Literature DB >> 25051225

Exploring iris colour prediction and ancestry inference in admixed populations of South America.

A Freire-Aradas1, Y Ruiz1, C Phillips2, O Maroñas1, J Söchtig1, A Gómez Tato3, J Álvarez Dios3, M Casares de Cal3, V N Silbiger4, A D Luchessi5, A D Luchessi5, M A Chiurillo6, Á Carracedo7, M V Lareu1.   

Abstract

New DNA-based predictive tests for physical characteristics and inference of ancestry are highly informative tools that are being increasingly used in forensic genetic analysis. Two eye colour prediction models: a Bayesian classifier - Snipper and a multinomial logistic regression (MLR) system for the Irisplex assay, have been described for the analysis of unadmixed European populations. Since multiple SNPs in combination contribute in varying degrees to eye colour predictability in Europeans, it is likely that these predictive tests will perform in different ways amongst admixed populations that have European co-ancestry, compared to unadmixed Europeans. In this study we examined 99 individuals from two admixed South American populations comparing eye colour versus ancestry in order to reveal a direct correlation of light eye colour phenotypes with European co-ancestry in admixed individuals. Additionally, eye colour prediction following six prediction models, using varying numbers of SNPs and based on Snipper and MLR, were applied to the study populations. Furthermore, patterns of eye colour prediction have been inferred for a set of publicly available admixed and globally distributed populations from the HGDP-CEPH panel and 1000 Genomes databases with a special emphasis on admixed American populations similar to those of the study samples.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Admixture; America; Genetic ancestry; Iris colour prediction; SNPs

Mesh:

Substances:

Year:  2014        PMID: 25051225     DOI: 10.1016/j.fsigen.2014.06.007

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


  4 in total

1.  Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample.

Authors:  Thássia Mayra Telles Carratto; Letícia Marcorin; Guilherme do Valle-Silva; Maria Luiza Guimarães de Oliveira; Eduardo Antônio Donadi; Aguinaldo Luiz Simões; Erick C Castelli; Celso Teixeira Mendes-Junior
Journal:  Int J Legal Med       Date:  2021-04-22       Impact factor: 2.686

2.  Eye color prediction using single nucleotide polymorphisms in Saudi population.

Authors:  Jahad Alghamdi; Manal Amoudi; Ahmad Ch Kassab; Mansour Al Mufarrej; Saleh Al Ghamdi
Journal:  Saudi J Biol Sci       Date:  2018-09-28       Impact factor: 4.219

3.  Skin pigmentation polymorphisms associated with increased risk of melanoma in a case-control sample from southern Brazil.

Authors:  Larissa B Reis; Renato M Bakos; Fernanda S L Vianna; Gabriel S Macedo; Vanessa C Jacovas; André M Ribeiro-Dos-Santos; Sidney Santos; Lúcio Bakos; Patricia Ashton-Prolla
Journal:  BMC Cancer       Date:  2020-11-09       Impact factor: 4.430

4.  Further insight into the global variability of the OCA2-HERC2 locus for human pigmentation from multiallelic markers.

Authors:  Philippe Suarez; Karine Baumer; Diana Hall
Journal:  Sci Rep       Date:  2021-11-18       Impact factor: 4.379

  4 in total

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