ReviewNature reviews. Genetics2024
The transition from genomics to phenomics in personalized population health.
Review in Nature reviews. Genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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
34 citing papers in PubMed.
- Towards universal deconvolution of tissue-level multiomics for translational medicine.Clinical and translational medicine · 2026Article
- Evaluation of a Partial Ban on Rx-Rebates in Germany.Health economics · 2026Article
- Recommendations for the use of clinical outcome assessments in rare disease drug development.EClinicalMedicine · 2026Review
- The Blood RNA Stability Atlas: defining temporal structure and trait-state programs in the human whole-blood transcriptome.bioRxiv : the preprint server for biology · 2026Article
- Integrating host-microbiome multi-omics with machine learning: methods, benchmarks, and translational applications.Science China. Life sciences · 2026Review
- Mapping functional non-coding variation in individual human genomes through haplotyping, multiomics, and deep learning.Nature communications · 2026Article
- Omics Technologies in Molecular Biology.International journal of molecular sciences · 2026Article
- Addressing the diagnostic gap through deep phenotyping.Human genomics · 2026Article
- Genetic Predisposition to Excess Body Weight and Survival in Women Diagnosed With Breast Cancer.JAMA network open · 2026Article
- GenRiskPro: A Comprehensive Whole-Genome Sequencing Analysis Platform for Clinical and Wellness Applications.Computational and structural biotechnology journal · 2026Article
- Phenome-wide associations of coffee intake in the human phenotype project.Metabolism: clinical and experimental · 2026Article
- Artificial Intelligence in Clinical Oncology: From Productivity Enhancement to Creative Discovery.Current oncology (Toronto, Ont.) · 2025Review
- A multi-omics-empowered framework for precision diagnosis and treatment of lysosomal diseases.Journal of pharmaceutical analysis · 2025Review
- The X-Age Project to construct a Chinese aging clock.Nature aging · 2025Review
- Longitudinal big biological data in the AI era.Molecular systems biology · 2025Review
- Deep phenotyping of health-disease continuum in the Human Phenotype Project.Nature medicine · 2025Article
- Data in Personalized Nutrition: Bridging Biomedical, Psycho-behavioral, and Food Environment Approaches for Population-wide Impact.Advances in nutrition (Bethesda, Md.) · 2025Review
- Advances in personalized medicine: translating genomic insights into targeted therapies for cancer treatment.Annals of translational medicine · 2025Review
- Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025Review
- The current landscape of personalised preventive approaches for non-communicable diseases: A scoping review.PloS one · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern health care faces several serious challenges, including an ageing population and its inherent burden of chronic diseases, rising costs and marginal quality metrics. By assessing and optimizing the health trajectory of each individual using a data-driven personalized approach that reflects their genetics, behaviour and environment, we can start to address these challenges. This assessment includes longitudinal phenome measures, such as the blood proteome and metabolome, gut microbiome composition and function, and lifestyle and behaviour through wearables and questionnaires. Here, we review ongoing large-scale genomics and longitudinal phenomics efforts and the powerful insights they provide into wellness. We describe our vision for the transformation of the current health care from disease-oriented to data-driven, wellness-oriented and personalized population health.
Indexed as
Identifiers
38093095What 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.