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"gwas_harmonisation_command": "--json /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-a-import/processed/ukb-a-496/ukb-a-496_data.json --ref /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/QC/genomes/b37/human_g1k_v37.fasta; 1.1.1",
"file_date": "2020-02-16T00:52:36.590015",
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"bcftools_viewCommand": "view -h /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukb-a-496/ukb-a-496.vcf.gz; Date=Sun May 10 07:37:25 2020"
}
*********************************************************************
* 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 /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-a-import/processed/ukb-a-496/ukb-a-496.vcf.gz \
--ref-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/ \
--out /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-a-import/processed/ukb-a-496/ldsc.txt \
--w-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/
Beginning analysis at Sun Feb 16 02:22:16 2020
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-a-import/processed/ukb-a-496/ukb-a-496.vcf.gz ...
Read summary statistics for 10877936 SNPs.
Reading reference panel LD Score from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/[1-22] ...
Read reference panel LD Scores for 1290028 SNPs.
Removing partitioned LD Scores with zero variance.
Reading regression weight LD Score from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/[1-22] ...
Read regression weight LD Scores for 1290028 SNPs.
After merging with reference panel LD, 1281483 SNPs remain.
After merging with regression SNP LD, 1281483 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.0108 (0.0014)
Lambda GC: 1.0605
Mean Chi^2: 1.0612
Intercept: 0.9905 (0.0055)
Ratio < 0 (usually indicates GC correction).
Analysis finished at Sun Feb 16 02:24:04 2020
Total time elapsed: 1.0m:48.56s
{
"af_correlation": 0.9533,
"inflation_factor": 1.0404,
"mean_EFFECT": -3.3387e-06,
"n": 336314,
"n_snps": 10877936,
"n_clumped_hits": 0,
"n_p_sig": 2,
"n_mono": 0,
"n_ns": 0,
"n_mac": 0,
"is_snpid_unique": true,
"n_miss_EFFECT": 0,
"n_miss_SE": 0,
"n_miss_PVAL": 0,
"n_miss_AF": 0,
"n_miss_AF_reference": 356865,
"n_est": 334818.0906,
"ratio_se_n": 0.9978,
"mean_diff": -0,
"ratio_diff": 105.1549,
"sd_y_est1": 0.195,
"sd_y_est2": 0.1946,
"r2_sum1": 0,
"r2_sum2": 0,
"r2_sum3": 0,
"r2_sum4": 0,
"ldsc_nsnp_merge_refpanel_ld": 1281483,
"ldsc_nsnp_merge_regression_ld": 1281483,
"ldsc_observed_scale_h2_beta": 0.0108,
"ldsc_observed_scale_h2_se": 0.0014,
"ldsc_intercept_beta": 0.9905,
"ldsc_intercept_se": 0.0055,
"ldsc_lambda_gc": 1.0605,
"ldsc_mean_chisq": 1.0612,
"ldsc_ratio": -0.1552
}
name | value |
---|---|
af_correlation | FALSE |
inflation_factor | FALSE |
n | FALSE |
is_snpid_non_unique | FALSE |
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 | FALSE |
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 | numeric.mean | numeric.sd | numeric.p0 | numeric.p25 | numeric.p50 | numeric.p75 | numeric.p100 | numeric.hist |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
