Eye color prediction using the IrisPlex system: a limited pilot study in the Iraqi population
Background Forensic DNA phenotyping has gained momentum in the recent past due to the prediction of externally visible characters (EVCs) from the biological sample. The most common phenotypes like eye, hair, and skin color are predicted from the biological samples using a web-based system called Iri...
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          | Published in | Egyptian journal of forensic sciences Vol. 10; no. 1; pp. 1 - 6 | 
|---|---|
| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Berlin/Heidelberg
          Springer Berlin Heidelberg
    
        11.08.2020
     Springer Nature B.V SpringerOpen  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 2090-5939 2090-536X 2090-5939  | 
| DOI | 10.1186/s41935-020-00200-8 | 
Cover
| Abstract | Background
Forensic DNA phenotyping has gained momentum in the recent past due to the prediction of externally visible characters (EVCs) from the biological sample. The most common phenotypes like eye, hair, and skin color are predicted from the biological samples using a web-based system called IrisPlex. Based on six genetic SNPs, the IrisPlex system is developed and validated for its prediction accuracy in diverse ethnic groups worldwide. In previous studies, this system proved to have significant prediction accuracy. The EVCs vary substantially based on different geographical locations. Hence, the objective of this study was to validate the accuracy of the IrisPlex system in predicting the eye colors in the Iraqi population.
Methods
Six genetic single-nucleotide polymorphisms SNPs (
HERC2
-rs12913832,
OCA2
- rs1800407,
SLC24A4
-rs12896399,
SLC45A2
- rs16891982,
TYR
-rs1393350, and
IRF4
- rs12203592) in 58 Iraqi subjects were performed
using
Sequenom
MassARRAY Genotyping
. According to Liu et al., a predicted probability of 0.7 was considered as the threshold.
Results
Participants in this study of brown color were observed in 44.83%, intermediate in 43.1%, and blue in 12.07%. Completely predictive accuracy is obtained in 1; we observed the AUC at threshold 0.7 was 0.91 for brown, 0.79 for blue, and 0.60 for intermediate eye color. The sensitivity was 42.85% for blue, 0% for intermediate eye color, and 100% for brown-colored eye. Specificity was 100% for blue, 100% for intermediate, and 78.13% for brown eye color.
Conclusion
Hence, it was concluded that the prediction accuracy of the IrisPlex system for blue and brown color eye in the Iraqi population is significant in the studied population size. However, a pivotal study with larger sample size is required to represent the prediction accuracy of the IrisPlex system in the whole Iraqi population. | 
    
