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.

Allele distribution of hypoxia-inducible factor gene (HIF1A; Pro582Ser polymorphism) was studied in power-oriented athletes and controls practicing no athletics; genotype relationships with muscle fiber composition were studied in speed skaters. Genotyping was carried out by PCR. The composition of muscle fibers was evaluated by the immunohistochemical analysis of m. vastus lateralis. The incidence of HIF1A Ser allele was significantly higher in weight-lifters than in controls (17.9 vs. 8.5%; p=0.001) and increased with athletic skill improvement. A relationship between HIF1A Ser allele and predominance of fast-twitch muscle fibers was shown (Pro/Ser 46.2 (13.8)%, Pro/Pro 31.4 (8.2)%; p=0.007). Hence, HIF1A Pro582Ser polymorphism is associated with muscle activity in humans.

Hypoxia-inducible factor-1α (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.