ArticleNature communications2020
A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.
What it found
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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
56 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Mendelian Randomization Analysis Reveals a Complex Genetic Interplay among Atopic Dermatitis, Asthma, and Gastroesophageal Reflux Disease.American journal of respiratory and critical care medicine · 2023Pooled it
- Mendelian randomization and genetic colocalization infer the effects of the multi-tissue proteome on 211 complex disease-related phenotypes.Genome medicine · 2022Pooled it
- A multi-tissue mendelian randomization method based on eQTL data for mapping tissue-specific disease genes.BMC bioinformatics · 2026Article
- A flexible and unified framework for single- and multi-outcome Mendelian randomization using summary statistics.American journal of human genetics · 2026Article
- Proteome-wide Mendelian randomization and colocalization analyses identify potential biomarkers for schizophrenia.Frontiers in psychiatry · 2026Article
- Causal Association between Arm Fat, Left Leg Fat, and Trunk Fat Masses and Risk of Polycystic Ovarian Syndrome: A Mendelian Randomization Study.Combinatorial chemistry & high throughput screening · 2026Article
- Genetically prioritized mitochondrial regulators of advanced renal failure: multi-omic Mendelian randomization and biological plausibility assessment in allograft fibrosis.Frontiers in immunology · 2026Article
- Airqtl dissects cell state-specific causal gene regulatory networks with efficient single-cell eQTL mapping.Nature communications · 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
- Systematic genetic investigation on relative macronutrient intake, circulating metabolic biomarkers and the risk of autoimmune diseases.NPJ science of food · 2025Article
- Genetic determinants of monocyte splicing are enriched for disease susceptibility loci.Nature communications · 2025Article
- RNA interference versus antibody-based PCSK9 inhibition for the prevention of cardiovascular disease: a drug-target Mendelian randomization study.Cardiovascular research · 2025Article
- Article
- Uncovering the Role ofJournal of Cancer · 2025Article
- Mendelian Randomisation: Concepts, Opportunities, Challenges, and Future Directions.Global heart · 2025Review
- Integration of multi-omics transcriptome-wide analysis for the identification of novel therapeutic drug targets in diabetic retinopathy.Journal of translational medicine · 2024Article
- Leveraging large-scale multi-omics evidences to identify therapeutic targets from genome-wide association studies.BMC genomics · 2024Article
- Two-Sample Mendelian Randomization Study Identifies Tissue-Dependent Risk Genes in Autoimmune Diseases.Current issues in molecular biology · 2024Article
- Transcriptome-wide Mendelian randomization during CD4Nature communications · 2024Article
- Multi-omics insight into the metabolic and cellular characteristics in the pathogenesis of hypothyroidism.Communications biology · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Developing insight into tissue-specific transcriptional mechanisms can help improve our understanding of how genetic variants exert their effects on complex traits and disease. In this study, we apply the principles of Mendelian randomization to systematically evaluate transcriptome-wide associations between gene expression (across 48 different tissue types) and 395 complex traits. Our findings indicate that variants which influence gene expression levels in multiple tissues are more likely to influence multiple complex traits. Moreover, detailed investigations of our results highlight tissue-specific associations, drug validation opportunities, insight into the likely causal pathways for trait-associated variants and also implicate putative associations at loci yet to be implicated in disease susceptibility. Similar evaluations can be conducted at http://mrcieu.mrsoftware.org/Tissue_MR_atlas/.
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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.