Evidence map›Paper›PMID 15726413›Full record

ReviewHuman genetics2005

Genes and human elite athletic performance.

Daniel G Macarthur, Kathryn N North

Abstract readReview
PubMed Publisher
In one paragraph

Review in Human genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Review
  7. Article
  8. Article
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  10. Review
  11. The Relationship between Changes inJournal of cardiovascular development and disease · 2023
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Genetic test for the personalization of sport training.Acta bio-medica : Atenei Parmensis · 2020
    Review
  18. Article
  19. Article
  20. Scaling Invariance of Sports Sex Gap.Frontiers in physiology · 2020
    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

2 authors.

Daniel G MacarthurInstitute for Neuromuscular Research, Children's Hospital at Westmead, Locked Bag 4001, Westmead, Sydney, NSW 2145, Australia.
Kathryn N North

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical fitness is a complex phenotype influenced by a myriad of environmental and genetic factors, and variation in human physical performance and athletic ability has long been recognised as having a strong heritable component. Recently, the development of technology for rapid DNA sequencing and genotyping has allowed the identification of some of the individual genetic variations that contribute to athletic performance. This review will examine the evidence that has accumulated over the last three decades for a strong genetic influence on human physical performance, with an emphasis on two sets of physical traits, viz. cardiorespiratory and skeletal muscle function, which are particularly important for performance in a variety of sports. We will then review recent studies that have identified individual genetic variants associated with variation in these traits and the polymorphisms that have been directly associated with elite athlete status. Finally, we explore the scientific implications of our rapidly growing understanding of the genetic basis of variation in performance.

Indexed as

GenotypeCardiovascular Physiological PhenomenaCase-Control StudiesGenetic VariationHumansMuscle, SkeletalPhysical FitnessPolymorphism, GeneticRespiratory Physiological PhenomenaSports

Identifiers

What OpenQuestion holds

Textmetadata
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.