WITHDRAWN: A Proposal for Genetically Informed Crew Selection, Role Assignment, and Breeding Programs for Long-Duration Space Settlements

As humanity advances toward long-term space habitation, maintaining crew cohesion, resilience, and utility in confined, high-stakes environments presents a critical challenge. Building on the growing evidence that behavior is deeply rooted in genetic and physiological phenomenon, this study proposes the “Shepherd of Sorting” framework, which is a biologically guided system designed to integrate genetic, behavioral, and physiological data to predict psychosocial compatibility, optimize role assignments, and support reproductive planning among interplanetary crews. The framework is grounded in principles of pleiotropy and gene–environment interaction, employing polygenic risk scores (PRS), multi-omics datasets, and machine learning algorithms to model crew dynamics and inform adaptive health interventions. The proposal proceeds in seven integrated stages: first, surveying the growing literature demonstrating genetic and physiological underpinnings of social, behavioral, and occupational traits; second, outlining the Shepherd of Sorting theoretical framework and its objectives; third, presenting a methodology for system validation in analog space environments; fourth, exploring biodata applications for crew composition, role matching, and mental health differentiation; fifth, introducing a data-driven human breeding and pairing framework designed for population viability in confined, resource-limited settings; sixth, describing the Shepherd platform—developed by the biotechnology company Laminomics—that operationalizes the model through real-time data integration, social modeling, and ethical decision support; and finally, reflecting on broader implications, limitations, and ethical considerations of genetically guided human systems for space and Earth. Preliminary simulations suggest the framework can enhance crew performance by enabling data-driven selection and role specialization, while ensuring offspring fitness and compatibility. By reframing behavioral traits as biologically emergent and context-sensitive, this approach offers transformative potential for space health governance and holds significant implications for psychiatry, workforce development, and public policy on Earth. Future research will focus on empirical validation of predictive models and ethical frameworks for implementation.