ArticleSkin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)2026
Skin Colour Does Not Define Ethnicity: Quantifying Variation and Overlap Across Diverse Populations.
Article in Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSkin colour is a prominent human trait historically used to define ethnicity, yet its validity as a classification tool remains questionable. MATERIALS AND
methodsWe quantitatively analyse over 14 000 skin reflectance measurements from eight ethnically diverse groups in the International Skin Spectra Archive (ISSA), using a standard colour space designed to model human visual perception. We assess intragroup variation and intergroup overlap through two complementary approaches: individual-level perceptual differences and group-level shared gamut volumes.
resultsResults show that within-group variability in chromaticity and lightness frequently exceeds between-group differences. At the individual level, 89.4% (95% CI: 81.5%-91.9%) of samples have perceptually indistinguishable counterparts across ethnicities. At the group level, the median shared gamut overlap is 60.5% (95% CI: 54.5%-63.6%), indicating substantial overlap in skin colour distributions. The two methods correlate strongly (r = 0.83, p < 0.001), confirming robust intergroup overlap.
conclusionSkin colour exhibits high within-group dispersion and extensive between-group overlap. These findings challenge the use of skin colour as a reliable indicator of ethnicity and underscore the need for objective, data-driven classification frameworks. They also highlight the complex, continuous nature of human skin variation, beyond simplistic ethnic categories.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.