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No association between ACTN3 R577X and ACE I/D polymorphisms and endurance running times in 698 Caucasian athletes

Overview of attention for article published in BMC Genomics, January 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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37 tweeters

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31 Dimensions

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89 Mendeley
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Title
No association between ACTN3 R577X and ACE I/D polymorphisms and endurance running times in 698 Caucasian athletes
Published in
BMC Genomics, January 2018
DOI 10.1186/s12864-017-4412-0
Pubmed ID
Authors

Ioannis D. Papadimitriou, Sarah J. Lockey, Sarah Voisin, Adam J. Herbert, Fleur Garton, Peter J. Houweling, Pawel Cieszczyk, Agnieszka Maciejewska-Skrendo, Marek Sawczuk, Myosotis Massidda, Carla Maria Calò, Irina V. Astratenkova, Anastasia Kouvatsi, Anastasiya M. Druzhevskaya, Macsue Jacques, Ildus I. Ahmetov, Georgina K. Stebbings, Shane Heffernan, Stephen H. Day, Robert Erskine, Charles Pedlar, Courtney Kipps, Kathryn N. North, Alun G. Williams, Nir Eynon

Abstract

Studies investigating associations between ACTN3 R577X and ACE I/D genotypes and endurance athletic status have been limited by small sample sizes from mixed sport disciplines and lack quantitative measures of performance. To examine the association between ACTN3 R577X and ACE I/D genotypes and best personal running times in a large homogeneous cohort of endurance runners. We collected a total of 1064 personal best 1500, 3000, 5000 m and marathon running times of 698 male and female Caucasian endurance athletes from six countries (Australia, Greece, Italy, Poland, Russia and UK). Athletes were genotyped for ACTN3 R577X and ACE ID variants. There was no association between ACTN3 R577X or ACE I/D genotype and running performance at any distance in men or women. Mean (SD) marathon times (in s) were for men: ACTN3 RR 9149 (593), RX 9221 (582), XX 9129 (582) p = 0.94; ACE DD 9182 (665), ID 9214 (549), II 9155 (492) p = 0.85; for women: ACTN3 RR 10796 (818), RX 10667 (695), XX 10675 (553) p = 0.36; ACE DD 10604 (561), ID 10766 (740), II 10771 (708) p = 0.21. Furthermore, there were no associations between these variants and running time for any distance in a sub-analysis of athletes with personal records within 20% of world records. Thus, consistent with most case-control studies, this multi-cohort quantitative analysis demonstrates it is unlikely that ACTN3 XX genotype provides an advantage in competitive endurance running performance. For ACE II genotype, some prior studies show an association but others do not. Our data indicate it is also unlikely that ACE II genotype provides an advantage in endurance running.

Twitter Demographics

The data shown below were collected from the profiles of 37 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 19%
Student > Bachelor 9 10%
Student > Doctoral Student 9 10%
Researcher 7 8%
Student > Ph. D. Student 6 7%
Other 20 22%
Unknown 21 24%
Readers by discipline Count As %
Sports and Recreations 26 29%
Medicine and Dentistry 14 16%
Biochemistry, Genetics and Molecular Biology 9 10%
Agricultural and Biological Sciences 7 8%
Nursing and Health Professions 3 3%
Other 9 10%
Unknown 21 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 16 April 2018.
All research outputs
#1,144,362
of 19,315,866 outputs
Outputs from BMC Genomics
#256
of 9,771 outputs
Outputs of similar age
#36,595
of 426,693 outputs
Outputs of similar age from BMC Genomics
#28
of 823 outputs
Altmetric has tracked 19,315,866 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,771 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 97% 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 426,693 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 823 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.