Athletic performance is influenced by many factors such as the environment, diet, training and endurance or speed in physical effort and by genetic predisposition. Just a few studies have analyzed the impact of genotypes on physical performance in rugby. The aim of this study was to verify the modulation of genetic influence on rugby-specific physical performance. Twenty-seven elite rugby union players were involved in the study during the in-season phase. Molecular genotyping was performed for: angiotensin-converting enzyme ( rs4646994), alfa-actinin-3 ( rs1815739) and monocarboxylate transporter 1 ( rs1049434) and their variants. Lean mass index (from skinfolds), lower-limb explosive power (countermovement jump), agility (505), speed (20 m), maximal aerobic power (Yo-yo intermittent recovery test level 1) and repeated sprint ability (12 × 20 m) were evaluated. In our rugby union players and variants did not show any influence on athletic performance. analysis showed that TT-variant players had the highest peak vertical power ( = 0.037) while the ones with the AA genotype were the fastest in both agility and sprint tests ( = 0.006 and = 0.012, respectively). Considering the T-dominant model, the AA genotype remains the fastest in both tests (agility: = 0.013, speed: = 0.017). Only the rs1049434 A allele seems to be advantageous for elite rugby union players, particularly when power and speed are required.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222624PMC
http://dx.doi.org/10.3390/genes13060969DOI Listing

Publication Analysis

Top Keywords

rugby union
16
union players
16
athletic performance
12
elite rugby
12
physical performance
8
performance
5
rugby
5
players
5
relationship genetic
4
genetic polymorphisms
4

Similar Publications

Outlier detection is critical in statistical analysis and predictive modelling, but it is often overlooked in research, leading to potentially inaccurate conclusions. This study aimed to (1) assess the prevalence of outlier detection strategies in sport science publications, (2) examine the effect of outliers on statistical inference using general linear mixed-effects models with longitudinal data, and (3) evaluate the impact of outliers on regression predictive models using the same dataset. A systematic literature search of 4,622 articles published in 2023 in Q1 journals in "sport science" category found that only 9.

View Article and Find Full Text PDF

Objectives: To cross-sectionally determine 1) the association between lifetime diagnosed concussion and upper extremity musculoskeletal injury (UE-MSI) amongst a novel cohort of community rugby union players and 2) the sex specific risk of UE-MSI given concussion history among these rugby players.

Methods: 1,037 (31.0% female, 31.

View Article and Find Full Text PDF

Objectives: To evaluate if the tackler correctly adhering, or not, to four different instructions of legal front-on one-on-one torso tackles altered the tackler and/or ball carrier peak inertial head kinematics.

Design: Controlled laboratory study.

Methods: Fifteen rugby-code players measured with three-dimensional optoelectronic motion capture performed two tackle instructions from the Australian National Rugby League coaching manual on under (Dominant National Rugby League) and over (Smother National Rugby League) the ball tackles, and two novel variants of these (under, Dominant, Torso Stick; over, Smother, Pop, Lock).

View Article and Find Full Text PDF

Objectives: Concussion is a common injury in rugby union ('rugby') and yet its diagnosis is reliant on clinical judgment. Oculomotor testing could provide an objective measure to assist with concussion diagnosis. NeuroFlex® evaluates oculomotor function using a virtual-reality headset.

View Article and Find Full Text PDF

This study first investigated how the probability of winning collision events is affected by technical characteristics among world-class, international female rugby union players, and second, whether enhanced performance of these technical characteristics was related to physical attributes. Carry and tackle events from 16 international matches played by a top-two world ranking team were coded according to technical characteristics and performance outcomes. Binary classification tree models revealed that carry performance was successfully predicted ( < 0.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!