Skip to main content
Log in

Skin pigmentation and genetic variants in an admixed Brazilian population of primarily European ancestry

  • Original Article
  • Published:
International Journal of Legal Medicine Aims and scope Submit manuscript

Abstract

Although many genes have been shown to be associated with human pigmentary traits and forensic prediction assays exist (e.g. HIrisPlex-S), the genetic knowledge about skin colour remains incomplete. The highly admixed Brazilian population is an interesting study population for investigation of the complex genotype-phenotype architecture of human skin colour because of its large variation. Here, we compared variants in 22 pigmentary genes with quantitative skin pigmentation levels on the buttock, arm, and forehead areas of 266 genetically admixed Brazilian individuals. The genetic ancestry of each individual was estimated by typing 46 AIM-InDels. The mean proportion of genetic ancestry was 68.8% European, 20.8% Sub-Saharan African, and 10.4% Native American. A high correlation (adjusted R2 = 0.65, p < 0.05) was observed between nine SNPs and quantitative skin pigmentation using multiple linear regression analysis. The correlations were notably smaller between skin pigmentation and biogeographic ancestry (adjusted R2 = 0.45, p < 0.05), or markers in the leading forensic skin colour prediction system, the HIrisPlex-S (adjusted R2 = 0.54, p < 0.05). Four of the nine SNPs, OCA2 rs1448484 (rank 2), APBA2 rs4424881 (rank 4), MFSD12 rs10424065 (rank 8), and TYRP1 1408799 (rank 9) were not investigated as part of the HIrisPlex-S selection process, and therefore not included in the HIrisPlex-S model. Our results indicate that these SNPs account for a substantial part of the skin colour variation in individuals of admixed ancestry. Hence, we suggest that these SNPs are considered when developing future skin colour prediction models.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Byard PJ (1981) Quantitative genetics of human skin color. Yearb Phys Anthropol 24:123–127

    Google Scholar 

  2. Posthuma D, Visscher PM, Willemsen G, Zhu G, Martin NG, Slagboom PE, De Geus EJ, Boomsma DI (2006) Replicated linkage for eye color on 15q using comparative ratings of sibling pairs. Behav Genet 36(1):12–17

    PubMed  Google Scholar 

  3. Walsh S, Lindenbergh A, Zuniga SB, Sijen T, de Knijff P, Kayser M, Ballantyne KN (2011) Developmental validation of the IrisPlex system: determination of blue and brown iris colour for forensic intelligence. Forensic Sci Int Genet 5(5):464–471

    CAS  PubMed  Google Scholar 

  4. Walsh S, Chaitanya L, Clarisse L, Wirken L, Draus-Barini J, Kovatsi L, Maeda H, Ishikawa T, Sijen T, de Knijff P, Branicki W, Liu F, Kayser M (2014) Developmental validation of the HIrisPlex system: DNA-based eye and hair colour prediction for forensic and anthropological usage. Forensic Sci Int Genet 9C:150–161

    Google Scholar 

  5. Chaitanya L, Breslin K, Zuniga S, Wirken L, Pospiech E, Kukla-Bartoszek M, Sijen T, Knijff P, Liu F, Branicki W, Kayser M, Walsh S (2018) The HIrisPlex-S system for eye, hair and skin colour prediction from DNA: introduction and forensic developmental validation. Forensic Sci Int Genet 35:123–135

    CAS  PubMed  Google Scholar 

  6. Eiberg H, Troelsen J, Nielsen M, Mikkelsen A, Mengel-From J, Kjaer KW, Hansen L (2008) Blue eye color in humans may be caused by a perfectly associated founder mutation in a regulatory element located within the HERC2 gene inhibiting OCA2 expression. Hum Genet 123:177–187

    CAS  PubMed  Google Scholar 

  7. Sturm RA, Duffy DL, Zhao ZZ, Leite FP, Stark MS, Hayward NK, Martin NG, Montgomery GW (2008) A single SNP in an evolutionary conserved region within intron 86 of the HERC2 gene determines human blue-brown eye color. Am J Hum Genet 82(2):424–431

