Simultaneous SNP selection and adjustment for population structure in high dimensional prediction models

Keyphrases

• Prediction Model 100%
• SNP Selection 100%
• High-dimensional Prediction 100%
• Population Structure 100%
• Two-stage Approach 66%
• Linear Mixed Model 66%
• Sampling numbers 33%
• Statistical Power 33%
• Prediction Accuracy 33%
• Computationally Efficient 33%
• Environmental Factors 33%
• Multivariate Association 33%
• Parsimonious Models 33%
• Block Coordinate Descent 33%
• Random Effects 33%
• Mendelian Randomization 33%
• Kinship Matrix 33%
• Statistical Confounding 33%
• Component Adjustment 33%
• Complex Traits 33%
• Polygenic Risk Score 33%
• Causal SNP 33%
• Common Genetic Variants 33%
• Fixed Effects 33%
• Automatic Tuning Parameter Selection 33%
• High-dimensional Setting 33%
• Rare Genetic Variants 33%
• Null Model 33%
• Coordinate Descent Algorithm 33%
• Penalized Regression 33%
• Relationship Structure 33%

Mathematics

• Statistical Power 100%
• Matrix (Mathematics) 100%
• Real Data 100%
• Regression Model 100%
• Method Performs 100%
• Residuals 100%
• False Negative 100%
• Principal Component 100%
• Random Effect 100%
• Confounding 100%
• Null 100%

Biochemistry, Genetics and Molecular Biology

• Single Nucleotide Polymorphism 100%
• Population Structure 100%
• Genetic Divergence 33%
• Relatedness 33%
• Polygenic Score 33%
• Mendelian Randomization 33%