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Modern genetics has made remarkable progress in interpreting genomic information, identifying disease-associated variants, and developing gene-editing technologies. Yet biological and medical interventions do not always produce fully predictable outcomes, even when relevant genetic factors have been identified. This does not diminish the value of genomic interpretation. Rather, it invites a deeper examination of the relationship between genomic information and the biological processes in which it participates. Is the genome a cause, a consequence, or both? This study presents a literature-based conceptual framework for exploring this question, drawing on existing research concerning human genetic variation, DNA replication timing, regional mutation patterns, chromatin organization, and the interpretation of genetic disease. Although human genomes share a substantial proportion of their sequence, genetic differences persist across populations, families, and individuals. These observations raise a broader interpretive question: should the genome be understood primarily as inherited information that influences biological function, or might its observable patterns also reflect the processes through which genomic configurations are maintained and altered? This study does not argue that genomic sequences are merely passive consequences of biological activity, nor does it suggest that established mechanisms of genetics are inadequate. Instead, it explores whether a complementary perspective—one that considers genomic information alongside the biological processes involved in its replication, maintenance, and variation—might help formulate additional research questions. These include questions relevant to the interpretation of genetic disease and the variable outcomes of biological and medical interventions. The central contribution of this study is not to offer a definitive answer, but to formulate a question that may encourage further scientific inquiry. If the genome is understood not only as inherited information but also as a record shaped by biological processes, what can that record reveal, and what might remain difficult to understand from the genome alone?
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Sungmin Lee (2026) studied this question.
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