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"Gwas2VCF_command": "--data /data/cromwell-executions/qc/12c0f2d3-8a27-4e2e-91d0-936762d9459e/call-vcf/inputs/-261044505/upload.txt.gz --id ieu-b-4827 --json /data/cromwell-executions/qc/12c0f2d3-8a27-4e2e-91d0-936762d9459e/call-vcf/inputs/-261044505/ieu-b-4827_data.json --ref /data/cromwell-executions/qc/12c0f2d3-8a27-4e2e-91d0-936762d9459e/call-vcf/inputs/1899004205/human_g1k_v37.fasta --dbsnp /data/cromwell-executions/qc/12c0f2d3-8a27-4e2e-91d0-936762d9459e/call-vcf/inputs/-307190728/dbsnp.v153.b37.vcf.gz --out /data/igd/ieu-b-4827/ieu-b-4827.vcf.gz --alias alias.txt; 1.3.0",
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}
*********************************************************************
* LD Score Regression (LDSC)
* Version 1.0.1
* (C) 2014-2019 Brendan Bulik-Sullivan and Hilary Finucane
* Broad Institute of MIT and Harvard / MIT Department of Mathematics
* GNU General Public License v3
*********************************************************************
Call:
./ldsc.py \
--h2 /data/cromwell-executions/qc/12c0f2d3-8a27-4e2e-91d0-936762d9459e/call-ldsc/inputs/-261044505/ieu-b-4827.vcf.gz \
--ref-ld-chr /data/ref/eur_w_ld_chr/ \
--out /data/igd/ieu-b-4827/ldsc.txt \
--w-ld-chr /data/ref/eur_w_ld_chr/
Beginning analysis at Wed Jan 5 09:18:35 2022
Reading summary statistics from /data/cromwell-executions/qc/12c0f2d3-8a27-4e2e-91d0-936762d9459e/call-ldsc/inputs/-261044505/ieu-b-4827.vcf.gz ...
Read summary statistics for 7974332 SNPs.
Dropped 39132 SNPs with duplicated rs numbers.
Reading reference panel LD Score from /data/ref/eur_w_ld_chr/[1-22] ... (ldscore_fromlist)
Read reference panel LD Scores for 1290028 SNPs.
Removing partitioned LD Scores with zero variance.
Reading regression weight LD Score from /data/ref/eur_w_ld_chr/[1-22] ... (ldscore_fromlist)
Read regression weight LD Scores for 1290028 SNPs.
After merging with reference panel LD, 1202624 SNPs remain.
After merging with regression SNP LD, 1202624 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.03 (0.0215)
Lambda GC: 1.0299
Mean Chi^2: 1.027
Intercept: 1.0154 (0.0062)
Ratio: 0.5708 (0.2316)
Analysis finished at Wed Jan 5 09:20:21 2022
Total time elapsed: 1.0m:45.52s
{
"af_correlation": "NA",
"inflation_factor": 1.0288,
"mean_EFFECT": -0.0001,
"n": 20095,
"n_snps": 7974403,
"n_clumped_hits": 0,
"n_p_sig": 0,
"n_mono": 0,
"n_ns": 285241,
"n_mac": 0,
"is_snpid_unique": false,
"n_miss_EFFECT": 0,
"n_miss_SE": 0,
"n_miss_PVAL": 0,
"n_miss_AF": 7974403,
"n_miss_AF_reference": 164849,
"n_est": "NA",
"ratio_se_n": "NA",
"mean_diff": "NaN",
"ratio_diff": "NaN",
"sd_y_est1": "NaN",
"sd_y_est2": "NA",
"r2_sum1": 0,
"r2_sum2": 0,
"r2_sum3": 0,
"r2_sum4": 0,
"ldsc_nsnp_merge_refpanel_ld": 1202624,
"ldsc_nsnp_merge_regression_ld": 1202624,
"ldsc_observed_scale_h2_beta": 0.03,
