Analysis of Genome-Wide Association Studies with Multiple Outcomes Using Penalization

• Main Authors: Liu J., Huang J., Ma S.
• Other Authors: DUKE-NUS MEDICAL SCHOOL
• Format: Article
• Published: 2019
• Subjects: analytic method; article; CD3+ T lymphocyte; CD4 CD8 ratio; classification algorithm; correlation analysis; gene frequency; genetic analysis; genetic association; genetic database; genotype; mathematical analysis; mathematical computing; multivariate analysis of variance; penalization; phenotype; simulation; single nucleotide polymorphism; Algorithms; Animals; Computer Simulation; Databases, Genetic; Genetic Markers; Genetic Predisposition to Disease; Genetic Techniques; Genome-Wide Association Study; Humans; Linear Models; Mice; Models, Genetic; Models, Statistical; Multivariate Analysis; Phenotype; Regression Analysis; Risk Factors; Mus
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/161360

10.1371/journal.pone.0051198