ReviewNature reviews. Genetics2018
Integrative omics for health and disease.
Review in Nature reviews. Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 580 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
580 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- "First, do no harm" in the digital era: examining the practicality of the European Health Data Space proposal and ethical implications of artificial intelligence: A systematic literature review.BMC medical ethics · 2026Pooled it
- Multi-omics and high-spatial-resolution omics: deciphering complexity in neurological disorders.GigaScience · 2025Pooled it
- Article
- In vivo immune cell engineering from bench to clinical reality.Pharmaceutical science advances · 2026Review
- Multi-omics integration deciphers arsenic-induced multi-organ toxicity and the novel ferroptosis axis.Toxicology reports · 2026Review
- PROTACs in personalized and precision medicine: transforming targeted therapy with advances in selectivity and patient stratification.Cancer chemotherapy and pharmacology · 2026Review
- Multi‑omics insights into uveitis: From mechanisms to precision medicine (Review).International journal of molecular medicine · 2026Review
- Reconstructing bovine disease trajectories through integrative multi-omics: molecular decision nodes, predictive biomarkers and precision intervention.Veterinary research communications · 2026Review
- Identification of shared and divergent molecular pathways linking ambient air pollutants to mortality and major chronic diseases through proteomic profiling.Redox biology · 2026Article
- Review
- Multi-omic analyses of the same sample using metabolomics, lipidomics, proteomics, phosphoproteomics, and glycoproteomics.Chemical communications (Cambridge, England) · 2026Article
- Sphingolipid Remodeling in Colorectal Cancer Reveals a Continuum-like Metabolic Organization.Antioxidants (Basel, Switzerland) · 2026Article
- Integrative analysis prioritizes proteins associated with renal cell carcinoma and its risk factors.JNCI cancer spectrum · 2026Article
- Systems medicine: total body positron emission tomography meets omics.The British journal of radiology · 2026Review
- Knowledge-driven interpretable neural networks provide mechanistic insight.Genome research · 2026Article
- Heavy Metal-Induced Retinal Injury in Zebrafish (Toxics · 2026Review
- Multi-omics-driven precision medicine.iMeta · 2026Review
- Review
- Mitochondrial-Centered Biological Networks in Metabolic Disease: Toward Precision Mitochondrial Medicine.International journal of molecular sciences · 2026Review
- Mechanistic Artificial Intelligence for Personalized Drug Therapy: Integrating Pharmacokinetics, Pharmacodynamics, Therapeutic Drug Monitoring, and Multiomic Systems Biology.Pharmaceutics · 2026Review
520 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
2 authors.
Funding
Abstract
Advances in omics technologies - such as genomics, transcriptomics, proteomics and metabolomics - have begun to enable personalized medicine at an extraordinarily detailed molecular level. Individually, these technologies have contributed medical advances that have begun to enter clinical practice. However, each technology individually cannot capture the entire biological complexity of most human diseases. Integration of multiple technologies has emerged as an approach to provide a more comprehensive view of biology and disease. In this Review, we discuss the potential for combining diverse types of data and the utility of this approach in human health and disease. We provide examples of data integration to understand, diagnose and inform treatment of diseases, including rare and common diseases as well as cancer and transplant biology. Finally, we discuss technical and other challenges to clinical implementation of integrative omics.
Indexed as
Identifiers
What OpenQuestion holds
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.