Summary
This 2023 Nature Reviews Genetics article, authored by Hood and colleagues at the Institute for Systems Biology, examines the evolving landscape of precision health by tracing the transition from genomic prediction towards comprehensive phenomic profiling. The paper appears to argue that integrating multi-dimensional phenotypic data—encompassing molecular, physiological, behavioural and environmental factors—offers greater predictive power and clinical actionability than genomics alone for personalised population health. The work synthesises evidence for how systems-level phenotyping can enable more nuanced, individualised health interventions.
Regional applicability
The phenomic framework described may inform UK precision medicine initiatives such as those within the NHS Digital and genomics research programmes; however, the paper's focus on individualised prediction may require adaptation to UK healthcare systems prioritising population-level equity and access. UK application would depend on integration with existing health surveillance infrastructures and policy frameworks around data governance and equity.
Key measures
Genomic variants, phenotypic markers, biomarkers, personalised health prediction accuracy, clinical utility of phenomic versus genomic data
Outcomes reported
The paper examines the conceptual and methodological shift from genome-based prediction towards integrative phenomic profiling in personalised health interventions. It appears to assess how phenotypic data (biomarkers, physiological measures, lifestyle factors) can complement or supersede genetic information in population health strategies.
Topic tags
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