The effect of gender on eye colour variation in European populations and an evaluation of the IrisPlex prediction model

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The effect of gender on eye colour variation in European populations and an evaluation of the IrisPlex prediction model. / Pietroni, Carlotta; Andersen, Jeppe D; Johansen, Peter; Andersen, Mikkel M; Harder, Stine; Paulsen, Rasmus; Børsting, Claus; Morling, Niels.

I: Forensic science international. Genetics, Bind 11, 07.2014, s. 1-6.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Pietroni, C, Andersen, JD, Johansen, P, Andersen, MM, Harder, S, Paulsen, R, Børsting, C & Morling, N 2014, 'The effect of gender on eye colour variation in European populations and an evaluation of the IrisPlex prediction model', Forensic science international. Genetics, bind 11, s. 1-6. https://doi.org/10.1016/j.fsigen.2014.02.002

APA

Pietroni, C., Andersen, J. D., Johansen, P., Andersen, M. M., Harder, S., Paulsen, R., Børsting, C., & Morling, N. (2014). The effect of gender on eye colour variation in European populations and an evaluation of the IrisPlex prediction model. Forensic science international. Genetics, 11, 1-6. https://doi.org/10.1016/j.fsigen.2014.02.002

Vancouver

Pietroni C, Andersen JD, Johansen P, Andersen MM, Harder S, Paulsen R o.a. The effect of gender on eye colour variation in European populations and an evaluation of the IrisPlex prediction model. Forensic science international. Genetics. 2014 jul.;11:1-6. https://doi.org/10.1016/j.fsigen.2014.02.002

Author

Pietroni, Carlotta ; Andersen, Jeppe D ; Johansen, Peter ; Andersen, Mikkel M ; Harder, Stine ; Paulsen, Rasmus ; Børsting, Claus ; Morling, Niels. / The effect of gender on eye colour variation in European populations and an evaluation of the IrisPlex prediction model. I: Forensic science international. Genetics. 2014 ; Bind 11. s. 1-6.

Bibtex

@article{0a5c1c9cb0044baaa2e2d9793c9774cf,
title = "The effect of gender on eye colour variation in European populations and an evaluation of the IrisPlex prediction model",
abstract = "In two recent studies of Spanish individuals, gender was suggested as a factor that contributes to human eye colour variation. However, gender did not improve the predictive accuracy on blue, intermediate and brown eye colours when gender was included in the IrisPlex model. In this study, we investigate the role of gender as a factor that contributes to eye colour variation and suggest that the gender effect on eye colour is population specific. A total of 230 Italian individuals were typed for the six IrisPlex SNPs (rs12913832, rs1800407, rs12896399, rs1393350, rs16891982 and rs12203592). A quantitative eye colour score (Pixel Index of the Eye: PIE-score) was calculated based on digital eye images using the custom made DIAT software. The results were compared with those of Danish and Swedish population samples. As expected, we found HERC2 rs12913832 as the main predictor of human eye colour independently of ancestry. Furthermore, we found gender to be significantly associated with quantitative eye colour measurements in the Italian population sample. We found that the association was statistically significant only among Italian individuals typed as heterozygote GA for HERC2 rs12913832. Interestingly, we did not observe the same association in the Danish and Swedish population. This indicated that the gender effect on eye colour is population specific. We estimated the effect of gender on quantitative eye colour in the Italian population sample to be 4.9%. Among gender and the IrisPlex SNPs, gender ranked as the second most important predictor of human eye colour variation in Italians after HERC2 rs12913832. We, furthermore, tested the five lower ranked IrisPlex predictors, and evaluated all possible 3(6) (729) genotype combinations of the IrisPlex assay and their corresponding predictive values using the IrisPlex prediction model [4]. The results suggested that maximum three (rs12913832, rs1800407, rs16891982) of the six IrisPlex SNPs are useful in practical forensic genetic casework.",
author = "Carlotta Pietroni and Andersen, {Jeppe D} and Peter Johansen and Andersen, {Mikkel M} and Stine Harder and Rasmus Paulsen and Claus B{\o}rsting and Niels Morling",
note = "Copyright {\textcopyright} 2014 Elsevier Ireland Ltd. All rights reserved.",
year = "2014",
month = jul,
doi = "10.1016/j.fsigen.2014.02.002",
language = "English",
volume = "11",
pages = "1--6",
journal = "Forensic Science International: Genetics",
issn = "1872-4973",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - The effect of gender on eye colour variation in European populations and an evaluation of the IrisPlex prediction model

