Abstract
The Lys(K)153Arg(R) polymorphism in exon 2 (rs1805086, 2379 A>G replacement) of the myostatin (MSTN) gene is a candidate to influence skeletal muscle phenotypes. We examined the association between the MSTN K153R polymorphism and ‘explosive’ leg power, assessed during sprint (30 m) and stationary jumping tests [squat (SJ) and counter-movement jumps (CMJ)] in non-athletic young adults (University students) [n = 281 (214 men); age: 21–32 years]. We also genotyped the MSTN exonic variants E164K (rs35781413), I225T, and P198A, yet no subject carried any of these variant MSTN alleles. As for the K153R polymorphism, we found only one woman with the KR genotype; thus, we presented the results only for men. The results of a one-way ANCOVA (with age, weight and height entered as covariates) showed that men with the KR genotype (n = 15) had a worse performance in vertical jumps compared with those with the KK genotype [SJ: vertical displacement of center of gravity (CG) of 35.17±1.42 vs. 39.06±0.39 cm, respectively, P = 0.009; CMJ: vertical displacement of CG of 36.44±1.50 vs. 40.63±0.41 cm, respectively, P = 0.008]. The results persisted after adjusting for multiple comparisons according to Bonferroni. Performance in 30 m sprint tests did however not differ by K153R genotypes. In summary, the MSTN K153R polymorphism is associated with the ability to produce ‘peak’ power during muscle contractions, as assessed with vertical jump tests, in young non-athletic men. Although more research is still needed, this genetic variation is among the numerous candidates to explain, alone or in combination with other polymorphisms, individual variations in muscle phenotypes.
Introduction
Some gene polymorphisms are candidates to explain individual variations in muscle phenotypes. The myostatin (MSTN or growth differentiation factor 8, GDF8 [MIM601788]) gene [1] is receiving growing attention in the last years. The MSTN gene encodes myostatin, a skeletal muscle-specific secreted peptide that functions mainly to modulate myoblast proliferation and thus muscle mass and strength [2]. Variants of the MSTN gene are associated with muscle hypertrophy phenotypes in a range of mammalian species, most notably cattle [3], [4], dogs [5] and mice [2]. A MSTN polymorphism was recently associated with sprinting ability and racing stamina in thoroughbred horses [6]. The myostatin-null mouse model also provides insights into the physiological role of this protein. Besides its function in reducing sarcopenia [7], it appears that myostatin also regulates the structure and function of tendon tissues, as the stiffness of tendons is 14 times higher in myostatin-deficient mice than in their wild type controls [8].
Variations in the MSTN gene, as well as myostatin inhibition, can also have functional consequences in humans (see below). The potential association between MSTN variations and muscle mass phenotypes is best exemplified in the study by Schuelke et al. [9]. They reported the case of 4-year old child with both copies of the MSTN gene carrying a mutation (g.IVS1+5g→a transition in the splice donor site in intron 1) that results in a premature stop codon and failure to synthesize a mature, functioning protein. The child exhibited extraordinary muscle development for his age and precocious physical prowess. Systemic treatment with the myostatin inhibitor MYO-029 provides an adequate safety margin and can induce improvements in the muscle strength/function of adult patients with muscular distrophies [10]. As this type of treatment would be likely to also stimulate muscle growth in healthy humans, myostatin manipulation could be among the next generation of doping in elite sports [11].
