2019 / 05

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DOI: 10.24075/brsmu.2019.069

ORIGINAL RESEARCH

The accuracy of predicting eye and hair pigmentation based on genetic markers in Russian populations

Balanovsky OP1,2,3, Petrushenko VS1,2,4, Gorin IO1,2,4, Kagazezheva ZhA1,2, Markina NV2, Kostryukova ES5, Leybova AN6, Maurer AM7, Balanovska EV1,3
About authors

1 Research Center for Medical Genetics, Moscow, Russia

2 Vavilov Institute of General Genetics, RAS, Moscow

3 Biobank of North Eurasia, Moscow, Russia

4 Moscow Institute of Physics and Technology, Moscow, Russia

5 Federal Research and Clinical Center of Physical-Chemical Medicine, Moscow, Russia

6 Institute of Anthropology and Ethnography, Moscow, Russia

7 Anuchin Research Institute and Museum of Anthropology, Moscow, Russia

Correspondence should be addressed: Elena V. Balanovska
Moskvorechie, 1, Research Centre for Medical Genetics, Moscow, 115522; ur.liam@aksvonalab

About paper

Funding: the study was supported by the Ministry of Science and Education of the Russian Federation (State contract 011–17 dated 26.09.2017) as part of the Union State Research and Technical Project DNA-based identification, which included genotyping and phenotyping of European samples and preparation of this manuscript, and the State assignment of the Ministry of Science and Higher Education of the Russian Federation for the Research Centre for Medical Genetics (phenotyping of Siberian samples, creating a database, data analysis).

Acknowledgements: we thank all donors participating in our study. DNA samples and anthropological images were provided by the Biobank of North Eurasia.

Author contribution: Balanovska EV — supervision and study design; Petrushenko VS, Gorin IO — bioinformatic analysis, literature analysis, manuscript preparation; Maurer AM, Leybova NA — phenotyping of the samples; Kagazezheva ZhA — phenotyping of the samples, photography, photo processing, tabular data processing; Balanovsky OP, Markina NV — manuscript preparation; Kostryukova ES — genotyping.

Received: 2019-10-22 Accepted: 2019-10-26 Published online: 2019-10-28
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