Evidence map›Paper›PMID 31779250›Full record

ReviewGenes2019

Can Genetic Testing Identify Talent for Sport?

Craig Pickering, John Kiely, Jozo Grgic, Alejandro Lucia, Juan Del Coso

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 5 pooled it
5.7field-weighted citation impact, top 4% of its field
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

33 citing papers in PubMed, 5 syntheses or guidelines pooled it, 94 citations in OpenAlex.

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  20. Mismatches in youth sports talent development.Frontiers in sports and active living · 2023
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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

5 authors at 4 institutions in 3 countries.

Craig PickeringInstitute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Preston PR1 2HE, UK.
John KielyInstitute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Preston PR1 2HE, UK.
Jozo GrgicInstitute for Health and Sport (IHES), Victoria University, Melbourne, VIC 3011, Australia.
Alejandro LuciaFaculty of Sport Sciences, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain.
Juan Del CosoCentre for Sport Studies, Rey Juan Carlos University, 28943 Fuenlabrada, Spain.
University of Lancashire · GBCentro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable · ESUniversidad Rey Juan Carlos · ESVictoria University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elite athlete status is a partially heritable trait, as are many of the underpinning physiological, anthropometrical, and psychological traits that contribute to elite performance. In recent years, our understanding of the specific genetic variants that contribute to these traits has grown, such that there is considerable interest in attempting to utilise genetic information as a tool to predict future elite athlete status. In this review, we explore the extent of the genetic influence on the making of a sporting champion and we describe issues which, at present, hamper the utility of genetic testing in identifying future elite performers. We build on this by exploring what further knowledge is required to enhance this process, including a reflection on the potential learnings from the use of genetics as a disease prediction tool. Finally, we discuss ways in which genetic information may hold utility within elite sport in the future, including guiding nutritional and training recommendations, and assisting in the prevention of injury. Whilst genetic testing has the potential to assist in the identification of future talented performers, genetic tests should be combined with other tools to obtain an accurate identification of those athletes predisposed to succeed in sport. The use of total genotype scores, composed of a high number of performance-enhancing polymorphisms, will likely be one of the best strategies in the utilisation of genetic information to identify talent in sport.

Indexed as

Athletic PerformanceAnthropometryAptitudeFemaleGenetic TestingGenetic VariationHumansMaleQuantitative Trait Lociathletic performanceelite athletegeneticssingle nucleotide polymorphismsuccess

Identifiers

PMID31779250
PMCPMC6969917
OpenAlexW2991453564

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.