Evidence map›Paper›PMID 24809029›Full record

ReviewTranslational medicine @ UniSa2014

Genomics DNA profiling in elite professional soccer players: a pilot study.

M Kambouris, A Del Buono, N Maffulli

Abstract readReview
In one paragraph

Review in Translational medicine @ UniSa, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 4 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

10 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. ACTN3's R577X Single Nucleotide Polymorphism Allele Distribution Differs Significantly in Professional Football Players according to Their Field Position.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2021
    Article
  8. Genetic biomarkers in non-contact muscle injuries in elite soccer players.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2017
    Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

M KambourisShafallah Medical Genetics Center , Doha, Qatar.
A Del BuonoDepartment of Orthopaedic and Trauma Surgery Hospital Antonio Cardarelli, 86100 Contrada Tappino , Campobasso, Italy.
N MaffulliDepartment of Musculoskeletal Disorders, University of Salerno , Salerno, Italy ; Queen Mary University of London, Center of Sports and Exercise Medicine , London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional variants in exonic regions have been associated with development of cardiovascular disease, diabetes and cancer. Athletic performance can be considered a multi-factorial complex phenotype. Genomic DNA was extracted from buccal swabs of seven soccer players from the Fulham football team. Single nucleotide polymorphism (SNPs) genotyping was undertaken. To achieve optimal athletic performance, predictive genomics DNA profiling for sports performance can be used to aid in sport selection and elaboration of personalized training and nutrition programs. Predictive DNA profiling may be able to detect athletes with potential or frank injuries, or screening and selection of future athletes, and can help them to maximize utilization of their potential and improve performance in sports. The aim of this study is to provide a wide scenario of specific genomic variants that an athlete carries, to implement which measures should be taken to maximize the athlete's potential.

Indexed as

athletesperformanceSNP variants

Identifiers

PMID24809029
PMCPMC4012369

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.