Andrey A Yurchenko1, Nikolai S Yudin2,3, Mikhail I Voevoda2,3,4. 1. The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Lavrentieva 10 St, Novosibirsk, Russia, 630090. andreyurch@gmail.com. 2. The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Lavrentieva 10 St, Novosibirsk, Russia, 630090. 3. Novosibirsk State University, Novosibirsk, 630090, Russia. 4. Institute of Internal and Preventive Medicine-branch of Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 175/1, B. Bogatkov Street, 630089, Novosibirsk, Russia.
Abstract
BACKGROUND: Population structure is an important factor in the genetic association studies but often remains underexplored for many human populations. We identified exome variants in 39 Siberian Caucasian individuals from Novosibirsk, Russia and compared their genetic allele frequencies with European populations from 1000 Genomes Project. METHODS: The study participants were from Novosibirsk and represented people with monogenic diabetes, healthy individuals and a cohort from the tick-borne encephalitis study. Isolated DNA was enriched using Agilent SureSelect V5 kit and sequenced on Illumina HiSeq 4000 and genetic variants were identified using GATK pipeline. To estimate the patterns of the population structure we used PCA and ADMIXTURE analysis. Pharmocogenetically and medically important variants were annotated based on PharmGKB and ClinVar databases. RESULTS: The analysis identified low, but highly significant population differentiation attributed to numerous loci between the Siberian Caucasian population and other European population samples as well as a higher proportion of the Finnish genetic component in the studied sample. The medical and pharmacogenetic annotation of highly significantly differentiated variants between the Novosibirsk and the combined European populations revealed a number of important genetic polymorphisms located in such genes as FCGR3B, TYR, OCA2, FABP1, CHEK2 and SLC4A1. CONCLUSIONS: The study reports for the first time an exome-wide comparison of a population from Russia with European samples and emphasizes the importance of population studies with medical annotation of variants.
BACKGROUND: Population structure is an important factor in the genetic association studies but often remains underexplored for many human populations. We identified exome variants in 39 Siberian Caucasian individuals from Novosibirsk, Russia and compared their genetic allele frequencies with European populations from 1000 Genomes Project. METHODS: The study participants were from Novosibirsk and represented people with monogenic diabetes, healthy individuals and a cohort from the tick-borne encephalitis study. Isolated DNA was enriched using Agilent SureSelect V5 kit and sequenced on Illumina HiSeq 4000 and genetic variants were identified using GATK pipeline. To estimate the patterns of the population structure we used PCA and ADMIXTURE analysis. Pharmocogenetically and medically important variants were annotated based on PharmGKB and ClinVar databases. RESULTS: The analysis identified low, but highly significant population differentiation attributed to numerous loci between the Siberian Caucasian population and other European population samples as well as a higher proportion of the Finnish genetic component in the studied sample. The medical and pharmacogenetic annotation of highly significantly differentiated variants between the Novosibirsk and the combined European populations revealed a number of important genetic polymorphisms located in such genes as FCGR3B, TYR, OCA2, FABP1, CHEK2 and SLC4A1. CONCLUSIONS: The study reports for the first time an exome-wide comparison of a population from Russia with European samples and emphasizes the importance of population studies with medical annotation of variants.
Entities:
Keywords:
Associations; Exome sequencing; Population structure; Russia; Siberia