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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | pleioh2g_0.1.2.tar.gz |
3.7 MiB |
0.1.2 |
rolling linux/noble R-4.5 | pleioh2g_0.1.2.tar.gz |
3.7 MiB |
0.1.2 |
rolling source/ R- | pleioh2g_0.1.2.tar.gz |
4.3 MiB |
0.1.2 |
latest linux/jammy R-4.5 | pleioh2g_0.1.2.tar.gz |
3.7 MiB |
0.1.2 |
latest linux/noble R-4.5 | pleioh2g_0.1.2.tar.gz |
3.7 MiB |
0.1.2 |
latest source/ R- | pleioh2g_0.1.2.tar.gz |
4.3 MiB |
0.1.2 |
2026-04-26 source/ R- | pleioh2g_0.1.2.tar.gz |
4.3 MiB |
0.1.2 |
2026-04-23 source/ R- | pleioh2g_0.1.2.tar.gz |
4.3 MiB |
0.1.2 |
2026-04-09 windows/windows R-4.5 | pleioh2g_0.1.2.zip |
3.7 MiB |