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Similarity of polygenic profiles limits the potential for elite human physical performance
Human physical capability is influenced by many environmental and genetic factors, and it is generally accepted that physical capability phenotypes are highly polygenic. However, the ways relevant polymorphisms combine to influence physical capability of individuals and populations are unknown. Init...
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| Format: | Default Article |
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2008
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| Online Access: | https://hdl.handle.net/2134/16013 |
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| _version_ | 1818173353928687616 |
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| author | Alun G. Williams Jonathan Folland |
| author_facet | Alun G. Williams Jonathan Folland |
| author_sort | Alun G. Williams (7243763) |
| collection | Figshare |
| description | Human physical capability is influenced by many environmental and genetic factors, and it is generally accepted that physical capability phenotypes are highly polygenic. However, the ways relevant polymorphisms combine to influence physical capability of individuals and populations are unknown. Initially, the literature was searched to identify associations between 23 genetic polymorphisms and human endurance phenotypes. Next, typical genotype frequencies of those polymorphisms in the general population were obtained from suitable literature. Using probability calculations, we found only a 0.0005% chance of a single individual in the world having the ‘preferable’ form of all 23 polymorphisms. As the number of DNA variants shown to be associated with human endurance phenotypes continues to increase, the probability of any single individual possessing the ‘preferable’ form of each polymorphism will become even lower. However, with population turnover, the chance of such genetically gifted individuals existing increases. To examine the polygenic endurance potential of a human population, a ‘total genotype score’ (for the 23 polymorphisms) was calculated for each individual within a hypothetical population of 1,000,000. There was considerable homogeneity in terms of genetic predisposition to high endurance potential, with 99% of people differing by no more than seven genotypes from the typical profile. Consequently, with population turnover world and Olympic records should improve even without further enhancement of environmental factors, as more ‘advantageous’ polygenic profiles occasionally, though rarely, emerge. More broadly, human potential appears limited by the similarity of polygenic profiles at both the ‘elite sport’ and ‘chronic disorder’ ends of the performance continuum. |
| format | Default Article |
| id | rr-article-9621128 |
| institution | Loughborough University |
| publishDate | 2008 |
| record_format | Figshare |
| spelling | rr-article-96211282008-01-01T00:00:00Z Similarity of polygenic profiles limits the potential for elite human physical performance Alun G. Williams (7243763) Jonathan Folland (1254987) Other health sciences not elsewhere classified Complex phenotypes Polymorphisms Sport Medical and Health Sciences not elsewhere classified Human physical capability is influenced by many environmental and genetic factors, and it is generally accepted that physical capability phenotypes are highly polygenic. However, the ways relevant polymorphisms combine to influence physical capability of individuals and populations are unknown. Initially, the literature was searched to identify associations between 23 genetic polymorphisms and human endurance phenotypes. Next, typical genotype frequencies of those polymorphisms in the general population were obtained from suitable literature. Using probability calculations, we found only a 0.0005% chance of a single individual in the world having the ‘preferable’ form of all 23 polymorphisms. As the number of DNA variants shown to be associated with human endurance phenotypes continues to increase, the probability of any single individual possessing the ‘preferable’ form of each polymorphism will become even lower. However, with population turnover, the chance of such genetically gifted individuals existing increases. To examine the polygenic endurance potential of a human population, a ‘total genotype score’ (for the 23 polymorphisms) was calculated for each individual within a hypothetical population of 1,000,000. There was considerable homogeneity in terms of genetic predisposition to high endurance potential, with 99% of people differing by no more than seven genotypes from the typical profile. Consequently, with population turnover world and Olympic records should improve even without further enhancement of environmental factors, as more ‘advantageous’ polygenic profiles occasionally, though rarely, emerge. More broadly, human potential appears limited by the similarity of polygenic profiles at both the ‘elite sport’ and ‘chronic disorder’ ends of the performance continuum. 2008-01-01T00:00:00Z Text Journal contribution 2134/16013 https://figshare.com/articles/journal_contribution/Similarity_of_polygenic_profiles_limits_the_potential_for_elite_human_physical_performance/9621128 CC BY-NC-ND 4.0 |
| spellingShingle | Other health sciences not elsewhere classified Complex phenotypes Polymorphisms Sport Medical and Health Sciences not elsewhere classified Alun G. Williams Jonathan Folland Similarity of polygenic profiles limits the potential for elite human physical performance |
| title | Similarity of polygenic profiles limits the potential for elite human physical performance |
| title_full | Similarity of polygenic profiles limits the potential for elite human physical performance |
| title_fullStr | Similarity of polygenic profiles limits the potential for elite human physical performance |
| title_full_unstemmed | Similarity of polygenic profiles limits the potential for elite human physical performance |
| title_short | Similarity of polygenic profiles limits the potential for elite human physical performance |
| title_sort | similarity of polygenic profiles limits the potential for elite human physical performance |
| topic | Other health sciences not elsewhere classified Complex phenotypes Polymorphisms Sport Medical and Health Sciences not elsewhere classified |
| url | https://hdl.handle.net/2134/16013 |