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<p>Despite advances in dermatogenomics, the global skincare industry continues to rely on generalized formulation strategies that overlook population-specific genetic variation. This study introduces a mutation-aware framework that bridges this translational gap through two novel metrics: the Mutation Burden Index (MBI)—which quantifies regional genetic vulnerability across nine core skin function domains—and the Population Compatibility Burden (PCB)—which measures the alignment between current commercial formulations and regional genomic needs. Using a curated database of more than 200 authenticated cosmeceutical products, we mapped ingredient functionality against regional MBI profiles. Results reveal a stark compatibility gap: regions with the highest burden (e.g., Africa, South Asia) receive the least functionally aligned products, with average compatibility scores as low as 0.35. In contrast, Europe—despite lower burden—achieves scores &gt; 0.70. Simulated formulations informed by MBI scores increased compatibility to &gt; 0.80 in underserved regions, demonstrating the potential for 50% gains in biological relevance without individualized genotyping. A machine learning classifier trained on MBI vectors achieved strong performance (F1 = 0.837), and SHAP-based interpretation highlighted barrier and pigmentation pathways as key drivers of product-region mismatch. In contrast to commercial AI platforms offer black-box personalization with minimal genomic input and no interpretability, our model provides transparent, biologically grounded, and reproducible formulation logic. By repositioning personalization from individual-level luxury to population-scale equity, this work establishes a practical foundation for genomically aligned skincare—anchored in functional biology, enabled by AI, and designed for global impact.</p>

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Mutation-aware formulation: a genomic framework for equitable global dermocosmetics

  • 期刊论文

  • 发表日期：

    2025年8月13日

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  • Eqram Rahman,
  • William Richard Webb,
  • Parinitha Rao,
  • Jean D. A. Carruthers

摘要

Despite advances in dermatogenomics, the global skincare industry continues to rely on generalized formulation strategies that overlook population-specific genetic variation. This study introduces a mutation-aware framework that bridges this translational gap through two novel metrics: the Mutation Burden Index (MBI)—which quantifies regional genetic vulnerability across nine core skin function domains—and the Population Compatibility Burden (PCB)—which measures the alignment between current commercial formulations and regional genomic needs. Using a curated database of more than 200 authenticated cosmeceutical products, we mapped ingredient functionality against regional MBI profiles. Results reveal a stark compatibility gap: regions with the highest burden (e.g., Africa, South Asia) receive the least functionally aligned products, with average compatibility scores as low as 0.35. In contrast, Europe—despite lower burden—achieves scores > 0.70. Simulated formulations informed by MBI scores increased compatibility to > 0.80 in underserved regions, demonstrating the potential for 50% gains in biological relevance without individualized genotyping. A machine learning classifier trained on MBI vectors achieved strong performance (F1 = 0.837), and SHAP-based interpretation highlighted barrier and pigmentation pathways as key drivers of product-region mismatch. In contrast to commercial AI platforms offer black-box personalization with minimal genomic input and no interpretability, our model provides transparent, biologically grounded, and reproducible formulation logic. By repositioning personalization from individual-level luxury to population-scale equity, this work establishes a practical foundation for genomically aligned skincare—anchored in functional biology, enabled by AI, and designed for global impact.