ArticleCell reports. Medicine2022
A population-based study of precision health assessments using multi-omics network-derived biological functional modules.
Article in Cell reports. Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The role and future of the population health observatory: advancing public health intelligence in Saudi Arabia.Frontiers in public health · 2026Review
- Metabolite and protein associations with general health in the population-based CHRIS study.Scientific reports · 2024Article
- Multi-Omics Profiling for Health.Molecular & cellular proteomics : MCP · 2023Review
- Data-driven precision medicine through the analysis of biological functional modules.Cell reports. Medicine · 2022Article
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31 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Recent technological advances in multi-omics and bioinformatics provide an opportunity to develop precision health assessments, which require big data and relevant bioinformatic methods. Here we collect multi-omics data from 4,277 individuals. We calculate the correlations between pairwise features from cross-sectional data and then generate 11 biological functional modules (BFMs) in males and 12 BFMs in females using a community detection algorithm. Using the features in the BFM associated with cardiometabolic health, carotid plaques can be predicted accurately in an independent dataset. We developed a model by comparing individual data with the health baseline in BFMs to assess health status (BFM-ash). Then we apply the model to chronic patients and modify the BFM-ash model to assess the effects of consuming grape seed extract as a dietary supplement. Finally, anomalous BFMs are identified for each subject. Our BFMs and BFM-ash model have huge prospects for application in precision health assessment.
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