Evidence map›Paper›PMID 27601773›Full record

ArticleBiology of sport2016

Association analysis of ACE, ACTN3 and PPARGC1A gene polymorphisms in two cohorts of European strength and power athletes.

V Gineviciene, A Jakaitiene, M O Aksenov, A V Aksenova, A M Druzhevskaya, I V Astratenkova, E S Egorova, L J Gabdrakhmanova, L Tubelis, V Kucinskas and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biology of sport, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 8 pooled it
4.8field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 8 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Association between theFrontiers in physiology · 2025
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Trial
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Role of theGenes · 2024
    Review
  17. TheMetabolites · 2024
    Article
  18. Article
  19. Article
  20. 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

11 authors at 5 institutions in 2 countries.

V GinevicieneDepartment of Human and Medical Genetics, Vilnius University, Lithuania.
A JakaitieneDepartment of Human and Medical Genetics, Vilnius University, Lithuania.
M O AksenovDepartment of Theory of Physical Culture, Buryat State University, Russia.
A V AksenovaDepartment of Theory of Physical Culture, Buryat State University, Russia.
A M DruzhevskayaSt Petersburg Research Institute of Physical Culture, St Petersburg, Russia.
I V AstratenkovaSt Petersburg Research Institute of Physical Culture, St Petersburg, Russia.
E S EgorovaVolga Region State Academy of Physical Culture, Sport and Tourism, Kazan, Russia.
L J GabdrakhmanovaVolga Region State Academy of Physical Culture, Sport and Tourism, Kazan, Russia.
L TubelisLithuanian University of Educational Sciences, Lithuania.
V KucinskasDepartment of Human and Medical Genetics, Vilnius University, Lithuania.
A UtkusDepartment of Human and Medical Genetics, Vilnius University, Lithuania.
Vilnius University · LTBuryat State University · RUFederal Scientific Center of Physical Culture and Sports · RUVolga Region State Academy of Physical Culture, Sports and Tourism · RULithuanian University of Educational Sciences · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance of professional strength and power athletes is influenced, at least partly, by genetic components. The main aim of this study was to investigate individually and in combination the association of ACE (I/D), ACTN3 (R577X) and PPARGC1A (Gly482Ser) gene polymorphisms with strength/power-oriented athletes' status in two cohorts of European athletes. A cohort of European Caucasians from Russia and Lithuania (161 athletes: by groups - weightlifters (87), powerlifters (60), throwers (14); by elite status - 'elite' (104), 'sub-elite' (57); and 1,202 controls) were genotyped for ACE, ACTN3 and PPARGC1A polymorphisms. Genotyping was performed by polymerase chain reaction and/or restriction fragment length polymorphism analysis. Statistically significant differences in ACTN3 (R577X) allele/genotype distribution were not observed in the whole cohort of athletes or between analysed groups separately when compared with controls. The odds ratio for athletes compared to controls of the ACE I/I genotype was 1.71 (95% CI 1.01-2.92) in the Russian cohort and for the ACE I/D genotype it was 2.35 (95% CI 1.10-5.06) in the Lithuanian cohort. The odds ratio of being a powerlifter in PPARGC1A Ser/Ser genotype carriers was 2.11 (95% CI: 1.09-4.09, P = 0.026). The ACTN3 (R577X) polymorphism is not associated with strength/power athletic status in two cohorts of European athletes. The ACE I/I genotype is probably the 'preferable genotype' for Russian athletes and the ACE I/D genotype for Lithuanian strength/power athletes. We found that the PPARGC1A (Gly482Ser) polymorphism is associated with strength/power athlete status. Specifically, the PPARGC1A Ser/Ser genotype is more favourable for powerlifters compared to controls.

Indexed as

ActininAngiotensinogenAthletic PerformanceGenotypeHumansMuscle StrengthPPAR alpha

Identifiers

PMID27601773
PMCPMC4993134
OpenAlexW2345727714

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.