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Konopka MJ, van den Bunder JCML, Rietjens G, Sperlich B, Zeegers MP. Genetics of long-distance runners and road cyclists-A systematic review with meta-analysis. Scand J Med Sci Sports 2022; 32:1414-1429. [PMID: 35839336 PMCID: PMC9544934 DOI: 10.1111/sms.14212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 07/05/2022] [Accepted: 07/06/2022] [Indexed: 01/12/2023]
Abstract
The aim of this systematic review and meta-analysis was to identify the genetic variants of (inter)national competing long-distance runners and road cyclists compared with controls. The Medline and Embase databases were searched until 15 November 2021. Eligible articles included genetic epidemiological studies published in English. A homogenous group of endurance athletes competing at (inter)national level and sedentary controls were included. Pooled odds ratios based on the genotype frequency with corresponding 95% confidence intervals (95%CI) were calculated using random effects models. Heterogeneity was addressed by Q-statistics, and I2 . Sources of heterogeneity were examined by meta-regression and risk of bias was assessed with the Clark Baudouin scale. This systematic review comprised of 43 studies including a total of 3938 athletes and 10 752 controls in the pooled analysis. Of the 42 identified genetic variants, 13 were investigated in independent studies. Significant associations were found for five polymorphisms. Pooled odds ratio [95%CI] favoring athletes compared with controls was 1.42 [1.12-1.81] for ACE II (I/D), 1.66 [1.26-2.19] for ACTN3 TT (rs1815739), 1.75 [1.34-2.29] for PPARGC1A GG (rs8192678), 2.23 [1.42-3.51] for AMPD1 CC (rs17602729), and 2.85 [1.27-6.39] for HFE GG + CG (rs1799945). Risk of bias was low in 25 (58%) and unclear in 18 (42%) articles. Heterogeneity of the results was low (0%-20%) except for HFE (71%), GNB3 (80%), and NOS3 (76%). (Inter)national competing runners and cyclists have a higher probability to carry specific genetic variants compared with controls. This study confirms that (inter)national competing endurance athletes constitute a unique genetic make-up, which likely contributes to their performance level.
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Affiliation(s)
- Magdalena Johanna Konopka
- Care and Public Health Research Institute (CAPHRI)Maastricht UniversityMaastrichtThe Netherlands,Department of EpidemiologyMaastricht University Medical CentreMaastrichtThe Netherlands
| | | | - Gerard Rietjens
- Department of Human Physiology and Sports MedicineVrije Universiteit BrusselBrusselsBelgium
| | - Billy Sperlich
- Integrative & Experimental Exercise Science & Training, Institute of Sport ScienceUniversity of WürzburgWürzburgGermany
| | - Maurice Petrus Zeegers
- Care and Public Health Research Institute (CAPHRI)Maastricht UniversityMaastrichtThe Netherlands,Department of EpidemiologyMaastricht University Medical CentreMaastrichtThe Netherlands,School of Nutrition and Translational Research in Metabolism (NUTRIM)Maastricht UniversityMaastrichtThe Netherlands
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Abstract
Sports genomics is the scientific discipline that focuses on the organization and function of the genome in elite athletes, and aims to develop molecular methods for talent identification, personalized exercise training, nutritional need and prevention of exercise-related diseases. It postulates that both genetic and environmental factors play a key role in athletic performance and related phenotypes. This update on the panel of genetic markers (DNA polymorphisms) associated with athlete status and soft-tissue injuries covers advances in research reported in recent years, including one whole genome sequencing (WGS) and four genome-wide association (GWAS) studies, as well as findings from collaborative projects and meta-analyses. At end of 2020, the total number of DNA polymorphisms associated with athlete status was 220, of which 97 markers have been found significant in at least two studies (35 endurance-related, 24 power-related, and 38 strength-related). Furthermore, 29 genetic markers have been linked to soft-tissue injuries in at least two studies. The most promising genetic markers include HFE rs1799945, MYBPC3 rs1052373, NFIA-AS2 rs1572312, PPARA rs4253778, and PPARGC1A rs8192678 for endurance; ACTN3 rs1815739, AMPD1 rs17602729, CPNE5 rs3213537, CKM rs8111989, and NOS3 rs2070744 for power; LRPPRC rs10186876, MMS22L rs9320823, PHACTR1 rs6905419, and PPARG rs1801282 for strength; and COL1A1 rs1800012, COL5A1 rs12722, COL12A1 rs970547, MMP1 rs1799750, MMP3 rs679620, and TIMP2 rs4789932 for soft-tissue injuries. It should be appreciated, however, that hundreds and even thousands of DNA polymorphisms are needed for the prediction of athletic performance and injury risk.
