Global Genes A Leading Rare Disease Patient Advocacy Organization
Partner Description
Global Genes
Global Genes is a leading international patient advocacy organization dedicated to accelerating research, awareness, and collaboration across the rare disease community.
Challenge
Global Genes sought to understand how genes implicated in one rare disease might be mechanistically connected to genes involved in other rare diseases. Conventional literature reviews and siloed biological databases limited visibility into cross-disease molecular relationships, making it difficult to prioritize research, identify shared disease mechanisms, and support therapeutic repurposing strategies across thousands of rare conditions.
How CytoSolve® Helped
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CytoSolve® applied its computational systems architecture to integrate thousands of peer-reviewed molecular pathways into a unified, computable biological network.
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Rather than analyzing genes independently, the platform enabled Global Genes to map shared downstream molecular mechanisms across seemingly unrelated rare diseases.
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Identify common upstream regulators and regulatory feedback loops linking multiple genetic mutations.
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Quantitatively assess gene–gene interaction synergies within and across disease categories.
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This systems-level modeling approach revealed biological architecture that is not accessible through linear or disease-specific analysis methods.
Key Benefits Realized
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Revealed Hidden Connections
Identified dozens of previously unrecognized gene interconnections spanning neurological, metabolic, and immunological rare diseases.
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Prioritized Research Focus
Enabled clustering of diseases based on shared molecular drivers, informing funding priorities, research collaborations, and awareness initiatives.
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Accelerated Insight Generation
Achieved in weeks what would traditionally require years of manual literature review and data synthesis.
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Empowered Advocacy
Delivered scientifically robust, visualizable systems data to support cross-disease collaboration with researchers, pharmaceutical partners, and patient communities.
Identified dozens of previously unrecognized gene interconnections spanning neurological, metabolic, and immunological rare diseases.
Enabled clustering of diseases based on shared molecular drivers, informing funding priorities, research collaborations, and awareness initiatives.
Achieved in weeks what would traditionally require years of manual literature review and data synthesis.
Delivered scientifically robust, visualizable systems data to support cross-disease collaboration with researchers, pharmaceutical partners, and patient communities.