Transcriptome analysis highlights common pathways between Alzheimer's disease, dementia with Lewy bodies and Parkinson's disease. (December 2021)

• Record Type: Journal Article
• Authors: Senkevich, Konstantin; Nikanorova, Daria; Protsenko, Ludmila; Yu, Eric; Krohn, Lynne; Mufti, Kheireddin; Estiar, Mehrdad A; Gan‐Or, Ziv
• Is Part Of: Alzheimer's & dementia. Volume 17(2021)Supplement 3
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-12
• Subjects: Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1002/alz.050014
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Background: Alzheimer's disease (AD) and Parkinson's disease (PD) are the two most common neurodegenerative disorders. Dementia with Lewy bodies (DLB) has common clinical and pathological features with both AD and PD. Additionally, some genes were discovered as top hits in genome‐wide association studies (GWASs) for multiple traits (i.e. MAPT, SNCA, TMEM175 ). This pleiotropy and shared biology suggest common biological pathways. In the current study, we aim to apply genomic and transcriptomic approaches to study possible shared biological pathways across three disorders. Method: Summary statistics from the most recent AD, PD and DLB GWASs were included in the analysis. To study genetic correlation, linkage disequilibrium score regression (LDSC) was applied. We performed a transcriptome‐wide association study (TWAS) using the FUSION software. For the current study, we have selected expression data from 16 tissues including brain, colon and whole blood. Further, we used the RHOGE package to perform expression correlation between each pair of disorders in the selected tissues. We then performed a cross‐tissue analysis of gene expression using the UTMOST package. We selected genes significantly associated with all diseases after false discovery rate (FDR) correction and analyzed common pathways across the three traits. Result: We found a genetic correlation between AD and PD (rg=0.21; p=0.013), PD and DLB (rg=0.63; p=0.0002). Applying gene expression correlation across tissues, we found a significant correlation between PD and AD in the amygdala and spinal cord. We also identified correlations between PD and DLB, driven by other tissues including the cerebellum, hippocampus, substantia nigra and transverse colon. The strongest correlation between AD and DLB was in the cerebellum and caudate. We found a number of genes overlapping across three traits in the cross‐tissue analysis (Figure 1). Genes overlapping between PD and DLB are mainly encoding proteins involved in lysosomal metabolism. Shared genes between AD and DLB are involved in lipid metabolism and related to cognitive dysfunction. For PD and AD, genes encoding proteins from the SNARE complex ( STX1B, STX4, DOC2A ) were identified. Conclusion: We highlighted common genes and pathways between AD, PD and DLB, which could serve as targets for drug development.