Literature DB >> 25082135

Development of a forensic skin colour predictive test.

Olalla Maroñas1, Chris Phillips2, Jens Söchtig1, Antonio Gomez-Tato3, Raquel Cruz4, José Alvarez-Dios3, María Casares de Cal3, Yarimar Ruiz5, Manuel Fondevila1, Ángel Carracedo6, María V Lareu1.   

Abstract

There is growing interest in skin colour prediction in the forensic field. However, a lack of consensus approaches for recording skin colour phenotype plus the complicating factors of epistatic effects, environmental influences such as exposure to the sun and unidentified genetic variants, present difficulties for the development of a forensic skin colour predictive test centred on the most strongly associated SNPs. Previous studies have analysed skin colour variation in single unadmixed population groups, including South Asians (Stokowski et al., 2007, Am. J. Hum. Genet, 81: 1119-32) and Europeans (Jacobs et al., 2013, Hum Genet. 132: 147-58). Nevertheless, a major challenge lies in the analysis of skin colour in admixed individuals, where co-ancestry proportions do not necessarily dictate any one person's skin colour. Our study sought to analyse genetic differences between African, European and admixed African-European subjects where direct spectrometric measurements and photographs of skin colour were made in parallel. We identified strong associations to skin colour variation in the subjects studied from a pigmentation SNP discovery panel of 59 markers and developed a forensic online classifier based on naïve Bayes analysis of the SNP profiles made. A skin colour predictive test is described using the ten most strongly associated SNPs in 8 genes linked to skin pigmentation variation.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Externally visible traits; Forensic phenotyping; Linear regression analysis; Naïve Bayes classification; Pigmentation; Skin colour prediction

Mesh:

Substances:

Year:  2014        PMID: 25082135     DOI: 10.1016/j.fsigen.2014.06.017

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  16 in total

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5.  Exploration of SNP variants affecting hair colour prediction in Europeans.

Authors:  Jens Söchtig; Chris Phillips; Olalla Maroñas; Antonio Gómez-Tato; Raquel Cruz; Jose Alvarez-Dios; María-Ángeles Casares de Cal; Yarimar Ruiz; Kristian Reich; Manuel Fondevila; Ángel Carracedo; María V Lareu
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Journal:  PLoS One       Date:  2015-05-22       Impact factor: 3.240

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

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Journal:  Genes (Basel)       Date:  2021-05-13       Impact factor: 4.096

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