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Valverde P, Healy E, Jackson I, Rees JL, Thody AJ (1995) Variants of the melanocyte-stimulating hormone receptor gene are associated with red hair and fair skin in humans. Nat Genet 11(3):328–330

    CAS  PubMed  Google Scholar 

  9. Graf J, Hodgson R, van Daal A (2005) Single nucleotide polymorphisms in the MATP gene are associated with normal human pigmentation variation. Hum Mutat 25(3):278–284

    CAS  PubMed  Google Scholar 

  10. Mengel-From J, Wong TH, Morling N, Rees JL, Jackson IJ (2009) Genetic determinants of hair and eye colours in the Scottish and Danish populations, BMC Genet 10(88)

  11. Stokowski RP, Pant PV, Dadd T, Fereday A, Hinds DA, Jarman C, Filsell W, Ginger RS, Green MR, van der Ouderaa FJ, Cox DR (2007) A genomewide association study of skin pigmentation in a South Asian population. Am J Hum Genet 81(6):1119–1132

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Liu F, Visser M, Duffy DL, Hysi PG, Jacobs LC, Lao O, Zhong K, Walsh S, Chaitanya L, Wollstein A, Zhu G, Montgomery GW, Henders AK, Mangino M, Glass D, Bataille V, Sturm RA, Rivadeneira F, Hofman A, van Ijcken WF, Uitterlinden AG, Palstra RJ, Spector TD, Martin NG, Nijsten TE, Kayser M (2015) Genetics of skin color variation in Europeans: genome-wide association studies with functional follow-up. Hum Genet 134(8):823–835

    PubMed  PubMed Central  Google Scholar 

  13. Maronas O, Phillips C, Sochtig J, Gomez-Tato A, Cruz R, Alvarez-Dios J, de Cal MC, Ruiz Y, Fondevila M, Carracedo A, Lareu MV (2014) Development of a forensic skin colour predictive test 4. Forensic Sci Int Genet 13:34–44

    PubMed  Google Scholar 

  14. Walsh S, Chaitanya L, Breslin K, Muralidharan C, Bronikowska A, Pospiech E, Koller J, Kovatsi L, Wollstein A, Branicki W, Liu F, Kayser M (2017) Global skin colour prediction from DNA. Hum Genet 136(7):847–863

    CAS  PubMed  PubMed Central  Google Scholar 

  15. Valenzuela RK, Henderson MS, Walsh MH, Garrison NA, Kelch JT, Cohen-Barak O, Erickson DT, John MF, Bruce WJ, Cheng KC, Ito S, Wakamatsu K, Frudakis T, Thomas M, Brilliant MH (2010) Predicting phenotype from genotype: normal pigmentation. J Forensic Sci 55(2):315–322

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Goncalves VF, Carvalho CM, Bortolini MC, Bydlowski SP, Pena SD (2008) The phylogeography of African Brazilians. Hum Hered 65(1):23–32

    PubMed  Google Scholar 

  17. Manta FS, Pereira R, Caiafa A, Silva DA, Gusmao L, Carvalho EF (2013) Analysis of genetic ancestry in the admixed Brazilian population from Rio de Janeiro using 46 autosomal ancestry-informative indel markers 2. Ann Hum Biol 40(1):94–98

    PubMed  Google Scholar 

  18. Kongshoj B, Thorleifsson A, Wulf HC (2006) Pheomelanin and eumelanin in human skin determined by high-performance liquid chromatography and its relation to in vivo reflectance measurements. Photodermatol Photoimmunol Photomed 22(3):141–147

    CAS  PubMed  Google Scholar 

  19. Jacobs LC, Wollstein A, Lao O, Hofman A, Klaver CC, Uitterlinden AG, Nijsten T, Kayser M, Liu F (2012) Comprehensive candidate gene study highlights UGT1A and BNC2 as new genes determining continuous skin color variation in Europeans. Hum Genet 132(2):147–158

