Literature DB >> 32385594

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

Jeppe D Andersen1, Olivia S Meyer2, Filipa Simão3, Juliana Jannuzzi3, Elizeu Carvalho3, Mikkel M Andersen4, Vania Pereira2, Claus Børsting2, Niels Morling2, Leonor Gusmão3.   

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.

Entities:  

Keywords:  Admixed population; Ancestry; Externally visible characteristics; Forensic DNA phenotyping; Pigmentation; Skin colour

Mesh:

Substances:

Year:  2020        PMID: 32385594     DOI: 10.1007/s00414-020-02307-y

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  52 in total

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2.  A genomewide association study of skin pigmentation in a South Asian population.

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4.  Development of a forensic skin colour predictive test.

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Journal:  Forensic Sci Int Genet       Date:  2014-07-10       Impact factor: 4.882

5.  The HIrisPlex-S system for eye, hair and skin colour prediction from DNA: Introduction and forensic developmental validation.

Authors:  Lakshmi Chaitanya; Krystal Breslin; Sofia Zuñiga; Laura Wirken; Ewelina Pośpiech; Magdalena Kukla-Bartoszek; Titia Sijen; Peter de Knijff; Fan Liu; Wojciech Branicki; Manfred Kayser; Susan Walsh
Journal:  Forensic Sci Int Genet       Date:  2018-04-12       Impact factor: 4.882

6.  Developmental validation of the IrisPlex system: determination of blue and brown iris colour for forensic intelligence.

Authors:  Susan Walsh; Alexander Lindenbergh; Sofia B Zuniga; Titia Sijen; Peter de Knijff; Manfred Kayser; Kaye N Ballantyne
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Authors:  Hans Eiberg; Jesper Troelsen; Mette Nielsen; Annemette Mikkelsen; Jonas Mengel-From; Klaus W Kjaer; Lars Hansen
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8.  Variants of the melanocyte-stimulating hormone receptor gene are associated with red hair and fair skin in humans.

Authors:  P Valverde; E Healy; I Jackson; J L Rees; A J Thody
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9.  A single SNP in an evolutionary conserved region within intron 86 of the HERC2 gene determines human blue-brown eye color.

Authors:  Richard A Sturm; David L Duffy; Zhen Zhen Zhao; Fabio P N Leite; Mitchell S Stark; Nicholas K Hayward; Nicholas G Martin; Grant W Montgomery
Journal:  Am J Hum Genet       Date:  2008-01-24       Impact factor: 11.025

10.  Genetics of skin color variation in Europeans: genome-wide association studies with functional follow-up.

Authors:  Fan Liu; Mijke Visser; David L Duffy; Pirro G Hysi; Leonie C Jacobs; Oscar Lao; Kaiyin Zhong; Susan Walsh; Lakshmi Chaitanya; Andreas Wollstein; Gu Zhu; Grant W Montgomery; Anjali K Henders; Massimo Mangino; Daniel Glass; Veronique Bataille; Richard A Sturm; Fernando Rivadeneira; Albert Hofman; Wilfred F J van IJcken; André G Uitterlinden; Robert-Jan T S Palstra; Timothy D Spector; Nicholas G Martin; Tamar E C Nijsten; Manfred Kayser
Journal:  Hum Genet       Date:  2015-05-12       Impact factor: 4.132

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2.  Genetic diversity of the melanocortin-1 receptor in an admixed population of Rio de Janeiro: Structural and functional impacts of Cys35Tyr variant.

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3.  Analysis of Skin Pigmentation and Genetic Ancestry in Three Subpopulations from Pakistan: Punjabi, Pashtun, and Baloch.

Authors:  Muhammad Adnan Shan; Olivia Strunge Meyer; Mie Refn; Niels Morling; Jeppe Dyrberg Andersen; Claus Børsting
Journal:  Genes (Basel)       Date:  2021-05-13       Impact factor: 4.096

Review 4.  Predicting Physical Appearance from DNA Data-Towards Genomic Solutions.

Authors:  Ewelina Pośpiech; Paweł Teisseyre; Jan Mielniczuk; Wojciech Branicki
Journal:  Genes (Basel)       Date:  2022-01-10       Impact factor: 4.096

  4 in total

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