatic age at onset (AAO) versus variant AAO and accuracy assessment of AAO.  Top: Each affected individual participant’s symptomatic AAO (n = 2110) on the y-axis, plotted against values predicted from variant AAO on the x-axis. Top left: All individuals combined, regardless of gene type. Data points are coloured/shaped according to each variant for autosomal-dominant Alzheimer’s disease. Top right: All individuals according to gene (PSEN1, PSEN2, APP). Bottom left: Relationship between converter and variant AAO, and (bottom right) between converter and parental AAO. Blue filled squares = PSEN1; red filled circles = PSEN2; green filled triangles = APP. Regression lines and adjusted R2 values show the strength of the association between individual AAO and variant AAO. Converters are participants who transitioned from being asymptomatic to symptomatic during follow-up in the Dominantly Inherited Alzheimer Nework observational study.

References

    1. Kumar A, Sidhu J, Goyal A, Tsao JW. Alzheimer Disease. StatPearls [Internet]: StatPearls Publishing; 2022.. https://www.ncbi.nlm.nih.gov/books/NBK499922/.
    1. Dai M-H, Zheng H, Zeng L-D, Zhang Y. The genes associated with early-onset Alzheimer’s disease. Oncotarget. 2017;9:15132–15143. - PMC - PubMed
    1. Sherrington R, Rogaev EI, Liang Y, et al. Cloning of a gene bearing missense mutations in early-onset familial Alzheimer’s disease. Nature. 1995;375:754–760. - PubMed
    1. Levy-Lahad E, Wijsman EM, Nemens E, et al. A Familial Alzheimer’s Disease Locus on Chromosome 1. Science. 1995; 269:970–973. - PubMed
    1. Rogaev EI, Sherrington R, Rogaeva EA, et al. Familial Alzheimer’s disease in kindreds with missense mutations in a gene on chromosome 1 related to the Alzheimer’s disease type 3 gene. Nature. 1995;376:775–778. - PubMed