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.
| Original language | English |
|---|---|
| Pages (from-to) | 183-190 |
| Number of pages | 8 |
| Journal | Physiological Genomics |
| Volume | 48 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Mar 2016 |
| Externally published | Yes |
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Keywords
- Genetics
- Performance
- Sports genomics
ASJC Scopus subject areas
- Physiology
- Genetics
Cite this
Athlome project consortium : A concerted effort to discover genomic and other "omic" markers of athletic performance. / Athlome Project Consortium.
In: Physiological Genomics, Vol. 48, No. 3, 01.03.2016, p. 183-190.Research output: Contribution to journal › Review article
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TY - JOUR
T1 - Athlome project consortium
T2 - A concerted effort to discover genomic and other "omic" markers of athletic performance
AU - Athlome Project Consortium
AU - Pitsiladis, Yannis P.
AU - Tanaka, Masashi
AU - Eynon, Nir
AU - Bouchard, Claude
AU - North, Kathryn N.
AU - Williams, Alun G.
AU - Collins, Malcolm
AU - Moran, Colin N.
AU - Britton, Steven L.
AU - Fuku, Noriyuki
AU - Ashley, Euan A.
AU - Klissouras, Vassilis
AU - Lucia, Alejandro
AU - Ahmetov, Ildus I.
AU - De Geus, Eco
AU - Alsayrafi, Mohammed
AU - Webborn, Nick
AU - Wang, Guan
AU - Bishop, David J.
AU - Papadimitriou, Ioannis
AU - Yan, Xu
AU - Tirosh, Oren
AU - Kuang, Jujiao
AU - Rankinen, Tuomo
AU - Sarzinsky, Mark
AU - Mikael Mattsson, C.
AU - Wheeler, Matthew
AU - Waggott, Daryl
AU - Byrne, Nuala M.
AU - Artioli, Guilherme G.
AU - September, Alison
AU - Posthumus, Michael
AU - Van der Merwe, Willem
AU - Cieszczyk, Pawel
AU - Leonska-Duniec, Agata
AU - Ficek, Krzysztof
AU - Maciejewska-Karlowska, Agnieszka
AU - Sawczuk, Marek
AU - Stepien-Slodkowska, Marta
AU - Feller, Julian
AU - Dijkstra, Paul
AU - Chmutov, Aleksandr M.
AU - Dyatlov, Dmitry A.
AU - Orekhov, Evgeniy F.
AU - Pushkareva, Yuliya E.
AU - Shvedkaya, Irina A.
AU - Massidda, Myosotis
AU - Calò, Carla M.
AU - Day, Stephen H.
AU - Suhre, Karsten
PY - 2016/3/1
Y1 - 2016/3/1
N2 - 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.
AB - 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.
KW - Genetics
KW - Performance
KW - Sports genomics
UR - http://www.scopus.com/inward/record.url?scp=84984853469&partnerID=8YFLogxK
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U2 - 10.1152/physiolgenomics.00105.2015
DO - 10.1152/physiolgenomics.00105.2015
M3 - Review article
VL - 48
SP - 183
EP - 190
JO - Physiological Genomics
JF - Physiological Genomics
SN - 1531-2267
IS - 3
ER -