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Updated: May 23, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Androgens and doping tests: genetic variation and pit-falls.
1Division of Clinical Pharmacology, Karolinska Institutet, Stockholm, Sweden. anders.rane@ki.se
Genetic variations significantly impact how the body processes anabolic steroids, affecting doping agent efficacy. Personalized testing, considering genetic factors and individual results, can improve accuracy in doping control programs.
Area of Science:
- Pharmacogenetics
- Sports Science
- Anti-Doping Research
Background:
- Drug disposition, including anabolic androgenic steroids, exhibits significant inter-individual variability.
- Genetic factors are the primary drivers of this variation in drug metabolism and response.
- This variability likely extends to the efficacy of doping agents used in sports.
Purpose of the Study:
- To investigate the role of genetic variability in the disposition and efficacy of anabolic androgenic steroids.
- To explore the implications of genetic variability on testosterone doping detection.
- To propose improvements to current doping control strategies based on genetic insights.
Main Methods:
- Analysis of genetic factors influencing metabolic pathways of testosterone and its derivatives.
- Review of existing data on inter- and intra-ethnic variations in testosterone glucuronidation and excretion.
- Evaluation of testosterone enanthate hydrolysis and bioactivation variability.
- Assessment of current doping control methodologies, including population-based cut-off levels.
Main Results:
- Genetic variability substantially influences the disposition and efficacy of testosterone, a common doping agent.
- Significant inter- and intra-ethnic variations exist in testosterone metabolism and excretion.
- Testosterone enanthate's hydrolysis and bioactivation show genetic variability, leading to 2-3 fold differences in excretion and serum levels.
- Current population-based cut-off levels for testosterone:epitestosterone ratios may be inadequate.
Conclusions:
- Genetic information should be integrated into doping control programs to enhance accuracy.
- Replacing population-based cut-offs with Bayesian interpretation of individual test results, combined with genetic data, improves test sensitivity.
- This integrated approach can reduce false positives/negatives and the need for costly follow-up tests, aligning with World Anti-Doping Agency goals.
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