Data interpretation: The massive amount of data generated requires sophisticated bioinformatics tools and expertise for accurate interpretation. Ethical considerations: Issues related to genetic privacy, consent, and the psychological impact of genetic findings need to be addressed. Standardization: There is a need for standardized protocols and guidelines to ensure consistency and reliability of results across different laboratories.
