The enzyme polypeptide N-acetylgalactosaminyltransferase like 6, encoded by the GALANTL6 gene, plays a role in the gut microbiome regarding regulation of short-chain fatty acids and their anti-inflammatory and resynthesis functions. It was hypothesized that the T allele of the GALNTL6 rs558129 polymorphism could have a positive effect on anaerobic metabolism. Thus, this study was performed to investigate the association between GALNTL6 rs558129 polymorphism and athletic performance in swimmers. A total of 147 Polish short distance (SDS) and 49 long distance swimmers (LDS) of national or international competitive levels and 379 controls were genotyped using the real-time polymerase chain reaction (real-time PCR). We found that the carriers of the T allele (CT+TT) had a 1.56 times higher chance of being SDS (odds ratio (OR): 95%CI 1.06-2.29) than the CC homozygotes. The T allele was overrepresented in the SDS compared with controls (33.7% vs. 25.7%, p = 0.025, OR 1.40, 95% CI 1.04-1.87), but no statistically significant differences were found for LDS. This study provides evidence for an association between the GALNTL6 rs558129 polymorphism and short distance swimming athlete status. Although more replication studies are needed, the preliminary data suggest an opportunity to use the analysis of GALNTL6 polymorphism along with other variants of candidate genes and standard phenotypic assessment in power-oriented sports selection.
Key words
- sport
- swimming
- performance
- gene
- athlete status
- gut microbiome
Physical performance is a complex phenotype with a well-confirmed strong genetic basis. Accordingly, it has been shown that the heritability of athlete status is around 66% (De Moor et al., 2007). It is a highly polygenic trait. More than 200 genetic markers (situated within autosomal genes, mitochondrial DNA, X and Y chromosomes) have been linked to sport predispositions (Ahmetov et al., 2016). Recently, in a study comparing elite athletes and sedentary controls from seven cohorts – Australia, Ethiopia, Japan, Kenya, Poland, Russia, and Spain – an international consortium (GAMES) found a novel relationship between the N-acetylgalactosaminyltransferase like 6 gene (
The
The
The main aim of the present study was to compare the genotype distributions and the allele frequencies of the
The Pomeranian Medical University Ethics Committee, Poland, approved the procedures. The experimental protocols were conducted ethically according to the World Medical Association Declaration of Helsinki and Strengthening the Reporting of Genetic Association studies statement (STREGA). All participants were informed of the risks and benefits of the experiment and a written consent form was completed by each participant or their parents if the participant was under 18 years of age. All individual data were anonymous.
The study group included 197 swimmers (20.31 ± 2.67 years) from Poland, who competed in national and international competitions and achieved a result of more than 600 FINA points. The division of the study group, based on their competitive distance and values of relative contribution of the aerobic or anaerobic energy systems, is presented in Table 1. Detailed characteristics of Polish swimmers were described previously by Zmijewski and Leońska-Duniec (2021).
Size and division of the study and control groups
Group | Females | Males | Total | |
---|---|---|---|---|
SDS (50 m - 200 m) | 67 | 80 | 147 | |
Swimmers | LDS (≥ 400 m) | 25 | 24 | 49 |
LDS + SDS | 93 | 104 | 197 | |
Controls | 157 | 222 | 379 |
The control group included 379 (22.6 ± 2.8 years) unrelated, sedentary students (Table 1). All participants were Caucasians.
Total DNA was isolated from the buccal cells by a GenElute Mammalian Genomic DNA Miniprep Kit (Sigma, Germany) according to the producer's protocol. All samples were genotyped in duplicate. An allelic discrimination assay on a C1000 Touch Thermal Cycler (Bio-Rad, Germany) instrument with TaqMan probes was used. To identify the
C____968950_10), containing fluorescently labelled (FAM and VIC) minor groove binder (MGB) probes and two specific primers.
