Our imputation service provides high accuracy for expanding your genetic data:
Overall Accuracy:
- General accuracy range: 95-99%
- Common variants: 98-99% accurate
- Less common variants: 90-95% accurate
- Rare variants: 85-90% accurate
Factors Affecting Accuracy:
1. Ancestry Background:
| Ancestry | Typical Accuracy |
|---|---|
| European | 97-99% |
| East Asian | 96-98% |
| African | 94-97% |
| South Asian | 95-98% |
| Native American | 92-95% |
| Mixed | 94-97% |
2. Reference Populations:
- We use comprehensive reference panels:
- 1000 Genomes Project
- HapMap databases
- Population-specific references
- Latest genetic research data
3. Original File Quality:
- High-quality chips (Illumina GSA): Best accuracy
- Older chips: Slightly lower accuracy
- More SNPs in original file: Better imputation
What Accuracy Means:
- 95% accuracy = 95 out of 100 imputed SNPs are correct
- For 30 million imputed SNPs, 28.5-29.7 million are accurate
- Common variants (found in many people) are most accurate
- Rare variants have more uncertainty
Quality Scores:
- Each imputed SNP includes a quality/confidence score
- High-confidence SNPs can be trusted like genotyped SNPs
- Low-confidence SNPs are flagged for careful interpretation
Scientific Validation:
- Our methods based on peer-reviewed research
- Continuously validated against new data
- Regularly updated with improved algorithms
- Comparable to academic and clinical imputation
Use Cases:
- Ancestry analysis: High accuracy for admixture and ethnicity
- Trait predictions: Reliable for most common traits
- Research: Suitable for population studies
- Exploration: Excellent for genetic discovery
Note: Imputation is a prediction, not direct testing. For critical medical decisions, direct genotyping or sequencing is recommended.