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Puccinelli PJ, Lima GHO, Pesquero JB, de Lira CAB, Vancini RL, Nikolaids PT, Knechtle B, Andrade MS. Previous experience, aerobic capacity and body composition are the best predictors for Olympic distance triathlon performance: Predictors in amateur triathlon. Physiol Behav 2020; 225:113110. [PMID: 32738318 DOI: 10.1016/j.physbeh.2020.113110] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 07/20/2020] [Accepted: 07/22/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE Present study examines predictors of the overall race time and disciplines in the Olympic distance triathlon. METHODS Thirty-nine male and six female triathletes were evaluated for anthropometric, physiological, genetic, training, clinical and circadian characteristics. Body composition, maximum capacity for oxygen uptake (V˙O2max), maximum aerobic velocity (MAV), anaerobic threshold (AT), triathlon experience (TE) and XX genotype for α-actinin 3 affected total race time (p<0.05). RESULTS Total race time can be predicted by MAV (ß = -0.430, t = -3.225, p = 0.003), TE (ß = -0.378, t = -3.605, p = 0.001), and percentage of lean mass (%LM) (ß = -0.332, t = -2.503, p = 0.017). Swimming can be predicted by MAV (ß = -0.403, t = -3.239, p = 0.002), TE (ß = -0.339, t = -2.876, p = 0.007), and AT%V˙O2max (ß = 0.281, t = 2.278, p = 0.028). Cycling can be predicted by MAV (ß = -0.341, t = -2.333, p = 0.025), TE (ß = -0.363, t = -3.172, p = 0.003), and %LM (ß = -0.326, t = -2.265, p = 0.029). In running split, MAV (ß = -0.768, t = -6.222, p < 0.001) was the only parameter present in the best multiple linear regression model. CONCLUSION The most important variables in multiple regression models for estimating performance were MAV, TE, AT and %LM.
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Affiliation(s)
| | - Giscard H O Lima
- Departament of Biophysics, Federal University of São Paulo, Brazil
| | - João B Pesquero
- Departament of Biophysics, Federal University of São Paulo, Brazil
| | - Claudio A B de Lira
- Human and Exercise Physiology Division, Faculty of Physical Education and Dance, Federal University of Goiás, Brazil
| | - Rodrigo L Vancini
- Center of Physical Education and Sports, Federal University of Espírito Santo, Brazil
| | | | - Beat Knechtle
- Institute of Primary Care, University of Zurich, Switzerland; Medbase St. Gallen Am Vadianplatz, St. Gallen, Switzerland
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Gronek P, Gronek J, Lulińska-Kuklik E, Spieszny M, Niewczas M, Kaczmarczyk M, Petr M, Fischerova P, Ahmetov II, Żmijewski P. Polygenic Study of Endurance-Associated Genetic Markers NOS3 (Glu298Asp), BDKRB2 (-9/+9), UCP2 (Ala55Val), AMPD1 (Gln45Ter) and ACE (I/D) in Polish Male Half Marathoners. J Hum Kinet 2018; 64:87-98. [PMID: 30429902 PMCID: PMC6231335 DOI: 10.1515/hukin-2017-0204] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
The purpose of this study was to investigate individually and in combination the association between the ACE (I/D), NOS3 (Glu298Asp), BDKRB2 (-9/+9), UCP2 (Ala55Val) and AMPD1 (Gln45Ter) variants with endurance performance in a large, performance-homogenous cohort of elite Polish half marathoners. The study group consisted of 180 elite half marathoners: 76 with time < 100 minutes and 104 with time > 100 minutes. DNA of the subjects was extracted from buccal cells donated by the runners and genotyping was carried out using an allelic discrimination assay with a C1000 Touch Thermal Cycler (Bio-Rad, Germany) instrument with TaqMan® probes (NOS3, UCP2, and AMPD1) and a T100™ Thermal Cycler (Bio-Rad, Germany) instrument (ACE and BDKRB2). We found that the UCP2 Ala55Val polymorphism was associated with running performance, with the subjects carrying the Val allele being overrepresented in the group of most successful runners (<100 min) compared to the >100 min group (84.2 vs. 55.8%; OR = 4.23, p < 0.0001). Next, to assess the combined impact of 4 gene polymorphisms, all athletes were classified according to the number of 'endurance' alleles (ACE I, NOS3 Glu, BDKRB2 -9, UCP2 Val) they possessed. The proportion of subjects with a high (4-7) number of 'endurance' alleles was greater in the better half marathoners group compared with the >100 min group (73.7 vs. 51.9%; OR = 2.6, p = 0.0034). These data suggest that the likelihood of becoming an elite half marathoner partly depends on the carriage of a high number of endurance-related alleles.
