pleioh2g: Estimation of Pleiotropic Heritability from Genome-Wide Association Studies (GWAS) Summary Statistics

Provides tools to compute unbiased pleiotropic heritability estimates of complex diseases from genome-wide association studies (GWAS) summary statistics. We estimate pleiotropic heritability from GWAS summary statistics by estimating the proportion of variance explained from an estimated genetic correlation matrix (Bulik-Sullivan et al. 2015 <doi:10.1038/ng.3406>) and employing a Monte-Carlo bias correction procedure to account for sampling noise in genetic correlation estimates.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	data.table, dplyr, stats, rlang, mvtnorm, fs, arrow, checkmate, cli, gdata, glue, purrr, tibble, vroom
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2025-10-28
DOI:	10.32614/CRAN.package.pleioh2g (may not be active yet)
Author:	Yujie Zhao [aut, cre]
Maintainer:	Yujie Zhao <yujiezhao at hsph.harvard.edu>
License:	GPL-3
NeedsCompilation:	no
Language:	en-US
CRAN checks:	pleioh2g results

Documentation:

Reference manual:	pleioh2g.html , pleioh2g.pdf
Vignettes:	pleioh2g-tutorial (source, R code)

Downloads:

Package source:	pleioh2g_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): pleioh2g_0.1.0.tgz, r-oldrel (arm64): pleioh2g_0.1.0.tgz, r-release (x86_64): pleioh2g_0.1.0.tgz, r-oldrel (x86_64): pleioh2g_0.1.0.tgz

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