Systems Genetic Identification of Mitochondrion-Associated Alzheimer’s Disease Genes and Implications for Disease Risk Prediction

Abstract

Cumulative evidence has revealed the association between mitochondrial dysfunction and Alzheimer’s disease (AD). Because the number of mitochondrial genes is very limited, the mitochondrial pathogenesis of AD must involve certain nuclear genes. In this study, we employed systems genetic methods to identify mitochondrion-associated nuclear genes that may participate in the pathogenesis of AD. First, we performed a mitochondrial genome-wide association study (MiWAS, n = 809) to identify mitochondrial single-nucleotide polymorphisms (MT-SNPs) associated with AD. Then, epistasis analysis was performed to examine interacting SNPs between the mitochondrial and nuclear genomes. Weighted co-expression network analysis (WGCNA) was applied to transcriptomic data from the same sample (n = 743) to identify AD-related gene modules, which were further enriched by mitochondrion-associated genes. Using hub genes derived from these modules, random forest models were constructed to predict AD risk in four independent datasets (n = 743, n = 542, n = 161, and n = 540). In total, 9 potentially significant MT-SNPs and 14,340 nominally significant MT-nuclear interactive SNPs were identified for AD, which were validated by functional analysis. A total of 6 mitochondrion-related modules involved in AD pathogenesis were found by WGCNA, from which 91 hub genes were screened and used to build AD risk prediction models. For the four independent datasets, these models perform better than those derived from AD genes identified by genome-wide association studies (GWASs) or differential expression analysis (DeLong’s test, p < 0.05). Overall, through systems genetics analyses, mitochondrion-associated SNPs/genes with potential roles in AD pathogenesis were identified and preliminarily validated, illustrating the power of mitochondrial genetics in AD pathogenesis elucidation and risk prediction.

The Alzheimer's Disease Neuroimaging Initiative in the era of Alzheimer's disease treatment: A review of ADNI studies from 2021 to 2022

“…Significant mitochondrial pathways were mitochondrial transport, hallmark oxidative phosphorylation, and response to oxidative stress. A GWAS of mitochondrion‐associated genes and subsequent epistasis analysis identified six modules of nuclear genes associated with AD pathogenesis that interacted with mitochondrial genes 201 . Top hub genes identified through network analysis were involved in synaptic function, signaling pathways, and neurodegenerative pathways, demonstrating how mitochondria‐related biological processes may contribute to AD pathogenesis beyond reduced energy metabolism.…”

“…A GWAS of mitochondrion‐associated genes and subsequent epistasis analysis identified six modules of nuclear genes associated with AD pathogenesis that interacted with mitochondrial genes. 201 Top hub genes identified through network analysis were involved in synaptic function, signaling pathways, and neurodegenerative pathways, demonstrating how mitochondria‐related biological processes may contribute to AD pathogenesis beyond reduced energy metabolism. The only gene identified from all investigative approaches was APP , consistent with its central role.…”