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....
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2017-04-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-017-00712-9 |