What are the Challenges in Integrating Omics in Epidemiology?
Despite the potential benefits, several challenges exist in integrating omics data into epidemiological research:
Data Complexity: Omics data is complex and requires advanced computational tools and expertise to analyze and interpret. High Costs: Omics technologies can be expensive, limiting their widespread use, especially in resource-limited settings. Data Integration: Combining data from different omics layers (e.g., genomics, proteomics) and linking it to epidemiological data can be challenging. Ethical Considerations: The use of personal genetic information raises ethical issues related to privacy and consent.
