Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:2.6.1.44 (AGT)
 770 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

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., approximately 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.
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PMID:Can we identify a power-oriented polygenic profile? 2004 71

In patients with cystic fibrosis (CF), physical capacity (PC) has been correlated with mortality risk. In turn, PC is dependent on genetic factors. This study examines several polymorphisms associated with PC and health-related phenotype traits (VO2peak, FEV1, FVC, PImax and muscular strength) in a group of children with CF (n = 66, primary purpose). The same analyses were also performed in a control group of healthy children (n = 113, secondary purpose). The polymorphisms determined were classified as muscle function polymorphisms (ACE rs1799752; AGT rs699; ACTN3 rs1815739; PTK2 rs7843014 and rs7460; MSTN rs1805086; TRHR rs7832552; NOS3 rs2070744) or energy metabolism polymorphisms (PPARGC1A rs8192678; NRF1 rs6949152; NRF2 rs12594956; TFAM rs1937; PPARD rs2267668; ACSL1 rs6552828). No significant polymorphism/phenotype correlations were detected in children with CF, with marginal associations being observed between NOS3 rs2070744 and VO2peak and FEV1, as well as between PPARGC1A rs8192678 and FEV1. Overall, similar findings were observed in the control group, i.e., no major associations. The PC-related polymorphisms examined seem to have no effects on the PC or health of children with CF.
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PMID:Physical-capacity-related genetic polymorphisms in children with cystic fibrosis. 2505 Dec 5