先前与降低软组织损伤风险相关的基因变异:第2部分-与橄榄球精英地位的多基因关联。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Jon Brazier, Mark R Antrobus, Adam J Herbert, Peter C Callus, Praval Khanal, Georgina K Stebbings, Stephen H Day, Shane M Heffernan, Liam P Kilduff, Mark A Bennett, Robert M Erskine, Stuart M Raleigh, Malcolm Collins, Yannis P Pitsiladis, Alun G Williams
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引用次数: 2

摘要

本遗传关联系列的第1部分重点介绍了与橄榄球精英地位独立相关的几种遗传变异。然而,由于多个基因的相互作用,精英地位的遗传影响很可能是多基因的。因此,本研究的目的是利用先前与肌腱/韧带损伤相关的13种遗传多态性,调查优秀橄榄球运动员的多基因谱是否与非运动员不同。计算总基因型评分(TGS),采用多因子降维法(MDR)计算SNP-SNP上位相互作用。根据第1部分的精英橄榄球数据,精英橄榄球运动员的平均TGS(52.1±10.7)显著高于非运动员(48.7±10.8)。与非运动员(分别为31%和69%)相比,TGS高四分位数的精英橄榄球运动员更多(54%),低四分位数的精英橄榄球运动员更少(46%);P = 5·10-5),TGS能够区分优秀橄榄球运动员和非运动员(曲线下面积= 0.59;95%置信区间0.55-0.63;p = 9·10-7)。此外,MDR发现COL5A1 rs12722、COL5A1 rs3196378和MIR608 rs4919510的三snp模型最能预测优秀运动员的状态,在优秀橄榄球运动员中,CC-CC-CC基因型组合的频率(9.8%)高于非运动员(5.3%)。我们认为,优秀的橄榄球运动员拥有“更好的”肌肉骨骼软组织损伤相关的多基因特征,这有助于他们在橄榄球的高损伤风险环境中取得成功。这些数据可能,在未来,对肌肉骨骼软组织损伤的个体管理有启示。就先前与肌肉骨骼软组织损伤相关的遗传变异而言,精英橄榄球运动员比非运动员具有更好的多基因特征。总基因型得分能够区分优秀橄榄球运动员和非运动员。COL5A1 rs12722、COL5A1 rs3196378和MIR608 rs4919510是预测优秀运动员状态的最佳模型。我们认为,优秀的橄榄球运动员可能具有遗传优势,因为他们对软组织损伤的抵抗力增强了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gene variants previously associated with reduced soft-tissue injury risk: Part 2 - Polygenic associations with elite status in Rugby.

Part 1 of this genetic association series highlighted several genetic variants independently associated with elite status in rugby. However, it is highly likely that the genetic influence on elite status is polygenic due to the interaction of multiple genes. Therefore, the aim of the present study was to investigate whether polygenic profiles of elite rugby athletes differed from non-athletes utilising 13 genetic polymorphisms previously associated with tendon/ligament injury. Total genotype score (TGS) was calculated and multifactor dimensionality reduction (MDR) was used to calculate SNP-SNP epistasis interactions. Based on our elite rugby data from Part 1, mean TGS was significantly higher in elite rugby athletes (52.1 ± 10.7) than non-athletes (48.7 ± 10.8). There were more elite rugby athletes (54%) within the upper TGS quartile, and fewer (46%) within the lower quartile, compared to non-athletes (31% and 69%, respectively; P = 5·10-5), and the TGS was able to distinguish between elite rugby athletes and non-athletes (area under the curve = 0.59; 95% confidence interval 0.55-0.63; P = 9·10-7). Furthermore, MDR identified a three-SNP model of COL5A1 rs12722, COL5A1 rs3196378 and MIR608 rs4919510 that was best able to predict elite athlete status, with a greater frequency of the CC-CC-CC genotype combination in elite rugby athletes (9.8%) than non-athletes (5.3%). We propose that elite rugby athletes possess "preferable" musculoskeletal soft-tissue injury-associated polygenic profiles that have helped them achieve success in the high injury risk environment of rugby. These data may, in future, have implications for the individual management of musculoskeletal soft-tissue injury.HighlightsElite rugby athletes have preferable polygenic profiles to non-athletes in terms of genetic variants previously associated with musculoskeletal soft-tissue injury.The total genotype score was able to distinguish between elite rugby athletes and non-athletes.COL5A1 rs12722, COL5A1 rs3196378 and MIR608 rs4919510 produced the best model for predicting elite athlete status.We propose that elite rugby athletes may have an inherited advantage to achieving elite status due to an increased resistance to soft-tissue injury.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
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2.10%
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464
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