Literature DB >> 22827597

Predictive genomics DNA profiling for athletic performance.

Marios Kambouris1, Foteini Ntalouka, Georgios Ziogas, Nicola Maffulli.   

Abstract

Genes control biological processes such as muscle, cartilage and bone formation, muscle energy production and metabolism (mitochondriogenesis, lactic acid removal), blood and tissue oxygenation (erythropoiesis, angiogenesis, vasodilatation), all essential in sport and athletic performance. DNA sequence variations in such genes confer genetic advantages that can be exploited, or genetic 'barriers' that could be overcome to achieve optimal athletic performance. Predictive Genomic DNA Profiling for athletic performance reveals genetic variations that may be associated with better suitability for endurance, strength and speed sports, vulnerability to sports-related injuries and individualized nutritional requirements. Knowledge of genetic 'suitability' in respect to endurance capacity or strength and speed would lead to appropriate sport and athletic activity selection. Knowledge of genetic advantages and barriers would 'direct' an individualized training program, nutritional plan and nutritional supplementation to achieving optimal performance, overcoming 'barriers' that results from intense exercise and pressure under competition with minimum waste of time and energy and avoidance of health risks (hypertension, cardiovascular disease, inflammation, and musculoskeletal injuries) related to exercise, training and competition. Predictive Genomics DNA profiling for Athletics and Sports performance is developing into a tool for athletic activity and sport selection and for the formulation of individualized and personalized training and nutritional programs to optimize health and performance for the athlete. Human DNA sequences are patentable in some countries, while in others DNA testing methodologies [unless proprietary], are non patentable. On the other hand, gene and variant selection, genotype interpretation and the risk and suitability assigning algorithms based on the specific Genomic variants used are amenable to patent protection.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22827597     DOI: 10.2174/187221512802717321

Source DB:  PubMed          Journal:  Recent Pat DNA Gene Seq        ISSN: 1872-2156


  16 in total

1.  Genetics and the Elite Athlete: Our Understanding in 2020.

Authors:  Rakesh John; Mandeep Singh Dhillon; Sidak Dhillon
Journal:  Indian J Orthop       Date:  2020-03-11       Impact factor: 1.251

2.  Genetic biomarkers in non-contact muscle injuries in elite soccer players.

Authors:  Ricard Pruna; Rosa Artells; Matilda Lundblad; Nicola Maffulli
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-04-16       Impact factor: 4.342

3.  Elastin: a possible genetic biomarker for more severe ligament injuries in elite soccer. A pilot study.

Authors:  Rosa Artells; Ricard Pruna; Alexandre Dellal; Nicola Maffulli
Journal:  Muscles Ligaments Tendons J       Date:  2016-09-17

4.  The dawning age of genetic testing for sports injuries.

Authors:  Gabrielle T Goodlin; Thomas R Roos; Andrew K Roos; Stuart K Kim
Journal:  Clin J Sport Med       Date:  2015-01       Impact factor: 3.638

5.  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

Review 6.  Genetic influence on athletic performance.

Authors:  Lisa M Guth; Stephen M Roth
Journal:  Curr Opin Pediatr       Date:  2013-12       Impact factor: 2.856

7.  Association of glutathione S-transferase M1 and T1 null/present polymorphism with physical performance in the Korean population.

Authors:  In Wook Hwang; Kicheol Kim; Bit Na Kwon; Hyung Jun Kim; Seung Hun Han; Noo Ri Lee; Eun Ji Choi; Hyun Ik Cho; Han Jun Jin
Journal:  Genes Genomics       Date:  2018-09-10       Impact factor: 1.839

8.  Effect of gene polymorphisms on the mechanical properties of human tendon structures.

Authors:  Keitaro Kubo; Hideaki Yata; Naoya Tsunoda
Journal:  Springerplus       Date:  2013-07-25

9.  Applying personal genetic data to injury risk assessment in athletes.

Authors:  Gabrielle T Goodlin; Andrew K Roos; Thomas R Roos; Claire Hawkins; Sydney Beache; Stephen Baur; Stuart K Kim
Journal:  PLoS One       Date:  2015-04-28       Impact factor: 3.240

10.  Single nucleotide polymorphisms associated with non-contact soft tissue injuries in elite professional soccer players: influence on degree of injury and recovery time.

Authors:  Ricard Pruna; Rosa Artells; Jordi Ribas; Bruno Montoro; Francesc Cos; Carme Muñoz; Gil Rodas; Nicola Maffulli
Journal:  BMC Musculoskelet Disord       Date:  2013-07-26       Impact factor: 2.362

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.