Evidence map›Paper›PMID 36421766›Full record

ArticleGenes2022

The Association between Total Genotype Score and Athletic Performance in Weightlifters.

Hiroki Homma, Mika Saito, Aoto Saito, Ayumu Kozuma, Ryutaro Matsumoto, Shingo Matsumoto, Naoyuki Kobatake, Takanobu Okamoto, Koichi Nakazato, Tetsunari Nishiyama and 1 more

Abstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Association between theFrontiers in physiology · 2025
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. TheMetabolites · 2024
    Article
  8. Article
  9. Review
  10. Review
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

11 authors.

Hiroki HommaFaculty of Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan.
Mika SaitoGraduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan.
Aoto SaitoGraduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan.
Ayumu KozumaGraduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan.
Ryutaro MatsumotoFaculty of Education, Ikuei University, Takasaki 370-0011, Japan.
Shingo MatsumotoFaculty of Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan.
Naoyuki KobatakeFaculty of Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan.
Takanobu OkamotoFaculty of Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan.
Koichi NakazatoGraduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan.ORCID 0000-0002-2479-5771
Tetsunari NishiyamaFaculty of Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan.
Naoki KikuchiFaculty of Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan.ORCID 0000-0001-5901-7307

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the relationship between power-oriented genetic polymorphisms and weightlifting status, create a total genotype score (TGS), and validate the association between TGS models and power-oriented athletes. First, 192 weightlifters and 416 controls were studied, and 12 polymorphisms that have previously been associated with strength, power status, and phenotype were genotyped using the TaqMan SNP genotyping assay. We calculated the TGS for the 12 polymorphisms using a PWM (power-oriented whole model) and for 6 of them using a WRM (weightlifting-related model) based on a case-control study. Second, the TGS of the WRM was compared for 177 strength and power athletes and 416 controls. There was no significant difference in the PWM score between weightlifters and the controls. Weightlifters and elite weightlifters had higher WRM scores than the controls. However, the WRM score had no association with weightlifting performance. There was no significant difference in the WRM between power-oriented athletes and the controls. Our study was able to create a TGS model for weightlifters based on case-control results. However, the TGS model could not be applied to other power-oriented athletes.

Indexed as

Athletic PerformanceAthletesCase-Control StudiesGenotypeHumansWeight Liftingathletic statusDNAgene markersgeneticspolymorphismpower athletestotal genotype scoreweightlifters

Identifiers

PMID36421766
PMCPMC9690594

What OpenQuestion holds

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Registered trials

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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.