Back

Classification of ACE variants related to Alzheimer's disease (AD): the ACE mutations -- AD browser

Buianova, A. A.; Adzhubei, I. A.; Buianov, P. A.; Kryukova, O. V.; Kost, O. A.; Kuznetsov, M. I.; Dudek, S. M.; Rebrikov, D. V.; Danilov, S. M.

2026-08-11 genetic and genomic medicine
10.64898/2026.08.09.26360046 medRxiv
Show abstract

Background: ACE variants are genetic risk factors for Alzheimer's disease (AD), potentially through reduced enzymatic activity and impaired amyloid {beta} hydrolysis. Objectives: To create a publicly available database of ACE variants relevant to ACE deficiency and AD, and to estimate the population frequency of damaging ACE variants and their impact on blood ACE levels. Methods: ACE variants were compiled from literature, public databases (VarSome, dbSNP, ClinVar, gnomAD), and sequencing data (WES/WGS) from 5147 Russian individuals. Variants were classified using a consensus in silico score (AlphaMissense, MetaRNN, EVE). Blood ACE levels were measured in 330 carriers of 64 different ACE mutations. Results: We identified 1682 unique ACE variants. Of these, 608 (36.2%) were classified as functionally damaging, including 17 signal peptide, 210 loss of function, and 381 missense variants. The estimated carrier frequency of damaging ACE variants was 2 % (1/50). Notably, 24 variants associated with experimentally confirmed reductions in blood ACE levels had a combined estimated carrier frequency of 3.9 % in the general population, calculated from cumulative gnomAD v4.1.0 allele frequencies under a rare-variant independence model. An open-access browser is available at https://ace-browser.com/. Conclusions: Variants associated with reduced blood ACE levels were estimated to be carried by approximately 1 in 25 individuals in the general population. This frequency is of the same order of magnitude as the 13.2% prevalence of Alzheimer's dementia in individuals aged 75-84 years (Alzheimer's Association, 2025), consistent with the hypothesis that ACE deficiency may represent an underrecognized contributor to late-onset AD susceptibility. The ACE mutations-AD browser and integrated genotype-phenotype data presented here provide a novel resource for future basic, translational, and clinical research on ACE-dependent AD.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.