BAYESIAN GROUP LASSO FOR NONPARAMETRIC VARYING-COEFFICIENT MODELS WITH APPLICATION TO FUNCTIONAL GENOME-WIDE ASSOCIATION STUDIES

• Published in: The annals of applied statistics Vol. 9; no. 2; p. 640
• Main Authors: Li, Jiahan, Wang, Zhong, Li, Runze, Wu, Rongling
• Format: Journal Article
• Language: English
• Published: United States 01.06.2015
• Subjects: Bayesian approach; GWAS; Longitudinal data; Group variable selection

Although genome-wide association studies (GWAS) have proven powerful for comprehending the genetic architecture of complex traits, they are challenged by a high dimension of single-nucleotide polymorphisms (SNPs) as predictors, the presence of complex environmental factors, and longitudinal or funct...