Of the identified MSTN variations in humans, the Lys(K)153Arg(R) polymorphism located in exon 2 (rs1805086, 2379 A>G replacement) is one candidate to influence skeletal muscle phenotypes [12]. The Lys(K)153Arg(R) aminoacid replacement is found within the active mature peptide of the myostatin protein; it could theoretically influence proteolytic processing with its propeptide, or affinity to bind with the extracellular activin type II receptor (ActRIIB). The latter results in intracellular activation the SMAD pathway, through which myostatin induces myoblast proliferation [13] and differentiation [14], and thus muscle mass [15]. The frequency of the mutant R allele is of about 3–4% among Caucasians, with a frequency of mutant homozygotes (RR) below 1% [12], [15], [16]. Such low allelic frequency certainly limits the possibility of studying large groups of people carrying the R variant. To date, published data on the MSTN K153R polymorphism and human muscle phenotypes have yield controversial results, partly attributable to inter-ethnic and gender differences. Kostek et al. [15] recently found an association between the variant MSTN 153R allele and maximal isometric contraction of the elbow muscle flexors in African-American young adults of both genders, yet not in Caucasians. Previous studies reported no significant effect of MSTN variants on the muscle mass response to strength training of either Caucasians or African Americans of both genders, including World-class body-builders and elite power lifters [12]. Although, in another study MSTN genotypes did not explain differences in the hypertrophic response to strength training in adults of both genders, when women were analysed separately, the 153R allele was associated with a greater muscle hypertrophic response to training [17]. The MSTN K153R polymorphism can also affect muscle phenotypes in the elderly [16], [18], [19]. For instance, Seibert et al. reported lower muscle strength in old African American women (n = 54, 70–79 years) who carried the variant 153R allele [18].
No study has yet assessed the association between MSTN genotypes and muscle power during naturally occurring movements, e.g. jumping and sprinting tasks. It was the purpose of our study to examine the association between the MSTN K153R polymorphism and ‘explosive’ leg power of non-athletic young adults, as assessed during specific jumping and sprint tests. We hypothesized that the 153R allele is associated with decreased performance in the aforementioned tests. We also genotyped the MSTN exonic variants E164K (rs35781413), I225T and P198A because they also seem to cause amino acid replacements in the gene product (myostatin) expressed in human skeletal muscle [20].
Methods
Ethics statement
The Medical Ethics Committee of Universidad Europea de Madrid (Madrid, Spain) approved the study design, study protocols and informed consent procedure. All participants provided written informed consent.
Subjects
The study sample comprised 281 healthy young adults (University students) [mean(SD) age: 21(2) years (range: 21, 32)] of both genders (214 men, 67 women) who took part in a previous study [21]. Inclusion criteria were to be free of any diagnosed cardiorespiratory disease, and not to be engaged in competitive sports such as (i) formal, supervised ‘power’ (e.g. weight lifting or alpine skiing) or jumping oriented type of training (e.g. plyometrics, volleyball or basketball) or (ii) endurance training (e.g. running, swimming of bicycling), that is, performing less than one (power) or three (endurance) structured weekly training sessions within the last year. All participants were of the same Spanish (Caucasian) ancestry for at least 3 generations.
Genotype assessment
Sequences corresponding to the E164K, I225T, K153R and P198A variants were amplified during Spring 2009 by the polymerase chain reaction (PCR) in the Genetics Laboratory of the Universidad Europea de Madrid. The primers used were 5′-GAAAACCCAAATGTTGCTTC-3′ and 5′-TGTCTAGCTTATGAGCTTAGGG-3′. The PCR conditions were as follows: initial denaturing at 95°C 10 min; 35 cycles at 95°C 1 min, 52°C 45 s, 72°C 1 min and a final extension at 72°C 5 min.
The resulting PCR products were genotyped by single base extension (SBE) [22]. The primers used for E164K, I225T K153R, and P198A were 5′-CAAACACTGTTGTAGGAGTCT-3′, 5′-CTGAATCCAACTTAGGCA-3′, 5′-TTTAATACAATACAATAAAGTAGTAA-3′, and 5′-TTTTTTTTATCTCTGAAACTTGACATGAAC-3′ respectively. The PCR SBE conditions were: 96°C 10 s; 25 cycles at 50°C 5 s and 60°C 30 s. The resulting PCR products were detected in an ABI PRISM (Applied Biosystems, Foster City, CA).
Phenotype assessment
Assessment of leg muscle ‘explosive’ power was performed during spring 2008 in the same location (UEM) and all the tests were supervised by the same researchers, as detailed elsewhere [21]. Squat (SJ) and counter-movement jump (CMJ) tests were performed using an infrared contact timing platform (Globus Ergo Tester, Codognè, Italy) to evaluate leg muscles' ability to produce ‘explosive’ power [23]. Both tests were performed three times (each separated by a two-minute rest period) and the best score was retained.
