REGENIE
两阶段回归框架的大规模关联分析工具，先用全基因组回归预测个体的基因背景， 再进行逐位点的关联检验。该方法计算效率极高，适用于百万级别的生物银行数据。
| Property | Value |
|---|---|
| Purpose | 两阶段大规模全基因组关联分析 |
| Time Complexity | O(n * m) |
| Space Complexity | O(n * m) |
| Year | 2021 |
| Difficulty | Intermediate |
| Languages | C++ |
| Category | Population Genetics |
Complexity Analysis
- Time Complexity:
O(n * m) - Space Complexity:
O(n * m)
Performance Insight: The time complexity of this algorithm is polynomial.
Note: Complexity analysis is based on theoretical models. Actual runtime is affected by input scale, hardware, and implementation optimizations. Benchmark for your specific workload.
Literature & Implementation
Related Tools
BOLT-LMM · SAIGE · GCTA