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Affiliation(s)
- Piotr Gronek
- Laboratory of Genetics, Department of Gymnastics and Dance, University School of Physical Education in Poznań, Poznań, Poland
| | - Joanna Gronek
- Laboratory of Genetics, Department of Gymnastics and Dance, University School of Physical Education in Poznań, Poznań, Poland
| | - Ewelina Lulińska-Kuklik
- Department of Tourism and Recreation, University of Physical Education and Sport, Gdańsk, Poland
| | - Michał Spieszny
- Institute of Sports, Faculty of Physical Education and Sports, University of Physical Education, Krakow, Poland
| | - Marta Niewczas
- Faculty of Physical Education University of Rzeszów, RzeszówPoland
| | - Mariusz Kaczmarczyk
- Department of Tourism and Recreation, University of Physical Education and Sport, Gdańsk, Poland
| | - Miroslav Petr
- Department of Sport Games, Charles University in Prague, Prague, Czech Republic
| | - Patricia Fischerova
- Department of Methodology, Statistics and Informatics, J.Kukuczka Academy of Physical Education in Katowice, KatowicePoland
| | - Ildus I. Ahmetov
- Laboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia
| | - Piotr Żmijewski
- Faculty of Medicine, University of Information Technology and Management in Rzeszow, Rzeszow, Poland
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Zmijewski P, Grenda A, Leońska-Duniec A, Ahmetov I, Orysiak J, Cięszczyk P. Effect of BDKRB2 Gene -9/+9 Polymorphism on Training Improvements in Competitive Swimmers. J Strength Cond Res 2016; 30:665-71. [PMID: 26907838 DOI: 10.1519/jsc.0000000000001145] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The aim of the study was to investigate the possible association between the BDKRB2 gene and training-induced improvements in swimming performance in well-trained swimmers. One hundred Polish swimmers (52 men and 48 women, aged 18.1 ± 1.9 years), who competed in national and international competitions at middle- (200 m) and long-distance events (≥400 m), were included in the study. Athletes' genotype and allele distributions were analyzed in comparison to 230 unrelated sedentary subjects, who served as controls, with the χ test. All samples were genotyped for the BDKRB2 -9/+9 polymorphism by polymerase chain reaction. The effects of genotype on swimming performance improvements were analyzed with two-way (3 × 2; genotype × time) analysis of variance with metric age as a covariate. The training period of 1.9 ± 0.4 years had a significant (p < 0.01) effect on swimming performance, both in female and male athletes. Both in female and male athletes, the BDKRB2 gene -9/+9 polymorphism had no significant effect on swimming performance. An interaction effect of BDKRB2 gene -9/+9 polymorphism × time was found for swimming performance only in male athletes. Post hoc analyses showed that swimmers with the +9/+9 BDKRB2 genotype had a greater improvement in swimming performance than swimmers with the -9/+9 polymorphism (p ≤ 0.05). No interaction effects for gender × BDKRB2 gene -9/+9 polymorphism were found for either swimming performance or improvement in swimming performance. These results suggest that the response to long-term exercise training could be modulated by the BDKRB2 gene -9/+9 polymorphism in male athletes. In well-trained swimmers, BDKRB2 gene variation was not found to be an independent determinant of swimming performance.