"ldsc_observed_scale_h2_se": 0.0215,
"ldsc_intercept_beta": 1.0154,
"ldsc_intercept_se": 0.0062,
"ldsc_lambda_gc": 1.0299,
"ldsc_mean_chisq": 1.027,
"ldsc_ratio": 0.5704
}
name | value |
---|---|
af_correlation | NA |
inflation_factor | FALSE |
n | FALSE |
is_snpid_non_unique | TRUE |
mean_EFFECT_nonfinite | FALSE |
mean_EFFECT_05 | FALSE |
mean_EFFECT_01 | FALSE |
mean_chisq | FALSE |
n_p_sig | FALSE |
miss_EFFECT | FALSE |
miss_SE | FALSE |
miss_PVAL | FALSE |
ldsc_ratio | TRUE |
ldsc_intercept_beta | FALSE |
n_clumped_hits | FALSE |
r2_sum1 | FALSE |
r2_sum2 | FALSE |
r2_sum3 | FALSE |
r2_sum4 | FALSE |
General metrics
af_correlation
: Correlation coefficient between AF
and AF_reference
.inflation_factor
(lambda
): Genomic inflation factor.mean_EFFECT
: Mean of EFFECT
size.n
: Maximum value of reported sample size across all SNPs, \(n\).n_clumped_hits
: Number of clumped hits.n_snps
: Number of SNPsn_p_sig
: Number of SNPs with pvalue below 5e-8
.n_mono
: Number of monomorphic (MAF == 1
or MAF == 0
) SNPs.n_ns
: Number of SNPs with nonsense values:
A, C, G or T
.< 0
or > 1
.<= 0
or = Infinity
).< 0
or > 1
.n_mac
: Number of cases where MAC
(\(2 \times N \times MAF\)) is less than 6
.is_snpid_unique
: true
if the combination of ID
REF
ALT
is unique and therefore no duplication in snpid.n_miss_<*>
: Number of NA
observations for <*>
column.se_n metrics
n_est
: Estimated sample size value, \(\widehat{n}\).ratio_se_n
: \(\texttt{ratio_se_n} = \frac{\sqrt{\widehat{n}}}{\sqrt{n}}\). We expect ratio_se_n
to be 1. When it is not 1, it implies that the trait did not have a variance of 1, the reported sample size is wrong, or that the SNP-level effective sample sizes differ markedly from the reported sample size.mean_diff
: \(\texttt{mean_diff} = \sum_{j} \frac{\widehat{\beta_j^{std}} - \beta_j}{\texttt{n_snps}}\), mean difference between the standardised beta, predicted from P-values, and the observed beta. The difference should be very close to zero if trait has a variance of 1.
ratio_diff
: \(\texttt{ratio_diff} = |\frac{\texttt{mean_diff}}{\texttt{mean_diff2}}|\), absolute ratio between the mean of diff
and the mean of diff2
(expected difference between the standardised beta predicted from P-values, and the standardised beta derived from the observed beta divided by the predicted SD; NOT reported). The ratio should be close to 1. If different from 1, then implies that the betas are not in a standard deviation scale.
sd_y_est1
: The standard deviation for the trait inferred from the reported sample size, median standard errors for the SNP-trait assocations and SNP variances.
sd_y_est2
: The standard deviation for the trait inferred from the reported sample size, Z statistics for the SNP-trait effects (beta/se) and allele frequency.
r2 metrics
Sum of variance explained, calculated from the clumped top hits sample.