Subjects also performed a 30 m sprint test in an indoor rubberized track under two conditions: (1) starting from the stationary (standing) position [23] and (ii) starting with a previous 15 m run (running) thereby allowing achieving higher speeds in the first meters of the test [24]. The difference in performance time between both tests (at 15 m and 30 m respectively) was used as an index of subject's ability to produce acceleration, i.e. lesser difference implies higher acceleration capacity. We used photoelectric gates at 0, 15 and 30 meters to start and stop a digital timer. We previously showed the reliability of the aforementioned tests for explosive leg muscle power assessment in a subgroup of the present subjects [21].
Statistical analysis
We tested Hardy-Weinberg equilibrium using a χ2 test. We analysed the differences in the study phenotypes among genotypes (KK vs. KR) of the K153R (rs1805086) polymorphism by one-way analysis of covariance, where the polymorphism was entered as a fixed factor, the phenotype was entered as a dependent variable, and age, weight and height were entered as covariates. We calculated the effect size statistics as Cohen's d (standardized mean differences) and 95% confidence interval [25]. Values of d 0.2, 0.5 and 0.8 are considered small, medium and large effects, respectively. We used Bonferroni & Holm method to correct for multiple testing [26]. All statistical analyses were performed using the PASW (v. 18.0 for WINDOWS, Chicago).
Results
We detected no failures in sample collection and DNA acquisition. Genotyping success rate was >99.29% (two missing data, one man and one woman).
Genotype distributions met Hardy-Weinberg equilibrium (P = 0.59). No subject carried the variant alleles E164K, I225T, or P198A. We found only one woman with the KR genotype; thus, we present the results only for men. Table 1 shows the association between the K153R polymorphism and study phenotypes in men. We observed that men with the KR genotype had a worse performance in vertical jump (SJ and CMJ) compared with those with the KK genotype. The results persisted after adjusting for multiple comparisons. The variance explained ranged from 5 to 10%. Effect size statistics, as measured by the Cohen's d, indicated a medium effect size. Performance in sprint tests did not differ by K153R genotypes.
Table 1. Mean estimates of study phenotypes by genotypes of the K153R (rs1805086) polymorphism in the GDF8 gene in men.
KK (n = 201) | KR (n = 15) | P | R2 | Cohen's d | (95%CI) | |||
Vertical Jump Tests | ||||||||
SJ | ||||||||
Flight time (s) | 563.09 | (38.95) | 533.94 | (43.13) | 0.007 | 0.100 | 0.74 | 0.461–1.014 |
Vertical displacement of CG (cm) | 39.06 | (5.44) | 35.17 | (5.49) | 0.009 | 0.095 | 0.71 | 0.431–0.983 |
CMJ | ||||||||
Flight time (s) | 574.35 | (39.62) | 543.29 | (46.20) | 0.005 | 0.057 | 0.76 | 0.483–1.038 |
Vertical displacement of CG (cm) | 40.63 | (5.67) | 36.44 | (5.92) | 0.008 | 0.053 | 0.72 | 0.446–0.999 |
Sprint Tests | ||||||||
30m running start | ||||||||
Time at 15 m (s) | 1.92 | (0.14) | 1.91 | (0.08) | 0.684 | 0.049 | 0.11 | −0.159–0.378 |
Time at 30 m (s) | 3.76 | (0.21) | 3.75 | (0.17) | 0.987 | 0.065 | 0.00 | −0.263–0.273 |
30m standing start | ||||||||
Time at 15 m (s) | 2.54 | (0.12) | 2.56 | (0.13) | 0.533 | 0.002 | −0.17 | −0.436–0.101 |
Time at 30 m (s) | 4.41 | (0.19) | 4.44 | (0.23) | 0.559 | 0.014 | 0.16 | −0.111–0.425 |
Values are means (standard deviation).
P values related to group differences (one way analysis of covariance after adjusting for age, weight and height).
Cohen's d (standardized mean differences) and 95% confidence interval (CI). Values of d 0.2, 0.5 and 0.8 are considered small, medium and large effects, respectively.
Abbreviations: SJ, squat jump; CMJ, counter-movement jump; CG, centre of gravity.