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Affiliation(s)
- Piotr Zmijewski
- 1Department of Physiology, Institute of Sport, Warsaw, Poland;2Department of Physical Education and Sport, West Pomeranian Technological University, Szczecin, Poland;3Faculty of Physical Culture and Health Promotion, University of Szczecin, Szczecin, Poland;4Faculty of Tourism and Recreation, Academy of Physical Education and Sport, Gdansk, Poland;5Sport Technology Research Centre, Volga Region State Academy of Physical Culture, Sport and Tourism, Kazan, Russia; and6Department of Physiology of Nutrition, Institute of Sport, Warsaw, Poland
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Abstract
Understanding the genetic architecture of athletic performance is an important step in the development of methods for talent identification in sport. Research concerned with molecular predictors has highlighted a number of potentially important DNA polymorphisms contributing to predisposition to success in certain types of sport. This review summarizes the evidence and mechanistic insights on the associations between DNA polymorphisms and athletic performance. A literature search (period: 1997-2014) revealed that at least 120 genetic markers are linked to elite athlete status (77 endurance-related genetic markers and 43 power/strength-related genetic markers). Notably, 11 (9%) of these genetic markers (endurance markers: ACE I, ACTN3 577X, PPARA rs4253778 G, PPARGC1A Gly482; power/strength markers: ACE D, ACTN3 Arg577, AMPD1 Gln12, HIF1A 582Ser, MTHFR rs1801131 C, NOS3 rs2070744 T, PPARG 12Ala) have shown positive associations with athlete status in three or more studies, and six markers (CREM rs1531550 A, DMD rs939787 T, GALNT13 rs10196189 G, NFIA-AS1 rs1572312 C, RBFOX1 rs7191721 G, TSHR rs7144481 C) were identified after performing genome-wide association studies (GWAS) of African-American, Jamaican, Japanese, and Russian athletes. On the other hand, the significance of 29 (24%) markers was not replicated in at least one study. Future research including multicenter GWAS, whole-genome sequencing, epigenetic, transcriptomic, proteomic, and metabolomic profiling and performing meta-analyses in large cohorts of athletes is needed before these findings can be extended to practice in sport.
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Affiliation(s)
- Ildus I Ahmetov
- Sport Technology Research Center, Volga Region State Academy of Physical Culture, Sport and Tourism, Kazan, Russia; Laboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia.
| | - Olga N Fedotovskaya
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
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Grenda A, Leońska-Duniec A, Cięszczyk P, Zmijewski P. Bdkrb2 gene -9/+9 polymorphism and swimming performance. Biol Sport 2014; 31:109-13. [PMID: 24899774 PMCID: PMC4042657 DOI: 10.5604/20831862.1096047] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/24/2014] [Indexed: 01/19/2023] Open
Abstract
The aim of the study was to evaluate the association between swimming performance and the -9/+9 (rs5810761) polymorphism within the BDKRB2 gene in successful competitive swimmers. Best individual swimming results expressed in FINA points achieved at short, middle and long distance events of 157 well-trained Polish swimmers were incorporated into an analysis. Athletes' genotype and allele distributions were analysed in comparison to 230 unrelated sedentary subjects who served as controls with the χ(2) test. All samples were genotyped for the BDKRB2 -9/+9 polymorphism using the polymerase chain reaction (PCR). The effects of genotype on swimming performance were analysed with two-way (3 x 2; genotype x gender) analysis of variance with metrical age as a covariate for each distance specialization. No statistical differences in the genotype and allele frequencies were found in long distance swimmers when compared with the total group of swimmers or controls. The BDKRB2 +9/-9 genotype had no significant effect on swimming performance at short, middle or long distance, regardless of gender. The results of this study do not support the hypothesis that the BDKRB2 -9/+9 polymorphism is associated with swimming performance in Polish swimmers.
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Affiliation(s)
- A Grenda
- Department of Physical Education and Sport, West Pomeranian Technological University, Szczecin, Poland
| | - A Leońska-Duniec
- Faculty of Physical Culture and Health Promotion, University of Szczecin, Szczecin, Poland ; Faculty of Tourism and Recreation, Academy of Physical Education and Sport, Gdansk, Poland
| | - P Cięszczyk
- Faculty of Physical Culture and Health Promotion, University of Szczecin, Szczecin, Poland ; Faculty of Tourism and Recreation, Academy of Physical Education and Sport, Gdansk, Poland
| | - P Zmijewski
- Department of Physiology, Institute of Sport, Warsaw, Poland
