perform_analysis

`perform_analysis()` Internal function to perform LDSC heritability/covariance analysis

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

perform_analysis function

<dl><dt>n.blocks</dt>
<dd>Number of blocks</dd>
<dt>n.snps</dt>
<dd>Number of SNPs</dd>
<dt>weighted.LD</dt>
<dd>wld score</dd>
<dt>weighted.chi</dt>
<dd>chi-square</dd>
<dt>N.bar</dt>
<dd>Average N after merging</dd>
<dt>m</dt>
<dd>Number of SNPs from LD data</dd></dl>

Arguments

Internal function to perform LDSC heritability/covariance analysis - refer to ldscr R package (https://github.com/mglev1n/ldscr) — perform_analysis

<dl>

<dt>n.blocks</dt>
<dd>Number of blocks</dd>


<dt>n.snps</dt>
<dd>Number of SNPs</dd>


<dt>weighted.LD</dt>
<dd>wld score</dd>


<dt>weighted.chi</dt>
<dd>chi-square</dd>


<dt>N.bar</dt>
<dd>Average N after merging</dd>


<dt>m</dt>
<dd>Number of SNPs from LD data</dd>

</dl>

perform_analysis: Internal function to perform LDSC heritability/covariance analysis - refer to ldscr R package (https://github.com/mglev1n/ldscr)

Description

Usage

Value

Arguments