Literature DB >> 21867446

Genetics of muscle strength and power: polygenic profile similarity limits skeletal muscle performance.

David C Hughes1, Stephen H Day, Ildus I Ahmetov, Alun G Williams.   

Abstract

Environmental and genetic factors influence muscle function, resulting in large variations in phenotype between individuals. Multiple genetic variants (polygenic in nature) are thought to influence exercise-related phenotypes, yet how the relevant polymorphisms combine to influence muscular strength in individuals and populations is unclear. In this analysis, 22 genetic polymorphisms were identified in the literature that have been associated with muscular strength and power phenotypes. Using typical genotype frequencies, the probability of any given individual possessing an "optimal" polygenic profile was calculated as 0.0003% for the world population. Future identification of additional polymorphisms associated with muscular strength phenotypes would most likely reduce that probability even further. To examine the genetic potential for muscular strength within a human population, a "total genotype score" was generated for each individual within a hypothetical population of one million. The population expressed high similarity in polygenic profile with no individual differing by more than seven genotypes from a typical profile. Therefore, skeletal muscle strength potential within humans appears to be limited by polygenic profile similarity. Future research should aim to replicate more genotype-phenotype associations for muscular strength, because only five common genetic polymorphisms identified to date have positive replicated findings.

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Year:  2011        PMID: 21867446     DOI: 10.1080/02640414.2011.597773

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  21 in total

Review 1.  Adaptations to Endurance and Strength Training.

Authors:  David C Hughes; Stian Ellefsen; Keith Baar
Journal:  Cold Spring Harb Perspect Med       Date:  2018-06-01       Impact factor: 6.915

Review 2.  Advances in exercise, fitness, and performance genomics in 2011.

Authors:  Stephen M Roth; Tuomo Rankinen; James M Hagberg; Ruth J F Loos; Louis Pérusse; Mark A Sarzynski; Bernd Wolfarth; Claude Bouchard
Journal:  Med Sci Sports Exerc       Date:  2012-05       Impact factor: 5.411

3.  The association of ACE, ACTN3 and PPARA gene variants with strength phenotypes in middle school-age children.

Authors:  Ildus I Ahmetov; Dmitry N Gavrilov; Irina V Astratenkova; Anastasiya M Druzhevskaya; Alexandr V Malinin; Elena E Romanova; Victor A Rogozkin
Journal:  J Physiol Sci       Date:  2012-09-16       Impact factor: 2.781

4.  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

5.  Genome-wide association study identifies three novel genetic markers associated with elite endurance performance.

Authors:  Ii Ahmetov; Na Kulemin; Dv Popov; Va Naumov; Eb Akimov; Yr Bravy; Es Egorova; Aa Galeeva; Ev Generozov; Es Kostryukova; Ak Larin; Lj Mustafina; Ea Ospanova; Av Pavlenko; Lm Starnes; P Żmijewski; Dg Alexeev; Ol Vinogradova; Vm Govorun
Journal:  Biol Sport       Date:  2014-10-21       Impact factor: 2.806

6.  A genetic-based algorithm for personalized resistance training.

Authors:  N Jones; J Kiely; B Suraci; D J Collins; D de Lorenzo; C Pickering; K A Grimaldi
Journal:  Biol Sport       Date:  2016-04-01       Impact factor: 2.806

7.  Association analysis of ACE, ACTN3 and PPARGC1A gene polymorphisms in two cohorts of European strength and power athletes.

Authors:  V Gineviciene; A Jakaitiene; M O Aksenov; A V Aksenova; A M Druzhevskaya; I V Astratenkova; E S Egorova; L J Gabdrakhmanova; L Tubelis; V Kucinskas; A Utkus
Journal:  Biol Sport       Date:  2016-05-03       Impact factor: 2.806

8.  The association of gene polymorphisms with athlete status in ukrainians.

Authors:  S B Drozdovska; V E Dosenko; I I Ahmetov; V N Ilyin
Journal:  Biol Sport       Date:  2013-07-22       Impact factor: 2.806

9.  Actn3 genotype is associated with testosterone levels of athletes.

Authors:  I I Ahmetov; A E Donnikov; D Y Trofimov
Journal:  Biol Sport       Date:  2014-04-05       Impact factor: 2.806

10.  ACTN3 R577X and ACE I/D gene variants influence performance in elite sprinters: a multi-cohort study.

Authors:  Ioannis D Papadimitriou; Alejandro Lucia; Yannis P Pitsiladis; Vladimir P Pushkarev; Dmitry A Dyatlov; Evgeniy F Orekhov; Guilherme G Artioli; João Paulo L F Guilherme; Antonio H Lancha; Valentina Ginevičienė; Pawel Cieszczyk; Agnieszka Maciejewska-Karlowska; Marek Sawczuk; Carlos A Muniesa; Anastasia Kouvatsi; Myosotis Massidda; Carla Maria Calò; Fleur Garton; Peter J Houweling; Guan Wang; Krista Austin; Anastasiya M Druzhevskaya; Irina V Astratenkova; Ildus I Ahmetov; David J Bishop; Kathryn N North; Nir Eynon
Journal:  BMC Genomics       Date:  2016-04-13       Impact factor: 3.969

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