ArticleNature communications2024
A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Refining the Genetic Contribution to Type 2 Diabetes Subtypes.Diabetes, obesity & metabolism · 2026Article
- Large glycomics datasets as a tool to understand the function of glycans.Nature chemical biology · 2026Review
- Article
- Benchmarking computational methods for multi-omics biomarker discovery in cancer.Briefings in bioinformatics · 2026Article
- Reproducibility-driven discovery and systematic benchmarking reveal a robust cerebrospinal fluid proteomic signature in Alzheimer's disease.medRxiv : the preprint server for health sciences · 2026Article
- Multi-omics analysis of associations between host demographics and saliva metabolome, sugar profiles, and microbiome profiles.Scientific reports · 2026Article
- Manifold-based learning for high-throughput single-peanut phenotyping.NPJ systems biology and applications · 2026Article
- Multi-omics data integration from patients with carotid stenosis illuminates key molecular signatures of atherosclerotic instability.Genome medicine · 2026Article
- Special Issue "Molecular Progression in Genome-Related Diseases".International journal of molecular sciences · 2026Article
- A co-evolutionary perspective on humans andeLife · 2026Review
- High-Fat Diet-Fed Kcnq1 Mutant Mice Have Reduced Pancreatic β-Cell Mass via Gene-Environment Interaction.Diabetes & metabolism journal · 2026Article
- From omics to AI-mapping the pathogenic pathways in type 2 diabetes.FEBS letters · 2025Review
- The evolution of analytical techniques for multiplex analysis of protein biomarkers.Expert review of proteomics · 2025Review
- AutoFocus: a hierarchical framework to explore multi-omic disease associations spanning multiple scales of biomolecular interaction.Communications biology · 2024Article
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Authors and funding
25 authors.
Funding
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Abstract
In-depth multiomic phenotyping provides molecular insights into complex physiological processes and their pathologies. Here, we report on integrating 18 diverse deep molecular phenotyping (omics-) technologies applied to urine, blood, and saliva samples from 391 participants of the multiethnic diabetes Qatar Metabolomics Study of Diabetes (QMDiab). Using 6,304 quantitative molecular traits with 1,221,345 genetic variants, methylation at 470,837 DNA CpG sites, and gene expression of 57,000 transcripts, we determine (1) within-platform partial correlations, (2) between-platform mutual best correlations, and (3) genome-, epigenome-, transcriptome-, and phenome-wide associations. Combined into a molecular network of > 34,000 statistically significant trait-trait links in biofluids, our study portrays "The Molecular Human". We describe the variances explained by each omics in the phenotypes (age, sex, BMI, and diabetes state), platform complementarity, and the inherent correlation structures of multiomics data. Further, we construct multi-molecular network of diabetes subtypes. Finally, we generated an open-access web interface to "The Molecular Human" ( http://comics.metabolomix.com ), providing interactive data exploration and hypotheses generation possibilities.
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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 Socratic graph.