Evidence map›Paper›PMID 41822993›Full record

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.

Yan Lu, Kaida Xiao, Changjun Li, Michael Pointer

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In one paragraph

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.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yan LuLeeds Institute of Textile and Colour, School of Design, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0002-9848-3308
Kaida XiaoLeeds Institute of Textile and Colour, School of Design, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0001-7197-7159
Changjun LiSchool of Computing, University of Science and Technology Liaoning, Anshan, China.ORCID https://orcid.org/0000-0002-9942-7690
Michael PointerLeeds Institute of Textile and Colour, School of Design, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0003-0063-1753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

EthnicitySkin PigmentationColorimetryHumansCIELAB colour spaceethnicityISSAperceptual overlapskin appearanceskin colourskin colour variationskin gamut

Identifiers

PMID41822993
PMCPMC13097458

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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.