Detecting longitudinal effects of haplotypes and smoking on hypertension using B-splines and Bayesian LASSO.

ABSTRACT: The behavior of a gene can be dynamic; thus, if longitudinal data are available, it is important that we study the dynamic effects of genes on a trait over time. The effect of a haplotype can be expressed by time-varying coefficients. In this paper, we use the natural cubic B-spline to express these coefficients that capture the trends of the effects of haplotypes, some of which may be rare, over time; that is, at different ages. More specifically, to capture disease-associated common and rare haplotypes and environmental factors for data from unrelated individuals, we developed a method of time-varying coefficients that uses the logistic Bayesian LASSO methodology and B-spline by setting proper prior distributions. Haplotype and environmental effect coefficients are obtained by using Mark

SUBMITTER: Xia S 

PROVIDER: S-EPMC4143712 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature