Evidence map›Paper›PMID 38970104›Full record

ArticleBMC research notes2024

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

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Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Alizhan BukayevNational Center for Biotechnology, Astana, 010000, Kazakhstan.
Igor GorinResearch Centre for Medical Genetics, Moscow, 115522, Russia.
Baglan AidarovNational Center for Biotechnology, Astana, 010000, Kazakhstan.
Akynkali DarmenovKaraganda Academy of the Ministry of Internal Affairs of the Republic of Kazakhstan named after Barimbek Beisenov, Karaganda, 100000, Kazakhstan.
Elena BalanovskaResearch Centre for Medical Genetics, Moscow, 115522, Russia.
Maxat ZhabaginNational Center for Biotechnology, Astana, 010000, Kazakhstan. zhabagin@biocenter.kz.

Funding

Science Committee of the Ministry of Science and Higer Education of the Republic of Kazakhstan AP09058276
6 · The paper itself

Abstract

objectiveThis 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.

resultsThe 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.

Indexed as

Eye ColorCentral Asian PeopleGenetics, PopulationGenetic VariationGenotypeHumansKazakhstanPhenotypeEye colorForensic genetics, IrisPlex SystemKazakh populationMicroarraySNP Genotyping

Identifiers

PMID38970104
PMCPMC11227171

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