pleioh2g: Estimation of Pleiotropic Heritability from Genome-WideAssociation 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 |
| 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 |
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