    PubMed  Google Scholar 

  20. Branicki W, Liu F, van Duijn K, Draus-Barini J, Pospiech E, Walsh S, Kupiec T, Wojas-Pelc A, Kayser M (2011) Model-based prediction of human hair color using DNA variants. Hum Genet 129(4):443–454

    PubMed  PubMed Central  Google Scholar 

  21. Graf J, Voisey J, Hughes I, van Daal A (2007) Promoter polymorphisms in the MATP (SLC45A2) gene are associated with normal human skin color variation. Hum Mutat 28(7):710–717

    CAS  PubMed  Google Scholar 

  22. Han J, Kraft P, Nan H, Guo Q, Chen C, Qureshi A, Hankinson SE, Hu FB, Duffy DL, Zhao ZZ, Martin NG, Montgomery GW, Hayward NK, Thomas G, Hoover RN, Chanock S, Hunter DJ (2008) A genome-wide association study identifies novel alleles associated with hair color and skin pigmentation. PLoS Genet 4(5):e1000074

    PubMed  PubMed Central  Google Scholar 

  23. Quillen EE, Bauchet M, Bigham AW, Delgado-Burbano ME, Faust FX, Klimentidis YC, Mao X, Stoneking M, Shriver MD (2012) OPRM1 and EGFR contribute to skin pigmentation differences between indigenous Americans and Europeans. Hum Genet 131(7):1073–1080

    CAS  PubMed  Google Scholar 

  24. Sulem P, Gudbjartsson DF, Stacey SN, Helgason A, Rafnar T, Jakobsdottir M, Steinberg S, Gudjonsson SA, Palsson A, Thorleifsson G, Palsson S, Sigurgeirsson B, Thorisdottir K, Ragnarsson R, Benediktsdottir KR, Aben KK, Vermeulen SH, Goldstein AM, Tucker MA, Kiemeney LA, Olafsson JH, Gulcher J, Kong A, Thorsteinsdottir U, Stefansson K (2008) Two newly identified genetic determinants of pigmentation in Europeans. Nat Genet 40(7):835–837

    CAS  PubMed  Google Scholar 

  25. Visser M, Palstra RJ, Kayser M (2014) Human skin color is influenced by an intergenic DNA polymorphism regulating transcription of the nearby BNC2 pigmentation gene. Hum Mol Genet 23:5750–5762

    CAS  PubMed  Google Scholar 

  26. Liu F, van Duijn K, Vingerling JR, Hofman A, Uitterlinden AG, Janssens AC, Kayser M (2009) Eye color and the prediction of complex phenotypes from genotypes. Curr Biol 19(5):R192–R193

    CAS  PubMed  Google Scholar 

  27. Cerqueira CC, Hunemeier T, Gomez-Valdes J, Ramallo V, Volasko-Krause CD, Barbosa AA, Vargas-Pinilla P, Dornelles RC, Longo D, Rothhammer F, Bedoya G, Canizales-Quinteros S, Acuna-Alonzo V, Gallo C, Poletti G, Gonzalez-Jose R, Salzano FM, Callegari-Jacques SM, Schuler-Faccini L, Ruiz-Linares A, Catira BM (2014) Implications of the admixture process in skin color molecular assessment 1. PLoS One 9(5):e96886

    PubMed  PubMed Central  Google Scholar 

  28. Myles S, Somel M, Tang K, Kelso J, Stoneking M (2007) Identifying genes underlying skin pigmentation differences among human populations. Hum Genet 120(5):613–621

    CAS  PubMed  Google Scholar 

  29. Edwards M, Bigham A, Tan J, Li S, Gozdzik A, Ross K, Jin L, Parra EJ (2010) Association of the OCA2 polymorphism His615Arg with melanin content in east Asian populations: further evidence of convergent evolution of skin pigmentation. PLoS Genet 6(3):e1000867

