Evidence map›Paper›PMID 31897802›Full record

ArticleMolecular genetics and genomics : MGG2020

Genetic variants associated with exercise performance in both moderately trained and highly trained individuals.

N R Harvey, S Voisin, P J Dunn, H Sutherland, X Yan, M Jacques, I D Papadimitriou, L J Haseler, K J Ashton, L M Haupt and 2 more

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Molecular genetics and genomics : MGG, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. The genetics of human performance.Nature reviews. Genetics · 2022
    Review
  4. Article
  5. 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

12 authors at 5 institutions in 1 country.

N R HarveyHealth Sciences and Medicine Faculty, Bond University, Robina, QLD, 4226, Australia.ORCID http://orcid.org/0000-0003-2035-8475
S VoisinInstitute for Health and Sport (iHeS), Victoria University, Victoria, VIC, 3011, Australia.ORCID http://orcid.org/0000-0002-4074-7083
P J DunnGenomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, 4059, Australia.
H SutherlandGenomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, 4059, Australia.ORCID http://orcid.org/0000-0002-8512-1498
X YanInstitute for Health and Sport (iHeS), Victoria University, Victoria, VIC, 3011, Australia.ORCID http://orcid.org/0000-0001-8547-4210
M JacquesInstitute for Health and Sport (iHeS), Victoria University, Victoria, VIC, 3011, Australia.
I D PapadimitriouInstitute for Health and Sport (iHeS), Victoria University, Victoria, VIC, 3011, Australia.ORCID http://orcid.org/0000-0001-5032-9937
L J HaselerFaculty of Health Sciences, School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, 6102, Australia.
K J AshtonHealth Sciences and Medicine Faculty, Bond University, Robina, QLD, 4226, Australia.ORCID http://orcid.org/0000-0001-6106-3425
L M HauptGenomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, 4059, Australia.ORCID http://orcid.org/0000-0002-7735-8110
N EynonInstitute for Health and Sport (iHeS), Victoria University, Victoria, VIC, 3011, Australia.ORCID http://orcid.org/0000-0003-4046-8276
L R GriffithsGenomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, 4059, Australia. lyn.griffiths@qut.edu.au.ORCID http://orcid.org/0000-0002-6774-5475
Victoria University · AUQueensland University of Technology · AUBond University · AUCurtin University · AUGriffith University · AU

Funding

CRN-AESS Bond UniversityNational Health and Medical Research Council APP1140644
6 · The paper itself

Abstract

Adaptation to exercise training is a complex trait that may be influenced by genetic variants. We identified 36 single nucleotide polymorphisms (SNPs) that had been previously associated with endurance or strength performance, exercise-related phenotypes or exercise intolerant disorders. A MassARRAY multiplex genotyping assay was designed to identify associations with these SNPs against collected endurance fitness phenotype parameters obtained from two exercise cohorts (Gene SMART study; n = 58 and Hawaiian Ironman Triathlon 2008; n = 115). These parameters included peak power output (PP), a time trial (TT), lactate threshold (LT), maximal oxygen uptake (VO

Indexed as

Adaptation, PhysiologicalAdultAthletic PerformanceExerciseGenome, HumanGenotypeHumansLactic AcidMalePhysical EndurancePolymorphism, Single NucleotideLactic AcidEnduranceExerciseGeneticsMassARRAYReplication

Identifiers

PMID31897802
OpenAlexW2998101123

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.