character | ID | 0 | 1.0000000 | 3 | 58 | 0 | 10877936 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | REF | 0 | 1.0000000 | 1 | 1 | 0 | 4 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | ALT | 0 | 1.0000000 | 1 | 1 | 0 | 4 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
numeric | CHROM | 0 | 1.0000000 | NA | NA | NA | NA | NA | 8.598638e+00 | 5.745666e+00 | 1.00000e+00 | 4.000000e+00 | 8.000000e+00 | 1.300000e+01 | 2.200000e+01 | ▇▅▃▂▂ |
numeric | POS | 0 | 1.0000000 | NA | NA | NA | NA | NA | 7.911383e+07 | 5.624931e+07 | 8.28000e+02 | 3.287294e+07 | 6.988889e+07 | 1.148258e+08 | 2.492251e+08 | ▇▆▅▂▁ |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | -3.300000e-06 | 2.831500e-03 | -3.46741e-02 | -7.884000e-04 | -1.020000e-05 | 7.620000e-04 | 4.024810e-02 | ▁▁▇▁▁ |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | 2.048100e-03 | 1.939900e-03 | 4.69900e-04 | 5.803000e-04 | 1.114700e-03 | 2.978500e-03 | 1.068110e-02 | ▇▂▁▁▁ |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.937673e-01 | 2.902789e-01 | 0.00000e+00 | 2.409589e-01 | 4.914666e-01 | 7.453633e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.937668e-01 | 2.902792e-01 | 0.00000e+00 | 2.409585e-01 | 4.914671e-01 | 7.453629e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | 1.820865e-01 | 2.503832e-01 | 1.00090e-03 | 6.878700e-03 | 5.191440e-02 | 2.739880e-01 | 9.989990e-01 | ▇▂▁▁▁ |
numeric | AF_reference | 356865 | 0.9671937 | NA | NA | NA | NA | NA | 1.877709e-01 | 2.439191e-01 | 0.00000e+00 | 5.191700e-03 | 7.468050e-02 | 2.873400e-01 | 1.000000e+00 | ▇▂▁▁▁ |
numeric | N | 0 | 1.0000000 | NA | NA | NA | NA | NA | 3.363140e+05 | 0.000000e+00 | 3.36314e+05 | 3.363140e+05 | 3.363140e+05 | 3.363140e+05 | 3.363140e+05 | ▁▁▇▁▁ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 693731 | rs12238997 | A | G | 0.0005549 | 0.0007843 | 0.4792366 | 0.4792362 | 0.1169260 | 0.1417730 | 336314 |
1 | 717587 | rs144155419 | G | A | -0.0032606 | 0.0021075 | 0.1218291 | 0.1218267 | 0.0143862 | 0.0045926 | 336314 |
1 | 730087 | rs148120343 | T | C | 0.0006896 | 0.0010930 | 0.5280743 | 0.5280721 | 0.0554733 | 0.0127796 | 336314 |
1 | 731718 | rs142557973 | T | C | 0.0004981 | 0.0007441 | 0.5032514 | 0.5032504 | 0.1216580 | 0.1543530 | 336314 |
1 | 734349 | rs141242758 | T | C | 0.0005188 | 0.0007445 | 0.4858699 | 0.4858699 | 0.1215130 | 0.1525560 | 336314 |
1 | 740284 | rs61770167 | C | T | 0.0043922 | 0.0033866 | 0.1946570 | 0.1946559 | 0.0058556 | 0.0023962 | 336314 |
1 | 742813 | rs112573343 | C | T | -0.0028893 | 0.0063993 | 0.6516284 | 0.6516280 | 0.0015525 | 0.1030350 | 336314 |
1 | 753405 | rs3115860 | C | A | -0.0005733 | 0.0007073 | 0.4176697 | 0.4176693 | 0.8706760 | 0.7517970 | 336314 |
1 | 753541 | rs2073813 | G | A | 0.0006259 | 0.0007091 | 0.3774288 | 0.3774286 | 0.1288330 | 0.3019170 | 336314 |
1 | 754182 | rs3131969 | A | G | -0.0005627 | 0.0007066 | 0.4258572 | 0.4258574 | 0.8703180 | 0.6785140 | 336314 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
22 | 51219387 | rs9616832 | T | C | 0.0000485 | 0.0009111 | 0.9575761 | 0.9575756 | 0.0729806 | 0.0654952 | 336314 |
22 | 51219704 | rs147475742 | G | A | -0.0000571 | 0.0012215 | 0.9627120 | 0.9627121 | 0.0418225 | 0.0473243 | 336314 |
22 | 51219766 | rs182321900 | C | T | 0.0009318 | 0.0062820 | 0.8820790 | 0.8820792 | 0.0014546 | NA | 336314 |
