The HIF1A gene Pro582Ser polymorphism in Russian strength athletes

Hypoxiainducible factor-1a (encoded by HIF1A gene) controls a number of genes that are implicated in various cellular functions including glycolysis and cell proliferation and differentiation. The rs11549465 C > T polymorphism in the HIF1A gene, which produces the amino acid substitution Pro582Ser, increases protein stability and transcriptional activity and, therefore, improves glucose metabolism. The aim of our study was to investigate the association between the HIF1A Pro582Ser polymorphism and elite strength athlete status. A total of 208 Russian strength athletes (122 weightlifters and 86 wrestlers) of regional or national competitive standard and 1,413 controls were genotyped using the polymerase chain reaction-restriction fragment length polymorphism method. We found that the frequency of the HIF1A 582Ser variant was significantly higher in weightlifters (13.1%, p = 0.0031) and wrestlers (15.7%, p = 0.0002) compared with the controls (7.5%). Additionally, the highest (21.1%, p = 0.0052) frequency of the 582Ser variant was found in a group of elite strength athletes. Thus, our study provides evidence for an association between the HIF1A gene Pro582Ser polymorphism and elite strength athlete status. Although more replication studies are needed, the preliminary data suggest an opportunity to use the analysis of HIF1A polymorphism along with other gene variations and standard phenotypic assessment in sports selection

The combined impact of metabolic gene polymorphisms on elite endurance athlete status and related phenotypes

Endurance performance is a complex phenotype subject to the influence of both environmental and genetic factors. Although the last decade has seen a variety of specific genetic factors proposed, many in metabolic pathways, each is likely to make a limited contribution to an 'elite' phenotype: it seems more likely that such status depends on the simultaneous presence of multiple such variants. The aim of the study was to investigate individually and in combination the association of common metabolic gene polymorphisms with endurance athlete status, the proportion of slow-twitch muscle fibers and maximal oxygen consumption. A total of 1,423 Russian athletes and 1,132 controls were genotyped for 15 gene polymorphisms, of which most were previously reported to be associated with athlete status or related intermediate phenotypes. Muscle fiber composition of m. vastus lateralis in 45 healthy men was determined by immunohistochemistry. Maximal oxygen consumption of 50 male rowers of national competitive standard was determined during an incremental test to exhaustion on a rowing ergometer. Ten 'endurance alleles' (NFATC4 Gly160, PPARA rs4253778 G, PPARD rs2016520 C, PPARGC1A Gly482, PPARGC1B 203Pro, PPP3R1 promoter 5I, TFAM 12Thr, UCP2 55Val, UCP3 rs1800849 T and VEGFA rs2010963 C) were first identified showing discrete associations with elite endurance athlete status. Next, to assess the combined impact of all 10 gene polymorphisms, all athletes were classified according to the number of 'endurance' alleles they possessed. The proportion of subjects with a high (≥9) number of 'endurance' alleles was greater in the best endurance athletes compared with controls (85.7 vs. 37.8%, P = 7.6 × 10-6). The number of 'endurance' alleles was shown to be positively correlated (r = 0.50; P = 4.0 × 10-4) with the proportion of fatigue-resistant slow-twitch fibers, and with maximal oxygen consumption (r = 0.46; P = 7.0 × 10-4). These data suggest that the likelihood of becoming an elite endurance athlete depends on the carriage of a high number of endurance-related alleles

Athlome Project Consortium: a concerted effort to discover genomic and other "omic" markers of athletic performance.

Despite numerous attempts to discover genetic variants associated with elite athletic performance, injury predisposition, and elite/world-class athletic status, there has been limited progress to date. Past reliance on candidate gene studies predominantly focusing on genotyping a limited number of single nucleotide polymorphisms or the insertion/deletion variants in small, often heterogeneous cohorts (i.e., made up of athletes of quite different sport specialties) have not generated the kind of results that could offer solid opportunities to bridge the gap between basic research in exercise sciences and deliverables in biomedicine. A retrospective view of genetic association studies with complex disease traits indicates that transition to hypothesis-free genome-wide approaches will be more fruitful. In studies of complex disease, it is well recognized that the magnitude of genetic association is often smaller than initially anticipated, and, as such, large sample sizes are required to identify the gene effects robustly. A symposium was held in Athens and on the Greek island of Santorini from 14-17 May 2015 to review the main findings in exercise genetics and genomics and to explore promising trends and possibilities. The symposium also offered a forum for the development of a position stand (the Santorini Declaration). Among the participants, many were involved in ongoing collaborative studies (e.g., ELITE, GAMES, Gene SMART, GENESIS, and POWERGENE). A consensus emerged among participants that it would be advantageous to bring together all current studies and those recently launched into one new large collaborative initiative, which was subsequently named the Athlome Project Consortium