Genomics of elite sporting performance: what little we know and necessary advances

[img]
Preview
Pitsiladis et al BJSM final VUIR .pdf - Accepted Version (328kB) | Preview

Pitsiladis, Yannis, Wang, Guan, Wolfarth, Bernd, Scott, Robert, Fuku, Noriyuki, Mikami, Eri, He, Zihong, Fiuza-Luces, Carmen, Eynon, Nir ORCID: 0000-0003-4046-8276 and Lucia, Alejandro (2013) Genomics of elite sporting performance: what little we know and necessary advances. British Journal of Sports Medicine, 47 (9). pp. 550-555. ISSN 0306-3674 (print) 1473-0480 (online)

Abstract

Numerous reports of genetic associations with performance-related phenotypes have been published over the past three decades but there has been limited progress in discovering and characterising the genetic contribution to elite/world-class performance, mainly owing to few coordinated research efforts involving major funding initiatives/consortia and the use primarily of the candidate gene analysis approach. It is timely that exercise genomics research has moved into a new era utilising well-phenotyped, large cohorts and genomewide technologies—approaches that have begun to elucidate the genetic basis of other complex traits/ diseases. This review summarises the most recent and significant findings from sports genetics and explores future trends and possibilities. Correction to this article published in British Journal of Sports Medicine Vol 47 p.656 doi:10.1136/bjsports-2013-092400corr1

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/23821
DOI https://doi.org/10.1136/bjsports-2013-092400
Subjects Historical > FOR Classification > 0601 Biochemistry and Cell Biology
Historical > FOR Classification > 1106 Human Movement and Sports Science
Historical > Faculty/School/Research Centre/Department > Institute of Sport, Exercise and Active Living (ISEAL)
Keywords single nucleotide polymorphism, SNP, monozygotic twins, dizygotic twins, MZ twins, DZ twins, VO2 max, gene discovery techniques, genetic studies
Citations in Scopus 67 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login