Key result
A weightlifting-related total genotype score based on six polymorphisms was significantly higher in elite weightlifters compared to controls, but was not associated with weightlifting performance or applicable to other power athletes.
Why the study?
This study aimed to investigate the relationship between power-oriented genetic polymorphisms and weightlifting status, create a total genotype score, and validate its association with power-oriented athletes.
Is the total genotype score associated with athletic performance in weightlifters and power-oriented athletes?
Case-Control (n=785)
Is the total genotype score associated with athletic performance in weightlifters and power-oriented athletes?
A weightlifting-related genotype score model differentiated weightlifters from controls but did not correlate with actual weightlifting performance or apply to other power athletes.
This is the authors' abstract. We don't add key points for this paper.
This study aimed to investigate the relationship between power-oriented genetic polymorphisms and weightlifting status, create a total genotype score (TGS), and validate the association between TGS models and power-oriented athletes. First, 192 weightlifters and 416 controls were studied, and 12 polymorphisms that have previously been associated with strength, power status, and phenotype were genotyped using the TaqMan SNP genotyping assay. We calculated the TGS for the 12 polymorphisms using a PWM (power-oriented whole model) and for 6 of them using a WRM (weightlifting-related model) based on a case-control study. Second, the TGS of the WRM was compared for 177 strength and power athletes and 416 controls. There was no significant difference in the PWM score between weightlifters and the controls. Weightlifters and elite weightlifters had higher WRM scores than the controls. However, the WRM score had no association with weightlifting performance. There was no significant difference in the WRM between power-oriented athletes and the controls. Our study was able to create a TGS model for weightlifters based on case-control results. However, the TGS model could not be applied to other power-oriented athletes.
Answers are grounded in this paper and cite their sources.
Genotype scores distinguish weightlifters from controls without predicting performance; leaves open utility for power-athlete selection.
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Homma et al. (2022) conducted a case-control in Athletic performance and status (n=785). Weightlifting-related model (WRM) Total Genotype Score vs. Non-athlete controls was evaluated on Proportion of participants with WRM score ≥ 50.0 (p=0.02). A weightlifting-related total genotype score based on six polymorphisms was significantly higher in elite weightlifters compared to controls, but was not associated with weightlifting performance or applicable to other power athletes.
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