Cal_cor_pleiotropic_h2

Compute a vector of pleioh2g for all diseases before correction
This function computes pleioh2g for all diseases before correction in one go.

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.

Yujie Zhao

pleioh2g

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

Cal_cor_pleiotropic_h2 function

<dl><dt>rg_mat</dt>
<dd>genetic correlation matrix.</dd>
<dt>h2g_T</dt>
<dd>heritability vector for all diseases.</dd></dl>

Arguments

Compute a vector of pleioh2g for all diseases before correction
This function computes pleioh2g for all diseases before correction in one go. — Cal_cor_pleiotropic_h2

<dl>

<dt>rg_mat</dt>
<dd>genetic correlation matrix.</dd>


<dt>h2g_T</dt>
<dd>heritability vector for all diseases.</dd>

</dl>

Cal_cor_pleiotropic_h2: Compute a vector of pleioh2g for all diseases before correction This function computes pleioh2g for all diseases before correction in one go.

Description

Usage

Value

Arguments

Examples