Discussion
The main, novel finding of our study was that the variant 153R allele of the MSTN K153R polymorphism is associated with decreased jumping performance in young non-athletic men. Sprinting (running) ability was however unaffected by the MSTN K153R genotypes. Although more research is needed, and while keeping in mind that exercise-related phenotypes are likely polygenic, our data give support for a role of the MSTN K153R polymorphism in explaining, at least partly, individual variations in the humans' capacity for muscle ‘peak’ power generation. In contrast, in the present cohort of subjects we previously found no association between performance in the jump/sprint tests and the R577X polymorphism in the gene (ACTN3) encoding α-actinin-3 [21]. This variation is thought to play an important role in the muscles' ability to produce high power, at least in elite athletes [27].
We assessed ‘explosive’ muscle power by means of jumping and sprinting tests, which are naturally occurring multi-joint movements in humans that involve the coordinated participation of the majority of lower limb muscles [28], [29]. We believe this is in fact a strength of our study versus previous research in the field of genetics and exercise-related phenotypes that used other tests for muscle power assessment, for instance, maximal concentric muscle work during single-joint movements (e.g. flexor elbow contractions) at relatively low angular velocities (≤120°·s−1) [30]. However, during actual natural high muscle power actions such as the sprint and jumps performed by our subjects, angular velocities at the hip or knee joints can approach 800–1000°·s−1 [31]. To note is that our findings are partly limited by the fact that we did not assess muscle mass in our cohort, and therefore we could not determine whether the influence of MSTN K153R genotypes on muscle power is mediated by its expected effects on muscle mass. Finally, the finding that the MSTN K153R polymorphism was associated with vertical jump performance but not with sprint performance warrants further investigation. Although both tests are thought to determine muscle power performance, stationary jumps and running sprints are determined by different factors. The critical factor during running sprints, owing to the short duration of the foot contact on the ground, is the rate of force development, which in turn is determined by many factors such as muscle fibre type, synchronization of motor units, tendon stiffness, or lean mass of lower extremities [32]. In contrast, the ability of leg muscles (quadriceps) to produce power during the concentric phase of muscle contraction is the main factor affecting stationary vertical jumps as the ones we used here [33]. The elastic properties of tendons can also influence jump ability, at least in the case of CMJ. Compared with a stiffer muscle tendon complex (MTC), people with a more compliant MTC should be more efficient in utilizing elastic strain energy during jumps [34], [35]. The fact that our KR subjects showed worst jumping performance than their wild-type KK counterparts could be associated, at least partly, with a potential role of myostatin in tendon structure. Myostatin-deficient mice showed indeed 14 times higher tendon stiffness than wild-type mice [8]. Further research is needed to determine the possible association between MSTN polymorphisms and tendon characteristics in humans. Up to date, published data on the MSTN K153R polymorphism and human muscle phenotypes (at baseline or in response to training) have yield controversial results, at least in adults of young or medium age. Inter-ethnic differences in allele frequencies, gender-related differences and the low allelic frequency of the 153R allele (limiting the possibility of studying large groups of people carrying the R variant) are important reasons for controversy. Kostek et al. [15] recently found an association between the MSTN 153R allele and maximal isometric contraction of the elbow muscle flexors in a group of 23 African-American young adults of both genders, yet this association was not corroborated in a much larger cohort of Caucasian young adults (n = 509, also men and women). Maximal dynamic contraction (one repetition maximum) was also unaffected by MSTN genotypes in both cohorts. Ferrell et al. [12] reported no significant effect of the MSTN variants we studied here on the muscle mass response to strength training in either Caucasians or African Americans (n = 153 men and women). In another study [17], MSTN genotypes did not explain differences in the hypertrophic response to strength training in 32 adults (age range: 21–75 years) of both genders studied as a group; yet, when women were analyzed separately the 153R allele was associated with a 68% larger increase in muscle volume in response to training. Thomis et al. [30] reported similar values in elbow flexor strength at baseline or in response to training in a young adult with the 153KR genotype compared with those with the 153KK genotype. Evidence for the putative influence of the MSTN K153R polymorphism on muscle phenotypes is probably stronger in the elderly [16], [18], [19]. Notably, in a cohort of old African American women (n = 54, 70–79 years). Seibert et al. [18] reported lower muscle strength (hip and knee flexion and handgrip strength combined) in those who carried the 153R allele. We recently reported lower muscle mass/function in a very old woman (age 96 years) with the very rare MSTN 153RR genotype compared to her age-matched referents with the 153KK genotype [19].
