Boulygina Eugenia A, Borisov Oleg V, Valeeva Elena V, Semenova Ekaterina A, Kostryukova Elena S, Kulemin Nikolay A, Larin Andrey K, Nabiullina Roza M, Mavliev Fanis A, Akhatov Azat M, Andryushchenko Oleg N, Andryushchenko Liliya B, Zmijewski Piotr, Generozov Edward V, Ahmetov Ildus I
"Omics Technologies" OpenLab, Kazan Federal University, Kazan, Russia.
Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.
Biol Sport. 2020 Sep;37(3):295-304. doi: 10.5114/biolsport.2020.96272. Epub 2020 Jun 10.
Whole genome sequencing (WGS) has great potential to explore all possible DNA variants associated with physical performance, psychological traits and health conditions of athletes. Here we present, for the first time, annotation of genomic variants of elite athletes, based on the WGS of 20 Tatar male wrestlers. The maximum number of high-quality variants per sample was over 3.8 M for single nucleotide polymorphisms (SNPs) and about 0.64 M for indels. The maximum number of nonsense mutations was 148 single nucleotide variants (SNVs) per individual. Athletes' genomes on average contained 18.9 nonsense SNPs in a homozygous state per sample, while non-athletes' exomes (Tatar controls, n = 19) contained 18 nonsense SNPs. Finally, we applied genomic data for the association analysis and used reaction time (RT) as an example. Out of 1884 known genome-wide significant SNPs related to RT, we identified four SNPs ( rs10125715, rs518013, rs7783359, rs80054135) associated with RT in wrestlers. The cumulative number of favourable alleles ( A, A, T, T) was significantly correlated with RT both in wrestlers ( = 0.0003) and an independent cohort ( = 43) of physically active subjects ( = 0.029). Furthermore, we found that the frequencies of the A (53.3 vs 44.0%, = 0.033) and T (7.5 vs 2.8%, = 0.009) alleles were significantly higher in elite athletes (n = 107) involved in sports with RT as an essential component of performance (combat sports, table tennis and volleyball) compared to less successful (n = 176) athletes. The T allele was also over-represented in elite athletes (7.5%) in comparison with 189 controls (2.9%, = 0.009). In conclusion, we present the first WGS study of athletes showing that WGS can be applied in sport and exercise science.
全基因组测序(WGS)在探索与运动员身体表现、心理特质和健康状况相关的所有可能的DNA变异方面具有巨大潜力。在此,我们首次基于20名鞑靼族男性摔跤运动员的WGS数据,对精英运动员的基因组变异进行注释。每个样本中高质量变异的最大数量,单核苷酸多态性(SNP)超过380万个,插入缺失约为64万个。每个个体中无义突变的最大数量为148个单核苷酸变异(SNV)。运动员基因组每个样本平均含有18.9个纯合状态的无义SNP,而非运动员的外显子组(鞑靼族对照,n = 19)含有18个无义SNP。最后,我们将基因组数据应用于关联分析,并以反应时间(RT)为例。在1884个已知的与RT相关的全基因组显著SNP中,我们在摔跤运动员中鉴定出4个与RT相关的SNP(rs10125715、rs518013、rs7783359、rs80054135)。有利等位基因(A、A、T、T)的累积数量与摔跤运动员(p = 0.0003)以及一组独立的(n = 43)身体活跃受试者(p = 0.029)的RT均显著相关。此外,我们发现,与成绩稍逊的运动员(n = 176)相比,参与以RT作为表现关键组成部分的运动项目(格斗运动、乒乓球和排球)的精英运动员(n = 107)中,A等位基因(53.3%对44.0%,p = 0.033)和T等位基因(7.5%对2.8%,p = 0.009)的频率显著更高。与189名对照相比(对照中T等位基因频率为2.9%,p = 0.009),T等位基因在精英运动员中(7.5%)也占比过高。总之,我们展示了第一项针对运动员的WGS研究,表明WGS可应用于体育和运动科学领域。