As health research progresses, analyzing single factors is no longer sufficient to explain health outcomes complexities. Genetic background, social factors, environment, lifestyle, and psychological states are crucial but their combined effects on health are not fully understood. Studies show that genetic background, socioeconomic status, environmental pollution, lifestyle choices, and psychological stress can influence health through complex biological pathways. Recent advances in omics technologies-such as genomics, exposomics, transcriptomics, proteomics, metabolomics, epigenomics, metagenomics, imaging omics, phenomics et al.-offer new insights. Integrating data from these omics approaches allows us to assess the overall impact of these factors on health outcomes, identify potential biomarkers and susceptible populations, and develop precision medicine strategies to improve health.
Our project uses multi-omics methods to study how the mixed effects of environmental and genetic factors on health outcomes through multi-omics integration. The goal is to understand how these different elements interact and affect health at a multiple biological levels and identify new biomarkers and biological pathways that link environmental and genetic factors to health and diseases. Each of these omics fields provides unique insights into different aspects of biology. Integrating these data helps create a comprehensive picture of how external and internal influences affect health together. By identifying key factors that affect health outcomes, this research will help design precise health interventions and preventive measures tailored to individual needs, and help to find susceptible and high risk populations. Ultimately, our findings could enhance public health strategies, reduce the burden of chronic diseases, and promote better overall well-being across population.
