The future of GWAS in biotechnology is promising yet requires careful navigation. Advances in genomics and data analysis techniques are likely to enhance the precision and applicability of GWAS, making it possible to explore rare variants and complex gene-gene interactions. Integrating GWAS with other omics technologies, such as transcriptomics and metabolomics, could provide a more comprehensive understanding of disease mechanisms. However, addressing the ethical and privacy concerns will remain critical to maintaining public trust and ensuring the responsible use of GWAS data.