r2_sum<*>
: r2
statistics under various assumptions
1
: \(r^2 = \sum_j{\frac{2 \times \beta_j^2 \times {MAF}_j \times (1 - {MAF}_j)}{\texttt{var1}}}\), \(\texttt{var1} = 1\).2
: \(r^2 = \sum_j{\frac{2 \times \beta_j^2 \times {MAF}_j \times (1 - {MAF}_j)}{\texttt{var2}}}\), \(\texttt{var2} = {\widehat{\texttt{sd1}}_{y}}^2\),3
: \(r^2 = \sum_j{\frac{2 \times \beta_j^2 \times {MAF}_j \times (1 - {MAF}_j)}{\texttt{var3}}}\), \(\texttt{var3} = {\widehat{\texttt{sd2}}_{y}}^2\),4
: \(r^2 = \sum_j{\frac{F_j}{F_j + n - 2}}\), \(F = \frac{\beta_j^2}{{se}_j^2}\).LDSC metrics
Metrics from LD regression
ldsc_nsnp_merge_refpanel_ld
: Number of remaining SNPs after merging with reference panel LD.ldsc_nsnp_merge_regression_ld
: Number of remaining SNPs after merging with regression SNP LD.ldsc_observed_scale_h2_{beta,se}
Coefficient value and SE for total observed scale h2.ldsc_intercept_{beta,se}
: Coefficient value and SE for intercept. Intercept is expected to be 1.ldsc_lambda_gc
: Lambda GC statistics.ldsc_mean_chisq
: Mean \(\chi^2\) statistics.ldsc_ratio
: \(\frac{\texttt{ldsc_intercept_beta} - 1}{\texttt{ldsc_mean_chisq} - 1}\), the proportion of the inflation in the mean \(\chi^2\) that the LD Score regression intercepts ascribes to causes other than polygenic heritability. The value of ratio should be close to zero, though in practice values of 0.1-0.2 are not uncommon, probably due to sample/reference LD Score mismatch or model misspecification (e.g., low LD variants have slightly higher \(h^2\) per SNP).Flags
When a metric needs attention, the flag should return TRUE.
af_correlation
: abs(af_correlation)
< 0.7.inflation_factor
: inflation_factor
> 1.2.n
: n
(max reported sample size) < 10000.is_snpid_non_unique
: NOT is_snpid_unique
.mean_EFFECT_nonfinite
: mean(EFFECT)
is NA
, NaN
, or Inf
.mean_EFFECT_05
: abs(mean(EFFECT))
> 0.5.mean_EFFECT_01
: abs(mean(EFFECT))
> 0.1.mean_chisq
: ldsc_mean_chisq
> 1.3 or ldsc_mean_chisq
< 0.7.n_p_sig
: n_p_sig
> 1000.miss_<*>
: n_miss_<*>
/ n_snps
> 0.01.ldsc_ratio
: ldsc_ratio
> 0.5ldsc_intercept_beta
: ldsc_intercept_beta
> 1.5n_clumped_hits
: n_clumped_hits
> 1000r2_sum<*>
: r2_sum<*>
> 0.5Plots
skim_type | skim_variable | n_missing | complete_rate | character.min | character.max | character.empty | character.n_unique | character.whitespace | logical.mean | logical.count | numeric.mean | numeric.sd | numeric.p0 | numeric.p25 | numeric.p50 | numeric.p75 | numeric.p100 | numeric.hist |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
character | ID | 22 | 0.9999972 | 3 | 58 | 0 | 7974245 | 0 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
character | REF | 0 | 1.0000000 | 1 | 43 | 0 | 16634 | 0 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
