Can we identify a power-oriented polygenic profile?
Can we identify a power-oriented polygenic profile?
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DOI：
10.1152/japplphysiol.01242.2009
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发表时间：
2010-03-01
影响因子：
3.3
通讯作者：
Lucia, Alejandro
中科院分区：
文献类型：
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作者：
Ruiz, Jonatan R.;Arteta, David;Lucia, Alejandro
Ruiz JR、Arteta D、Buxens A、Artieda M、Gomez-Gallego F、Santiago C、Yvert T、Moron M、Lucia A。我们能否识别以权力为导向的多基因谱？ J Appl Physiol 108: 561-566, 2010。首次发表于 2009 年 12 月 31 日； doi:10.1152/japplphyol.01242.2009.-使用最初由 Williams 和 Folland 开发的模型（J Physiol 586: 113-121, 2008），我们确定了 1）“总基因型得分”（TGS，来自 6 个多态性的累积组合，理论上最佳多基因的最大值为“100”）得分）在一组精英力量运动员、耐力运动员和非运动对照中，2）具有“完美”力量导向型特征（即 TGS = 100）的西班牙个体出现的概率。我们分析了 6 种多态性，这些多态性可以解释 53 名田径精英运动员（跳远运动员、短跑运动员）、100 名非运动对照和100 名精英耐力运动员（长跑运动员和公路自行车运动员）（均为西班牙白人男性）。与耐力运动员（60.4 +/- 15.9；P < 0.001）和对照组（63.3 +/- 13.2；P = 0.012）相比，力量型运动员的平均 TGS（70.8 +/- 17.3）显着较高，而后两组之间没有差异（P = 0.366）。总共 5 名力量型运动员（9.4%，均为短跑运动员）理论上“最佳”TGS 为 100，而其他两组受试者为 0。西班牙个体拥有我们研究的最多 6 个候选多态性的理论上最佳多基因谱的概率非常小，即类似于 0.2%（或 500 个西班牙个体中就有 1 个）。我们已经确定了多基因特征，使我们至少能够部分地将精英力量运动员与耐力运动员和非运动人群区分开来。
Ruiz JR, Arteta D, Buxens A, Artieda M, Gomez-Gallego F, Santiago C, Yvert T, Moron M, Lucia A. Can we identify a power-oriented polygenic profile? J Appl Physiol 108: 561-566, 2010. First published December 31, 2009; doi:10.1152/japplphysiol.01242.2009.-Using the model originally developed by Williams and Folland (J Physiol 586: 113-121, 2008), we determined 1) a "total genotype score" (TGS, from the accumulated combination of the 6 polymorphisms, with a maximum value of "100" for the theoretically optimal polygenic score) in a group of elite power athletes, endurance athletes, and nonathletic controls, and 2) the probability for the occurrence of Spanish individuals with the "perfect" power-oriented profile (i.e., TGS = 100). We analyzed six polymorphism that are candidates to explain individual variations in elite power athletic status or power phenotypes (ACE I/D, ACTN3 R577X, AGT Met235Thr, GDF-8 K153R, IL6 - 174 G/C, and NOS3 - 786T > C) in 53 elite track and field power athletes (jumpers, sprinters), 100 nonathletic controls, and 100 elite endurance athletes (distance runners and road cyclists) (all Spanish Caucasian males). The mean TGS was significantly higher in power athletes (70.8 +/- 17.3) compared with endurance athletes (60.4 +/- 15.9; P < 0.001) and controls (63.3 +/- 13.2; P = 0.012), whereas it did not differ between the latter two groups (P = 0.366). A total of five power athletes (9.4%, all sprinters) had a theoretically "optimal" TGS of 100 vs. 0 subjects in the other two groups. The probability of a Spanish individual possessing a theoretically optimal polygenic profile for up to the six candidate polymorphisms we studied was very small, i.e., similar to 0.2% (or 1 in 500 Spanish individuals). We have identified a polygenic profile that allows us, at least partly, to distinguish elite power athletes from both endurance athletes and nonathletic population.