Genotype imputation and polygenic score estimation in northwestern Russian population

Nikita Kolosov, Valeriia Rezapova, Oxana Rotar, Alexander Loboda, Olga Freylikhman, Olesya Melnik, Alexey Sergushichev, Christine Stevens, Trudy Voortman, Anna Kostareva, Alexandra Konradi, Mark J. Daly, Mykyta Artomov

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Numerous studies demonstrated the lack of transferability of polygenic score (PGS) models across populations and the problem arising from unequal presentation of ancestries across genetic studies. However, even within European ancestry there are ethnic groups that are rarely presented in genetic studies. For instance, Russians, being one of the largest, diverse, and yet understudied group in Europe. In this study, we evaluated the reliability of genotype imputation for the Russian cohort by testing several commonly used imputation reference panels (e.g. HRC, 1000G, HGDP). HRC, in comparison with two other panels, showed the most accurate results based on both imputation accuracy and allele frequency concordance between masked and imputed genotypes. We built polygenic score models based on GWAS results from the UK biobank, measured the explained phenotypic variance in the Russian cohort attributed to polygenic scores for 11 phenotypes, collected in the clinic for each participant, and finally explored the role of allele frequency discordance between the UK biobank and the study cohort in the resulting PGS performance.

Original languageEnglish
Article numbere0269434
JournalPloS one
Volume17
Issue number6 June
DOIs
StatePublished - Jun 2022

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