Literature DB >> 22284939

Verification of eye and skin color predictors in various populations.

Amanda Pneuman1, Zoran M Budimlija, Theresa Caragine, Mechthild Prinz, Elisa Wurmbach.   

Abstract

Validation of testing methods is an essential feature in all scientific endeavors, but it is particularly important in forensics. Due to the sensitive nature of these investigations and the limited sample size it is crucial to validate all employed procedures. This includes novel forensic phenotypic DNA tests, to learn more of their capabilities and limitations before incorporating them as routine methods. Ideally, validations are performed on large sample sets that mimic real cases. Recently, three phenotypic predictors, two for eye colors and one for skin color have been published (Spichenok et al., 2011; Walsh et al., 2011). These predictors are well-defined by a selection of single nucleotide polymorphisms (SNPs) and unambiguous instructions on how to interpret the genotypes. These standardized approaches have the advantages that they can be applied in diverse laboratories leading to the same outcome and offer the opportunity for validation. For these tests to be used on the characterization of human remains, they should be validated on various populations to perform reliably without prior knowledge of ethnic origin. Here, in this study, these eye and skin color predictors were validated on new sample sets and it could be confirmed that they can be applied in various populations, including African-American, South Asian (dark), East Asian (light), European, and mixed populations. The outputs were either predictive or inconclusive. Predictions were then compared against the actual eye and skin colors of the tested individuals. The error-rates varied; they were low for the predictors that describe the eye and skin color exclusively (non-brown or non-blue and non-white or non-dark, respectively) and higher for the predictor that describes individual eye colors (blue, brown, and intermediate/green), because of uncertainties with the green eye color prediction. Our investigation deepens the insight for these predictors and adds new information.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22284939     DOI: 10.1016/j.legalmed.2011.12.005

Source DB:  PubMed          Journal:  Leg Med (Tokyo)        ISSN: 1344-6223            Impact factor:   1.376


  15 in total

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Journal:  Eur J Hum Genet       Date:  2015-08-19       Impact factor: 4.246

2.  Application of six IrisPlex SNPs and comparison of two eye color prediction systems in diverse Eurasia populations.

Authors:  Libing Yun; Yan Gu; Haseena Rajeevan; Kenneth K Kidd
Journal:  Int J Legal Med       Date:  2014-01-07       Impact factor: 2.686

3.  A panel of 130 autosomal single-nucleotide polymorphisms for ancestry assignment in five Asian populations and in Caucasians.

Authors:  Hsiao-Lin Hwa; Chih-Peng Lin; Tsun-Ying Huang; Po-Hsiu Kuo; Wei-Hsin Hsieh; Chun-Yen Lin; Hsiang-I Yin; Li-Hui Tseng; James Chun-I Lee
Journal:  Forensic Sci Med Pathol       Date:  2017-04-24       Impact factor: 2.007

4.  Prediction of people's origin from degraded DNA--presentation of SNP assays and calculation of probability.

Authors:  Micaela Poetsch; Rowena Blöhm; Melanie Harder; Hiromasa Inoue; Nicole von Wurmb-Schwark; Sandra Freitag-Wolf
Journal:  Int J Legal Med       Date:  2012-08-24       Impact factor: 2.686

5.  Determination of population origin: a comparison of autosomal SNPs, Y-chromosomal and mtDNA haplogroups using a Malagasy population as example.

Authors:  Micaela Poetsch; Aline Wiegand; Melanie Harder; Rowena Blöhm; Noel Rakotomavo; Sandra Freitag-Wolf; Nicole von Wurmb-Schwark
Journal:  Eur J Hum Genet       Date:  2013-04-24       Impact factor: 4.246

6.  Allelic frequencies of 20 visible phenotype variants in the korean population.

Authors:  Ji Eun Lim; Bermseok Oh
Journal:  Genomics Inform       Date:  2013-06-30

7.  First all-in-one diagnostic tool for DNA intelligence: genome-wide inference of biogeographic ancestry, appearance, relatedness, and sex with the Identitas v1 Forensic Chip.

Authors:  Brendan Keating; Aruna T Bansal; Susan Walsh; Jonathan Millman; Jonathan Newman; Kenneth Kidd; Bruce Budowle; Arthur Eisenberg; Joseph Donfack; Paolo Gasparini; Zoran Budimlija; Anjali K Henders; Hareesh Chandrupatla; David L Duffy; Scott D Gordon; Pirro Hysi; Fan Liu; Sarah E Medland; Laurence Rubin; Nicholas G Martin; Timothy D Spector; Manfred Kayser
Journal:  Int J Legal Med       Date:  2012-11-13       Impact factor: 2.686

8.  Evaluation of DNA variants associated with androgenetic alopecia and their potential to predict male pattern baldness.

Authors:  Magdalena Marcińska; Ewelina Pośpiech; Sarah Abidi; Jeppe Dyrberg Andersen; Margreet van den Berge; Ángel Carracedo; Mayra Eduardoff; Anna Marczakiewicz-Lustig; Niels Morling; Titia Sijen; Małgorzata Skowron; Jens Söchtig; Denise Syndercombe-Court; Natalie Weiler; Peter M Schneider; David Ballard; Claus Børsting; Walther Parson; Chris Phillips; Wojciech Branicki
Journal:  PLoS One       Date:  2015-05-22       Impact factor: 3.240

9.  Improved eye- and skin-color prediction based on 8 SNPs.

Authors:  Katie L Hart; Shey L Kimura; Vladimir Mushailov; Zoran M Budimlija; Mechthild Prinz; Elisa Wurmbach
Journal:  Croat Med J       Date:  2013-06       Impact factor: 1.351

10.  Prediction of eye color in the Slovenian population using the IrisPlex SNPs.

Authors:  Vanja Kastelic; Ewelina Pośpiech; Jolanta Draus-Barini; Wojciech Branicki; Katja Drobnič
Journal:  Croat Med J       Date:  2013-08       Impact factor: 1.351

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