Article
Longitudinal data analysis for rare variants detection with penalized quadratic inference function.
Scientific reports - 5 Apr 2017
Cao Hongyan, Li Zhi, Yang Haitao, Cui Yuehua, Zhang Yanbo
Abstract excerpt
Longitudinal genetic data provide more information regarding genetic effects over time compared with cross-sectional data. Coupled with next-generation sequencing technologies, it becomes reality to identify important genes containing both rare and common variants in a longitudinal design. In this work, we adopted a weighted sum statistic (WSS) to collapse multiple variants in a gene region to form a gene score....
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