AU - Pietroni, Carlotta

AU - Andersen, Jeppe D

AU - Johansen, Peter

AU - Andersen, Mikkel M

AU - Harder, Stine

AU - Paulsen, Rasmus

AU - Børsting, Claus

AU - Morling, Niels

N1 - Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

PY - 2014/7

Y1 - 2014/7

N2 - In two recent studies of Spanish individuals, gender was suggested as a factor that contributes to human eye colour variation. However, gender did not improve the predictive accuracy on blue, intermediate and brown eye colours when gender was included in the IrisPlex model. In this study, we investigate the role of gender as a factor that contributes to eye colour variation and suggest that the gender effect on eye colour is population specific. A total of 230 Italian individuals were typed for the six IrisPlex SNPs (rs12913832, rs1800407, rs12896399, rs1393350, rs16891982 and rs12203592). A quantitative eye colour score (Pixel Index of the Eye: PIE-score) was calculated based on digital eye images using the custom made DIAT software. The results were compared with those of Danish and Swedish population samples. As expected, we found HERC2 rs12913832 as the main predictor of human eye colour independently of ancestry. Furthermore, we found gender to be significantly associated with quantitative eye colour measurements in the Italian population sample. We found that the association was statistically significant only among Italian individuals typed as heterozygote GA for HERC2 rs12913832. Interestingly, we did not observe the same association in the Danish and Swedish population. This indicated that the gender effect on eye colour is population specific. We estimated the effect of gender on quantitative eye colour in the Italian population sample to be 4.9%. Among gender and the IrisPlex SNPs, gender ranked as the second most important predictor of human eye colour variation in Italians after HERC2 rs12913832. We, furthermore, tested the five lower ranked IrisPlex predictors, and evaluated all possible 3(6) (729) genotype combinations of the IrisPlex assay and their corresponding predictive values using the IrisPlex prediction model [4]. The results suggested that maximum three (rs12913832, rs1800407, rs16891982) of the six IrisPlex SNPs are useful in practical forensic genetic casework.

AB - In two recent studies of Spanish individuals, gender was suggested as a factor that contributes to human eye colour variation. However, gender did not improve the predictive accuracy on blue, intermediate and brown eye colours when gender was included in the IrisPlex model. In this study, we investigate the role of gender as a factor that contributes to eye colour variation and suggest that the gender effect on eye colour is population specific. A total of 230 Italian individuals were typed for the six IrisPlex SNPs (rs12913832, rs1800407, rs12896399, rs1393350, rs16891982 and rs12203592). A quantitative eye colour score (Pixel Index of the Eye: PIE-score) was calculated based on digital eye images using the custom made DIAT software. The results were compared with those of Danish and Swedish population samples. As expected, we found HERC2 rs12913832 as the main predictor of human eye colour independently of ancestry. Furthermore, we found gender to be significantly associated with quantitative eye colour measurements in the Italian population sample. We found that the association was statistically significant only among Italian individuals typed as heterozygote GA for HERC2 rs12913832. Interestingly, we did not observe the same association in the Danish and Swedish population. This indicated that the gender effect on eye colour is population specific. We estimated the effect of gender on quantitative eye colour in the Italian population sample to be 4.9%. Among gender and the IrisPlex SNPs, gender ranked as the second most important predictor of human eye colour variation in Italians after HERC2 rs12913832. We, furthermore, tested the five lower ranked IrisPlex predictors, and evaluated all possible 3(6) (729) genotype combinations of the IrisPlex assay and their corresponding predictive values using the IrisPlex prediction model [4]. The results suggested that maximum three (rs12913832, rs1800407, rs16891982) of the six IrisPlex SNPs are useful in practical forensic genetic casework.

U2 - 10.1016/j.fsigen.2014.02.002

DO - 10.1016/j.fsigen.2014.02.002

M3 - Journal article

C2 - 24631691

VL - 11

SP - 1

EP - 6

JO - Forensic Science International: Genetics

JF - Forensic Science International: Genetics

SN - 1872-4973

ER -

ID: 118360353