character | ALT | 0 | 1.0000000 | 1 | 44 | 0 | 6013 | 0 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
logical | AF | 7974403 | 0.0000000 | NA | NA | NA | NA | NA | NaN | : | NA | NA | NA | NA | NA | NA | NA | NA |
numeric | CHROM | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 8.648259e+00 | 5.755412e+00 | 1.0000e+00 | 4.000000e+00 | 8.000000e+00 | 1.300000e+01 | 2.200000e+01 | ▇▅▅▂▂ |
numeric | POS | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 7.879905e+07 | 5.636303e+07 | 3.0200e+02 | 3.242980e+07 | 6.934579e+07 | 1.145649e+08 | 2.492223e+08 | ▇▆▅▂▁ |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | -1.282000e-04 | 2.807770e-02 | -3.1560e-01 | -1.310000e-02 | -1.000000e-04 | 1.290000e-02 | 3.155000e-01 | ▁▁▇▁▁ |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 2.372090e-02 | 1.451650e-02 | 1.0500e-02 | 1.310000e-02 | 1.740000e-02 | 2.970000e-02 | 9.200000e-02 | ▇▂▁▁▁ |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.956973e-01 | 2.893364e-01 | 2.0000e-07 | 2.445001e-01 | 4.939000e-01 | 7.461996e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.956976e-01 | 2.893401e-01 | 2.0000e-07 | 2.445079e-01 | 4.938422e-01 | 7.461771e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | AF_reference | 164849 | 0.9793277 | NA | NA | NA | NA | NA | NA | NA | 2.646304e-01 | 2.521037e-01 | 0.0000e+00 | 5.730830e-02 | 1.791130e-01 | 4.131390e-01 | 1.000000e+00 | ▇▃▂▁▁ |
numeric | N | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 1.807242e+04 | 2.610279e+03 | 1.1364e+04 | 1.598200e+04 | 1.980800e+04 | 2.009500e+04 | 2.009500e+04 | ▁▁▁▁▇ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 693731 | rs12238997 | A | G | -0.0366 | 0.0229 | 0.1097999 | 0.1099866 | NA | 0.141773 | 12481 |
1 | 729679 | rs4951859 | C | G | 0.0176 | 0.0214 | 0.4103997 | 0.4108323 | NA | 0.639976 | 11725 |
1 | 731718 | rs142557973 | T | C | -0.0370 | 0.0225 | 0.1002001 | 0.1000844 | NA | 0.154353 | 12481 |
1 | 734349 | rs141242758 | T | C | -0.0388 | 0.0226 | 0.0853493 | 0.0860131 | NA | 0.152556 | 12481 |
1 | 736289 | rs79010578 | T | A | -0.0226 | 0.0222 | 0.3099003 | 0.3086694 | NA | 0.139577 | 12010 |
1 | 752566 | rs3094315 | G | A | 0.0156 | 0.0213 | 0.4643003 | 0.4639279 | NA | 0.718251 | 11725 |
1 | 752721 | rs3131972 | A | G | 0.0163 | 0.0212 | 0.4423999 | 0.4419717 | NA | 0.653355 | 11725 |
1 | 753405 | rs3115860 | C | A | 0.0329 | 0.0226 | 0.1457002 | 0.1454611 | NA | 0.751797 | 11725 |
1 | 753541 | rs2073813 | G | A | -0.0331 | 0.0219 | 0.1302999 | 0.1306826 | NA | 0.301917 | 12481 |
1 | 754182 | rs3131969 | A | G | 0.0326 | 0.0225 | 0.1480001 | 0.1473686 | NA | 0.678514 | 11725 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
