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Record W4394553565 · doi:10.6084/m9.figshare.23935164

<b>Assessment of professional soccer players' physical fitness levels based on certain gene (</b><i><b>AGT</b></i><b> rs699 &amp; </b><i><b>IL-6</b></i><b> rs1800795) polymorphisms</b>

2023· dataset· en· W4394553565 on OpenAlexaff
Celal Bulğay, Nicola Luigi Bragazzi, Veli Ozan Çakır, Selin Yıldırım, Tolga Polat, Korkut Ulucan, Halil İ̇brahim Ceylan, Metin Dalıp, Mehmet Koçak, Mesut Cerit

Bibliographic record

VenueFigshare · 2023
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Physical Performance
Canadian institutionsYork University
Fundersnot available
KeywordsGroup BGeneBiologyGeneticsMedicineInternal medicine

Abstract

fetched live from OpenAlex

The present investigation endeavors to elucidate the physical fitness attributes inherent to professional soccer athletes in accordance with the AGT rs699 and IL-6 rs1800795 gene polymorphisms. A cohort of twenty-two accomplished soccer players, aged between 18 to 35 years, willingly participated in the study. Subsequent to the procurement of genomic DNA from oral epithelial cells through the Invitrogen DNA isolation kit (Invitrogen, USA), in adherence to the manufacturer's guidelines, genotyping procedures were executed using real-time polymerase chain reaction (PCR). The evaluative parameters for the players' physical fitness encompassed squat jump (SJ), countermovement jump (CMJ), drop jump (DJ), Yo-Yo Intermittent Recovery test level 2 (Yo-Yo IRT 2), bench press one repetition maximum (1RM), and sprinting capacities (5m, 10m, 30m). Statistical analysis entailed the utilization of the Wilcoxon Signed Rank Test to discern differences between the pre-test and post-test measurements of the soccer participants. Upon segregating the outcomes in alignment with the AGT genotype variable, statistically significant differences were not discerned in SJ, 5m sprint time, 30m sprint time, CMJ, DJ evaluations, and body fat percentage (p > 0.05). In contrast, statistically significant differences were observed in the context of Yo-Yo IRT 2, 10m sprint time, and 1RM bench press outcomes (Yo-Yo IRT 2: CC and CT p = 0.011, 0.012; 10m: p = 0.028; 1RM: CC and CT p = 0.007, 0.008 correspondingly). Upon analysis predicated upon the IL6 genotype variable, statistically significant differences were absent in SJ, 30m sprint time, CMJ, DJ appraisals, and body fat percentage (p > 0.05). Nevertheless, significant differences were identified in the domains of Yo-Yo IRT 2, 5m sprint time, 10m sprint time, and 1RM bench press measurements (Yo-Yo IRT 2: CC and GG p = 0.012, 0.005; 5m: CC p = 0.045; 10m: CC and GG p = 0.010, 0.033; 1RM CC and GG p = 0.008, 0.003 respectively). In summation, the gene polymorphisms AGT rs699 (C allele) and IL-6 rs1800795 (C allele) exhibit potential associations with adaptations induced by training regimens. However, it is imperative to conduct further investigations, particularly within the confines of homogenous participant cohorts, to gain enhanced insights into the nexus between the aforementioned rs699 and rs1800795 polymorphisms and their influence upon professional soccer athletes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.326
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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