BMC Research Notes (Jul 2024)

Predictive accuracy of genetic variants for eye color in a Kazakh population using the IrisPlex system

  • Alizhan Bukayev,
  • Igor Gorin,
  • Baglan Aidarov,
  • Akynkali Darmenov,
  • Elena Balanovska,
  • Maxat Zhabagin

DOI
https://doi.org/10.1186/s13104-024-06856-y
Journal volume & issue
Vol. 17, no. 1
pp. 1 – 7

Abstract

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Abstract Objective This study assesses the accuracy of the IrisPlex system, a genetic eye color prediction tool for forensic analysis, in the Kazakh population. The study compares previously published genotypes of 515 Kazakh individuals from varied geographical and ethnohistorical contexts with phenotypic data on their eye color, introduced for the first time in this research. Results The IrisPlex panel’s effectiveness in predicting eye color in the Kazakh population was validated. It exhibited slightly lower accuracy than in Western European populations but was higher than in Siberian populations. The sensitivity was notably high for brown-eyed individuals (0.99), but further research is needed for blue and intermediate eye colors. This study establishes IrisPlex as a useful predictive tool in the Kazakh population and provides a basis for future investigations into the genetic basis of phenotypic variations in this diverse population.

Keywords