22 | 51220088 | rs566371895 | G | A | -0.0028808 | 0.0041100 | 0.4833514 | 0.4833493 | 0.0039843 | 0.0003994 | 336314 |
22 | 51220146 | rs868950473 | C | T | 0.0022871 | 0.0061876 | 0.7116607 | 0.7116597 | 0.0015139 | NA | 336314 |
22 | 51221731 | rs115055839 | T | C | 0.0001105 | 0.0009116 | 0.9035169 | 0.9035177 | 0.0728101 | 0.0625000 | 336314 |
22 | 51223637 | rs375798137 | G | A | -0.0003680 | 0.0010741 | 0.7318600 | 0.7318611 | 0.0540289 | 0.0788738 | 336314 |
22 | 51226692 | rs150189434 | G | A | 0.0001307 | 0.0064243 | 0.9837680 | 0.9837683 | 0.0013983 | 0.0155751 | 336314 |
22 | 51229805 | rs9616985 | T | C | 0.0001410 | 0.0009151 | 0.8775600 | 0.8775598 | 0.0727671 | 0.0730831 | 336314 |
22 | 51237063 | rs3896457 | T | C | 0.0008042 | 0.0005569 | 0.1487058 | 0.1487052 | 0.2968410 | 0.2050720 | 336314 |
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1 740284 rs61770167 C T . PASS AF=0.00585559 ES:SE:LP:AF:SS:ID 0.00439219:0.00338661:0.71073:0.00585559:336314:rs61770167
1 742813 rs112573343 C T . PASS AF=0.0015525 ES:SE:LP:AF:SS:ID -0.00288929:0.00639929:0.186:0.0015525:336314:rs112573343
1 753405 rs3115860 C A . PASS AF=0.870676 ES:SE:LP:AF:SS:ID -0.000573278:0.000707339:0.379167:0.870676:336314:rs3115860
1 753541 rs2073813 G A . PASS AF=0.128833 ES:SE:LP:AF:SS:ID 0.000625882:0.000709099:0.423165:0.128833:336314:rs2073813
1 754182 rs3131969 A G . PASS AF=0.870318 ES:SE:LP:AF:SS:ID -0.000562658:0.00070659:0.370736:0.870318:336314:rs3131969
1 754192 rs3131968 A G . PASS AF=0.870409 ES:SE:LP:AF:SS:ID -0.000546588:0.000706923:0.357132:0.870409:336314:rs3131968
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1 770377 rs112563271 A T . PASS AF=0.00692321 ES:SE:LP:AF:SS:ID 0.000657157:0.00287422:0.0866366:0.00692321:336314:rs112563271
1 771823 rs2977605 T C . PASS AF=0.869934 ES:SE:LP:AF:SS:ID -0.000417411:0.000704912:0.256684:0.869934:336314:rs2977605
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1 772755 rs2905039 A C . PASS AF=0.870112 ES:SE:LP:AF:SS:ID -0.000419375:0.000704944:0.258134:0.870112:336314:rs2905039
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1 777122 rs2980319 A T . PASS AF=0.871122 ES:SE:LP:AF:SS:ID -0.000593124:0.000706142:0.396924:0.871122:336314:rs2980319
1 777232 rs112618790 C T . PASS AF=0.0961319 ES:SE:LP:AF:SS:ID -0.000926659:0.00081522:0.592329:0.0961319:336314:rs112618790
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1 781845 rs61768199 A G . PASS AF=0.1044 ES:SE:LP:AF:SS:ID 0.000838614:0.000792787:0.537385:0.1044:336314:rs61768199
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1 782981 rs6594026 C T . PASS AF=0.128338 ES:SE:LP:AF:SS:ID 0.000621946:0.000707892:0.420646:0.128338:336314:rs6594026
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1 783194 rs138555831 G T . PASS AF=0.0143713 ES:SE:LP:AF:SS:ID 1.0627e-05:0.00215409:0.00171276:0.0143713:336314:rs138555831
1 783711 rs184266993 G A . PASS AF=0.00541372 ES:SE:LP:AF:SS:ID -0.00246852:0.00344529:0.324509:0.00541372:336314:rs184266993
1 785050 rs2905062 G A . PASS AF=0.87014 ES:SE:LP:AF:SS:ID -0.000571292:0.000705098:0.379023:0.87014:336314:rs2905062
1 785989 rs2980300 T C . PASS AF=0.87009 ES:SE:LP:AF:SS:ID -0.0005472:0.000705547:0.358521:0.87009:336314:rs2980300