Although more research is needed, the putative effect of the K153R polymorphism on muscle phenotypes is due to its potential to alter the function of the MSTN gene [12]. Myostatin enters the bloodstream as a latent precursor protein; it then undergoes a proteolytic process to become a mature peptide (free from the propeptide) that binds to extracellular activin type II receptor (ActRIIB) [15]. Binding of myostatin to ActRIIB induces intracellular activation of SMAD proteins and, through the SMAD pathway, myostatin modulates myoblast proliferation [13] and differentiation [14], and thus ultimately muscle mass [15]. The Lys(K)153Arg(R) aminoacid replacement is found within the active mature peptide of the myostatin protein, and could theoretically influence (i) proteolytic processing with its propeptide or (ii) affinity to bind with ActRIIB [36], [37]. This in turn would result in inability of myostatin to modulate muscle mass/power [15].
In summary, the MSTN K153R polymorphism is associated with the ability to produce ‘peak’ power during muscle contractions, as assessed with vertical jump tests, in young non-athletic men. Thus, although more research is still needed, this polymorphism is among the numerous candidates to explain, alone or in combination with other polymorphisms, individual variations in muscle phenotypes.
Footnotes
Competing Interests: The authors have declared that no competing interests exist.
Funding: This study was funded by the Consejo Superior de Deportes (CSD, ref # UPR10/08), Fondo de Investigaciones Sanitarias (FIS, ref. # PS09/00194), and the Swedish Council for Working Life and Social Research (FAS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Huygens W, Thomis MA, Peeters MW, Aerssens J, Janssen R, et al. Linkage of myostatin pathway genes with knee strength in humans. Physiol Genomics. 2004;17:264–270. doi: 10.1152/physiolgenomics.00224.2003. [DOI] [PubMed] [Google Scholar]
- 2.McPherron AC, Lawler AM, Lee SJ. Regulation of skeletal muscle mass in mice by a new TGF-beta superfamily member. Nature. 1997;387:83–90. doi: 10.1038/387083a0. [DOI] [PubMed] [Google Scholar]
- 3.McPherron AC, Lee SJ. Double muscling in cattle due to mutations in the myostatin gene. Proc Natl Acad Sci U S A. 1997;94:12457–12461. doi: 10.1073/pnas.94.23.12457. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Grobet L, Martin LJ, Poncelet D, Pirottin D, Brouwers B, et al. A deletion in the bovine myostatin gene causes the double-muscled phenotype in cattle. Nat Genet. 1997;17:71–74. doi: 10.1038/ng0997-71. [DOI] [PubMed] [Google Scholar]
- 5.Mosher DS, Quignon P, Bustamante CD, Sutter NB, Mellersh CS, et al. A mutation in the myostatin gene increases muscle mass and enhances racing performance in heterozygote dogs. PLoS Genet. 2007;3:e79. doi: 10.1371/journal.pgen.0030079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hill EW, Gu J, Eivers SS, Fonseca RG, McGivney BA, et al. A sequence polymorphism in MSTN predicts sprinting ability and racing stamina in thoroughbred horses. PLoS One. 2010;5:e8645. doi: 10.1371/journal.pone.0008645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Siriett V, Platt L, Salerno MS, Ling N, Kambadur R, et al. Prolonged absence of myostatin reduces sarcopenia. J Cell Physiol. 2006;209:866–873. doi: 10.1002/jcp.20778. [DOI] [PubMed] [Google Scholar]
