Evidence map›Paper›PMID 31691930›Full record

ReviewSports medicine (Auckland, N.Z.)2019

Genetic Approaches for Sports Performance: How Far Away Are We?

Michael J Joyner

Abstract readReview
In one paragraph

Review in Sports medicine (Auckland, N.Z.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Sex-based limits to running speed in the human, horse and dog: The role of sexual dimorphisms.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
    Review
  12. Review
  13. Article
  14. Genetic test for the personalization of sport training.Acta bio-medica : Atenei Parmensis · 2020
    Review
  15. Review
  16. 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

1 author.

Michael J JoynerDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, 55905, USA. joyner.michael@mayo.edu.ORCID http://orcid.org/0000-0002-7135-7643

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans vary in their 'natural ability' related to sports performance. One facet of natural ability reflects so-called intrinsic ability or the ability to do well with minimal training. A second facet of natural ability is how rapidly an individual adapts to training; this is termed trainability. A third facet is the upper limit achievable after years of prolonged intense training; this represents both intrinsic ability and also trainability. There are other features of natural ability to consider, for example body size, because some events, sports, or positions favor participants of different sizes. In this context, the physiological determinants of elite endurance performance, especially running and cycling, are well known and can be used as a template to discuss these general issues. The key determinants of endurance performance include maximal oxygen uptake [Formula: see text], the lactate threshold, and running economy (efficiency in the case of cycling or other sports). In this article, I use these physiological determinants to explore what is known about the genetics of endurance performance. My main conclusion is that at this time there are very few, if any, obvious relationships between these key physiological determinants of performance and DNA sequence variation. Several potential reasons for this lack of relationship will be discussed.

Indexed as

Genetic VariationAthletic PerformanceBicyclingHumansLactic AcidOxygen ConsumptionPhysical EnduranceRunningLactic Acid

Identifiers

PMID31691930
PMCPMC6901428

What Socratic 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 Socratic graph.