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Review
. 2021 Mar;39(3):211-214.
doi: 10.1016/j.tibtech.2020.08.011. Epub 2020 Sep 30.

Embracing Dynamic Models for Gene Drive Management

Andrew J Golnar  1 , Emily Ruell  2 , Alun L Lloyd  3 , Kim M Pepin  2
Affiliations
Review

Embracing Dynamic Models for Gene Drive Management

Andrew J Golnar et al. Trends Biotechnol. 2021 Mar.

Abstract

Robust methods of predicting how gene drive systems will interact with ecosystems is essential for safe deployment of gene drive technology. We describe how quantitative tools can reduce risk uncertainty, streamline empirical research, guide risk management, and promote cross-sector collaboration throughout the process of gene drive technology development and implementation.

Keywords: GMO; decision-making; gene drive; population genetics; regulation; risk assessment; uncertainty.

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