- 8.Mendias CL, Bakhurin KI, Faulkner JA. Tendons of myostatin-deficient mice are small, brittle, and hypocellular. Proc Natl Acad Sci U S A. 2008;105:388–393. doi: 10.1073/pnas.0707069105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Schuelke M, Wagner KR, Stolz LE, Hubner C, Riebel T, et al. Myostatin mutation associated with gross muscle hypertrophy in a child. N Engl J Med. 2004;350:2682–2688. doi: 10.1056/NEJMoa040933. [DOI] [PubMed] [Google Scholar]
- 10.Wagner KR, Fleckenstein JL, Amato AA, Barohn RJ, Bushby K, et al. A phase I/IItrial of MYO-029 in adult subjects with muscular dystrophy. Ann Neurol. 2008;63:561–571. doi: 10.1002/ana.21338. [DOI] [PubMed] [Google Scholar]
- 11.Fedoruk MN, Rupert JL. Myostatin inhibition: a potential performance enhancement strategy? Scand J Med Sci Sports. 2008;18:123–131. doi: 10.1111/j.1600-0838.2007.00759.x. [DOI] [PubMed] [Google Scholar]
- 12.Ferrell RE, Conte V, Lawrence EC, Roth SM, Hagberg JM, et al. Frequent sequence variation in the human myostatin (GDF8) gene as a marker for analysis of muscle-related phenotypes. Genomics. 1999;62:203–207. doi: 10.1006/geno.1999.5984. [DOI] [PubMed] [Google Scholar]
- 13.Thomas M, Langley B, Berry C, Sharma M, Kirk S, et al. Myostatin, a negative regulator of muscle growth, functions by inhibiting myoblast proliferation. J Biol Chem. 2000;275:40235–40243. doi: 10.1074/jbc.M004356200. [DOI] [PubMed] [Google Scholar]
- 14.Rios R, Carneiro I, Arce VM, Devesa J. Myostatin is an inhibitor of myogenic differentiation. Am J Physiol Cell Physiol. 2002;282:C993–999. doi: 10.1152/ajpcell.00372.2001. [DOI] [PubMed] [Google Scholar]
- 15.Kostek MA, Angelopoulos TJ, Clarkson PM, Gordon PM, Moyna NM, et al. Myostatin and follistatin polymorphisms interact with muscle phenotypes and ethnicity. Med Sci Sports Exerc. 2009;41:1063–1071. doi: 10.1249/MSS.0b013e3181930337. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Corsi AM, Ferrucci L, Gozzini A, Tanini A, Brandi ML. Myostatin polymorphisms and age-related sarcopenia in the Italian population. J Am Geriatr Soc. 2002;50:1463. doi: 10.1046/j.1532-5415.2002.50376.x. [DOI] [PubMed] [Google Scholar]
- 17.Ivey FM, Roth SM, Ferrell RE, Tracy BL, Lemmer JT, et al. Effects of age, gender, and myostatin genotype on the hypertrophic response to heavy resistance strength training. J Gerontol A Biol Sci Med Sci. 2000;55:M641–648. doi: 10.1093/gerona/55.11.m641. [DOI] [PubMed] [Google Scholar]
- 18.Seibert MJ, Xue QL, Fried LP, Walston JD. Polymorphic variation in the human myostatin (GDF-8) gene and association with strength measures in the Women's Health and Aging Study II cohort. J Am Geriatr Soc. 2001;49:1093–1096. doi: 10.1046/j.1532-5415.2001.49214.x. [DOI] [PubMed] [Google Scholar]
- 19.Gonzalez-Freire M, Rodriguez-Romo G, Santiago C, Bustamante-Ara N, Yvert T, et al. The K153R variant in the myostatin gene and sarcopenia at the end of the human lifespan. Age (Dordr) 2010;32:405–409. doi: 10.1007/s11357-010-9139-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Saunders MA, Good JM, Lawrence EC, Ferrell RE, Li WH, et al. Human adaptive evolution at Myostatin (GDF8), a regulator of muscle growth. Am J Hum Genet. 2006;79:1089–1097. doi: 10.1086/509707. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Santiago C, Rodriguez-Romo G, Gomez-Gallego F, Gonzalez-Freire M, Yvert T, et al. Is there an association between ACTN3 R577X polymorphism and muscle power phenotypes in young, non-athletic adults? Scand J Med Sci Sports. 2009 doi: 10.1111/j.1600-0838.2009.01017.x. [DOI] [PubMed] [Google Scholar]
