Evidence map›Paper›PMID 25919592›Full record

ArticlePloS one2014

Applying personal genetic data to injury risk assessment in athletes.

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

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The Role ofGenes · 2026
    Pooled it
  2. Pooled it
  3. The role ofEuropean journal of translational myology · 2026
    Article
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  13. Frontiers in physiology · 2017
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Gabrielle T GoodlinDepartments of Developmental Biology and Genetics, Stanford University Medical Center, Stanford, CA, 94305, United States of America.
Andrew K RoosDivision of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, 94305, United States of America.
Thomas R RoosDivision of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, 94305, United States of America.
Claire HawkinsDepartment of Human Biology, Stanford University, Stanford, CA, 94305, United States of America.
Sydney BeacheDepartment of Human Biology, Stanford University, Stanford, CA, 94305, United States of America.
Stephen BaurDepartments of Developmental Biology and Genetics, Stanford University Medical Center, Stanford, CA, 94305, United States of America.
Stuart K KimDepartments of Developmental Biology and Genetics, Stanford University Medical Center, Stanford, CA, 94305, United States of America.

Funding

Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
Mechanisms of Aging in C. elegansR01AG025941 · NIA · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE · 2007 to 2017
$3.1M
NCRR NIH HHS UL1 RR025744NIA NIH HHS R01 AG025941
6 · The paper itself

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.

Indexed as

Databases, GeneticPolymorphism, Single NucleotideAthletic InjuriesDatabases, BibliographicFemaleGenetic CounselingHumansMalePilot ProjectsPrecision MedicineRisk Assessment

Identifiers

PMID25919592
PMCPMC4412532

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.