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Military genomic testing: proportionality, expected benefits, and the connection between genotypes and phenotypes
1Department of Philosophy and Religious Studies, Louisiana State University, Baton Rouge, LA 70803, USA.
Military use of genomics faces ethical challenges. Understanding the genotype-to-phenotype (G→P) map is crucial for ethical application, but its complexity raises doubts about feasibility.
Area of Science:
- Bioethics
- Genomics
- Military Ethics
- Philosophy of Biology
Background:
- Mehlman and Li propose a framework for bioethical issues in military genomics.
- This framework is grounded in civilian and military medical research ethics.
- It posits that military commanders must adhere to paternalism and proportionality.
Purpose of the Study:
- To evaluate the ethical feasibility of applying Mehlman and Li's framework to military genomics.
- To explore the challenges in understanding the genotype-to-phenotype (G→P) relationship for ethical military applications.
- To question the sufficiency of current scientific understanding to meet ethical standards.
Main Methods:
- Conceptual analysis of ethical principles (paternalism, proportionality).
- Review of contemporary civilian and military ethics in medical research.
- Examination of recent conceptual work in evolutionary theory and philosophy of biology regarding the G→P map.
Main Results:
- The ethical bar set by Mehlman and Li's framework is significantly higher than initially perceived.
- The complexity of the genotype-to-phenotype (G→P) relationship poses substantial challenges.
- Accurate estimation of military advantage and harm to troops is difficult due to G→P map complexity.
Conclusions:
- Fundamental conceptual challenges in understanding the G→P map cast doubt on the practical implementation of the proposed ethical framework.
- Satisfying rigorous ethical standards for military genomic research may be unattainable with current scientific knowledge.
- The ethical application of military genomics requires a deeper understanding of genotype-phenotype correlations than currently exists.
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