Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions.

Abstract excerpt

Polygenic risk scores (PRS) aim to predict a trait from genetic information, relying on common genetic variants with low to medium effect sizes. As genotype data are high-dimensional in nature, it is crucial to develop methods that can be applied to large-scale data (large n $$ n $$ and large p $$ p $$ ). Many PRS tools aggregate univariate summary statistics from genome-wide association studies into a single...

Topics

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• Algorithms
• Cohort Studies
• Computer Simulation
• Genome-Wide Association Study
• Models, Genetic