    PubMed  PubMed Central  Google Scholar 

  30. Lona-Durazo F, Hernandez-Pacheco N, Fan S, Zhang T, Choi J, Kovacs MA, Loftus SK, Le P, Edwards M, Fortes-Lima CA, Eng C, Huntsman S, Hu D, Gómez-Cabezas EJ, Marín-Padrón LC, Grauholm J, Mors O, Burchard EG, Norton HL, Pavan WJ, Brown KM, Tishkoff S, Pino-Yanes M, Beleza S, Marcheco-Teruel B, Parra EJ (2019) Meta-analysis of GWA studies provides new insights on the genetic architecture of skin pigmentation in recently admixed populations. BMC Genet 20(1):59

    PubMed  PubMed Central  Google Scholar 

  31. Beleza S, Johnson NA, Candille SI, Absher DM, Coram MA, Lopes J, Campos J, Araujo II, Anderson TM, Vilhjalmsson BJ, Nordborg M, Silva CE, Shriver MD, Rocha J, Barsh GS, Tang H (2013) Genetic architecture of skin and eye color in an African-European admixed population. PLoS Genet 9(3):e1003372

    CAS  PubMed  PubMed Central  Google Scholar 

  32. Lamason RL, Mohideen MA, Mest JR, Wong AC, Norton HL, Aros MC, Jurynec MJ, Mao X, Humphreville VR, Humbert JE, Sinha S, Moore JL, Jagadeeswaran P, Zhao W, Ning G, Makalowska I, McKeigue PM, O'donnell D, Kittles R, Parra EJ, Mangini NJ, Grunwald DJ, Shriver MD, Canfield VA, Cheng KC (2005) SLC24A5, a putative cation exchanger, affects pigmentation in zebrafish and humans. Science 310(5755):1782–1786

    CAS  PubMed  Google Scholar 

  33. Hart KL, Kimura SL, Mushailov V, Budimlija ZM, Prinz M, Wurmbach E (2013) Improved eye- and skin-color prediction based on 8 SNPs. Croat Med J 54(3):248–256

    CAS  PubMed  PubMed Central  Google Scholar 

  34. Andersen JD, Pereira V, Pietroni C, Mikkelsen M, Johansen P, Borsting C, Morling N (2014) Next-generation sequencing of multiple individuals per barcoded library by deconvolution of sequenced amplicons using endonuclease fragment analysis. Biotechniques 57(2):91–94

    CAS  PubMed  Google Scholar 

  35. Dodt M, Roehr JT, Ahmed R, Dieterich C (2012) FLEXBAR--flexible barcode and adapter processing for next-generation sequencing platforms. Biology 1:895–905

    PubMed  PubMed Central  Google Scholar 

  36. Li H, Durbin R (2009) Fast and accurate short read alignment with Burrows-Wheeler transform 20. Bioinformatics 25(14):1754–1760

    CAS  PubMed  PubMed Central  Google Scholar 

  37. McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, DePristo MA (2010) The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res 20(9):1297–1303

    CAS  PubMed  PubMed Central  Google Scholar 

  38. Johansen P, Andersen JD, Madsen LN, Ullum H, Glud M, Borsting C, Gniadecki R, Morling N (2016) Pigmentary markers in Danes--associations with quantitative skin colour, nevi count, familial atypical multiple-mole, and melanoma syndrome. PLoS One 11(3):e0150381

    PubMed  PubMed Central  Google Scholar 

  39. Pereira R, Phillips C, Pinto N, Santos C, dos Santos SE, Amorim A, Carracedo A, Gusmao L (2012) Straightforward inference of ancestry and admixture proportions through ancestry-informative insertion deletion multiplexing. PLoS One 7(1):e29684

    CAS  PubMed  PubMed Central  Google Scholar 

  40. Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155(2):945–959

    CAS  PubMed  PubMed Central  Google Scholar 

  41. Cann HM, de Toma C, Cazes L, Legrand MF, Morel V, Piouffre L, Bodmer J, Bodmer WF, Bonne-Tamir B, Cambon-Thomsen A, Chen Z, Chu J, Carcassi C, Contu L, Du R, Excoffier L, Ferrara GB, Friedlaender JS, Groot H, Gurwitz D, Jenkins T, Herrera RJ, Huang X, Kidd J, Kidd KK, Langaney A, Lin AA, Mehdi SQ, Parham P, Piazza A, Pistillo MP, Qian Y, Shu Q, Xu J, Zhu S, Weber JL, Greely HT, Feldman MW, Thomas G, Dausset J, Cavalli-Sforza LL (2002) A human genome diversity cell line panel. Science 296(5566):261–262

