Can we predict top-level sports performance in power vs endurance events? A genetic approach

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dc.contributor.author Buxens, Amaya spa
dc.contributor.author Ruiz, Jonatan R. spa
dc.contributor.author Arteta, David spa
dc.contributor.author Artieda, Marta spa
dc.contributor.author Santiago Dorrego, Catalina spa
dc.contributor.author González-Freire, Marta spa
dc.contributor.author Martínez, A. spa
dc.contributor.author Tejedor, Diego spa
dc.contributor.author Lao, José I. spa
dc.contributor.author Gómez Gallego, Félix spa
dc.contributor.author Lucía Mulas, Alejandro spa
dc.date.accessioned 2013-11-27T17:25:40Z
dc.date.available 2013-11-27T17:25:40Z
dc.date.issued 2011 spa
dc.identifier.citation Buxens, A., Ruiz, J. R., Arteta, D., Artieda, M., Santiago-Dorrego, C., González‐Freire, M., ..., & LucíaMulas, A. (2011). Can we predict top‐level sports performance in power vs endurance events? A genetic approach. Scandinavian Journal of Medicine & Science in Sports, 21(4), 570-579. spa
dc.identifier.issn 09057188 spa
dc.identifier.uri http://hdl.handle.net/11268/121
dc.description.abstract The goal of our study was to discriminate potential genetic differences between humans who are in both endpoints of the sports performance continuum (i.e. world-class endurance vs power athletes). We used DNA-microarray technology that included 36 genetic variants (within 20 different genes) to compare the genetic profile obtained in two cohorts of world-class endurance (N=100) and power male athletes (N=53) of the same ethnic origin. Stepwise multivariate logistic regression showed that the rs1800795 (IL6-174 G/C), rs1208 (NAT2 K268R) and rs2070744 (NOS3-786 T/C) polymorphisms significantly predicted sport performance (model χ(2) =25.3, df=3, P-value <0.001). Receiver-operating characteristic (ROC) curve analysis showed a significant discriminating accuracy of the model, with an area under the ROC curve of 0.72 (95% confidence interval: 0.66-0.81). The contribution of the studied genetic factors to sports performance was 21.4%. In summary, although an individual's potential for excelling in endurance or power sports can be partly predicted based on specific genetic variants (many of which remain to be identified), the contribution of complex gene-gene interactions, environmental factors and epigenetic mechanisms are also important contributors to the "complex trait" of being an athletic champion. Such trait is likely not reducible to defined genetic polymorphisms. spa
dc.language.iso eng spa
dc.title Can we predict top-level sports performance in power vs endurance events? A genetic approach spa
dc.type article spa
dc.description.impact 2.867 JCR (2011) Q1, 10/85 Sport Sciences spa
dc.identifier.doi 10.1111/j.1600-0838.2009.01079.x spa
dc.rights.accessRights closedAccess en
dc.subject.unesco Genética humana spa
dc.description.filiation UEM spa
dc.peerreviewed Si spa

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