|---|---|
| AbstractList | BackgroundForensic DNA phenotyping has gained momentum in the recent past due to the prediction of externally visible characters (EVCs) from the biological sample. The most common phenotypes like eye, hair, and skin color are predicted from the biological samples using a web-based system called IrisPlex. Based on six genetic SNPs, the IrisPlex system is developed and validated for its prediction accuracy in diverse ethnic groups worldwide. In previous studies, this system proved to have significant prediction accuracy. The EVCs vary substantially based on different geographical locations. Hence, the objective of this study was to validate the accuracy of the IrisPlex system in predicting the eye colors in the Iraqi population.MethodsSix genetic single-nucleotide polymorphisms SNPs (HERC2-rs12913832, OCA2- rs1800407, SLC24A4-rs12896399, SLC45A2- rs16891982, TYR-rs1393350, and IRF4- rs12203592) in 58 Iraqi subjects were performed using Sequenom MassARRAY Genotyping. According to Liu et al., a predicted probability of 0.7 was considered as the threshold.ResultsParticipants in this study of brown color were observed in 44.83%, intermediate in 43.1%, and blue in 12.07%. Completely predictive accuracy is obtained in 1; we observed the AUC at threshold 0.7 was 0.91 for brown, 0.79 for blue, and 0.60 for intermediate eye color. The sensitivity was 42.85% for blue, 0% for intermediate eye color, and 100% for brown-colored eye. Specificity was 100% for blue, 100% for intermediate, and 78.13% for brown eye color.ConclusionHence, it was concluded that the prediction accuracy of the IrisPlex system for blue and brown color eye in the Iraqi population is significant in the studied population size. However, a pivotal study with larger sample size is required to represent the prediction accuracy of the IrisPlex system in the whole Iraqi population. Abstract Background Forensic DNA phenotyping has gained momentum in the recent past due to the prediction of externally visible characters (EVCs) from the biological sample. The most common phenotypes like eye, hair, and skin color are predicted from the biological samples using a web-based system called IrisPlex. Based on six genetic SNPs, the IrisPlex system is developed and validated for its prediction accuracy in diverse ethnic groups worldwide. In previous studies, this system proved to have significant prediction accuracy. The EVCs vary substantially based on different geographical locations. Hence, the objective of this study was to validate the accuracy of the IrisPlex system in predicting the eye colors in the Iraqi population. Methods Six genetic single-nucleotide polymorphisms SNPs (HERC2-rs12913832, OCA2- rs1800407, SLC24A4-rs12896399, SLC45A2- rs16891982, TYR-rs1393350, and IRF4- rs12203592) in 58 Iraqi subjects were performed using Sequenom MassARRAY Genotyping. According to Liu et al., a predicted probability of 0.7 was considered as the threshold. Results Participants in this study of brown color were observed in 44.83%, intermediate in 43.1%, and blue in 12.07%. Completely predictive accuracy is obtained in 1; we observed the AUC at threshold 0.7 was 0.91 for brown, 0.79 for blue, and 0.60 for intermediate eye color. The sensitivity was 42.85% for blue, 0% for intermediate eye color, and 100% for brown-colored eye. Specificity was 100% for blue, 100% for intermediate, and 78.13% for brown eye color. Conclusion Hence, it was concluded that the prediction accuracy of the IrisPlex system for blue and brown color eye in the Iraqi population is significant in the studied population size. However, a pivotal study with larger sample size is required to represent the prediction accuracy of the IrisPlex system in the whole Iraqi population. Background Forensic DNA phenotyping has gained momentum in the recent past due to the prediction of externally visible characters (EVCs) from the biological sample. The most common phenotypes like eye, hair, and skin color are predicted from the biological samples using a web-based system called IrisPlex. Based on six genetic SNPs, the IrisPlex system is developed and validated for its prediction accuracy in diverse ethnic groups worldwide. In previous studies, this system proved to have significant prediction accuracy. The EVCs vary substantially based on different geographical locations. Hence, the objective of this study was to validate the accuracy of the IrisPlex system in predicting the eye colors in the Iraqi population. Methods Six genetic single-nucleotide polymorphisms SNPs ( HERC2 -rs12913832, OCA2 - rs1800407, SLC24A4 -rs12896399, SLC45A2 - rs16891982, TYR -rs1393350, and IRF4 - rs12203592) in 58 Iraqi subjects were performed using Sequenom MassARRAY Genotyping . According to Liu et al., a predicted probability of 0.7 was considered as the threshold. Results Participants in this study of brown color were observed in 44.83%, intermediate in 43.1%, and blue in 12.07%. Completely predictive accuracy is obtained in 1; we observed the AUC at threshold 0.7 was 0.91 for brown, 0.79 for blue, and 0.60 for intermediate eye color. The sensitivity was 42.85% for blue, 0% for intermediate eye color, and 100% for brown-colored eye. Specificity was 100% for blue, 100% for intermediate, and 78.13% for brown eye color. Conclusion Hence, it was concluded that the prediction accuracy of the IrisPlex system for blue and brown color eye in the Iraqi population is significant in the studied population size. However, a pivotal study with larger sample size is required to represent the prediction accuracy of the IrisPlex system in the whole Iraqi population.  | 
    
| ArticleNumber | 27 | 
    
| Author | Al-Rashedi, Nihad A.M Mandal, Amar Mousa ALObaidi, Laith AH  | 
    
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| CitedBy_id | crossref_primary_10_4103_jfsm_jfsm_122_22 crossref_primary_10_1186_s12859_021_04077_9 crossref_primary_10_1016_j_jflm_2022_102351 crossref_primary_10_1093_fsr_owae013 crossref_primary_10_52586_4991  | 
    
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Forensic DNA phenotyping has gained momentum in the recent past due to the prediction of externally visible characters (EVCs) from the biological... BackgroundForensic DNA phenotyping has gained momentum in the recent past due to the prediction of externally visible characters (EVCs) from the biological... Abstract Background Forensic DNA phenotyping has gained momentum in the recent past due to the prediction of externally visible characters (EVCs) from the...  | 
    
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| SubjectTerms | Accuracy Eye color Forensic Medicine Genetic markers Iraq IrisPlex MassARRAY SNP genotyping Medicine Medicine & Public Health Original Article Pathology Population  | 
    
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| Title | Eye color prediction using the IrisPlex system: a limited pilot study in the Iraqi population | 
    
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