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Hall ECR, Lockey SJ, Heffernan SM, Herbert AJ, Stebbings GK, Day SH, Collins M, Pitsiladis YP, Erskine RM, Williams AG. The PPARGC1A Gly482Ser polymorphism is associated with elite long-distance running performance. J Sports Sci 2023; 41:56-62. [PMID: 37012221 DOI: 10.1080/02640414.2023.2195737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Success in long-distance running relies on multiple factors including oxygen utilisation and lactate metabolism, and genetic associations with athlete status suggest elite competitors are heritably predisposed to superior performance. The Gly allele of the PPARGC1A Gly482Ser rs8192678 polymorphism has been associated with endurance athlete status and favourable aerobic training adaptations. However, the association of this polymorphism with performance amongst long-distance runners remains unclear. Accordingly, this study investigated whether rs8192678 was associated with elite status and competitive performance of long-distance runners. Genomic DNA from 656 Caucasian participants including 288 long-distance runners (201 men, 87 women) and 368 non-athletes (285 men, 83 women) was analysed. Medians of the 10 best UK times (Top10) for 10 km, half-marathon and marathon races were calculated, with all included athletes having personal best (PB) performances within 20% of Top10 (this study's definition of "elite"). Genotype and allele frequencies were compared between athletes and non-athletes, and athlete PB compared between genotypes. There were no differences in genotype frequency between athletes and non-athletes, but athlete Ser allele carriers were 2.5% faster than Gly/Gly homozygotes (p = 0.030). This study demonstrates that performance differences between elite long-distance runners are associated with rs8192678 genotype, with the Ser allele appearing to enhance performance.
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Affiliation(s)
- Elliott C R Hall
- Department of Sport and Exercise Sciences, Manchester Metropolitan Institute of Sport, Manchester Metropolitan University, Manchester, UK
- School of Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Sarah J Lockey
- Faculty of Health, Education, Medicine and Social Care, Anglia Ruskin University, Chelmsford, UK
| | - Shane M Heffernan
- Applied Sports, Technology, Exercise and Medicine Research Centre (A-STEM), Faculty of Science and Engineering, Swansea University, Swansea, UK
| | - Adam J Herbert
- School of Health Sciences, Birmingham City University, Birmingham, UK
| | - Georgina K Stebbings
- Department of Sport and Exercise Sciences, Manchester Metropolitan Institute of Sport, Manchester Metropolitan University, Manchester, UK
| | - Stephen H Day
- School of Medicine and Clinical Practice, Faculty of Science and Engineering, University of Wolverhampton, Wolverhampton, UK
| | - Malcolm Collins
- Health through Physical Activity, Lifestyle and Sport Research Centre (HPALS), Department of Human Biology, and the International Federation of Sports Medicine (FIMS) Collaborative Centre of Sports Medicine, University of Cape Town, Cape Town, South Africa
| | - Yannis P Pitsiladis
- Centre for Stress and Age-related Disease, University of Brighton, Brighton, UK
- Centre for Exercise Sciences and Sports Medicine, FIMS Collaborating Centre of Sports Medicine, Rome, Italy
| | - Robert M Erskine
- School of Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
- Institute of Sport, Exercise and Health, University College London, London, UK
| | - Alun G Williams
- Department of Sport and Exercise Sciences, Manchester Metropolitan Institute of Sport, Manchester Metropolitan University, Manchester, UK
- Applied Sports, Technology, Exercise and Medicine Research Centre (A-STEM), Faculty of Science and Engineering, Swansea University, Swansea, UK
- Institute of Sport, Exercise and Health, University College London, London, UK
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Dines HR, Nixon J, Lockey SJ, Herbert AJ, Kipps C, Pedlar CR, Day SH, Heffernan SM, Antrobus MR, Brazier J, Erskine RM, Stebbings GK, Hall ECR, Williams AG. Collagen Gene Polymorphisms Previously Associated with Resistance to Soft-Tissue Injury Are More Common in Competitive Runners Than Nonathletes. J Strength Cond Res 2023; 37:799-805. [PMID: 36763468 DOI: 10.1519/jsc.0000000000004291] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
