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Applying Personal Genetic Data to Injury Risk Assessment in Athletes

Overview of attention for article published in PLOS ONE, April 2015
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Title
Applying Personal Genetic Data to Injury Risk Assessment in Athletes
Published in
PLOS ONE, April 2015
DOI 10.1371/journal.pone.0122676
Pubmed ID
Authors

Gabrielle T. Goodlin, Andrew K. Roos, Thomas R. Roos, Claire Hawkins, Sydney Beache, Stephen Baur, Stuart K. Kim

Abstract

Recent studies have identified genetic markers associated with risk for certain sports-related injuries and performance-related conditions, with the hope that these markers could be used by individual athletes to personalize their training and diet regimens. We found that we could greatly expand the knowledge base of sports genetic information by using published data originally found in health and disease studies. For example, the results from large genome-wide association studies for low bone mineral density in elderly women can be re-purposed for low bone mineral density in young endurance athletes. In total, we found 124 single-nucleotide polymorphisms associated with: anterior cruciate ligament tear, Achilles tendon injury, low bone mineral density and stress fracture, osteoarthritis, vitamin/mineral deficiencies, and sickle cell trait. Of these single nucleotide polymorphisms, 91% have not previously been used in sports genetics. We conducted a pilot program on fourteen triathletes using this expanded knowledge base of genetic variants associated with sports injury. These athletes were genotyped and educated about how their individual genetic make-up affected their personal risk profile during an hour-long personal consultation. Overall, participants were favorable of the program, found it informative, and most acted upon their genetic results. This pilot program shows that recent genetic research provides valuable information to help reduce sports injuries and to optimize nutrition. There are many genetic studies for health and disease that can be mined to provide useful information to athletes about their individual risk for relevant injuries.

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Geographical breakdown

Country Count As %
United Kingdom 3 2%
Netherlands 1 <1%
Austria 1 <1%
Indonesia 1 <1%
Denmark 1 <1%
Spain 1 <1%
Unknown 175 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 31 17%
Student > Master 29 16%
Researcher 21 11%
Student > Ph. D. Student 20 11%
Other 14 8%
Other 31 17%
Unknown 37 20%
Readers by discipline Count As %
Medicine and Dentistry 32 17%
Sports and Recreations 29 16%
Biochemistry, Genetics and Molecular Biology 26 14%
Agricultural and Biological Sciences 19 10%
Nursing and Health Professions 15 8%
Other 20 11%
Unknown 42 23%