Empowering genome-wide association studies via a visualizable test based on the regional association score.

Abstract excerpt

The genome-wide association studies identified genes associated with many diseases, but the identification and verification of disease variants are still challenging due to small effects and large number of individual variants. In this paper, we propose a powerful method that first quantifies the strength of regional associations at each single nucleotide polymorphism and converts these measures into time series...

Topics

• Genome-Wide Association Study
• Humans
• Polymorphism, Single Nucleotide
• Algorithms
• Computer Simulation
• Models, Genetic