ArticleeLife2023
Exploiting the mediating role of the metabolome to unravel transcript-to-phenotype associations.
Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 37 citations in OpenAlex.
- Moving Mendelian Randomization From Traditional Risk Factors to Molecular Targets for Drug Development and Clinical Trials in Nephrology.Kidney international reports · 2026Review
- Metabolic adaptations of yeast cells to epigenetic modifiers: a comparative analysis of free amino acid profiles and key metabolites.World journal of microbiology & biotechnology · 2026Article
- Convergent Multistage Evidence Implicates the CCR2-Artemin Immune-Inflammation Axis in Acute Myeloid Leukemia.Mediators of inflammation · 2026Article
- Causal plasma metabolites for breast cancer risk: a two-sample Mendelian randomization study with colocalization evidence.Discover oncology · 2025Article
- Quantitative trait loci mapping of circulating metabolites in cerebrospinal fluid to uncover biological mechanisms involved in brain-related phenotypes.Molecular psychiatry · 2025Article
- Evaluating metabolome-wide causal effects on risk for psychiatric and neurodegenerative disorders.BMC medicine · 2025Article
- Clinical lipidomics reveals high individuality and sex specificity of circulatory lipid signatures: a prospective healthy population study.Journal of lipid research · 2025Article
- Protein associations and protein-metabolite interactions with depressive symptoms and the p-factor.Translational psychiatry · 2025Article
- Thyroid function and multiple sclerosis: a two-sample mendelian randomization study and mediation analysis.Scientific reports · 2025Article
- Refinement of a Published Gene-Physical Activity Interaction Impacting HDL-Cholesterol: Role of Sex and Lipoprotein Subfractions.Genetic epidemiology · 2025Article
- Association between 25(OH) vitamin D and multiple sclerosis: cohort, shared genetics, and Causality.Nutrition journal · 2024Observational
- Gene regulatory networks in disease and ageing.Nature reviews. Nephrology · 2024Review
- Association between vitamin B6 levels and rheumatoid arthritis: a two-sample Mendelian randomization study.Frontiers in nutrition · 2024Article
- Unraveling phenotypic variance in metabolic syndrome through multi-omics.Human genetics · 2024Article
- Longitudinal multi-omics study reveals common etiology underlying association between plasma proteome and BMI trajectories in adolescent and young adult twins.BMC medicine · 2023Article
- Systems genetics approaches for understanding complex traits with relevance for human disease.eLife · 2023Review
- Metabolite profiling and transcriptomic analyses demonstrate the effects of biocontrol agents on alkaloid accumulation in Fritillaria thunbergii.BMC plant biology · 2023Article
- Principles of metabolome conservation in animals.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Longitudinal multi-omics study reveals common etiology underlying association between plasma proteome and BMI trajectories in adolescent and young adult twins.medRxiv : the preprint server for health sciences · 2023Article
- The next step in Mendelian randomization.eLife · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the success of genome-wide association studies (GWASs) in identifying genetic variants associated with complex traits, understanding the mechanisms behind these statistical associations remains challenging. Several methods that integrate methylation, gene expression, and protein quantitative trait loci (QTLs) with GWAS data to determine their causal role in the path from genotype to phenotype have been proposed. Here, we developed and applied a multi-omics Mendelian randomization (MR) framework to study how metabolites mediate the effect of gene expression on complex traits. We identified 216 transcript-metabolite-trait causal triplets involving 26 medically relevant phenotypes. Among these associations, 58% were missed by classical transcriptome-wide MR, which only uses gene expression and GWAS data. This allowed the identification of biologically relevant pathways, such as between
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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.