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KnockoffTrio  

GWAS with Trio and Duo Data using Knockoff Statistics for FDR Control
View on CRAN: Click here


Download and install KnockoffTrio package within the R console
Install from CRAN:
install.packages("KnockoffTrio")

Install from Github:
library("remotes")
install_github("cran/KnockoffTrio")

Install by package version:
library("remotes")
install_version("KnockoffTrio", "1.1.0")



Attach the package and use:
library("KnockoffTrio")
Maintained by
Yi Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-07
Latest Update: 2025-01-23
Description:
Identification of putative causal variants in genome-wide association studies with the trio design. 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.
How to cite:
Yi Yang (2022). KnockoffTrio: GWAS with Trio and Duo Data using Knockoff Statistics for FDR Control. R package version 1.1.0, https://cran.r-project.org/web/packages/KnockoffTrio. Accessed 11 Mar. 2026.
Previous versions and publish date:
1.0.0 (2022-03-07 21:30), 1.0.1 (2022-10-17 11:45), 1.0.2 (2023-12-08 07:40)
Other packages that cited KnockoffTrio R package
View KnockoffTrio citation profile
Other R packages that KnockoffTrio depends, imports, suggests or enhances
Complete documentation for KnockoffTrio
Functions, R codes and Examples using the KnockoffTrio R package
Some associated functions: KnockoffTrio.example . KnockoffTrio . causal_loci . create_knockoff . meta_analysis . 
Some associated R codes: KnockoffTrio.R . causal_loci.R . create_knockoff.R . data.R . meta_analysis.R .  Full KnockoffTrio package functions and examples
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