A genetic stochastic process model for genome ‐wide joint analysis of biomarker dynamics and disease susceptibility with longitudinal data

In conclusion, the proposed GSPM provides a promising and useful tool in GWAS of longitudinal data for interrogating pleiotropic and interaction effects to gain more insights into the relationship between genes, quantitative biomarkers, and risks of complex diseases.

Source: Genetic Epidemiology - June 21, 2017 Category: Epidemiology Authors: Liang He, Ilya Zhbannikov, Konstantin G. Arbeev, Anatoliy I. Yashin, Alexander M. Kulminski Tags: RESEARCH ARTICLE Source Type: research