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.
Cal_cor_pleiotropic_h2_corrected_single
                        Compute single pleioh2g for target disease
                        after correction with referred disease index in
                        the rg matrix and corrected ratio
Cal_cor_pleiotropic_h2_single
                        Compute single pleioh2g for target disease
                        before correction with referred disease index
                        in the rg matrix
Cal_cor_test_single     Compute inversed elements for the target
                        disease in bias correction procedure with
                        referred disease index in the rg matrix
Cal_rg_h2g_alltraits    Compute rg + h2g
Cal_rg_h2g_jk_alltraits
                        genomic-block jackknife and compute rg + h2g
Prune_disease_selection_DTrgzscore
                        Prune disease selection
Results_full_rg         Genetic correlation matrix for 62 traits
Results_full_rg_array   Jackknife array of genetic correlations (62
                        traits)
Rg_mat_z                Genetic correlation Z matrix for 62 traits
generate_proposal_sample_changea_cor
                        Generate samples based on sampling covariance
                        matrix and rg matrix for target disease
h2_liability            Convert Heritability to Liability Scale
h2_vector               h2 vector for 62 traits
h2_vector_mat           h2 jk matrix for 62 traits
ldsc_h2                 Estimate heritability - refer to ldscr R
                        package (https://github.com/mglev1n/ldscr)
ldsc_rg                 Estimate cross-trait genetic correlations
                        (Robust Version) - refer to ldscr R package
                        (https://github.com/mglev1n/ldscr)
make_weights            Internal Function to make weights - refer to
                        ldscr R package
                        (https://github.com/mglev1n/ldscr)
merge_sumstats          Merging summary statistics with LD-score files
                        - refer to ldscr R package
                        (https://github.com/mglev1n/ldscr)
perform_analysis        Internal function to perform LDSC
                        heritability/covariance analysis - refer to
                        ldscr R package
                        (https://github.com/mglev1n/ldscr)
pleiotropyh2_cor_computing_single
                        Compute pleioh2g after bias correction for
                        target disease
pleiotropyh2_cor_computing_single_prune
                        Compute pleioh2g after bias correction for
                        target disease
pleiotropyh2_nocor_computing_single
                        Compute pleioh2g before bias correction for
                        target disease
pruning_pleioh2g_wrapper
                        Perform pruning in computing pleioh2g and
                        correct bias
read_ld                 Read ld from either internal or external file -
                        refer to ldscr R package
                        (https://github.com/mglev1n/ldscr)
read_m                  Read M from either internal or external file -
                        refer to ldscr R package
                        (https://github.com/mglev1n/ldscr)
read_sumstats           Read summary statistics from either internal or
                        external file - refer to ldscr R package
                        (https://github.com/mglev1n/ldscr)
read_wld                Read wld from either internal or external file
                        - refer to ldscr R package
                        (https://github.com/mglev1n/ldscr)
sumstats_munged_example_input
                        Example munged dataframe - refer to ldscr R
                        package (https://github.com/mglev1n/ldscr)