ABSTRACT Dines, HR, Nixon, J, Lockey, SJ, Herbert, AJ, Kipps, C, Pedlar, CR, Day, SH, Heffernan, SM, Antrobus, MR, Brazier, J, Erskine, RM, Stebbings, GK, Hall, ECR, and Williams, AG. Collagen gene polymorphisms previously associated with resistance to soft-tissue injury are more common in competitive runners than nonathletes. J Strength Cond Res 37(4): 799-805, 2023-Single-nucleotide polymorphisms (SNPs) of collagen genes have been associated with soft-tissue injury and running performance. However, their combined contribution to running performance is unknown. We investigated the association of 2 collagen gene SNPs with athlete status and performance in 1,429 Caucasian subjects, including 597 competitive runners (354 men and 243 women) and 832 nonathletes (490 men and 342 women). Genotyping for COL1A1 rs1800012 (C > A) and COL5A1 rs12722 (C > T) SNPs was performed by a real-time polymerase chain reaction. The numbers of "injury-resistant" alleles from each SNP, based on previous literature (rs1800012 A allele and rs12722 C allele), were combined as an injury-resistance score (RScore, 0-4; higher scores indicate injury resistance). Genotype frequencies, individually and combined as an RScore, were compared between cohorts and investigated for associations with performance using official race times. Runners had 1.34 times greater odds of being rs12722 CC homozygotes than nonathletes (19.7% vs. 15.5%, p = 0.020) with no difference in the rs1800012 genotype distribution ( p = 0.659). Fewer runners had an RScore 0 of (18.5% vs. 24.7%) and more had an RScore of 4 (0.6% vs. 0.3%) than nonathletes ( p < 0.001). Competitive performance was not associated with the COL1A1 genotype ( p = 0.933), COL5A1 genotype ( p = 0.613), or RScore ( p = 0.477). Although not associated directly with running performance among competitive runners, a higher combined frequency of injury-resistant COL1A1 rs1800012 A and COL5A1 rs12722 C alleles in competitive runners than nonathletes suggests these SNPs may be advantageous through a mechanism that supports, but does not directly enhance, running performance.
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Affiliation(s)
- Hannah R Dines
- Department of Sport and Exercise Sciences, Manchester Metropolitan University Institute of Sport, Manchester Metropolitan University, Manchester, United Kingdom
| | - Jennifer Nixon
- Department of Sport and Exercise Sciences, Manchester Metropolitan University Institute of Sport, Manchester Metropolitan University, Manchester, United Kingdom
| | - Sarah J Lockey
- School of Medicine, Facutly of Health, Education, Medicine and Social Care, Anglia Ruskin University, Chelmsford, United Kingdom
| | - Adam J Herbert
- Department of Sport and Exercise, Research Center for Life and Sport Sciences (CLaSS), School of Health Sciences, Birmingham City University, Birmingham, United Kingdom
| | - Courtney Kipps
- Institute of Sport, Exercise and Health, University College London, London, United Kingdom
| | - Charles R Pedlar
- Institute of Sport, Exercise and Health, University College London, London, United Kingdom
- Faculty of Sport, Allied Health and Performance Science, St Mary's University, Twickenham, United Kingdom
| | - Stephen H Day
- School of Medicine and Clinical Practice, University of Wolverhampton, Wolverhampton, United Kingdom
| | - Shane M Heffernan
- Applied Sports, Technology, Exercise and Medicine Research Centre (A-STEM), College of Engineering, Swansea University, Swansea, United Kingdom
| | - Mark R Antrobus
- Department of Sport and Exercise Sciences, Manchester Metropolitan University Institute of Sport, Manchester Metropolitan University, Manchester, United Kingdom
- Department of Sport, Exercise and Life Sciences, University of Northampton, Northampton, United Kingdom
| | - Jon Brazier
- Department of Sport and Exercise Sciences, Manchester Metropolitan University Institute of Sport, Manchester Metropolitan University, Manchester, United Kingdom
- Department of Psychology and Sports Sciences, University of Hertfordshire, Hatfield, United Kingdom ; and
| | - Robert M Erskine
- Institute of Sport, Exercise and Health, University College London, London, United Kingdom
- School of Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Georgina K Stebbings
- Department of Sport and Exercise Sciences, Manchester Metropolitan University Institute of Sport, Manchester Metropolitan University, Manchester, United Kingdom
| | - Elliott C R Hall
- Department of Sport and Exercise Sciences, Manchester Metropolitan University Institute of Sport, Manchester Metropolitan University, Manchester, United Kingdom
| | - Alun G Williams
- Department of Sport and Exercise Sciences, Manchester Metropolitan University Institute of Sport, Manchester Metropolitan University, Manchester, United Kingdom
