Package: KnockoffTrio 1.1.0

Yi Yang
KnockoffTrio: GWAS with Trio and Duo Data using Knockoff Statistics for FDR Control
Identification of putative causal variants in genome-wide association studies with trio and duo families. The package calculates the W feature statistics from KnockoffTrio and p-values from the family-based association test (FBAT) using trio and/or duo data. Compared to previous versions, a significant improvement has been made in Version 1.1.0 to allow the package to be applied not only to trio families but also to duo families. The package implements the methods in the paper: "Yang, Y., Wang, C., Liu, L., Buxbaum, J., He, Z., & Ionita-Laza, I. (2022). KnockoffTrio: A knockoff framework for the identification of putative causal variants in genome-wide association studies with trio design. The American Journal of Human Genetics, 109(10), 1761-1776."
Authors:
KnockoffTrio_1.1.0.tar.gz
KnockoffTrio_1.1.0.tar.gz(r-4.5-noble)KnockoffTrio_1.1.0.tar.gz(r-4.4-noble)
KnockoffTrio_1.1.0.tgz(r-4.4-emscripten)KnockoffTrio_1.1.0.tgz(r-4.3-emscripten)
KnockoffTrio.pdf |KnockoffTrio.html✨
KnockoffTrio/json (API)
# Install 'KnockoffTrio' in R: |
install.packages('KnockoffTrio', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- KnockoffTrio.example - Example data for KnockoffTrio
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:6e42ea3a5e. Checks:2 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 22 2025 |
R-4.5-linux | OK | Feb 22 2025 |
Exports:causal_locicreate_knockoffKnockoffTriometa_analysis
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Identification of putative causal loci | causal_loci |
Create knockoff genotype data | create_knockoff |
Calculate KnockoffTrio's feature statistics | KnockoffTrio |
Example data for KnockoffTrio | KnockoffTrio.example |
Meta-analysis for KnockoffTrio | meta_analysis |