*********************************************************************
* LD Score Regression (LDSC)
* Version 1.0.0
* (C) 2014-2015 Brendan Bulik-Sullivan and Hilary Finucane
* Broad Institute of MIT and Harvard / MIT Department of Mathematics
* GNU General Public License v3
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Call: 
./ldsc.py \
--print-snps /net/gs/vol1/home/ajh24/bin/ldsc/hapmap3_snps/hm.2.snp \
--ld-wind-cm 1.0 \
--out all_da_open_results/train_models/clusters_17-cluster_3.2 \
--bfile /net/gs/vol1/home/ajh24/bin/ldsc/1000G_EUR_Phase3_plink/1000G.EUR.QC.2 \
--annot all_da_open_results/train_models/clusters_17-cluster_3.2.annot.gz \
--l2  

Beginning analysis at Tue Oct 31 17:26:47 2017
Read list of 839590 SNPs from /net/gs/vol1/home/ajh24/bin/ldsc/1000G_EUR_Phase3_plink/1000G.EUR.QC.2.bim
Read 1 annotations for 839590 SNPs from all_da_open_results/train_models/clusters_17-cluster_3.2.annot.gz
Read list of 489 individuals from /net/gs/vol1/home/ajh24/bin/ldsc/1000G_EUR_Phase3_plink/1000G.EUR.QC.2.fam
Reading genotypes from /net/gs/vol1/home/ajh24/bin/ldsc/1000G_EUR_Phase3_plink/1000G.EUR.QC.2.bed
Estimating LD Score.
Reading list of 116575 SNPs for which to print LD Scores from /net/gs/vol1/home/ajh24/bin/ldsc/hapmap3_snps/hm.2.snp
After merging with --print-snps, LD Scores for 100038 SNPs will be printed.
Writing LD Scores for 100038 SNPs to all_da_open_results/train_models/clusters_17-cluster_3.2.l2.ldscore.gz

Summary of LD Scores in all_da_open_results/train_models/clusters_17-cluster_3.2.l2.ldscore.gz
         MAF       L2
mean  0.2371   0.3894
std   0.1439   0.9262
min   0.0051  -0.0815
25%   0.1115   0.0000
50%   0.2280   0.0306
75%   0.3609   0.2967
max   0.5000  11.4313

MAF/LD Score Correlation Matrix
        MAF      L2
MAF  1.0000  0.0929
L2   0.0929  1.0000

Annotation Correlation Matrix
                         SPECIFIC_PEAK_INTERSECT
SPECIFIC_PEAK_INTERSECT                      1.0

Annotation Matrix Column Sums
SPECIFIC_PEAK_INTERSECT    2820

Summary of Annotation Matrix Row Sums
count    839590.0000
mean          0.0034
std           0.0579
min           0.0000
25%           0.0000
50%           0.0000
75%           0.0000
max           1.0000
Analysis finished at Tue Oct 31 19:36:31 2017
Total time elapsed: 2.0h:9.0m:43.71s