(Part III) The Mirror-Twin Paradox: Can a person who doesn't exist ...have a family? A new approach to DNA understanding the Implications of an Inverted Genome and its applications in Molecular Genetics, Neuroscience, and Medicine

Note: The present work has been deposited on Zenodo, HAL (technical record for timestamp), and Archive.org. Copyright protection has been registered in several countries. These deposits establish proof of authorship and priority. Please cite accordingly. EDIT June 17, 2025: In this link, I explain my methodology (took 30 secondes with an AI to invert a whole genome) and how I directly contacted the different DNA testing and AI companies involved in these results...and their answers! https://zenodo.org/records/15530310 Abstract: Can a person who doesn't exist ...have a family? Since the beginnings of modern genetics, we have studied the human genome in terms of its natural mutations, its heritability, and its role in species evolution. But what would happen if one could generate an inverted image of a human genome by applying a systematic transformation algorithm? This bold and unsettling question lies at the heart of the discovery you are about to explore. The concept of the DNA mirror twin rests on an idea as simple as it is unprecedented: to apply a complete, systematic transformation of the genome in which each purine and pyrimidine base is inverted (A↔G, C↔T), thereby creating an entirely new genetic profile based on a mirror structure. However, some of these inverted sequences are technically impossible in a real genome—they contradict molecular-structure constraints and natural sequencing motifs—but studying these hypothetical aberrations offers valuable insight into mutational mechanisms, algorithmic robustness, and the limits of genomic modeling. This approach, which far exceeds the random mutations observed in nature, raises a fundamental question: how far can a genome be altered while still remaining biologically plausible? The discovery did not stop at mere theoretical modeling. By applying this transformation to a real DNA data file and then querying the resulting mirror genome against genealogical databases, an entirely unexpected result emerged: genuine family matches were identified for an individual who, technically, does not exist (until 91 identical segments, and 30% shared DNA!). This finding poses major questions for both science and society. From a biological standpoint, it opens a new avenue for exploring the boundaries of the human genome. Could this approach be used to identify novel silent mutations, hidden functional variants, or previously unseen correlations between genes and diseases? If a mirror genome could exist in a viable form, what would be its effects on embryonic development and brain function? Medically, this approach could revolutionize precision medicine and pharmacogenomics. By comparing an individual with their theoretical mirror twin, might we gain deeper insight into how certain mutations influence treatment response? Could we model alternative genetic profiles to optimize therapy personalization? But this discovery extends beyond biology labs. It exposes a major ethical and security flaw: if an artificial genome can be interpreted as belonging to a real person, our genetic identification systems are not foolproof. What are the implications for forensic science, personal data protection, and the authenticity of DNA tests? Are we witnessing a new form of identity theft—not via documents, but via DNA itself? The significance of this research thus transcends biology, extending into artificial intelligence, bioethics, and DNA cryptography. This book, which traces the genesis of this discovery and explores its consequences, does not claim to provide all the answers but aims to spark an essential scientific and societal debate. If we can generate digital genetic twins, what does that say about our own identity? And if the key to certain complex pathologies lies hidden in the shadow of our DNA—in an inverted version we have never explored—what might we discover? Science advances by pushing the boundaries of knowledge and sometimes by challenging what we once thought immutable. The concept of the DNA mirror twin belongs to this endeavor. It is time for the scientific community to embrace it. Complete Research Corpus Kayser-Cuny, V. (2025). Meta-Genesis. Towards a Biology without Matter, based on Pure Logic. Multi-Scale Numerical Invariants and Fractal Properties of the Genetic Code (Abstract and compilation). Zenodo. https://zenodo.org/records/21002033 Kayser-Cuny, V. (2025). (Part 1) Multi-Scale Numerical Invariants and Fractal Properties of the Genetic Code: A Combinatorial and Atomic Analysis. Zenodo. https://zenodo.org/records/21002648 Kayser-Cuny, V. (2025). (Part 2) Multiscale Numerical Invariants and Fractal Properties of the Genetic Code: Internal Constraints and Multiscale Packet Distributions Revealing a Universal Grammar. Zenodo. https://doi.org/10.5281/zenodo.17272500 Kayser-Cuny, V. (2025). (Part IV-part 3) Multi-Scale Numerical Invariants and Fractal Properties of the Genetic Code: A Unified Theory of Biological Information, from Stars to Codons. Zenodo. https://doi.org/10.5281/zenodo.17370443 Kayser-Cuny, V. (2025). (Part VI-part 3) Multi-Scale Numerical Invariants and Fractal Properties of the Genetic Code: Data Availability [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17306204 Kayser-Cuny, V. (2025). Data Availability Part 2 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17368936 Kayser-Cuny, V. (2025). (Part III) The Mirror-Twin Paradox: A New Approach to DNA Understanding the Implications of an Inverted Genome and Its Applications in Molecular Genetics, Neuroscience, and Medicine. Zenodo. https://doi.org/10.5281/zenodo.15390489 Kayser-Cuny, V. (2025). Meta-Genesis. Towards a Biology Without Matter. From Boolean Algebra to the Expansion of Life: Binary Arithmetic and Multi-Dimensional Projections of the Genetic Code. Zenodo. https://doi.org/10.5281/zenodo.17494922 A Deterministic Method for the Generation, Simulation, and Assembly of De Novo Proteins Based on Numerical Invariants Intrinsic to the Genetic Code: Part 1. Kayser-Cuny, V. (2026). The Kayser–Cuny Mathematical Tables in Molecular and Synthetic Biology: A Molecular Information Framework (2026th ed.). MTMVP. https://zenodo.org/records/21131611 ISBN: 9782489162035 Part 2. Kayser-Cuny, V. (2026). PROOF OF CONCEPT Multi-scale Numerical Invariants and Fractal Properties of the Genetic Code: A Combinatorial and Atomic Analysis using the Erythrocyte (Red Blood Cell) as an Ideal Mathematical Model for AI-Based Proteomic Analysis. Zenodo. https://doi.org/10.5281/zenodo.21003215 The author 2023: Elected Fellow of the Linnean Society of London (Biology);2023: Elected Fellow of the Royal Anthropological Institute of Great Britain and Ireland;2024: Elected Full Member of the Genetics Society;2025: Affiliate Member of the Royal Society of Chemistry. Molecular geneticist by training, with specialization in particle physics, chemistry of Life, paleogenetics/evolutionary genetics, and astro/exobiology. Post-graduate in molecular cytogenetics in a French medical school. Academic and research trajectory spanning Canada, the United States, France, and Switzerland (Educational Outreach Internship at CERN, 2018).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.