NAG Whole Genome Testing

1. From Disease Treatment to Precision Prevention

Whole genome testing enables the identification of potential genetic risks before symptoms appear, helping to develop more precise early screening and prevention strategies, such as:

• Targeted early cancer screening
• Enhanced cardiovascular monitoring and risk management

2. Explanation of Unexplained Symptoms

For patients experiencing long-term unexplained symptoms, whole exome sequencing may help identify rare genetic variants or underlying pathogenic mechanisms.

3. Improved Medication Safety

Through pharmacogenomic analysis, this test can:

• Reduce the risk of adverse drug reactions (ADR)
• Evaluate anesthesia-related risks prior to surgery
• Provide personalized medication guidance for chronic disease management

4. Personalized Health Management

Based on an individual’s genetic characteristics, the test can help:

• Optimize dietary structure
• Precisely supplement essential nutrients
• Avoid unnecessary or ineffective use of health supplements

Comprehensive Evaluation Across Four Core Systems

1. Disease Risk Analysis

The test evaluates the risk of over 10,000 diseases, covering 13 major physiological systems, including:

• Oncology (Cancer System)
• Cardiovascular System
• Digestive System
• Endocrine System

The report focuses primarily on genetic variants with clear clinical significance. Typically, it highlights approximately 6–10 high-priority risks, allowing clients to focus on the most important areas and develop targeted prevention strategies.

2. Pharmacogenomics

The test evaluates more than 700 commonly used clinical medications and predicts:

• Drug metabolism rate
• Variability in treatment efficacy
• Potential risk of drug-related side effects

This provides a scientific basis for precision medication management, including medications such as:

• Anticoagulants
• Anesthetic agents
• Psychiatric medications
• Antihypertensive medications

NAG testing is not merely a genetic risk indicator, but a comprehensive precision health assessment system, consisting of four core modules.

3. Lifestyle Optimization

Using genetic data, the system analyzes individual physiological traits to guide personalized health management, including:

• Dietary genetic characteristics
• Nutritional and supplement requirements

4. Optimal Longevity Plan

Based on an individual’s genetic data and health risk assessment, AI analyzes global medical research to design personalized health strategies, including recommendations for:

• Diet
• Nutrition
• Physical activity
• Lifestyle management

This approach helps optimize longevity planning, identify the most suitable lifestyle patterns, and proactively reduce potential health risks—supporting long-term health and longevity management.