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iGEM and Gene Drives: A Case Study for Governance.

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Summary

Gene drives require special governance due to their potential impact. Lessons from the International Genetically Engineered Machine (iGEM) competition highlight adaptive risk management and broader expertise integration for effective gene drive policy development.

Keywords:
Adaptive governanceAdaptive risk managementGene drivesGovernanceRisk managementiGEM

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Area of Science:

  • Synthetic biology
  • Bioethics
  • Risk assessment

Background:

  • Gene drive technologies present unique governance challenges due to their potential for widespread ecological impact.
  • Existing governance frameworks may not adequately address the complexities of gene drive research and development.
  • The International Genetically Engineered Machine (iGEM) competition offers a valuable case study for understanding gene drive governance.

Purpose of the Study:

  • To explore the International Genetically Engineered Machine (iGEM) competition's experiences with gene drive research.
  • To distill key insights from iGEM's governance development for future gene drive policy in the United States.
  • To identify best practices for managing the risks associated with gene drive technologies.

Main Methods:

  • Case study analysis of the International Genetically Engineered Machine (iGEM) competition.
  • Distillation of six key insights from iGEM's gene drive-related research governance.
  • Examination of challenges in developing, revising, and implementing governance systems for novel biotechnologies.

Main Results:

  • Gene drives necessitate specific governance attention due to potential for widescale impact and intergenerational/transboundary risks.
  • An adaptive risk management approach is crucial for gene drives in a rapidly evolving technical landscape.
  • Current biosafety/biosecurity reviews may not fully capture gene drive research, requiring complementary governance methods and value-based discussions.

Conclusions:

  • Future gene drive policy requires adaptive risk management, incorporating diverse expertise beyond technical review.
  • Governance systems must proactively identify emerging gene drive advances through regular technology horizon scanning.
  • Integrating ethical considerations and broader societal implications is essential for responsible gene drive research and development governance.