ArticleNature communications2019
Integrative transcriptome imputation reveals tissue-specific and shared biological mechanisms mediating susceptibility to complex traits.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.
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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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
62 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses.Nature medicine · 2023Pooled it
- Genome-wide analyses of ADHD identify 27 risk loci, refine the genetic architecture and implicate several cognitive domains.Nature genetics · 2023Pooled it
- Predicted brain-regional gene expression patterns in individuals living with Alzheimer's disease.Neurobiology of aging · 2026Article
- Article
- G2DR: a genotype-first framework for genetics-informed target prioritization and drug repurposing.Briefings in bioinformatics · 2026Article
- Co-expression-based models improve eQTL predictions for transcriptome-wide association studies and highlight new schizophrenia-associated genes.Nature genetics · 2026Article
- Multi-ancestry transcriptome prediction with functionally informed variants in TOPMed MESA improves performance of transcriptome-wide association studies.American journal of human genetics · 2026Article
- LncRNA DANCR Regulates PARP1-Mediated Oxidative Stress Response in Corneas by Encoding a Novel Micropeptide miPEPDR.Investigative ophthalmology & visual science · 2026Article
- Functional implications of polygenic risk for schizophrenia in human neurons.Nature communications · 2026Article
- Deep-learning prediction of gene expression from personal genomes.Genome biology · 2026Article
- An atlas of single-cell eQTLs dissects autoimmune disease genes and identifies novel drug classes for treatment.Cell genomics · 2025Article
- MAAT: a new nonparametric Bayesian framework for incorporating multiple functional annotations in transcriptome-wide association studies.Genome biology · 2025Article
- A genetically based computational drug repurposing framework for rapid identification of candidate compounds: application to COVID-19.medRxiv : the preprint server for health sciences · 2025Article
- Enhancing disease risk gene discovery by integrating transcription factor-linked trans-variants into transcriptome-wide association analyses.Nucleic acids research · 2025Article
- Multiome-wide Association Studies: Novel Approaches for Understanding Diseases.Genomics, proteomics & bioinformatics · 2024Review
- Genome-wide association analyses identify distinct genetic architectures for age-related macular degeneration across ancestries.Nature genetics · 2024Article
- A multi-modal framework improves prediction of tissue-specific gene expression from a surrogate tissue.EBioMedicine · 2024Article
- Leveraging Random Effects in Cistrome-Wide Association Studies for Decoding the Genetic Determinants of Prostate Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Article
- Distinct genetic liability profiles define clinically relevant patient strata across common diseases.Nature communications · 2024Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Transcriptome-wide association studies integrate gene expression data with common risk variation to identify gene-trait associations. By incorporating epigenome data to estimate the functional importance of genetic variation on gene expression, we generate a small but significant improvement in the accuracy of transcriptome prediction and increase the power to detect significant expression-trait associations. Joint analysis of 14 large-scale transcriptome datasets and 58 traits identify 13,724 significant expression-trait associations that converge on biological processes and relevant phenotypes in human and mouse phenotype databases. We perform drug repurposing analysis and identify compounds that mimic, or reverse, trait-specific changes. We identify genes that exhibit agonistic pleiotropy for genetically correlated traits that converge on shared biological pathways and elucidate distinct processes in disease etiopathogenesis. Overall, this comprehensive analysis provides insight into the specificity and convergence of gene expression on susceptibility to complex traits.
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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.