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Predictive accuracy of genetic variants for eye color in a Kazakh population using the IrisPlex system.
Bukayev, Alizhan; Gorin, Igor; Aidarov, Baglan; Darmenov, Akynkali; Balanovska, Elena; Zhabagin, Maxat.
Affiliation
  • Bukayev A; National Center for Biotechnology, Astana, 010000, Kazakhstan.
  • Gorin I; Research Centre for Medical Genetics, Moscow, 115522, Russia.
  • Aidarov B; National Center for Biotechnology, Astana, 010000, Kazakhstan.
  • Darmenov A; Karaganda Academy of the Ministry of Internal Affairs of the Republic of Kazakhstan named after Barimbek Beisenov, Karaganda, 100000, Kazakhstan.
  • Balanovska E; Research Centre for Medical Genetics, Moscow, 115522, Russia.
  • Zhabagin M; National Center for Biotechnology, Astana, 010000, Kazakhstan. zhabagin@biocenter.kz.
BMC Res Notes ; 17(1): 187, 2024 Jul 05.
Article in En | MEDLINE | ID: mdl-38970104
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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Eye Color Limits: Humans Country/Region as subject: Asia / Europa Language: En Journal: BMC Res Notes Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Eye Color Limits: Humans Country/Region as subject: Asia / Europa Language: En Journal: BMC Res Notes Year: 2024 Document type: Article Affiliation country: