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Genetic correlation analysis identifies TMEM106B, ACE, and ERC2 as genetic loci shared between Alzheimer's disease and primary psychiatric disorders
Journal article   Open access   Peer reviewed

Genetic correlation analysis identifies TMEM106B, ACE, and ERC2 as genetic loci shared between Alzheimer's disease and primary psychiatric disorders

Ajneesh Kumar, Nicholas R Ray, Jiji T Kurup, Pamela Del Rosario, Masood Manoochehri, Colin Stein, Alyssa N De Vito, Brenna Cholerton, Robert A Sweet, Phil L de Jager, …
Alzheimer's & dementia, Vol.22(3), p.e71278
2026-03-01
PMID: 41823034

Abstract

Alzheimer Disease - genetics Genetic Loci - genetics Genetic Predisposition to Disease Genome-Wide Association Study Humans Membrane Proteins - genetics Mental Disorders - genetics Nerve Tissue Proteins - genetics Peptidyl-Dipeptidase A Polymorphism, Single Nucleotide - genetics Schizophrenia - genetics
Neuropsychiatric symptoms (NPSs) occur in up to 85% of Alzheimer's disease (AD) cases. Current treatments - repurposed from psychiatric disorders despite limited understanding of etiologic overlap - are often ineffective. To characterize the genetic overlap between AD and major psychiatric disorders and identify shared molecular pathways, we conducted genetic correlation analyses between AD and depression, schizophrenia, bipolar disorder, and anxiety using MiXeR and Local Analysis of [co]Variant Annotation with genome wide association studies (GWAS) summary statistics (AD: n = 487,511; bipolar disorder: n = 413,466; depression: n = 1,154,267; schizophrenia: n = 130,644; anxiety: n = 1,096,458). Local genetic correlation analyses followed by fine mapping and functional analyses identified a missense variant in TMEM106B (rs3173615) shared between AD and depression and anxiety, a regulatory region variant in ACE (rs4292) shared between AD/schizophrenia, and two nonsense-mediated mRNA decay transcript variants in ERC2 (rs17288728; rs815460) shared between AD/anxiety. The specific molecular pathways associated with these variants provide critical information on shared etiologic components underlying these traits and inform development of improved therapeutic targets.
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https://doi.org/10.1002/alz.71278View
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