Why Identical Genes Lead to Different Diseases: A New Foundational Model of Human Susceptibility

This paper introduces a breakthrough model explaining why genetically similar—or even nearly identical—individuals develop completely different diseases. Using a high-resolution emergent-field simulation, the study reveals that disease does not originate solely from genes or environment, but from the stability of the entire biological interaction architecture. Even a 1% difference in environmental exposure can reshape systemic coherence and produce opposite health outcomes. The work provides the first computational demonstration that disease susceptibility is determined by a person’s unique 60-node emergent structure—a stability map that dictates how their system absorbs or amplifies microscopic perturbations. This framework resolves long-standing biological paradoxes, including twin disease divergence, variable mutation expression, and unpredictable immune disorders. The paper proposes a new foundation for personalized medicine, where predicting and preventing disease becomes possible by analyzing system stability rather than genetic content alone.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-07
DOI
https://doi.org/10.5281/zenodo.17845435
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
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article

Why Identical Genes Lead to Different Diseases: A New Foundational Model of Human Susceptibility

Zenodo (CERN European Organization for Nuclear Research)
Bioinformatics and Genomic Networks
article

Why Identical Genes Lead to Different Diseases: A New Foundational Model of Human Susceptibility

article en

Abstract

This paper introduces a breakthrough model explaining why genetically similar—or even nearly identical—individuals develop completely different diseases. Using a high-resolution emergent-field simulation, the study reveals that disease does not originate solely from genes or environment, but from the stability of the entire biological interaction architecture. Even a 1% difference in environmental exposure can reshape systemic coherence and produce opposite health outcomes. The work provides the first computational demonstration that disease susceptibility is determined by a person’s unique 60-node emergent structure—a stability map that dictates how their system absorbs or amplifies microscopic perturbations. This framework resolves long-standing biological paradoxes, including twin disease divergence, variable mutation expression, and unpredictable immune disorders. The paper proposes a new foundation for personalized medicine, where predicting and preventing disease becomes possible by analyzing system stability rather than genetic content alone.

Zenodo (CERN European Organization for Nuclear Research)
Lumen (United Kingdom) (GB)
Openalex Percentile: Top 41%
Bioinformatics and Genomic Networks
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