ArticleBMC genomics2024
Unraveling the genetic architecture of blood unfolded p-53 among non-demented elderlies: novel candidate genes for early Alzheimer's disease.
Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Oxidative stress, aging, metabolism, SIRT1, and the gut microbiota: the neurocardiac basis of cognitive loss.Medical gas research · 2027Review
- Gene Expression Analysis of Mitochondria-Associated Membrane (MAM)-Related Genes in ER Stress and Alzheimer's Disease.Cellular and molecular neurobiology · 2026Article
- Agitation, Alzheimer's disease, and autophagy: mechanistic insights into aging pathways, gut microbiome, and artificial intelligence.Frontiers in immunology · 2026Review
- Molecular pathogenesis of Alzheimer's disease onset in a mouse model: effects of cannabidiol treatment.Frontiers in neuroscience · 2025Article
- Article
- Identification of novel risk genes for Alzheimer's disease by integrating genetics from hippocampus.Scientific reports · 2024Article
- Transcriptome profiling of cerebrospinal fluid in Alzheimer's disease reveals molecular dysregulations associated with disease.Alzheimer's & dementia (New York, N. Y.)Article
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Authors and funding
2 authors.
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Abstract
backgroundAlzheimer's disease (AD) is a heritable neurodegenerative disease whose long asymptomatic phase makes the early diagnosis of it pivotal. Blood U-p53 has recently emerged as a superior predictive biomarker for AD in the early stages. We hypothesized that genetic variants associated with blood U-p53 could reveal novel loci and pathways involved in the early stages of AD.
resultsWe performed a blood U-p53 Genome-wide association study (GWAS) on 484 healthy and mild cognitively impaired subjects from the ADNI cohort using 612,843 Single nucleotide polymorphisms (SNPs). We performed a pathway analysis and prioritized candidate genes using an AD single-cell gene program. We fine-mapped the intergenic SNPs by leveraging a cell-type-specific enhancer-to-gene linking strategy using a brain single-cell multimodal dataset. We validated the candidate genes in an independent brain single-cell RNA-seq and the ADNI blood transcriptome datasets. The rs279686 between AASS and FEZF1 genes was the most significant SNP (p-value = 4.82 × 10
conclusionsWe underlined the importance of performing a GWAS on an early-stage biomarker of AD and leveraging functional omics datasets for pinpointing causal genes in AD. Our study prioritized nine genes (SORCS1, KIF5C, TMEFF2, TMEM63C, HLA-E, ATAT1, TUBB, ARID1B, and RUNX1) strongly implicated in the early stages of AD.
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