    CAS  PubMed  Google Scholar 

  42. Rosenberg NA (2006) Standardized subsets of the HGDP-CEPH human genome diversity cell line panel, accounting for atypical and duplicated samples and pairs of close relatives. Ann Hum Genet 70(Pt 6):841–847

    CAS  PubMed  Google Scholar 

  43. Yin P, Fan X (2001) Estimating R2 shrinkage in multiple regression: a comparison of different analytical methods. J Exp Educ 69(2):203–244

    Google Scholar 

  44. Venables WN, Ripley BD (2002) Modern Applied Statistics with S, 4 ed. Springer-Verlag, New York

    Google Scholar 

  45. Barrett JC, Fry B, Maller J, Daly MJ (2005) Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 21(2):263–265

    CAS  PubMed  Google Scholar 

  46. Machiela MJ, Chanock SJ (2015) LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants. Bioinformatics 31(21):3555–3557

    CAS  PubMed  PubMed Central  Google Scholar 

  47. Shriver MD, Parra EJ, 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 CJ, McKeigue PM, Kittles RA (2003) Skin pigmentation, biogeographical ancestry and admixture mapping. Hum Genet 112(4):387–399

    PubMed  Google Scholar 

  48. Martinez-Cadenas C, Pena-Chilet M, Ibarrola-Villava M, Ribas G (2013) Gender is a major factor explaining discrepancies in eye colour prediction based on HERC2/OCA2 genotype and the IrisPlex model, Forensic Sci Int Genet 7(4)

  49. Pietroni C, Andersen JD, Johansen P, Andersen MM, Harder S, Paulsen R, Borsting C, Morling N (2014) The effect of gender on eye colour variation in European populations and an evaluation of the IrisPlex prediction model. Forensic Sci Int Genet 11C:1–6

    Google Scholar 

  50. Pereira V, Mogensen HS, Borsting C, Morling N (2017) Evaluation of the precision ID ancestry panel for crime case work: a SNP typing assay developed for typing of 165 ancestral informative markers. Forensic Sci Int Genet 28:138–145

    CAS  PubMed  Google Scholar 

  51. Kosoy R, Nassir R, Tian C, White PA, Butler LM, Silva G, Kittles R, Alarcon-Riquelme ME, Gregersen PK, Belmont JW, De La Vega FM, Seldin MF (2009) Ancestry informative marker sets for determining continental origin and admixture proportions in common populations in America. Hum Mutat 30(1):69–78

    PubMed  PubMed Central  Google Scholar 

  52. Kidd KK, Speed WC, Pakstis AJ, Furtado MR, Fang R, Madbouly A, Maiers M, Middha M, Friedlaender FR, Kidd JR (2014) Progress toward an efficient panel of SNPs for ancestry inference 6. Forensic Sci Int Genet 10:23–32

    CAS  PubMed  Google Scholar 

  53. Phillips C, McNevin D, Kidd KK, Lagace R, Wootton S, de la Puente M, Freire-Aradas A, Mosquera-Miguel A, Eduardoff M, Gross T, Dagostino L, Power D, Olson S, Hashiyada M, Oz C, Parson W, Schneider PM, Lareu MV, Daniel R (2019) MAPlex - a massively parallel sequencing ancestry analysis multiplex for Asia-Pacific populations. Forensic Sci Int Genet 42:213–226

    CAS  PubMed  Google Scholar 

  54. Phillips C, Parson W, Lundsberg B, Santos C, Freire-Aradas A, Torres M, Eduardoff M, Borsting C, Johansen P, Fondevila M, Morling N, Schneider P, Carracedo A, Lareu MV Building a forensic ancestry panel from the ground up: the EUROFORGEN global AIM-SNP set. Forensic Sci Int Genet 11

