Longitudinal data analysis for rare variants detection with penalized quadratic inference function

Abstract 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....

Full description

Saved in:
Bibliographic Details
Main Authors: Hongyan Cao, Zhi Li, Haitao Yang, Yuehua Cui, Yanbo Zhang
Format: article
Language:EN
Published: Nature Portfolio 2017
Subjects:
R
Q
Online Access:https://doaj.org/article/df13efaeca734d6c994cf7dd22e9c555
Tags: Add Tag
No Tags, Be the first to tag this record!