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Biology
Genetics and Genomics
Statistical Genetics and Genomics
1. Foundations of Statistical Genetics
2. Population Genetics Principles
3. Quantitative Genetics
4. Linkage Analysis and Gene Mapping
5. Association Studies
6. Genome-Wide Association Studies
7. Post-GWAS Analysis
8. Next-Generation Sequencing in Genetics
9. Advanced Statistical Methods
10. Specialized Applications
11. Computational Tools and Resources
Advanced Statistical Methods
Polygenic Risk Scores
PRS Construction Methods
Clumping and Thresholding
Bayesian Methods
Machine Learning Approaches
SNP Selection Strategies
P-value Thresholds
LD Pruning
Functional Prioritization
Weighting Schemes
Effect Size Weighting
Inverse Variance Weighting
Bayesian Weighting
PRS Validation
Cross-Validation
Independent Validation
Transferability Across Populations
Clinical Applications
Risk Stratification
Personalized Medicine
Ethical Considerations
Mendelian Randomization
Principles and Assumptions
Instrumental Variable Framework
Three Core Assumptions
Violation Detection
Single-Instrument MR
Wald Ratio Method
Confidence Intervals
Weak Instrument Bias
Multiple-Instrument MR
Inverse Variance Weighted Method
MR-Egger Regression
Weighted Median Method
Two-Sample MR
Summary Statistics Approach
Data Harmonization
Population Matching
Sensitivity Analysis
Pleiotropy Detection
Outlier Detection
Robust Methods
Transcriptome-Wide Association Studies
Gene Expression Imputation
Reference Panels
Prediction Models
Cross-Validation
TWAS Statistical Framework
Association Testing
Multiple Testing Correction
Conditional Analysis
Integration with GWAS
Colocalization Analysis
Fine-Mapping Integration
Causal Gene Identification
Multi-Omics Integration
Data Types and Platforms
Genomics Data
Transcriptomics Data
Epigenomics Data
Proteomics Data
Metabolomics Data
Integration Strategies
Early Integration
Intermediate Integration
Late Integration
Network-Based Approaches
Multi-Layer Networks
Network Propagation
Module Detection
Machine Learning Methods
Dimensionality Reduction
Feature Selection
Ensemble Methods
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8. Next-Generation Sequencing in Genetics
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10. Specialized Applications