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.
Package details |
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Author | Shiyang Ma, James Dalgleish, Zihuai He, Iuliana Ionita-Laza |
Maintainer | Shiyang Ma <sm4857@cumc.columbia.edu> |
License | GPL-3 |
Version | 0.3 |
Package repository | View on GitHub |
Installation |
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