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- W4381662100 abstract "Numerous genetic variants associated with Alzheimer’s disease (AD) have been identified through genome-wide association studies (GWAS), but their interpretation is hindered by the strong linkage disequilibrium (LD) among the variants, making it difficult to identify the causal variants directly. To address this issue, the transcriptome-wide association study (TWAS) was employed to infer the association between gene expression and a trait at the genetic level using expression quantitative trait locus (eQTL) cohorts. In this study, we applied the TWAS theory and utilized the improved Joint-Tissue Imputation (JTI) approach and Mendelian Randomization (MR) framework (MR-JTI) to identify potential AD-associated genes. By integrating LD score, GTEx eQTL data, and GWAS summary statistic data from a large cohort using MR-JTI, a total of 415 AD-associated genes were identified. Then, 2873 differentially expressed genes from 11 AD-related datasets were used for the Fisher test of these AD-associated genes. We finally obtained 36 highly reliable AD-associated genes, including APOC1, CR1, ERBB2, and RIN3. Moreover, the GO and KEGG enrichment analysis revealed that these genes are primarily involved in antigen processing and presentation, amyloid-beta formation, tau protein binding, and response to oxidative stress. The identification of these potential AD-associated genes not only provides insights into the pathogenesis of AD but also offers biomarkers for early diagnosis of the disease." @default.
- W4381662100 created "2023-06-23" @default.
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- W4381662100 date "2023-06-21" @default.
- W4381662100 modified "2023-10-14" @default.
- W4381662100 title "Identification of highly reliable risk genes for Alzheimer’s disease through joint-tissue integrative analysis" @default.
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- W4381662100 cites W2049471629 @default.
- W4381662100 cites W2052685738 @default.
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- W4381662100 cites W2065388283 @default.
- W4381662100 cites W2070742699 @default.
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- W4381662100 cites W2095949378 @default.
- W4381662100 cites W2096486324 @default.
- W4381662100 cites W2112163917 @default.
- W4381662100 cites W2114729479 @default.
- W4381662100 cites W2114800507 @default.
- W4381662100 cites W2130947702 @default.
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- W4381662100 doi "https://doi.org/10.3389/fnagi.2023.1183119" @default.
- W4381662100 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37416324" @default.
- W4381662100 hasPublicationYear "2023" @default.
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