Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/23578
Appears in Collections:Faculty of Health Sciences and Sport Journal Articles
Peer Review Status: Refereed
Title: Athlome Project Consortium: a concerted effort to discover genomic and other "OMIC" markers of athletic performance
Authors: Pitsiladis, Yannis
Tanaka, Masashi
Eynon, Nir
Bouchard, Claude
North, Kathryn
Williams, Alun
Collins, Malcolm R
Moran, Colin Neil
Britton, Steven L
Fuku, Noriyuki
Ashley, Euan
Klissouras, Vassilis
Lucia, Alejandro
Ahmetov, Ildus
de, Geus Eco
Alsayrafi, Mohammed
Contact Email: colin.moran@stir.ac.uk
Keywords: Genetics
Performance
Issue Date: Mar-2016
Publisher: American Physiological Society
Citation: Pitsiladis Y, Tanaka M, Eynon N, Bouchard C, North K, Williams A, Collins MR, Moran CN, Britton SL, Fuku N, Ashley E, Klissouras V, Lucia A, Ahmetov I, de Geus E & Alsayrafi M (2016) Athlome Project Consortium: a concerted effort to discover genomic and other "OMIC" markers of athletic performance, Physiological Genomics, 48 (3), pp. 183-190.
Abstract: Despite numerous attempts to discover genetic variants associated with elite athletic performance, injury predisposition, and elite/world-class athletic status, there has been limited progress to date. Past reliance on candidate gene studies predominantly focusing on genotyping a limited number of single nucleotide polymorphisms or the insertion/deletion variants in small, often heterogeneous cohorts (i.e., made up of athletes of quite different sport specialties) have not generated the kind of results that could offer solid opportunities to bridge the gap between basic research in exercise sciences and deliverables in biomedicine. A retrospective view of genetic association studies with complex disease traits indicates that transition to hypothesis-free genome-wide approaches will be more fruitful. In studies of complex disease, it is well recognized that the magnitude of genetic association is often smaller than initially anticipated, and, as such, large sample sizes are required to identify the gene effects robustly. A symposium was held in Athens and on the Greek island of Santorini from 14–17 May 2015 to review the main findings in exercise genetics and genomics and to explore promising trends and possibilities. The symposium also offered a forum for the development of a position stand (the Santorini Declaration). Among the participants, many were involved in ongoing collaborative studies (e.g., ELITE, GAMES, Gene SMART, GENESIS, and POWERGENE). A consensus emerged among participants that it would be advantageous to bring together all current studies and those recently launched into one new large collaborative initiative, which was subsequently named the Athlome Project Consortium.
Type: Journal Article
URI: http://hdl.handle.net/1893/23578
DOI Link: http://dx.doi.org/10.1152/physiolgenomics.00105.2015
Rights: This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Publisher policy allows this work to be made available in this repository. Published in Physiological Genomics 2016 Vol. 48 no. 3, 183-190 by American Physiological Society. The original publication is available at: http://dx.doi.org/10.1152/physiolgenomics.00105.2015
Notes: Athlome Project Consortium also credited as author
Affiliation: University of Brighton
Tokyo Metropolitan Institute of Gerontology
Victoria University
Louisiana State University
University of Melbourne
Manchester Metropolitan University
University of Cape Town
Sport
University of Michigan
Juntendo University
Stanford University
University of Athens
European University Institute
Volga Region State Academy of Physical Culture
VU University Amsterdam
Anti-Doping Lab Qatar (ADLQ)

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