Lack of association between ACE gene insertion/deletion polymorphism and elite artistic gymnastic performance of Italian gymnasts

Genetic polymorphisms related to muscular strength and flexibility are associated with artistic gymnastic performance in the Japanese population

This study aimed to examine how genetic polymorphisms related to muscular strength and flexibility influence artistic gymnastic performance in an attempt to identify a novel polymorphism associated with flexibility. In study 1, the passive straight-leg-raise (PSLR) score and aromatase gene CYP19A1 rs936306 polymorphism, a key enzyme for estrogen biosynthesis, were assessed in 278 individuals. In study 2, athletes (281 gymnasts and 1908 other athletes) were asked about their competition level, and gymnasts were assessed using the difficulty score (D-score) for each event. Muscular strength- (ACTN3 R577X rs1815739 and ACE I/D rs4341) and flexibility-related (ESR1 rs2234693 T/C and CYP19A1 rs936306 C/T) genetic polymorphisms were analyzed. In study 1, males with the CYP19A1 CT + TT genotype showed significantly higher PSLR scores than those with the CC genotype. In study 2, male gymnasts with the R allele of ACTN3 R577X showed a correlation with the floor, rings, vault, and total D-scores. In addition, male gymnasts with the C allele of ESR1 T/C and T allele of CYP19A1 C/T polymorphisms were correlated with the pommel horse, parallel bars, horizontal bar, and total D-scores. Furthermore, genotype scores of these three polymorphisms correlated with the total D-scores and competition levels in male gymnasts. In contrast, no such associations were observed in female gymnasts. Our findings suggest that muscular strength- and flexibility-related polymorphisms play important roles in achieving high performance in male artistic gymnastics by specifically influencing the performance of events that require muscular strength and flexibility, respectively. HighlightsEstrogen-related CYP19A1 polymorphism is a novel determinant of flexibility in males.Muscular strength- and flexibility-related polymorphisms play important roles in high performance in male artistic gymnastics.Genotypes of ACTN3 R577X, ESR1 rs2234693, and CYP19A1 rs936306 may contribute to training plan optimization and event selection in artistic gymnastics.

Angiotensin-converting enzyme (ACE-I/D) polymorphism frequency in Brazilian soccer players

This study aimed to analyze the angiotensin-converting enzyme (ACE-I/D) allelic and genotypic frequencies in Brazilian soccer players of different ages. The study group comprised 353 players from first-division clubs in the under (U)-14, U-15, U-17, U-20, and professional categories. The allelic and genotypic frequencies did not differ significantly in any of the categories between the group of players and the control group. This was the first study of ACE-I/D polymorphism in Brazilian soccer players.

Distribution of performance-related gene polymorphisms (ACTN3 R577X and ACE ID) in different ethnic groups of the Indian Army

BACKGROUND

India has a heterogeneous geographical location with varying ethnic groups with distinct genetic pools. Polymorphisms R577X and insertion/deletion (I/D), occurring in α-actinin3 (ACTN3) and angiotensin converting enzyme (ACE) genes, respectively, are reportedly associated with sprint and endurance performance. The normative genetic background of a population provides the baseline genetic diversity of the population.

METHODS

We investigated the distribution of R577X and I/D polymorphisms in four Indian ethnic populations employed in the Indian Army that requires high levels of physical fitness. A total of 598 army subjects with four different ethnicities were recruited for the study: Rajputs, South Indians, Gorkhas, and Ladakhis. Genotyping was performed using polymerase chain reaction-restriction fragment length polymorphism followed by statistical analysis.

RESULTS

The present study reports for the first time the genotypic distribution of ACTN3 R577X polymorphism in four ethnic groups of the Indian population with no significant change in distribution of R and X alleles among these groups and their overall percentage bearing similarity with the Caucasian population. ACE I/D polymorphism showed significant differences between Rajputs and Gorkhas, Rajputs and Ladakhis, Gorkhas and South Indians, and South Indians and Ladakhis. Combined genotypic analysis showed the highest frequencies of ID+RX in all ethnic groups.

CONCLUSIONS

Our study reports the genetic predominance of ACE I allele in Gorkhas and I allele predominance in Ladakhis for the first time, thus suggesting that they could be better endurance performers. Both these ethnic groups evolved from the Mongolian race and hence could have similar genotypic distribution. This study provides a comparative account of the Indian normative genetic data in performance-related genes.

New genetic model for predicting phenotype traits in sports

PURPOSE

The aim of the current study was to construct a genetic model with a new algorithm for predicting athletic-performance variability based on genetic variations.

METHODS

The influence of 6 polymorphisms (ACE, ACTN-3, BDKRB2, VDR-ApaI, VDR-BsmI, and VDR-FokI) on vertical jump was studied in top-level male Italian soccer players (n = 90). First, the authors calculated the traditional total genotype score and then determined the total weighting genotype score (TWGS), which accounts for the proportion of significant phenotypic variance predicted by the polymorphisms. Genomic DNA was extracted from saliva samples using a standard protocol. Genotyping was performed using polymerase chain reaction (PCR).

RESULTS

The results obtained from the new genetic model (TWGS) showed that only 3 polymorphisms entered the regression equation (ACTN-3, ACE, and BDKRB2), and these polymorphisms explained 17.68-24.24% of the vertical-jump variance. With the weighting given to each polymorphism, it may be possible to identify a polygenic profile that more accurately explains, at least in part, the individual variance of athletic-performance traits.

CONCLUSIONS

This model may be used to create individualized training programs based on a player's genetic predispositions, as well as to identify athletes who need an adapted training routine to account for individual susceptibility to injury.