p_leaf

datasets

A multiple testing procedure aims to find the rare-variant association regions. When variants are rare, the single variant association test approach suffers from low power. To improve testing power, the procedure dynamically and hierarchically aggregates smaller genome regions to larger ones and performs multiple testing for disease associations with a controlled node-level false discovery rate. This method are members of the family of ancillary information assisted recursive testing introduced in Pura, Li, Chan and Xie (2021) <arXiv:1906.07757v2> and Li, Sung and Xie (2021) <arXiv:2103.11085v2>.

Xuechan Li

DYNATE

Dynamic Aggregation Testing

Jichun Xie

p_leaf function

<p>A data frame with 16281 rows and 5 variables. Each row links to a SNP that belongs to a leaf with testing p-value&lt;1.</p>

p_leaf: p_leaf

Description

Usage

Arguments

Format