Cal_cor_pleiotropic_h2_single

This function computes pleioh2g for the target disease before correction.

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_single function

<dl><dt>rg_mat</dt>
<dd>genetic correlation matrix.</dd>
<dt>h2g_T_single</dt>
<dd>heritability for target diseases.</dd>
<dt>plei_h2_idx</dt>
<dd>index of the target disease in the rg_mat.</dd></dl>

Arguments

Compute single pleioh2g for target disease before correction with referred disease index in the rg matrix — Cal_cor_pleiotropic_h2_single

<dl>

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


<dt>h2g_T_single</dt>
<dd>heritability for target diseases.</dd>


<dt>plei_h2_idx</dt>
<dd>index of the target disease in the rg_mat.</dd>

</dl>

Cal_cor_pleiotropic_h2_single: Compute single pleioh2g for target disease before correction with referred disease index in the rg matrix

Description

Usage

Value

Arguments

Examples