ArticleScientific reports2021
Genetic dependency of Alzheimer's disease-associated genes across cells and tissue types.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- MEF2C controls lysosomal and lipid clearance programs linked to Alzheimer's disease risk in macrophages.Research square · 2026Article
- Article
- Decoding Dementia Mechanisms: Identification of Key Oligodendrocyte- Associated Genes through Integrative Bioinformatics and Machine Learning.Current topics in medicinal chemistry · 2026Article
- Article
- Identification of blood metabolites associated with risk of Alzheimer's disease by integrating genomics and metabolomics data.Molecular psychiatry · 2024Article
- Drug repositioning targeting glutaminase reveals drug candidates for the treatment of Alzheimer's disease patients.Journal of translational medicine · 2023Article
- Circadian protein TIMELESS regulates synaptic function and memory by modulating cAMP signaling.Cell reports · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Effective treatments targeting disease etiology are urgently needed for Alzheimer's disease (AD). Although candidate AD genes have been identified and altering their levels may serve as therapeutic strategies, the consequence of such alterations remain largely unknown. Herein, we analyzed CRISPR knockout/RNAi knockdown screen data for over 700 cell lines and evaluated cellular dependencies of 104 AD-associated genes previously identified by genome-wide association studies (GWAS) and gene expression network studies. Multiple genes showed widespread cell dependencies across tissue lineages, suggesting their inhibition may yield off-target effects. Meanwhile, several genes including SPI1, MEF2C, GAB2, ABCC11, ATCG1 were identified as genes of interest since their genetic knockouts specifically affected high-expressing cells whose tissue lineages are relevant to cell types found in AD. Overall, analyses of genetic screen data identified AD-associated genes whose knockout or knockdown selectively affected cell lines of relevant tissue lineages, prioritizing targets for potential AD treatments.
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Registered trials
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