Iuliana-Ionita-Laza/GeneScan3DKnock: Powerful gene-based testing by integrating long-range chromatin interactions and knockoff genotypes

Functions for the gene-based association tests that integrate both common and rare genetic variation from promoter and enhancers for each gene, along with the knockoff-enhanced tests. The GeneScan3DKnock has two steps: Step 1. Knockoff generation using function GeneScan3D.KnockoffGeneration() and Step 2. Knockoff filter using function GeneScan3DKnock(). To deal with case-control imbalance issue for binary traits, we apply the Saddlepoint approximation (SPA) of the gene-based tests to avoid the inflation of Type I error rate. The knockoff generations are optimized using shrinkage leveraging algorithm.

Getting started

Package details

AuthorShiyang Ma, James Dalgleish, Zihuai He, Iuliana Ionita-Laza
MaintainerShiyang Ma <sm4857@cumc.columbia.edu>
LicenseGPL-3
Version0.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("Iuliana-Ionita-Laza/GeneScan3DKnock")
Iuliana-Ionita-Laza/GeneScan3DKnock documentation built on July 31, 2023, 4:32 a.m.