Comprehensive Biological Risk Assessment of Genetically Modified Organisms: Evaluating Human Health and Environmental Impacts

Authors

  • Zuhaib Nishtar College of Electrical Engineering and New Energy, China Three Gorges University, Yichang City-443002, China.
  • Ilman Khan Department of Zoology, Abdul Wali Khan University Mardan, Pakistan.
  • Talat Iqbal Department of Biological Sciences, Virtual University of Pakistan.
  • Ayisha Bibi School of Life Sciences and Department of Microbiology, Hazara University, Mansehra, KPK, Pakistan.
  • Wasfa Sana Department of Molecular Biology and Biotechnology, University of Lahore, Sargodha campus, Pakistan.
  • Kalim Ullah Institute of Biotechnology and Genetics Engineering IBGE the University of Agriculture Peshawar.

Keywords:

GMOs, Biological Risk Assessment, Potential Health, Environmental Risks

Abstract

This study presents a comprehensive biological risk assessment of genetically modified organisms (GMOs), focusing on their potential impact on human health and the environment. Utilizing a multi-faceted approach, we analyze existing literature, conduct data-driven case studies, and perform experimental evaluations. The health assessment examines short- and long-term risks, including Allergenicity, toxicity, and nutritional alterations in GMOs. The environmental assessment addresses concerns such as gene flow, pest resistance, and non-target species effects. Preliminary findings emphasize the need for context-specific, robust risk assessment frameworks that consider both direct and indirect impacts within ecological systems. This study advocates for a science-based regulatory approach to GMOs, balancing their potential benefits with associated risks. Future research will focus on developing predictive models to support proactive risk management and inform policy-making.

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Published

2024-09-01

How to Cite

Zuhaib Nishtar, Ilman Khan, Talat Iqbal, Ayisha Bibi, Wasfa Sana, & Kalim Ullah. (2024). Comprehensive Biological Risk Assessment of Genetically Modified Organisms: Evaluating Human Health and Environmental Impacts. Journal of Computing & Biomedical Informatics, 7(02). Retrieved from https://jcbi.org/index.php/Main/article/view/581