A LASSO penalized regression approach for genome-wide association analyses using related individuals: Application to the Genetic Analysis Workshop 19 simulated data

Keyphrases

• Individual Application 100%
• Genetic Analysis Workshop 19 100%
• Regression Approach 100%
• Genome-wide Association Analysis 100%
• Least Absolute Shrinkage and Selection Operator (LASSO) 100%
• Penalized Regression 100%
• Related Individuals 100%
• Family Data 50%
• Linear Function 50%
• Linear Mixed Model 50%
• 19th Century 50%
• Systolic Blood Pressure 50%
• Condensed Coefficients of Identity 50%
• Full Knowledge 50%
• False-positive Signal 50%
• Simulation Model 50%
• Covariance Structure 50%
• Random Effects 50%
• Element Combination 50%

Biochemistry, Genetics and Molecular Biology

• Genome Wide Association Study 100%
• Relatedness 100%
• Systolic Blood Pressure 50%