22 | 51218377 | rs2519461 | G | C | 0.0069 | 0.0265 | 0.7942002 | 0.7945727 | NA | 0.0826677 | 13589 |
22 | 51219006 | rs28729663 | G | A | -0.0032 | 0.0214 | 0.8809000 | 0.8811333 | NA | 0.2052720 | 12514 |
22 | 51219387 | rs9616832 | T | C | 0.0070 | 0.0265 | 0.7923991 | 0.7916636 | NA | 0.0654952 | 13589 |
22 | 51219704 | rs147475742 | G | A | -0.0068 | 0.0328 | 0.8368001 | 0.8357622 | NA | 0.0473243 | 12803 |
22 | 51221190 | rs369304721 | G | A | -0.0114 | 0.0303 | 0.7073006 | 0.7067402 | NA | NA | 13088 |
22 | 51221731 | rs115055839 | T | C | 0.0060 | 0.0266 | 0.8222001 | 0.8215406 | NA | 0.0625000 | 13589 |
22 | 51222100 | rs114553188 | G | T | -0.0052 | 0.0295 | 0.8593000 | 0.8600809 | NA | 0.0880591 | 13592 |
22 | 51223637 | rs375798137 | G | A | -0.0121 | 0.0299 | 0.6853004 | 0.6857111 | NA | 0.0788738 | 13088 |
22 | 51229805 | rs9616985 | T | C | 0.0086 | 0.0267 | 0.7462992 | 0.7473789 | NA | 0.0730831 | 13589 |
22 | 51237063 | rs3896457 | T | C | -0.0081 | 0.0164 | 0.6218004 | 0.6213751 | NA | 0.2050720 | 12010 |
1 693731 rs12238997 A G . PASS . ES:SE:LP:SS:ID -0.0366:0.0229:0.959398:12481:rs12238997
1 729679 rs4951859 C G . PASS . ES:SE:LP:SS:ID 0.0176:0.0214:0.386793:11725:rs4951859
1 731718 rs58276399 T C . PASS . ES:SE:LP:SS:ID -0.037:0.0225:0.999132:12481:rs58276399
1 734349 rs141242758 T C . PASS . ES:SE:LP:SS:ID -0.0388:0.0226:1.0688:12481:rs141242758
1 736289 rs1254887344 T A . PASS . ES:SE:LP:SS:ID -0.0226:0.0222:0.508778:12010:rs1254887344
1 752566 rs3094315 G A . PASS . ES:SE:LP:SS:ID 0.0156:0.0213:0.333201:11725:rs3094315
1 752721 rs3131972 A G . PASS . ES:SE:LP:SS:ID 0.0163:0.0212:0.354185:11725:rs3131972
1 753405 rs3115860 C A . PASS . ES:SE:LP:SS:ID 0.0329:0.0226:0.83654:11725:rs3115860
1 753541 rs1388595942 G A . PASS . ES:SE:LP:SS:ID -0.0331:0.0219:0.885056:12481:rs1388595942
1 754182 rs3131969 A G . PASS . ES:SE:LP:SS:ID 0.0326:0.0225:0.829738:11725:rs3131969
1 754192 rs3131968 A G . PASS . ES:SE:LP:SS:ID 0.0324:0.0225:0.823909:11725:rs3131968
1 754334 rs3131967 T C . PASS . ES:SE:LP:SS:ID 0.0286:0.0225:0.692932:11725:rs3131967
1 754503 rs3115859 G A . PASS . ES:SE:LP:SS:ID 0.013:0.0212:0.268572:11725:rs3115859
1 754964 rs3131966 C T . PASS . ES:SE:LP:SS:ID 0.0146:0.0212:0.308388:11725:rs3131966
1 755775 rs3131965 A G . PASS . ES:SE:LP:SS:ID 0.0114:0.0212:0.229443:11725:rs3131965
1 755890 rs1280367067 A T . PASS . ES:SE:LP:SS:ID 0.0276:0.0226:0.65228:11725:rs1280367067
1 756604 rs3131962 A G . PASS . ES:SE:LP:SS:ID 0.0288:0.0226:0.695509:11725:rs3131962
1 757640 rs3115853 G A . PASS . ES:SE:LP:SS:ID 0.0303:0.0225:0.74958:11725:rs3115853
1 757734 rs1557551770 C T . PASS . ES:SE:LP:SS:ID 0.0294:0.0226:0.712646:11725:rs1557551770
