| id |
c8757247-ddd6-4ca9-a551-814a4027d203 |
| user_id |
8684964a-bab1-4235-93a8-5fd5e24a1d0a |
| job_id |
ejgntayw-8430 |
| base_model_name |
xevyo |
| base_model_path |
/home/sid/tuning/finetune/backend/output/xevyo-bas /home/sid/tuning/finetune/backend/output/xevyo-base-v1/merged_fp16_hf... |
| model_name |
Genomic information |
| model_desc |
“Genomic information in the decision |
| model_path |
/home/sid/tuning/finetune/backend/output/ejgntayw- /home/sid/tuning/finetune/backend/output/ejgntayw-8430/merged_fp16_hf... |
| source_model_name |
xevyo |
| source_model_path |
/home/sid/tuning/finetune/backend/output/xevyo-bas /home/sid/tuning/finetune/backend/output/xevyo-base-v1/merged_fp16_hf... |
| source_job_id |
xevyo-base-v1 |
| dataset_desc |
Description
This case report explains how genet Description
This case report explains how genetic information was used to guide training decisions for a high-performance open-water swimmer. The study focuses on how combining genomic data with training load monitoring can help personalize training, improve performance, and reduce injury risk.
The athlete was a 23-year-old elite swimmer aiming to qualify for the World Championships. Although already successful, the athlete wanted to optimize training strategies. Researchers analyzed 20 genetic polymorphisms related to muscle function, endurance, strength, recovery, inflammation, and injury risk. These genetic results were then used to adjust training methods over a one-year period.
Purpose of the Study
To show how genetic information can be applied in real training decisions
To personalize strength and endurance training
To improve performance while managing fatigue and injury risk
To bridge the gap between genetic research and practical sports training
Key Concepts Explained
Genetic Profiles
The genes were grouped into two main profiles:
Trainability profile: how the athlete responds immediately to training
Adaptation profile: how the athlete adapts over time to training loads
These profiles helped guide decisions about:
training intensity
training volume
strength vs endurance focus
recovery strategies
Training Adjustments
Based on genetic results:
Endurance training volume was increased
Strength training was carefully periodized
Training phases included:
strength endurance
maximal strength
power development
Training load was continuously monitored using workload ratios to avoid overtraining
Performance Outcomes
The athlete improved performance significantly over the year
Qualified for the World Championships
Showed better strength, power, and endurance development
No major injury setbacks occurred during the program
Importance of Training Load Monitoring
Acute and chronic workload ratios were tracked
Helped balance training stress and recovery
Prevented excessive fatigue and injury risk
Supported safe performance improvements
Ethical Considerations
Genetic information was used responsibly
Athlete consent was obtained
Genetic data was used to support development, not to exclude or label the athlete
Emphasizes privacy and ethical use of genetic data
Limitations
Study involved only one athlete
Results cannot be generalized to all athletes
More large-scale studies are needed
Key Points
Athletic performance is influenced by genetics and training
Genetic data can help personalize training programs
Training response varies between individuals
Load monitoring is essential for safe adaptation
Genetics should support coaching decisions, not replace them
Easy Explanation
Every athlete responds differently to training. This study shows that understanding an athlete’s genetic traits can help coaches adjust training intensity, recovery, and strength work. When combined with careful monitoring, this approach can improve performance while reducing injury risk.
One-Line Summary
Using genetic information alongside training monitoring can help personalize elite athlete training and improve performance safely
41 Genomics information in the …
in the end you need to ask to user
If you want next, I can:
turn this into MCQs or short questions
create presentation slides
simplify it further for exam answers
extract only key points or headings
Just tell me what you need.... |
| dataset_meta |
{"input_type": "file", "source {"input_type": "file", "source": "/home/sid/tuning/finetune/backend/output/ejgntayw-8430/data/document.pdf", "num_examples": 168, "bad_lines": 0}... |
| dataset_path |
/home/sid/tuning/finetune/backend/output/ejgntayw- /home/sid/tuning/finetune/backend/output/ejgntayw-8430/data/ejgntayw-8430.json... |
| training_output |
null |
| status |
queued |
| created_at |
1766259623 |
| updated_at |
1766260265 |
| source_adapter_path |
NULL |
| adapter_path |
/home/sid/tuning/finetune/backend/output/ejgntayw- /home/sid/tuning/finetune/backend/output/ejgntayw-8430/adapter... |
| plugged_in |
False |