ArticleFrontiers in genetics2021
Global Gene Expression Profiling and Transcription Factor Network Analysis of Cognitive Aging in Monozygotic Twins.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 11 citations in OpenAlex.
- The SLC-ome of membrane transport: From molecular discovery to physiology and clinical applications.Physiological reviews · 2025Review
- A penalized integrative deep neural network for variable selection among multiple omics datasets.Quantitative biology (Beijing, China) · 2024Article
- Ablation of specific long PDE4D isoforms increases neurite elongation and conveys protection against amyloid-β pathology.Cellular and molecular life sciences : CMLS · 2023Article
- Cellular stress signaling and the unfolded protein response in retinal degeneration: mechanisms and therapeutic implications.Molecular neurodegeneration · 2022Review
Corrections and comments
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Authors and funding
12 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cognitive aging is one of the major problems worldwide, especially as people get older. This study aimed to perform global gene expression profiling of cognitive function to identify associated genes and pathways and a novel transcriptional regulatory network analysis to identify important regulons. We performed single transcript analysis on 400 monozygotic twins using an assumption-free generalized correlation coefficient (GCC), linear mixed-effect model (LME) and kinship model and identified six probes (one significant at the standard FDR < 0.05 while the other results were suggestive with 0.18 ≤ FDR ≤ 0.28). We combined the GCC and linear model results to cover diverse patterns of relationships, and meaningful and novel genes like
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Registered trials
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