Skin pigmentation, biogeographical ancestry and admixture mapping
Abstract
Ancestry informative markers (AIMs) are genetic loci showing alleles with large frequency differences between populations. AIMs can be used to estimate biogeographical ancestry at the level of the population, subgroup (e.g. cases and controls) and individual. Ancestry estimates at both the subgroup and individual level can be directly instructive regarding the genetics of the phenotypes that differ qualitatively or in frequency between populations. These estimates can provide a compelling foundation for the use of admixture mapping (AM) methods to identify the genes underlying these traits. We present details of a panel of 34 AIMs and demonstrate how such studies can proceed, by using skin pigmentation as a model phenotype. We have genotyped these markers in two population samples with primarily African ancestry, viz. African Americans from Washington D.C. and an African Caribbean sample from Britain, and in a sample of European Americans from Pennsylvania. In the two African population samples, we observed significant correlations between estimates of individual ancestry and skin pigmentation as measured by reflectometry (R(2)=0.21, P<0.0001 for the African-American sample and R(2)=0.16, P<0.0001 for the British African-Caribbean sample). These correlations confirm the validity of the ancestry estimates and also indicate the high level of population structure related to admixture, a level that characterizes these populations and that is detectable by using other tests to identify genetic structure. We have also applied two methods of admixture mapping to test for the effects of three candidate genes (TYR, OCA2, MC1R) on pigmentation. We show that TYR and OCA2 have measurable effects on skin pigmentation differences between the west African and west European parental populations. This work indicates that it is possible to estimate the individual ancestry of a person based on DNA analysis with a reasonable number of well-defined genetic markers. The implications and applications of ancestry estimates in biomedical research are discussed.
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Sex is a known confounder with skin pigmentation.
“Sex is a known confounder with skin pigmentation 24 that was not explicitly matched for in selecting study participants; thus, it was also included as a covariate in logistic regression.”
From A Genomewide Association Study of Skin Pigmentation in a South Asian Population (2007) · cites this paper as [24]
The TYR SNP rs1042602 is highly polymorphic in all European populations, but previous studies found that this SNP was not significantly associated with skin-reflectance measurements in a white population.
“In comparison, the TYR SNP rs1042602 is highly polymorphic in all European populations, but, despite its variability, previous studies found that this SNP was not significantly associated with skin-reflectance measurements in a white population.13,21,24,29”
From A Genomewide Association Study of Skin Pigmentation in a South Asian Population (2007) · cites this paper as [24]
A missense alteration in TYR, S192Y (rs1042602), is in linkage disequilibrium with the most significant SNP in GRM5 (rs10831496) in this sample.
“a missense alteration in TYR, S192Y (rs1042602) [11] (Figure 4b), is in linkage disequilibrium with the most significant SNP in GRM5 (rs10831496) in this sample”
From Genetic Architecture of Skin and Eye Color in an African-European Admixed Population (2013) · cites this paper as [11]
OCA2 was originally considered a strong candidate gene for Afro-European pigmentary variation based on allele distribution patterns of closely linked SNPs and because of a strong association with blue vs. brown eye color in populations of European ancestry.
“OCA2 was originally considered a strong candidate gene for Afro-European pigmentary variation based on allele distribution patterns of closely linked SNPs [11], [14], [34], [35], and because of a strong association with blue vs. brown eye color in populations of European ancestry [4], [41].”
From Genetic Architecture of Skin and Eye Color in an African-European Admixed Population (2013) · cites this paper as [11]
The same trend in M index was reported previously in a sample of European Americans.
“The same trend in M index was reported previously in a sample of European Americans [38].”
From Genome-Wide Association Studies of Quantitatively Measured Skin, Hair, and Eye Pigmentation in Four European Populations (2012) · cites this paper as [38]
Differences in skin pigmentation between sexes are likely population specific: whereas DermaSpectrometer M index measurements in this study show European males to have lighter skin pigmentation than European females, measurements in Island Melanesian, African Caribbeans, and African Americans have shown that in these populations males have darker skin pigmentation than females.
“Lastly, we emphasize that differences in skin pigmentation between sexes are likely population specific. Whereas DermaSpectrometer M index measurements in this study show European males to have lighter skin pigmentation than European females, DermaSpectrometer M index measurements of skin pigmentation in Island Melanesian, African Caribbeans, and African Americans have shown that in these populat”
From Genome-Wide Association Studies of Quantitatively Measured Skin, Hair, and Eye Pigmentation in Four European Populations (2012) · cites this paper as [38]
The rs1042602 (p.Ser192Tyr) variant of TYR, affecting the rate-limiting enzyme in melanin biosynthesis, further reduces melanin levels.
“The rs1042602 (p.Ser192Tyr) variant of TYR , affecting the rate-limiting enzyme in melanin biosynthesis, further reduces melanin levels ( Shriver et al., 2003 ).”
From The genetic architecture of human skin pigmentation: evolution and adaptation across global populations (2026) · cites this paper as Shriver et al., 2003
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Norton, H. L., Edwards, M., Krithika, S., Johnson, M., Werren, E. A., & Parra, E. J. (2016) · American Journal of Physical Anthropology · doi:10.1002/ajpa.22861 · Cited by 30 · see citing works
Self-citationBose, A., Sengupta, M., Maitra, S., Bandyopadhyay, A. R., & Schaschl, H. (2026) · Frontiers in Genetics · doi:10.3389/fgene.2026.1870791 · Cited by 2 · see citing works
- Authors
- Shriver, M. D., Parra, E. J., Dios, S., Bonilla, C., Norton, H., Jovel, C., Pfaff, C., Jones, C., Massac, A., Cameron, N., Baron, A., Jackson, T., Argyropoulos, G., Jin, L., Hoggart, C. J., McKeigue, P. M., & Kittles, R. A.
- Affiliations
- Pennsylvania State University (US)
- Howard University (US)
- Pennington Biomedical Research Center (US)
- London School of Hygiene & Tropical Medicine (GB)
- Corresponding author
- Shriver, Mark D.
- ORCID
- Venue
- Human Genetics
- Published
- 2003-02-11
- Volume
- 112
- Issue
- 4
- Pages
- 387-399
- ISSN
- 0018-7348 (ISSN-L)
- 0340-6717
- 1432-1203
- OpenAlex
- W1480933312
- Cited by
- 549
- References
- 52
- Citations by year
- 2026: 4 · 2025: 13 · 2024: 11 · 2023: 13 · 2022: 14 · 2021: 15 · 2020: 15 · 2019: 21 · 2018: 16 · 2017: 19 · 2016: 17 · 2015: 27 · 2014: 31 · 2013: 19 · 2012: 23
- FWCI
- 16.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Human Genetics (publishedVersion)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (submittedVersion)
- Funders
- Pennsylvania State University
- National Institutes of Health (5r01mh060343-03)
- National Institute of Mental Health (MH 60343)
- National Human Genome Research Institute (R01HG002154, HG-002154)
- National Center for Research Resources (M01 RR10732, M01RR010732)
- NIH Clinical Center
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- skin pigmentation, ancestry informative markers, biogeographical ancestry, admixture mapping, African Americans, African Caribbeans, European Americans, population structure, TYR, OCA2, MC1R, reflectometry
- MeSH terms
- Africa, Black or African American, Carrier Proteins, Chromosome Mapping, Europe, United Kingdom, Humans, Membrane Proteins, Skin Pigmentation, Monophenol Monooxygenase, West Indies, Receptors, Corticotropin, Membrane Transport Proteins, Receptors, Melanocortin, Black People, White People
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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