  55. Fitzpatrick TB (1988) The validity and practicality of sun-reactive skin types I through VI. Arch Dermatol 124(6):869–871

    CAS  PubMed  Google Scholar 

  56. Ravnbak MH (2010) Objective determination of Fitzpatrick skin type. Dan Med Bull 57(8):B4153

    PubMed  Google Scholar 

  57. Meyer OS, Borsting C, Andersen JD (2019) Perception of blue and brown eye colours for forensic DNA phenotyping, Forensic Science International: Genetics Supplement Series

  58. Nan H, Kraft P, Qureshi AA, Guo Q, Chen C, Hankinson SE, Hu FB, Thomas G, Hoover RN, Chanock S, Hunter DJ, Han J (2009) Genome-wide association study of tanning phenotype in a population of European ancestry. J Invest Dermatol 129(9):2250–2257

    CAS  PubMed  PubMed Central  Google Scholar 

  59. Andersen JD, Pietroni C, Johansen P, Andersen MM, Pereira V, Borsting C, Morling N (2016) Importance of nonsynonymous OCA2 variants in human eye color prediction. Mol Genet Genomic Med 4:420–430

    CAS  PubMed  PubMed Central  Google Scholar 

  60. Hysi PG, Valdes AM, Liu F, Furlotte NA, Evans DM, Bataille V, Visconti A, Hemani G, McMahon G, Ring SM, Smith GD, Duffy DL, Zhu G, Gordon SD, Medland SE, Lin BD, Willemsen G, Hottenga JJ, Vuckovic D, Girotto G, Gandin I, Sala C, Concas MP, Brumat M, Gasparini P, Toniolo D, Cocca M, Robino A, Yazar S, Hewitt AW, Chen Y, Zeng C, Uitterlinden AG, Ikram MA, Hamer MA, van Duijn CM, Nijsten T, Mackey DA, Falchi M, Boomsma DI, Martin NG, International Visible Trait Genetics Consortium, Hinds DA, Kayser M, Spector TD (2018) Genome-wide association meta-analysis of individuals of European ancestry identifies new loci explaining a substantial fraction of hair color variation and heritability. Nat Genet 50(5):652–656

    CAS  PubMed  PubMed Central  Google Scholar 

  61. Visconti A, Duffy DL, Liu F, Zhu G, Wu W, Chen Y, Hysi PG, Zeng C, Sanna M, Iles MM, Kanetsky PA, Demenais F, Hamer MA, Uitterlinden AG, Ikram MA, Nijsten T, Martin NG, Kayser M, Spector TD, Han J, Bataille V, Falchi M (2018) Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure. Nat Commun 9(1684):1684

    PubMed  PubMed Central  Google Scholar 

  62. Morgan MD, Pairo-Castineira E, Rawlik K, Canela-Xandri O, Rees J, Sims D, Tenesa A, Jackson IJ (2018) Genome-wide study of hair colour in UK Biobank explains most of the SNP heritability Nat Commun 9(5271)

Download references

Acknowledgements

We thank Major Tatiana L. S. Nogueira and Colonel Lucio Aparecido Luiz for organising the sample collection at IBEx, and Andrea Oliveira, Anna Carolina Chaves, Fernanda Mathias, and Romulo Vianna for helping with the sample collection at UERJ. We also thank João Marreiro, Silvia De Oliveira Loiola, Anja Ladegaard Jørgensen, and Nadia Jochumsen for the technical support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jeppe D. Andersen.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethics statement

All procedures performed in the study were in accordance with the ethical standards of the Ethical Committee of Hospital Universitário Pedro Ernesto/UERJ (CAAE: 34301714.7.0000.5259).

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOCX 121 kb)

ESM 2

(XLSX 26 kb)

ESM 3

(XLSX 234 kb)

ESM 4

(DOCX 56 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Andersen, J.D., Meyer, O.S., Simão, F. et al. Skin pigmentation and genetic variants in an admixed Brazilian population of primarily European ancestry. Int J Legal Med 134, 1569–1579 (2020). https://doi.org/10.1007/s00414-020-02307-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00414-020-02307-y

Keywords

Navigation