ArticleScience advances2021
Predicting tissue-specific gene expression from whole blood transcriptome.
Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 3 of them syntheses that pooled it.
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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.
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.
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Who cites it
69 citing papers in PubMed, 3 syntheses or guidelines pooled it, 87 citations in OpenAlex.
- Multiancestry Transcriptome-Wide Association Study Identifies Candidate Genes Associated with Hepatoblastoma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Pooled it
- Transcriptional and Epigenetic Response to Sedentary Behavior and Physical Activity in Children and Adolescents: A Systematic Review.Frontiers in pediatrics · 2022Pooled it
- Exploration of Potential Genetic Biomarkers for Heart Failure: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Mediterranean Diet Modulates Gene Expression of Cholesterol Efflux Receptors in High-Risk Cardiovascular Patients.Molecular nutrition & food research · 2025Trial
- Effects of exercise on whole-blood transcriptome profile in children with overweight/obesity.American journal of human biology : the official journal of the Human Biology Council · 2024Trial
- Cross-tissue graph attention networks for semi-supervised gene expression prediction.Briefings in bioinformatics · 2026Article
- Integrative transcriptomic and machine learning analysis identifies key extracellular matrix-related genes in diabetic retinopathy.Scientific reports · 2026Article
- Immune gene expression dynamics across the lifespan of Tibetan macaques (Current zoology · 2026Article
- WBT-DC pipeline: a cross-cohort and cross-platform disease classification pipeline based on whole-blood transcriptomics.Journal of translational medicine · 2026Article
- Blood Biochemical Responses to Acute Exercise: Findings from the Molecular Transducers of Physical Activity Consortium (MoTrPAC).bioRxiv : the preprint server for biology · 2026Article
- Review
- NADCdb: A Joint Transcriptomic Database for Non-AIDS-Defining Cancer Research in HIV-Positive Individuals.International journal of molecular sciences · 2026Article
- Leveraging machine learning and network biology approaches to predict brain gene expression from blood transcriptomes.GigaScience · 2026Article
- Sex differences in molecular pathways underlying cardiovascular health in Black Americans.Research square · 2026Article
- Genome-wide cis-expression Quantitative Trait Loci (eQTL) and transcriptomic signals reveal distinct molecular regulation across correlated feed efficiency traits.Frontiers in genetics · 2026Article
- COLGALT2 Polymorphisms are Associated with Osteoarthritis Risk and Clinical Severity in a Chinese Population.International journal of general medicine · 2026Article
- Whole Blood Transcriptome Analysis in Female Adolescents With Depression Accompanied by Nonsuicidal Self-Injury and Suicide Attempt.Depression and anxiety · 2026Observational
- Multi-omics dissection of SNP-mediated immunometabolic signatures in Alzheimer's disease reveals a novel individual predictive model.NPJ digital medicine · 2025Article
- Integrating Single-Cell Transcriptome-Wide Mendelian Randomization and Differentially Expressed Gene Analyses to Prioritize Dynamic Immune-Related Drug Targets for Cancers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Whole-blood transcriptomic analysis reveals preoperative complement inhibitor deficiencies linked to postoperative delirium.Molecular psychiatry · 2025Article
9 more citing papers are in PubMed but not listed here.
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 1 country.
Funding
Abstract
Complex diseases are mediated via transcriptional dysregulation in multiple tissues. Thus, knowing an individual's tissue-specific gene expression can provide critical information about her health. Unfortunately, for most tissues, the transcriptome cannot be obtained without invasive procedures. Could we, however, infer an individual's tissue-specific expression from her whole blood transcriptome? Here, we rigorously address this question. We find that an individual's whole blood transcriptome can significantly predict tissue-specific expression levels for ~60% of the genes on average across 32 tissues, with up to 81% of the genes in skeletal muscle. The tissue-specific expression inferred from the blood transcriptome is almost as good as the actual measured tissue expression in predicting disease state for six different complex disorders, including hypertension and type 2 diabetes, substantially surpassing the blood transcriptome. The code for tissue-specific gene expression prediction, TEEBoT, is provided, enabling others to study its potential translational value in other indications.
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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.