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Elite athletes’ genetic predisposition for altered risk of complex metabolic traits

Overview of attention for article published in BMC Genomics, January 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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9 X users
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Title
Elite athletes’ genetic predisposition for altered risk of complex metabolic traits
Published in
BMC Genomics, January 2015
DOI 10.1186/s12864-014-1199-0
Pubmed ID
Authors

Lauren K Banting, Vladimir P Pushkarev, Pawel Cieszczyk, Aleksandra Zarebska, Agnieszka Maciejewska-Karlowska, M-arek Sawczuk, Agata Leońska-Duniec, Dmitry A Dyatlov, Evgeniy F Orekhov, Aleksandr V Degtyarev, Yuliya E Pushkareva, Xu Yan, Ruth Birk, Nir Eynon

Abstract

BackgroundGenetic 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 <0.041), and non-athletic controls were significantly less likely to have the T allele compared to sprint/power athletes (OR =0.62, 95% CI =0.43-0.89, P <0.0009). The control group was significantly more likely to have the LPL rs320 risk (G) allele compared to endurance athletes (OR¿=¿1.26, 95% CI =1.05-1.52, P <0.013). Hence, endurance athletes were the ¿protected¿ group being significantly (p¿<¿0.05) less likely to have the risk allele compared to sprint/power athletes (IGF2BP2 rs4402960) and significantly (p¿<¿0.05) less likely to have the risk allele compared to controls (LPL rs320). The other 3 SNPs did not show significant differences between the study groups.ConclusionsMale endurance athletes are less likely to have the metabolic risk alleles of IGF2BP2 rs4402960 and LPL rs320, compared to sprint/power athletes and controls, respectively. These results suggest that some SNPs across the human genome have a dual effect and may predispose endurance athletes to reduced risk of developing metabolic morbidities, whereas sprint/power athletes might be predisposed to elevated risk.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
India 1 <1%
Unknown 98 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 22%
Student > Master 12 12%
Other 9 9%
Student > Ph. D. Student 8 8%
Student > Doctoral Student 8 8%
Other 20 20%
Unknown 22 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 15%
Agricultural and Biological Sciences 12 12%
Medicine and Dentistry 12 12%
Nursing and Health Professions 9 9%
Sports and Recreations 9 9%
Other 18 18%
Unknown 26 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 January 2023.
All research outputs
#5,809,457
of 23,510,717 outputs
Outputs from BMC Genomics
#2,344
of 10,786 outputs
Outputs of similar age
#76,581
of 354,888 outputs
Outputs of similar age from BMC Genomics
#64
of 264 outputs
Altmetric has tracked 23,510,717 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,786 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 354,888 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 264 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.