| Title: | Integrative multi-omics analysis of the molecular basis for the health development of newborns |
| Lead Institution: | KTH Royal Institute of Technology |
| Principal investigator: |
Application 150710
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About
The first year of life is a critical period for babies' health, during which they experience rapid and complex changes in various physiological systems. The MultiOmics Characterization of Infant Development (MOCID) project is designed to generate a longitudinal biological multi-omics dataset from more than 500 trios (father-mother-child) together with early environmental data. Our objective is to analyse the data from the MOCID and UKBB projects by employing sophisticated statistical models to reveal the interplay between genetic and environmental factors. Moreover, we will construct biological networks using additional multi-omics data, which will help us interpret how genes influence phenotypes and disease risks. A good combination of the MOCID dataset with the UKBB dataset allows for more robust and dynamic analysis. Together with the usage of the UKBB dataset, our ultimate goal is to identify the critical factors that shape human health, especially during the early stages of life, and potentially reveal the ethnic and ageing-related differences among the factors we identified. This integrated research holds promise for both fundamental biological inquiries, addressing health risks that manifest early in the lives of newborns, and providing reference and suggestions to public health and policy decisions.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 21546 | Whole blood transcriptomics atlas across human diseases | Mengzhen Li (+109) | 2026 | Nature Communications |
Enabling scientific discoveries that improve human health