Manman Li

Hainan Institute of Biotechnology, Haikou, 570206, Hainan, China
Author    Correspondence author
Genomics and Applied Biology, 2024, Vol. 15, No. 4   
Received: 03 May, 2024    Accepted: 18 Jun., 2024    Published: 07 Jul., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

The study discoveries highlight the integration of biostatistics with genomic data to enhance precision public health initiatives, the development of novel computational methods to handle large genomic datasets, and the critical role of biostatistics in genome-wide association studies (GWAS). The study also underscores the importance of addressing data integration, methodological rigor, and health equity to fully leverage genomic data in public health. The findings suggest that the future of biostatistics in genomic research is promising, with significant potential to advance our understanding of complex genetic diseases and improve public health outcomes. However, realizing this potential will require overcoming substantial challenges related to data management, methodological development, and interdisciplinary collaboration.

Biostatistics; Genomic research; Genome-wide association studies; Computational methods; Data integration