TY - JOUR
T1 - Genetic analyses of the human eye colours using a novel objective method for eye colour classification
AU - Andersen, Jeppe D
AU - Johansen, Peter
AU - Harder, Stine
AU - Christoffersen, Susanne R
AU - Delgado, Mikaela C
AU - Henriksen, Sarah T
AU - Nielsen, Mette M
AU - Sørensen, Erik
AU - Ullum, Henrik
AU - Hansen, Thomas
AU - Dahl, Anders L
AU - Paulsen, Rasmus Reinhold
AU - Børsting, Claus
AU - Morling, Niels
N1 - Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.
PY - 2013/9
Y1 - 2013/9
N2 - In this study, we present a new objective method for measuring the eye colour on a continuous scale that allows researchers to associate genetic markers with different shades of eye colour. With the use of the custom designed software Digital Iris Analysis Tool (DIAT), the iris was automatically identified and extracted from high resolution digital images. DIAT was made user friendly with a graphical user interface. The software counted the number of blue and brown pixels in the iris image and calculated a Pixel Index of the Eye (PIE-score) that described the eye colour quantitatively. The PIE-score ranged from -1 to 1 (brown to blue). The software eliminated the need for user based interpretation and qualitative eye colour categories. In 94% (570) of 605 analyzed eye images, the iris region was successfully extracted and a PIE-score was calculated. A very high correlation between the PIE-score and the human perception of eye colour was observed. The correlations between the PIE-scores and the six IrisPlex SNPs (HERC2 rs12913832, OCA2 rs1800407, SLC24A4 rs12896399, TYR rs1393350, SLC45A2 rs16891982 and IRF4 rs12203592) were analyzed in 570 individuals. Significant differences (p
AB - In this study, we present a new objective method for measuring the eye colour on a continuous scale that allows researchers to associate genetic markers with different shades of eye colour. With the use of the custom designed software Digital Iris Analysis Tool (DIAT), the iris was automatically identified and extracted from high resolution digital images. DIAT was made user friendly with a graphical user interface. The software counted the number of blue and brown pixels in the iris image and calculated a Pixel Index of the Eye (PIE-score) that described the eye colour quantitatively. The PIE-score ranged from -1 to 1 (brown to blue). The software eliminated the need for user based interpretation and qualitative eye colour categories. In 94% (570) of 605 analyzed eye images, the iris region was successfully extracted and a PIE-score was calculated. A very high correlation between the PIE-score and the human perception of eye colour was observed. The correlations between the PIE-scores and the six IrisPlex SNPs (HERC2 rs12913832, OCA2 rs1800407, SLC24A4 rs12896399, TYR rs1393350, SLC45A2 rs16891982 and IRF4 rs12203592) were analyzed in 570 individuals. Significant differences (p
U2 - 10.1016/j.fsigen.2013.05.003
DO - 10.1016/j.fsigen.2013.05.003
M3 - Journal article
C2 - 23948321
VL - 7
SP - 508
EP - 515
JO - Forensic Science International: Genetics
JF - Forensic Science International: Genetics
SN - 1872-4973
IS - 5
ER -