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Elite athletes’ genetic predisposition for altered risk of complex metabolic traits
- Source :
- BMC Genomics
- Publication Year :
- 2015
- Publisher :
- Springer Science and Business Media LLC, 2015.
-
Abstract
- Background Genetic variants may predispose humans to elevated risk of common metabolic morbidities such as obesity and Type 2 Diabetes (T2D). Some of these variants have also been shown to influence elite athletic performance and the response to exercise training. We compared the genotype distribution of five genetic Single Nucleotide Polymorphisms (SNPs) known to be associated with obesity and obesity co-morbidities (IGF2BP2 rs4402960, LPL rs320, LPL rs328, KCJN rs5219, and MTHFR rs1801133) between athletes (all male, n = 461; endurance athletes n = 254, sprint/power athletes n = 207), and controls (all male, n = 544) in Polish and Russian samples. We also examined the association between these SNPs and the athletes’ competition level (‘elite’ and ‘national’ level). Genotypes were analysed by Single-Base Extension and Real-Time PCR. Multinomial logistic regression analyses were conducted to assess the association between genotypes and athletic status/competition level. Results IGF2BP2 rs4402960 and LPL rs320 were significantly associated with athletic status; sprint/power athletes were twice more likely to have the IGF2BP2 rs4402960 risk (T) allele compared to endurance athletes (OR = 2.11, 95% CI = 1.03-4.30, P
- Subjects :
- Adult
Male
Risk
medicine.medical_specialty
Genotype
Single-nucleotide polymorphism
Type 2 diabetes
Bioinformatics
Polymorphism, Single Nucleotide
Young Adult
Gene Frequency
Internal medicine
Odds Ratio
Genetics
Genetic predisposition
medicine
Humans
Genetic Predisposition to Disease
Obesity
Allele
Exercise
Alleles
Methylenetetrahydrofolate Reductase (NADPH2)
biology
Athletes
RNA-Binding Proteins
biology.organism_classification
medicine.disease
Lipoprotein Lipase
Phenotype
Genes
Diabetes Mellitus, Type 2
Sprint
Methylenetetrahydrofolate reductase
biology.protein
Research Article
Biotechnology
Subjects
Details
- ISSN :
- 14712164
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- BMC Genomics
- Accession number :
- edsair.doi.dedup.....ade2a89024c802a755728640daefafd0
- Full Text :
- https://doi.org/10.1186/s12864-014-1199-0