Hardy-Weinberg equilibrium expectations were compared with observed counts using the chi-square test with 1 degree of freedom. Allele frequencies were estimated using genotype counts. Genotype and allele distribution between groups were compared using the chi-square test and the analysis of sex differences was conducted. The models of inheritance, i.e., codominant, dominant, recessive and overdominant, were constructed assuming a minor allele as the risk allele. Odds ratios with 95% confidence intervals (95% CI) were used as a measure of the strength of the association. All analyses were performed using STATISTICA version 13 (TIBCO Software Inc.,
The
Comparison of SDS and control individuals (genotypes and alleles)
Genotype | Controls (n=379) | SDS (n=147) | OR (95 % CI) | |
---|---|---|---|---|
Dominant |
||||
CC | 212 (55.9%) | 66(44.9%) | 1 | |
CT-TT | 167 (44.1%) | 81(55.1%) | (1.061.56 -2.29) | |
Recessive |
||||
CC-CT | 351 (92.6%) | 129(87.8%) | 1 | |
TT | (7.428 %) | 18(12.2%) | (0.921.75 -3.25) | 0.080 |
Overdominant |
||||
CC-TT | 240 (63.3%) | 84(57.1%) | 1 | |
CT | 139 (36.7%) | 63(42.9%) | (0.881.29 -1.91) | 0.191 |
C | 536 (74.3%) | 195 (66.3%) | 1 | |
T | 195 (25.7%) | 99(33.7%) | (1.041.40 -1.87) | 0.025 |
Specifically, under the dominant model, the carriers of the T allele (CT+TT) had a 1.56 times higher chance of being a swimmer (95%CI 1.06-2.29) than the CC homozygotes. The finding was confirmed in an allelic association, where the T allele was overrepresented in the SDS compared with controls (33.7% vs. 25.7%,
Comparison of LDS and control individuals (genotypes and alleles)
Genotype | Controls (n=379) | LDS (n=49) | OR (95 % CI) | |
---|---|---|---|---|
DOM |
||||
CC | 212 55.9%) | 25 (51.0%) | 1 | 0.515 |
CT-TT | (44.1167 %) | 24 (49.0%) | (0.671.22 -2.22) | |
REC |
||||
CC-CT | 351 (92.6%) | 44 (89.8%) | 1 | 0.489 |
TT | 28 (7.4%) | 5 (10.2%) | (0.471.42 -3.60) | |
OVER |
||||
CC-TT | 240 (63.3%) | 30 (61.2%) | 1 | 0.774 |
CT | (36.7139 %) | 19 (38.8%) | (0.581.09 -2.00) | |
C | (74.3536 %) | 69 (70.4%) | 1 | |
T | (25.7195 %) | 29 (29.6%) | (0.731.16 -1.84) | 0.542 |
In the present study, we assessed the genotype distributions and the allele frequencies of the
The current status of research shows that the endurance athlete status remains the most studied trait in sports genomics. A literature search revealed at least 100 endurance-related genetic markers. Less is known on genes responsible for power, sprint and short distance traits. The
An international consortium (GAMES) conducted the largest genome-wide association study connected with a meta-analysis in an attempt to establish promising genetic variants of endurance performance. Firstly, genome-wide association studies (GWAS) were performed on two cohorts of elite endurance athletes and controls (GENATHLETE and Japanese endurance runners), from which 45 molecular markers were chosen. Secondly, the authors conducted a meta-analysis of available studies for replication of the obtained results in seven added cohorts of 1520 endurance athletes and 2760 controls from Australia, Ethiopia, Japan, Kenya, Poland, Russia, and Spain. The one novel finding of the study was a statistically significant association between the
To date, a possible biological mechanism underlying the association between the
In summary, this study provides evidence for an association between the
Size and division of the study and control groups
Group | Females | Males | Total | |
---|---|---|---|---|
SDS (50 m - 200 m) | 67 | 80 | 147 | |
Swimmers | LDS (≥ 400 m) | 25 | 24 | 49 |
LDS + SDS | 93 | 104 | 197 | |
Controls | 157 | 222 | 379 |
Comparison of LDS and control individuals (genotypes and alleles)
Genotype | Controls (n=379) | LDS (n=49) | OR (95 % CI) | |
---|---|---|---|---|
DOM |
||||
CC | 212 55.9%) | 25 (51.0%) | 1 | 0.515 |
CT-TT | (44.1167 %) | 24 (49.0%) | (0.671.22 -2.22) | |
REC |
||||
CC-CT | 351 (92.6%) | 44 (89.8%) | 1 | 0.489 |
TT | 28 (7.4%) | 5 (10.2%) | (0.471.42 -3.60) | |
OVER |
||||
CC-TT | 240 (63.3%) | 30 (61.2%) | 1 | 0.774 |
CT | (36.7139 %) | 19 (38.8%) | (0.581.09 -2.00) | |
C | (74.3536 %) | 69 (70.4%) | 1 | |
T | (25.7195 %) | 29 (29.6%) | (0.731.16 -1.84) | 0.542 |
Comparison of SDS and control individuals (genotypes and alleles)
Genotype | Controls (n=379) | SDS (n=147) | OR (95 % CI) | |
---|---|---|---|---|
Dominant |
||||
CC | 212 (55.9%) | 66(44.9%) | 1 | |
CT-TT | 167 (44.1%) | 81(55.1%) | (1.061.56 -2.29) | |
Recessive |
||||
CC-CT | 351 (92.6%) | 129(87.8%) | 1 | |
TT | (7.428 %) | 18(12.2%) | (0.921.75 -3.25) | 0.080 |
Overdominant |
||||
CC-TT | 240 (63.3%) | 84(57.1%) | 1 | |
CT | 139 (36.7%) | 63(42.9%) | (0.881.29 -1.91) | 0.191 |
C | 536 (74.3%) | 195 (66.3%) | 1 | |
T | 195 (25.7%) | 99(33.7%) | (1.041.40 -1.87) | 0.025 |
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