ArticleFrontiers in aging neuroscience2016
Aging Shapes the Population-Mean and -Dispersion of Gene Expression in Human Brains.
Article in Frontiers in aging neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 38 citations in OpenAlex.
- Functional Analysis of Late-Onset Alzheimer's Disease Risk Genes inbioRxiv : the preprint server for biology · 2026Article
- A Manifold-Based Measure of Transcriptional Entropy for Quantifying Aging in Single Cells.bioRxiv : the preprint server for biology · 2026Article
- Epigenetic pharmacology in aging: from mechanisms to therapies for age-related disorders.Frontiers in pharmacology · 2025Review
- Profiling X chromosome genes expression relevant to sex dimorphism in stroke: insights from transcriptomics landscape analysis.Frontiers in genetics · 2025Article
- Article
- Smurfness-based two-phase model of ageing helps deconvolve the ageing transcriptional signature.Aging cell · 2023Article
- CIRCUST: A novel methodology for temporal order reconstruction of molecular rhythms; validation and application towards a daily rhythm gene expression atlas in humans.PLoS computational biology · 2023Article
- A transcription-centric model of SNP-age interaction.PLoS genetics · 2021Article
- LSD1 enzyme inhibitor TAK-418 unlocks aberrant epigenetic machinery and improves autism symptoms in neurodevelopmental disorder models.Science advances · 2021Article
- Advances in transcriptome analysis of human brain aging.Experimental & molecular medicine · 2020Review
- Overdispersed gene expression in schizophrenia.NPJ schizophrenia · 2020Article
- Temporal changes in the gene expression heterogeneity during brain development and aging.Scientific reports · 2020Article
- The widespread increase in inter-individual variability of gene expression in the human brain with age.Aging · 2019Article
- Integrating cellular senescence with the concept of damage accumulation in aging: Relevance for clearance of senescent cells.Aging cell · 2019Review
- Role of gamma-amino-butyric acid in the dorsal anterior cingulate in age-associated changes in cognition.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018Article
- Comprehensive map of age-associated splicing changes across human tissues and their contributions to age-associated diseases.Scientific reports · 2018Article
- Age-dependent changes in mean and variance of gene expression across tissues in a twin cohort.Human molecular genetics · 2018Article
- Systematic analysis of gene expression patterns associated with postmortem interval in human tissues.Scientific reports · 2017Article
- Epistasis and destabilizing mutations shape gene expression variability in humans via distinct modes of action.Human molecular genetics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Human aging is associated with cognitive decline and an increased risk of neurodegenerative disease. Our objective for this study was to evaluate potential relationships between age and variation in gene expression across different regions of the brain. We analyzed the Genotype-Tissue Expression (GTEx) data from 54 to 101 tissue samples across 13 brain regions in post-mortem donors of European descent aged between 20 and 70 years at death. After accounting for the effects of covariates and hidden confounding factors, we identified 1446 protein-coding genes whose expression in one or more brain regions is correlated with chronological age at a false discovery rate of 5%. These genes are involved in various biological processes including apoptosis, mRNA splicing, amino acid biosynthesis, and neurotransmitter transport. The distribution of these genes among brain regions is uneven, suggesting variable regional responses to aging. We also found that the aging response of many genes, e.g., TP37 and C1QA, depends on individuals' genotypic backgrounds. Finally, using dispersion-specific analysis, we identified genes such as IL7R, MS4A4E, and TERF1/TERF2 whose expressions are differentially dispersed by aging, i.e., variances differ between age groups. Our results demonstrate that age-related gene expression is brain region-specific, genotype-dependent, and associated with both mean and dispersion changes. Our findings provide a foundation for more sophisticated gene expression modeling in the studies of age-related neurodegenerative diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.