Evidence map›Paper›PMID 32866209›Full record

ArticlePloS one2020

Detection of epistasis between ACTN3 and SNAP-25 with an insight towards gymnastic aptitude identification.

Łukasz Andrzej Płóciennik, Jan Zaucha, Jan Maciej Zaucha, Krzysztof Łukaszuk, Marek Jóźwicki, Magdalena Płóciennik, Paweł Cięszczyk

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. 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

7 authors at 3 institutions in 2 countries.

Łukasz Andrzej PłóciennikDepartment of Physical Education, Academy of Physical Education and Sport in Gdansk, Gdansk, Pomorskie Voivodeship, Poland.ORCID 0000-0003-2383-1336
Jan ZauchaDepartment of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technische Universität München, Freising, Germany.ORCID 0000-0003-3289-4590
Jan Maciej ZauchaDepartment of Haematology and Transplantation, Medical University of Gdansk, Gdansk, Pomorskie Voivodeship, Poland.ORCID 0000-0002-0986-8936
Krzysztof ŁukaszukFaculty of Health Sciences with Institute of Maritime and Tropical Medicine, Medical University of Gdansk, Gdansk, Pomorskie Voivodeship, Poland.
Marek JóźwickiDepartment of Architecture and Design, Academy of Fine Arts, Gdansk, Pomorskie Voivodeship, Poland.
Magdalena PłóciennikFitnessFitback, Pomorskie Voivodeship, Poland.
Paweł CięszczykDepartment of Physical Education, Academy of Physical Education and Sport in Gdansk, Gdansk, Pomorskie Voivodeship, Poland.
Gdansk University of Physical Education and Sport · PLWeihenstephan-Triesdorf University of Applied Sciences · DEGdańsk Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we performed an analysis of the impact of performance enhancing polymorphisms (PEPs) on gymnastic aptitude while considering epistatic effects. Seven PEPs (rs1815739, rs8192678, rs4253778, rs6265, rs5443, rs1076560, rs362584) were considered in a case (gymnasts)-control (sedentary individuals) setting. The study sample comprised of two athletes' sets: 27 elite (aged 24.8 ± 2.1 years) and 46 sub-elite (aged 19.7 ± 2.4 years) sportsmen as well as a control group of 245 sedentary individuals (aged 22.5 ± 2.1 years). The DNA was derived from saliva and PEP alleles were determined by PCR, RT-PCR. Following Multifactor Dimensionality Reduction, logistic regression models were built. The synergistic effect for rs1815739 x rs362584 reached 5.43%. The rs1815739 x rs362584 epistatic regression model exhibited a good fit to the data (Chi-squared = 33.758, p ≈ 0) achieving a significant improvement in sportsmen identification over naïve guessing. The area under the receiver operating characteristic curve was 0.715 (Z-score = 38.917, p ≈ 0). In contrast, the additive ACTN3 -SNAP-25 logistic regression model has been verified as non-significant. We demonstrate that a gene involved in the differentiation of muscle architecture-ACTN3 and a gene, which plays an important role in the nervous system-SNAP-25 interact. From the perspective originally established by the Berlin Academy of Science in 1751, the matter of communication between the brain and muscles via nerves adopts molecular manifestations. Further in-vitro investigations are required to explain the molecular details of the rs1815739 -rs362584 interaction.

Indexed as

AptitudeEpistasis, GeneticActininAdultAllelesArea Under CurveDatabases, GeneticEntropyFemaleGenetic MarkersGymnasticsHumansLogistic ModelsMaleModels, GeneticMultifactor Dimensionality ReductionActininACTN3 protein, humanGenetic MarkersSNAP25 protein, humanSynaptosomal-Associated Protein 25

Identifiers

PMID32866209
PMCPMC7458280
OpenAlexW3082657962

What OpenQuestion 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 OpenQuestion graph.