ArticleInternational journal of dermatology2026
Improving Melanoma Risk Stratification of Skin Color Type by Polygenic Scores of Skin Color and Melanoma.
Article in International journal of dermatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Improving Melanoma Risk Stratification of Skin Color Type by Polygenic Scores of Skin Color and Melanoma.International journal of dermatology · 2026Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Fitzpatrick skin type (FST) is commonly used in clinical settings to stratify melanoma risk across different skin types. However, it is subjective and does not capture intra-type variability in risk. These limitations are particularly evident among lighter-skinned individuals, who constitute the majority of those with European ancestry and generally have a higher melanoma risk.
methodsWe assessed whether supplementing FST with validated polygenic scores for skin color (PGS
resultsFST distribution was as follows: Very fair (7.77%), fair (68.06%), light olive (18.56%), olive (1.87%), brown (2.96%), and black (0.78%), with corresponding melanoma prevalence of 1.94%, 1.31%, 0.70%, 0.45%, 0.15%, and 0% (P
conclusionsIntegrating PGS of skin color and melanoma with the conventional FST classification significantly improves melanoma risk stratification and addresses key limitations of the FST, which, while widely used, lacks sensitivity to intra-type risk variation.
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