ArticleFrontiers in genetics2020
Improved Human Age Prediction by Using Gene Expression Profiles From Multiple Tissues.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- Estimating protein isoform abundances with [Formula: see text].Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A computational framework for detecting inter-tissue gene-expression coordination changes with aging.Scientific reports · 2025Article
- Targeted co-expression networks for the study of traits.Scientific reports · 2024Article
- Housekeeping protein-coding genes interrogated with tissue and individual variations.Scientific reports · 2024Article
- Tissue-specific biological aging predicts progression in prostate cancer and acute myeloid leukemia.Frontiers in oncology · 2023Article
- Establishing a genomic radiation-age association for space exploration supplements lung disease differentiation.Frontiers in public health · 2023Article
- Establishment and Validation of Models for the Risk of Multi-Drug Resistant Bacteria Infection and Prognosis in Elderly Patients with Pulmonary Infection: A Multicenter Retrospective Study.Infection and drug resistance · 2023Article
- Discussion of tumor mutation burden as an indicator to predict efficacy of immune checkpoint inhibitors: A case report.Frontiers in oncology · 2022Article
- Informative SNP Selection Based on a Fuzzy Clustering and Improved Binary Particle Swarm Optimization Algorithm.Computational and mathematical methods in medicine · 2022Article
- Drug repositioning for SARS-CoV-2 by Gaussian kernel similarity bilinear matrix factorization.Frontiers in microbiology · 2022Article
- New Perspectives on Avian Models for Studies of Basic Aging Processes.Biomedicines · 2021Review
- Effect of Aging on Homeostasis in the Soft Tissue of the Periodontium: A Narrative Review.Journal of personalized medicine · 2021Review
- Development and Validation of a Nomogram for the Prediction of Hospital Mortality of Patients With Encephalopathy Caused by Microbial Infection: A Retrospective Cohort Study.Frontiers in microbiology · 2021Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
Studying transcriptome chronological change from tissues across the whole body can provide valuable information for understanding aging and longevity. Although there has been research on the effect of single-tissue transcriptomes on human aging or aging in mice across multiple tissues, the study of human body-wide multi-tissue transcriptomes on aging is not yet available. In this study, we propose a quantitative model to predict human age by using gene expression data from 46 tissues generated by the Genotype-Tissue Expression (GTEx) project. Specifically, the biological age of a person is first predicted via the gene expression profile of a single tissue. Then, we combine the gene expression profiles from two tissues and compare the predictive accuracy between single and two tissues. The best performance as measured by the root-mean-square error is 3.92 years for single tissue (pituitary), which deceased to 3.6 years when we combined two tissues (pituitary and muscle) together. Different tissues have different potential in predicting chronological age. The prediction accuracy is improved by combining multiple tissues, supporting that aging is a systemic process involving multiple tissues across the human body.
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