1 757936 rs1360886751 C A . PASS . ES:SE:LP:SS:ID 0.0294:0.0226:0.712646:11725:rs1360886751
1 758144 rs3131956 A G . PASS . ES:SE:LP:SS:ID 0.0295:0.0226:0.717831:11725:rs3131956
1 758626 rs3131954 C T . PASS . ES:SE:LP:SS:ID 0.0278:0.0226:0.662341:11725:rs3131954
1 760912 rs1048488 C T . PASS . ES:SE:LP:SS:ID 0.0122:0.0211:0.250496:11725:rs1048488
1 761147 rs3115850 T C . PASS . ES:SE:LP:SS:ID 0.0128:0.0211:0.263843:11725:rs3115850
1 761732 rs2286139 C T . PASS . ES:SE:LP:SS:ID 0.0262:0.0222:0.621966:11725:rs2286139
1 766007 rs61768174 A C . PASS . ES:SE:LP:SS:ID -0.0325:0.0236:0.774432:12481:rs61768174
1 768253 rs2977608 A C . PASS . ES:SE:LP:SS:ID 0.0157:0.0177:0.427245:12481:rs2977608
1 768448 rs12562034 G A . PASS . ES:SE:LP:SS:ID -0.0007:0.0253:0.00935041:12010:rs12562034
1 769223 rs60320384 C G . PASS . ES:SE:LP:SS:ID -0.0296:0.022:0.749824:12481:rs60320384
1 771823 rs2977605 T C . PASS . ES:SE:LP:SS:ID 0.0306:0.0226:0.755723:11725:rs2977605
1 771967 rs59066358 G A . PASS . ES:SE:LP:SS:ID -0.0286:0.022:0.715118:12481:rs59066358
1 772755 rs2905039 A C . PASS . ES:SE:LP:SS:ID 0.0303:0.0226:0.74521:11725:rs2905039
1 777122 rs2980319 A T . PASS . ES:SE:LP:SS:ID 0.0361:0.0225:0.965372:11725:rs2980319
1 777232 rs112618790 C T . PASS . ES:SE:LP:SS:ID 0.0066:0.026:0.0969643:12481:rs112618790
1 778745 rs1055606 A G . PASS . ES:SE:LP:SS:ID -0.0321:0.0219:0.842846:12481:rs1055606
1 779322 rs4040617 A G . PASS . ES:SE:LP:SS:ID -0.0325:0.0219:0.859178:12481:rs4040617
1 780785 rs2977612 T A . PASS . ES:SE:LP:SS:ID 0.0366:0.0224:0.988853:11725:rs2977612
1 781845 rs1391043716 A G . PASS . ES:SE:LP:SS:ID -0.0324:0.0237:0.768021:12481:rs1391043716
1 782981 rs6594026 C T . PASS . ES:SE:LP:SS:ID -0.0329:0.0219:0.878769:12481:rs6594026
1 785050 rs2905062 G A . PASS . ES:SE:LP:SS:ID 0.0349:0.0224:0.925184:11725:rs2905062
1 785989 rs2980300 T C . PASS . ES:SE:LP:SS:ID 0.0351:0.0224:0.933674:11725:rs2980300
1 787399 rs2905055 G T . PASS . ES:SE:LP:SS:ID 0.0399:0.0222:1.14056:11725:rs2905055
1 787606 rs3863622 G T . PASS . ES:SE:LP:SS:ID -0.0336:0.0219:0.900665:12481:rs3863622
1 787685 rs2905054 G T . PASS . ES:SE:LP:SS:ID 0.0398:0.0222:1.13354:11725:rs2905054
1 787844 rs2905053 C T . PASS . ES:SE:LP:SS:ID 0.0377:0.0224:1.03423:11725:rs2905053
1 790465 rs61768207 G A . PASS . ES:SE:LP:SS:ID -0.0238:0.0239:0.494579:12481:rs61768207
1 791191 rs111818025 G A . PASS . ES:SE:LP:SS:ID -0.0325:0.022:0.859178:12481:rs111818025
1 791853 rs6684487 G A . PASS . ES:SE:LP:SS:ID 0.012:0.026:0.191114:12481:rs6684487
1 794332 rs12127425 G A . PASS . ES:SE:LP:SS:ID 0.0101:0.0283:0.142788:12481:rs12127425
1 795222 rs12131377 C G . PASS . ES:SE:LP:SS:ID 0.0074:0.0282:0.100672:12481:rs12131377