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Metabolic GWAS of elite athletes reveals novel genetically-influenced metabolites associated with athletic performance

Version 2 2024-11-24, 11:43
Version 1 2022-11-22, 21:17
journal contribution
posted on 2024-11-24, 11:43 authored by Fatima Al-Khelaifi, Ilhame Diboun, Francesco Donati, Francesco Botrè, David Abraham, Aroon Hingorani, Omar Albagha, Costas Georgakopoulos, Karsten Suhre, Noha A. Yousri, Mohamed A. Elrayess

Genetic research of elite athletic performance has been hindered by the complex phenotype and the relatively small effect size of the identified genetic variants. The aims of this study were to identify genetic predisposition to elite athletic performance by investigating genetically-influenced metabolites that discriminate elite athletes from non-elite athletes and to identify those associated with endurance sports. By conducting a genome wide association study with high-resolution metabolomics profiling in 490 elite athletes, common variant metabolic quantitative trait loci (mQTLs) were identified and compared with previously identified mQTLs in non-elite athletes. Among the identified mQTLs, those associated with endurance metabolites were determined. Two novel genetic loci in FOLH1 and VNN1 are reported in association with N-acetyl-aspartyl-glutamate and Linoleoyl ethanolamide, respectively. When focusing on endurance metabolites, one novel mQTL linking androstenediol (3alpha, 17alpha) monosulfate and SULT2A1 was identified. Potential interactions between the novel identified mQTLs and exercise are highlighted. This is the first report of common variant mQTLs linked to elite athletic performance and endurance sports with potential applications in biomarker discovery in elite athletic candidates, non-conventional anti-doping analytical approaches and therapeutic strategies.

Other Information

Published in: Scientific Reports
License: https://creativecommons.org/licenses/by/4.0
See article on publisher's website: http://dx.doi.org/10.1038/s41598-019-56496-7

Funding

Open access funding provided by the Qatar National Library.

History

Language

  • English

Publisher

Springer Nature

Publication Year

  • 2019

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Qatar University
  • Biomedical Research Center - QU
  • Anti-Doping Laboratory Qatar
  • Hamad Bin Khalifa University
  • College of Health and Life Sciences - HBKU
  • Weill Cornell Medicine - Qatar