Literature DB >> 15705733

PPARGC1A genotype (Gly482Ser) predicts exceptional endurance capacity in European men.

Alejandro Lucia1, Félix Gómez-Gallego, Inês Barroso, Manuel Rabadán, Fernando Bandrés, Alejandro F San Juan, José L Chicharro, Ulf Ekelund, Soren Brage, Conrad P Earnest, Nicholas J Wareham, Paul W Franks.   

Abstract

Animal and human data indicate a role for the peroxisome proliferator-activated receptor-gamma coactivator 1alpha (PPARGC1A) gene product in the development of maximal oxygen uptake (V(O2 max)), a determinant of endurance capacity, diabetes, and early death. We tested the hypothesis that the frequency of the minor Ser482 allele at the PPARGC1A locus is lower in World-class Spanish male endurance athletes (cases) [n = 104; mean (SD) age: 26.8 (3.8) yr] than in unfit United Kingdom (UK) Caucasian male controls [n = 100; mean (SD) age: 49.3 (8.1) yr]. In cases and controls, the Gly482Ser genotype met Hardy-Weinberg expectations (P > 0.05 in both groups tested separately). Cases had significantly higher V(O2 max) [73.4 (5.7) vs. 29.4 ml x kg(-1) x min(-1) (3.8); P < 0.0001] and were leaner [body mass index: 20.6 (1.5) vs. 27.6 kg/m2 (3.9); P < 0.0001] than controls. In unadjusted chi2 analyses, the frequency of the minor Ser482 allele was significantly lower in cases than in controls (29.1 vs. 40.0%; P = 0.01). To assess the possibility that genetic stratification could confound these observations, we also compared Gly482Ser genotype frequencies in Spanish (n = 164) and UK Caucasian men (n = 381) who were unselected for their level of fitness. In these analyses, Ser482 allele frequencies were very similar (36.9% in Spanish vs. 37.5% in UK Caucasians, P = 0.83), suggesting that confounding by genetic stratification is unlikely to explain the association between Gly482Ser genotype and endurance capacity. In summary, our data indicate a role for the Gly482Ser genotype in determining aerobic fitness. This finding has relevance from the perspective of physical performance, but it may also be informative for the targeted prevention of diseases associated with low fitness such as Type 2 diabetes.

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Year:  2005        PMID: 15705733     DOI: 10.1152/japplphysiol.00037.2005

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  38 in total

1.  Meta-analysis of the Gly482Ser variant in PPARGC1A in type 2 diabetes and related phenotypes.

Authors:  I Barroso; J Luan; M S Sandhu; P W Franks; V Crowley; A J Schafer; S O'Rahilly; N J Wareham
Journal:  Diabetologia       Date:  2006-01-25       Impact factor: 10.122

2.  Association between the PPARa and PPARGCA gene variations and physical performance in non-trained male adolescents.

Authors:  Farzad Zehsaz; Hamed Abbasi Soltani; Roya Hazrati; Negin Farhangi; Amir Monfaredan; Mehri Ghahramani
Journal:  Mol Biol Rep       Date:  2018-10-15       Impact factor: 2.316

3.  PPAR-α and PPARGC1A gene variants have strong effects on aerobic performance of Turkish elite endurance athletes.

Authors:  Ercan Tural; Nurten Kara; Seydi Ahmet Agaoglu; Mehmet Elbistan; Mehmet Yalcin Tasmektepligil; Osman Imamoglu
Journal:  Mol Biol Rep       Date:  2014-07-05       Impact factor: 2.316

4.  ACE I/D, ACTN3 R577X, PPARD T294C and PPARGC1A Gly482Ser polymorphisms and physical fitness in Taiwanese late adolescent girls.

Authors:  Li-Ling Chiu; Tzu-Wen Chen; Sandy S Hsieh; Ling-Ling Hsieh
Journal:  J Physiol Sci       Date:  2012-01-14       Impact factor: 2.781

5.  Common variation at PPARGC1A/B and change in body composition and metabolic traits following preventive interventions: the Diabetes Prevention Program.

Authors:  Paul W Franks; Costas A Christophi; Kathleen A Jablonski; Liana K Billings; Linda M Delahanty; Edward S Horton; William C Knowler; Jose C Florez
Journal:  Diabetologia       Date:  2013-12-07       Impact factor: 10.122

6.  Is there an optimum endurance polygenic profile?

Authors:  Jonatan R Ruiz; Félix Gómez-Gallego; Catalina Santiago; Marta González-Freire; Zoraida Verde; Carl Foster; Alejandro Lucia
Journal:  J Physiol       Date:  2009-02-23       Impact factor: 5.182

7.  PPARGC1A sequence variation and cardiovascular risk-factor levels: a study of the main genetic effects and gene x environment interactions in children from the European Youth Heart Study.

Authors:  E C Brito; K S Vimaleswaran; S Brage; L B Andersen; L B Sardinha; N J Wareham; U Ekelund; R J F Loos; P W Franks
Journal:  Diabetologia       Date:  2009-01-29       Impact factor: 10.122

8.  The combined impact of metabolic gene polymorphisms on elite endurance athlete status and related phenotypes.

Authors:  Ildus I Ahmetov; Alun G Williams; Daniil V Popov; Ekaterina V Lyubaeva; Albina M Hakimullina; Olga N Fedotovskaya; Irina A Mozhayskaya; Olga L Vinogradova; Irina V Astratenkova; Hugh E Montgomery; Viktor A Rogozkin
Journal:  Hum Genet       Date:  2009-12       Impact factor: 4.132

9.  Genetic test for the personalization of sport training.

Authors:  Zakira Naureen; Marco Perrone; Stefano Paolacci; Paolo Enrico Maltese; Kristjana Dhuli; Danjela Kurti; Astrit Dautaj; Roberta Miotto; Arianna Casadei; Bernard Fioretti; Tommaso Beccari; Francesco Romeo; Matteo Bertelli
Journal:  Acta Biomed       Date:  2020-11-09

10.  Similarity of polygenic profiles limits the potential for elite human physical performance.

Authors:  Alun G Williams; Jonathan P Folland
Journal:  J Physiol       Date:  2007-09-27       Impact factor: 5.182

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