| Title |
Y chromosome haplogroups of elite Ethiopian endurance runners
|
|---|---|
| Published in |
Human Genetics, October 2004
|
| DOI | 10.1007/s00439-004-1202-y |
| Pubmed ID | |
| Authors |
Colin N. Moran, Robert A. Scott, Susan M. Adams, Samantha J. Warrington, Mark A. Jobling, Richard H. Wilson, William H. Goodwin, Evelina Georgiades, Bezabhe Wolde, Yannis P. Pitsiladis |
| Abstract |
Favourable genetic endowment has been proposed as part of the explanation for the success of East African endurance athletes, but no evidence has yet been presented. The Y chromosome haplogroup distribution of elite Ethiopian athletes (n=62) was compared with that of the general Ethiopian population (n=95) and a control group from Arsi (a region producing a disproportionate number of athletes; n=85). Athletes belonged to three groups: marathon runners (M; n=23), 5-km to 10-km runners (5-10K; n=21) and other track and field athletes (TF; n=18). DNA was extracted from buccal swabs and haplogroups were assigned after the typing of binary markers in multiplexed minisequencing reactions. Frequency differences between groups were assessed by using contingency exact tests and showed that Y chromosome haplogroups are not distributed amongst elite Ethiopian endurance runners in the same proportions as in the general population, with statistically significant (P<0.05) differences being found in four of the individual haplogroups. The geographical origins and languages of the athletes and controls suggest that these differences are less likely to be a reflection of population structure and that Y chromosome haplogroups may play a significant role in determining Ethiopian endurance running success. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Algeria | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 8 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Germany | 1 | 1% |
| Unknown | 67 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 21% |
| Student > Master | 10 | 14% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Other | 3 | 4% |
| Other | 14 | 20% |
| Unknown | 12 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 33% |
| Sports and Recreations | 13 | 19% |
| Medicine and Dentistry | 8 | 11% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Psychology | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 16 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 19 March 2024.
All research outputs
#1,716,756
of 25,517,918 outputs
Outputs from Human Genetics
#124
of 2,965 outputs
Outputs of similar age
#2,236
of 75,846 outputs
Outputs of similar age from Human Genetics
#1
of 11 outputs
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