- 22.Juffer P, Furrer R, Gonzalez-Freire M, Santiago C, Verde Z, et al. Genotype distributions in top-level soccer players: a role for ACE? Int J Sports Med. 2009;30:387–392. doi: 10.1055/s-0028-1105931. [DOI] [PubMed] [Google Scholar]
- 23.Young WB, MacDonald C, Flowers MA. Validity of double- and single-leg vertical jumps as tests of leg extensor muscle function. J Strength Cond Res. 2001;15:6–11. [PubMed] [Google Scholar]
- 24.Alcaraz PE, Palao JM, Elvira JL. Determining the optimal load for resisted sprint training with sled towing. J Strength Cond Res. 2009;23:480–485. doi: 10.1519/JSC.0b013e318198f92c. [DOI] [PubMed] [Google Scholar]
- 25.Nakagawa S, Cuthill IC. Effect size, confidence interval and statistical significance: a practical guide for biologists. Biol Rev Camb Philos Soc. 2007;82:591–605. doi: 10.1111/j.1469-185X.2007.00027.x. [DOI] [PubMed] [Google Scholar]
- 26.Holm S. A simple sequentially rejective multiple test procedure. Scand J Statist. 1979;6:65–70. [Google Scholar]
- 27.Yang N, MacArthur DG, Gulbin JP, Hahn AG, Beggs AH, et al. ACTN3 genotype is associated with human elite athletic performance. Am J Hum Genet. 2003;73:627–631. doi: 10.1086/377590. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Ashley CD, Weiss LW. Vertical jump performance and selected physiological characteristics of women. J Strength Cond Res. 1994;8:5–11. [Google Scholar]
- 29.Brown LE, Weir JP. ASEP procedures recommendation I: Accurate assessment of muscular strength JEPonline JEP online. 2001;4:1–21. [Google Scholar]
- 30.Thomis MA, Huygens W, Heuninckx S, Chagnon M, Maes HH, et al. Exploration of myostatin polymorphisms and the angiotensin-converting enzyme insertion/deletion genotype in responses of human muscle to strength training. Eur J Appl Physiol. 2004;92:267–274. doi: 10.1007/s00421-004-1093-6. [DOI] [PubMed] [Google Scholar]
- 31.Bosco C, Mognoni P, Luhtanen P. Relationship between isokinetic performance and ballistic movement. Eur J Appl Physiol Occup Physiol. 1983;51:357–364. doi: 10.1007/BF00429072. [DOI] [PubMed] [Google Scholar]
- 32.Perez-Gomez J, Rodriguez GV, Ara I, Olmedillas H, Chavarren J, et al. Role of muscle mass on sprint performance: gender differences? Eur J Appl Physiol. 2008;102:685–694. doi: 10.1007/s00421-007-0648-8. [DOI] [PubMed] [Google Scholar]
- 33.Ham DJ, Knez WL, Young WB. A deterministic model of the vertical jump: implications for training. J Strength Cond Res. 2007;21:967–972. doi: 10.1519/R-16764.1. [DOI] [PubMed] [Google Scholar]
- 34.Kubo K, Kawakami Y, Fukunaga T. Influence of elastic properties of tendon structures on jump performance in humans. J Appl Physiol. 1999;87:2090–2096. doi: 10.1152/jappl.1999.87.6.2090. [DOI] [PubMed] [Google Scholar]
- 35.Cavagna GA. Storage and utilization of elastic energy in skeletal muscle. Exerc Sport Sci Rev. 1977;5:89–129. [PubMed] [Google Scholar]
- 36.Lee SJ, McPherron AC. Regulation of myostatin activity and muscle growth. Proc Natl Acad Sci U S A. 2001;98:9306–9311. doi: 10.1073/pnas.151270098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Jiang MS, Liang LF, Wang S, Ratovitski T, Holmstrom J, et al. Characterization and identification of the inhibitory domain of GDF-8 propeptide. Biochem Biophys Res Commun. 2004;315:525–531. doi: 10.1016/j.bbrc.2004.01.085. [DOI] [PubMed] [Google Scholar]