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Mustafina LJ, Naumov VA, Cieszczyk P, Popov DV, Lyubaeva EV, Kostryukova ES, Fedotovskaya ON, Druzhevskaya AM, Astratenkova IV, Glotov AS, Alexeev DG, Mustafina MM, Egorova ES, Maciejewska-Karłowska A, Larin AK, Generozov EV, Nurullin RE, Jastrzębski Z, Kulemin NA, Ospanova EA, Pavlenko AV, Sawczuk M, Akimov EB, Danilushkina AA, Zmijewski P, Vinogradova OL, Govorun VM, Ahmetov II. AGTR2 gene polymorphism is associated with muscle fibre composition, athletic status and aerobic performance. Exp Physiol 2014; 99:1042-52. [PMID: 24887114 DOI: 10.1113/expphysiol.2014.079335] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Muscle fibre type is a heritable trait and can partly predict athletic success. It has been proposed that polymorphisms of genes involved in the regulation of muscle fibre characteristics may predispose the muscle precursor cells of a given individual to be predominantly fast or slow. In the present study, we examined the association between 15 candidate gene polymorphisms and muscle fibre type composition of the vastus lateralis muscle in 55 physically active, healthy men. We found that rs11091046 C allele carriers of the angiotensin II type 2 receptor gene (AGTR2; involved in skeletal muscle development, metabolism and circulatory homeostasis) had a significantly higher percentage of slow-twitch fibres than A allele carriers [54.2 (11.1) versus 45.2 (10.2)%; P = 0.003]. These data indicate that 15.2% of the variation in muscle fibre composition of the vastus lateralis muscle can be explained by the AGTR2 genotype. Next, we investigated the frequencies of the AGTR2 alleles in 2178 Caucasian athletes and 1220 control subjects. The frequency of the AGTR2 C allele was significantly higher in male and female endurance athletes compared with power athletes (males, 62.7 versus 51.7%, P = 0.0038; females, 56.6 versus 48.1%, P = 0.0169) and control subjects (males, 62.7 versus 51.0%, P = 0.0006; elite female athletes, 65.1 versus 55.2%, P = 0.0488). Furthermore, the frequency of the AGTR2 A allele was significantly over-represented in female power athletes (51.9%) in comparison to control subjects (44.8%, P = 0.0069). We also found that relative maximal oxygen consumption was significantly greater in male endurance athletes with the AGTR2 C allele compared with AGTR2 A allele carriers [n = 28; 62.3 (4.4) versus 57.4 (6.0) ml min(-1) kg(-1); P = 0.0197]. Taken together, these results demonstrate that the AGTR2 gene C allele is associated with an increased proportion of slow-twitch muscle fibres, endurance athlete status and aerobic performance, while the A allele is associated with a higher percentage of fast-twitch fibres and power-oriented disciplines.
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Affiliation(s)
- Leysan J Mustafina
- Sport Technology Research Centre, Volga Region State Academy of Physical Culture, Sport and Tourism, Kazan, Russia Laboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia
| | | | - Pawel Cieszczyk
- Department of Tourism and Recreation, Academy of Physical Education and Sport, Gdansk, Poland Department of Physical Culture and Health Promotion, University of Szczecin, Szczecin, Poland
| | - Daniil V Popov
- Laboratory of Exercise Physiology, SSC RF Institute for Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
| | - Ekaterina V Lyubaeva
- Laboratory of Exercise Physiology, SSC RF Institute for Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
| | | | - Olga N Fedotovskaya
- Sports Genetics Laboratory, St Petersburg Research Institute of Physical Culture, St Petersburg, Russia
| | - Anastasiya M Druzhevskaya
- Sports Genetics Laboratory, St Petersburg Research Institute of Physical Culture, St Petersburg, Russia
| | - Irina V Astratenkova
- Sports Genetics Laboratory, St Petersburg Research Institute of Physical Culture, St Petersburg, Russia
| | | | - Dmitry G Alexeev
- Research Institute for Physical-Chemical Medicine, Moscow, Russia
| | | | - Emiliya S Egorova
- Laboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia
| | | | - Andrey K Larin
- Research Institute for Physical-Chemical Medicine, Moscow, Russia
| | | | - Ruslan E Nurullin
- Sport Technology Research Centre, Volga Region State Academy of Physical Culture, Sport and Tourism, Kazan, Russia
| | - Zbigniew Jastrzębski
- Department of Tourism and Recreation, Academy of Physical Education and Sport, Gdansk, Poland
| | | | - Elena A Ospanova
- Research Institute for Physical-Chemical Medicine, Moscow, Russia
| | | | - Marek Sawczuk
- Department of Physical Culture and Health Promotion, University of Szczecin, Szczecin, Poland
| | - Egor B Akimov
- Centre for Sports Innovation Technologies and National Teams of the Moscow Department of Physical Culture and Sport, Moscow, Russia
| | - Anna A Danilushkina
- Laboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia
| | - Piotr Zmijewski
- Department of Physiology, Institute of Sport, Warsaw, Poland
| | - Olga L Vinogradova
- Laboratory of Exercise Physiology, SSC RF Institute for Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
| | - Vadim M Govorun
- Research Institute for Physical-Chemical Medicine, Moscow, Russia
| | - Ildus I Ahmetov
- Sport Technology Research Centre, Volga Region State Academy of Physical Culture, Sport and Tourism, Kazan, Russia Laboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia Research Institute for Physical-Chemical Medicine, Moscow, Russia Sports Genetics Laboratory, St Petersburg Research Institute of Physical Culture, St Petersburg, Russia
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