- Institute of Sport, Exercise and Health, University College London, London, United Kingdom
- Faculty of Sport, Allied Health and Performance Science, St Mary's University, Twickenham, United Kingdom
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Genetic Polymorphisms Related to VO2max Adaptation Are Associated With Elite Rugby Union Status and Competitive Marathon Performance. Int J Sports Physiol Perform 2021; 16:1858-1864. [PMID: 34088882 DOI: 10.1123/ijspp.2020-0856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 02/19/2021] [Accepted: 03/23/2021] [Indexed: 11/18/2022]
Abstract
PURPOSE Genetic polymorphisms have been associated with the adaptation to training in maximal oxygen uptake (V˙O2max). However, the genotype distribution of selected polymorphisms in athletic cohorts is unknown, with their influence on performance characteristics also undetermined. This study investigated whether the genotype distributions of 3 polymorphisms previously associated with V˙O2max training adaptation are associated with elite athlete status and performance characteristics in runners and rugby athletes, competitors for whom aerobic metabolism is important. METHODS Genomic DNA was collected from 732 men including 165 long-distance runners, 212 elite rugby union athletes, and 355 nonathletes. Genotype and allele frequencies of PRDM1 rs10499043 C/T, GRIN3A rs1535628 G/A, and KCNH8 rs4973706 T/C were compared between athletes and nonathletes. Personal-best marathon times in runners, as well as in-game performance variables and playing position, of rugby athletes were analyzed according to genotype. RESULTS Runners with PRDM1 T alleles recorded marathon times ∼3 minutes faster than CC homozygotes (02:27:55 [00:07:32] h vs 02:31:03 [00:08:24] h, P = .023). Rugby athletes had 1.57 times greater odds of possessing the KCNH8 TT genotype than nonathletes (65.5% vs 54.7%, χ2 = 6.494, P = .013). No other associations were identified. CONCLUSIONS This study is the first to demonstrate that polymorphisms previously associated with V˙O2max training adaptations in nonathletes are also associated with marathon performance (PRDM1) and elite rugby union status (KCNH8). The genotypes and alleles previously associated with superior endurance-training adaptation appear to be advantageous in long-distance running and achieving elite status in rugby union.
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Corpas M, Megy K, Mistry V, Metastasio A, Lehmann E. Whole Genome Interpretation for a Family of Five. Front Genet 2021; 12:535123. [PMID: 33763108 PMCID: PMC7982663 DOI: 10.3389/fgene.2021.535123] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 02/15/2021] [Indexed: 12/19/2022] Open
Abstract
Although best practices have emerged on how to analyse and interpret personal genomes, the utility of whole genome screening remains underdeveloped. A large amount of information can be gathered from various types of analyses via whole genome sequencing including pathogenicity screening, genetic risk scoring, fitness, nutrition, and pharmacogenomic analysis. We recognize different levels of confidence when assessing the validity of genetic markers and apply rigorous standards for evaluation of phenotype associations. We illustrate the application of this approach on a family of five. By applying analyses of whole genomes from different methodological perspectives, we are able to build a more comprehensive picture to assist decision making in preventative healthcare and well-being management. Our interpretation and reporting outputs provide input for a clinician to develop a healthcare plan for the individual, based on genetic and other healthcare data.
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Affiliation(s)
- Manuel Corpas
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, United Kingdom.,Institute of Continuing Education Madingley Hall Madingley, University of Cambridge, Cambridge, United Kingdom.,Facultad de Ciencias de la Salud, Universidad Internacional de La Rioja, Madrid, Spain
| | - Karyn Megy
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, United Kingdom.,Department of Haematology, University of Cambridge & National Health Service (NHS) Blood and Transplant, Cambridge, United Kingdom
| | | | - Antonio Metastasio
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, United Kingdom.,Camden and Islington NHS Foundation Trust, London, United Kingdom
| | - Edmund Lehmann
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, United Kingdom
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