TY - JOUR
T1 - Novel early-onset Alzheimer-associated genes influence risk through dysregulation of glutamate, immune activation, and intracellular signaling pathways
AU - Alzheimer's Disease Genetics Consortium (ADGC), Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight-ADRC)
AU - Bradley, Joseph
AU - Pottier, Cyril
AU - da Fonseca, Eder Lucio
AU - Kurup, Jiji Thulaseedhara
AU - Western, Daniel
AU - Wang, Ciyang
AU - Neupane, Achal
AU - Ray, Nicholas R.
AU - Jean-Francois, Melissa
AU - Ali, Muhammad
AU - Timsina, Jigyasha
AU - Bergmann, Kristy
AU - Budde, John
AU - Martin, Eden R.
AU - Pericak-Vance, Margaret A.
AU - Cuccaro, Michael
AU - Naj, Adam C.
AU - Kunkle, Brian W.
AU - Schellenberg, Gerard D.
AU - Fernandez, Victoria
AU - Haines, Jonathan
AU - Morris, John C.
AU - Holtzman, David M.
AU - Perrin, Richard J.
AU - Reitz, Christiane
AU - Beecham, Gary W.
AU - Cruchaga, Carlos
N1 - Publisher Copyright:
© 2025 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.
PY - 2025/6
Y1 - 2025/6
N2 - INTRODUCTION: Most genetic studies for Alzheimer's disease (AD) have been focused on late-onset AD (LOAD). There are no large genetic studies on early-onset AD (EOAD). METHODS: We performed a multi-ancestry (non-Hispanic European, African, and East Asian) genome-wide association study (GWAS) including a total of 7,349 cases and 17,887 control. Cases with age at onset younger than 70 years were included. Sensitivity analysis including cases with onset <65 was performed. Only controls older than 70 were included to decrease the risk of developing LOAD. RESULTS: We identified eight novel significant loci: six in the ancestry-specific analyses and two in the trans-ancestry analysis. By integrating gene-based analysis, expression quantitative trait loci (eQTL), protein quantitative trait loci (pQTL), and functional annotations, we nominate eight novel genes that are involved in microglia activation, glutamate production, and signaling pathways. DISCUSSION: EOAD, although sharing genes with LOAD, harbors unique genes and pathways that could be used to create better prediction models or target identification. Highlights: We performed the largest and first multi-ethnic genetic screening for early-onset Alzheimer's disease (AD). We identified eight novel significant loci: six in the ancestry-specific analyses and two in the trans-ancestry analysis. The novel genes are implicated microglia activation, glutamate production, and signaling pathways. EOAD, although sharing many genes with LOAD, harbors unique genes and pathways that could be used to create better prediction models or target identification for this type of AD.
AB - INTRODUCTION: Most genetic studies for Alzheimer's disease (AD) have been focused on late-onset AD (LOAD). There are no large genetic studies on early-onset AD (EOAD). METHODS: We performed a multi-ancestry (non-Hispanic European, African, and East Asian) genome-wide association study (GWAS) including a total of 7,349 cases and 17,887 control. Cases with age at onset younger than 70 years were included. Sensitivity analysis including cases with onset <65 was performed. Only controls older than 70 were included to decrease the risk of developing LOAD. RESULTS: We identified eight novel significant loci: six in the ancestry-specific analyses and two in the trans-ancestry analysis. By integrating gene-based analysis, expression quantitative trait loci (eQTL), protein quantitative trait loci (pQTL), and functional annotations, we nominate eight novel genes that are involved in microglia activation, glutamate production, and signaling pathways. DISCUSSION: EOAD, although sharing genes with LOAD, harbors unique genes and pathways that could be used to create better prediction models or target identification. Highlights: We performed the largest and first multi-ethnic genetic screening for early-onset Alzheimer's disease (AD). We identified eight novel significant loci: six in the ancestry-specific analyses and two in the trans-ancestry analysis. The novel genes are implicated microglia activation, glutamate production, and signaling pathways. EOAD, although sharing many genes with LOAD, harbors unique genes and pathways that could be used to create better prediction models or target identification for this type of AD.
KW - ADGC
KW - Alzheimer's disease risk
KW - GWAS
KW - early onset Alzheimer's disease
KW - gene-mapping
KW - genetic ancestry
KW - late onset Alzheimer's disease
KW - meta-analysis
KW - multi-ancestry
UR - https://www.scopus.com/pages/publications/105009804825
U2 - 10.1002/alz.70377
DO - 10.1002/alz.70377
M3 - Article
C2 - 40556318
AN - SCOPUS:105009804825
SN - 1552-5260
VL - 21
JO - Alzheimer's and Dementia
JF - Alzheimer's and Dementia
IS - 6
M1 - e70377
ER -