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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 /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ieu-a-import/processed/ieu-a-837/ieu-a-837.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/ieu-a-import/processed/ieu-a-837/ldsc.txt \
--w-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/
Beginning analysis at Tue Feb 4 19:25:20 2020
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ieu-a-import/processed/ieu-a-837/ieu-a-837.vcf.gz ...
Read summary statistics for 2307473 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, 1108496 SNPs remain.
After merging with regression SNP LD, 1108496 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.0941 (0.0065)
Lambda GC: 1.2365
Mean Chi^2: 1.2759
Intercept: 1.0385 (0.009)
Ratio: 0.1393 (0.0327)
Analysis finished at Tue Feb 4 19:25:48 2020
Total time elapsed: 28.46s
{
"af_correlation": 0.9096,
"inflation_factor": 1.2074,
"mean_EFFECT": 0,
"n": 126559,
"n_snps": 2307473,
"n_clumped_hits": 4,
"n_p_sig": 11,
"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": 18060,
"n_est": 104063.0261,
"ratio_se_n": 0.9068,
"mean_diff": -7.2951e-06,
"ratio_diff": 0.8291,
"sd_y_est1": 1.0421,
"sd_y_est2": 0.9449,
"r2_sum1": 0.001,
"r2_sum2": 0.0009,
"r2_sum3": 0.0011,
"r2_sum4": 0.001,
"ldsc_nsnp_merge_refpanel_ld": 1108496,
"ldsc_nsnp_merge_regression_ld": 1108496,
"ldsc_observed_scale_h2_beta": 0.0941,
"ldsc_observed_scale_h2_se": 0.0065,
"ldsc_intercept_beta": 1.0385,
"ldsc_intercept_se": 0.009,
"ldsc_lambda_gc": 1.2365,
"ldsc_mean_chisq": 1.2759,
"ldsc_ratio": 0.1395
}
name | value |
---|---|
af_correlation | FALSE |
inflation_factor | TRUE |
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 | 42 | 0 | 2307473 | 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 | 8.561442e+00 | 5.643161e+00 | 1.00000e+00 | 4.000000e+00 | 8.000000e+00 | 1.200000e+01 | 2.300000e+01 | ▇▅▅▂▂ |
numeric | POS | 0 | 1.0000000 | NA | NA | NA | NA | NA | 7.889051e+07 | 5.556291e+07 | 1.61110e+04 | 3.281803e+07 | 7.034670e+07 | 1.142963e+08 | 2.492107e+08 | ▇▇▅▂▁ |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | 2.580000e-05 | 5.564400e-03 | -3.40000e-02 | -4.000000e-03 | 0.000000e+00 | 4.000000e-03 | 3.500000e-02 | ▁▁▇▁▁ |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.915900e-03 | 1.039100e-03 | 4.00000e-03 | 4.000000e-03 | 5.000000e-03 | 6.000000e-03 | 1.500000e-02 | ▇▁▁▁▁ |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.696646e-01 | 2.965536e-01 | 0.00000e+00 | 2.061000e-01 | 4.585999e-01 | 7.261996e-01 | 1.000000e+00 | ▇▆▆▆▆ |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.674438e-01 | 3.017298e-01 | 0.00000e+00 | 2.112995e-01 | 4.532547e-01 | 7.388827e-01 | 1.000000e+00 | ▇▆▆▆▇ |
numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | 3.678334e-01 | 2.687034e-01 | 1.00000e-02 | 1.300000e-01 | 3.100000e-01 | 5.700000e-01 | 9.900000e-01 | ▇▆▃▃▂ |
numeric | AF_reference | 18060 | 0.9921733 | NA | NA | NA | NA | NA | 3.702108e-01 | 2.500943e-01 | 1.99700e-04 | 1.599440e-01 | 3.128990e-01 | 5.523160e-01 | 1.000000e+00 | ▇▇▅▃▂ |
numeric | N | 0 | 1.0000000 | NA | NA | NA | NA | NA | 1.265590e+05 | 0.000000e+00 | 1.26559e+05 | 1.265590e+05 | 1.265590e+05 | 1.265590e+05 | 1.265590e+05 | ▁▁▇▁▁ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1003629 | rs4075116 | C | T | 0.001 | 0.005 | 0.8374001 | 0.8414806 | 0.78 | 0.720647 | 126559 |
1 | 1005806 | rs3934834 | C | T | -0.007 | 0.005 | 0.1762999 | 0.1615133 | 0.13 | 0.223442 | 126559 |
1 | 1017170 | rs3766193 | C | G | 0.006 | 0.004 | 0.1370999 | 0.1336144 | 0.60 | 0.575479 | 126559 |
1 | 1017197 | rs3766192 | C | T | 0.007 | 0.004 | 0.0978003 | 0.0801183 | 0.61 | 0.511182 | 126559 |
1 | 1017587 | rs3766191 | C | T | -0.008 | 0.005 | 0.1330001 | 0.1095986 | 0.11 | 0.171126 | 126559 |
1 | 1018562 | rs9442371 | C | T | 0.006 | 0.004 | 0.1567000 | 0.1336144 | 0.62 | 0.530152 | 126559 |
1 | 1018704 | rs9442372 | A | G | 0.005 | 0.004 | 0.2272998 | 0.2112995 | 0.63 | 0.611022 | 126559 |
1 | 1021346 | rs10907177 | A | G | -0.008 | 0.005 | 0.1198001 | 0.1095986 | 0.13 | 0.178914 | 126559 |
1 | 1021415 | rs3737728 | A | G | 0.003 | 0.004 | 0.4356001 | 0.4532547 | 0.74 | 0.812700 | 126559 |
1 | 1021583 | rs10907178 | A | C | -0.008 | 0.005 | 0.1201999 | 0.1095986 | 0.11 | 0.173722 | 126559 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
22 | 51163138 | rs715586 | C | T | 0.000 | 0.005 | 0.9653000 | 1.0000000 | 0.16 | 0.0902556 | 126559 |
22 | 51165664 | rs8137951 | G | A | -0.003 | 0.004 | 0.5153995 | 0.4532547 | 0.26 | 0.4063500 | 126559 |
22 | 51171497 | rs2301584 | G | A | -0.006 | 0.005 | 0.2775000 | 0.2301393 | 0.14 | 0.2533950 | 126559 |
22 | 51175626 | rs3810648 | A | G | -0.008 | 0.007 | 0.1997998 | 0.2530979 | 0.07 | 0.1084270 | 126559 |
22 | 51178090 | rs2285395 | G | A | -0.009 | 0.007 | 0.1912000 | 0.1985428 | 0.07 | 0.0666933 | 126559 |
22 | 51196164 | rs8136603 | A | T | -0.010 | 0.007 | 0.1457002 | 0.1531275 | 0.07 | 0.1427720 | 126559 |
23 | 35921591 | rs2204667 | C | G | 0.002 | 0.005 | 0.7413000 | 0.6891565 | 0.16 | NA | 126559 |
23 | 51666786 | rs14115 | A | G | -0.016 | 0.007 | 0.0140501 | 0.0222710 | 0.03 | NA | 126559 |
23 | 70163799 | rs1626496 | A | C | -0.009 | 0.006 | 0.1265001 | 0.1336144 | 0.07 | NA | 126559 |
23 | 118495837 | rs12882977 | G | A | -0.002 | 0.004 | 0.5903003 | 0.6170751 | 0.49 | 0.2307280 | 126559 |
1 1003629 rs4075116 C T . PASS AF=0.78 ES:SE:LP:AF:SS:ID 0.001:0.005:0.077067:0.78:126559:rs4075116
1 1005806 rs3934834 C T . PASS AF=0.13 ES:SE:LP:AF:SS:ID -0.007:0.005:0.753748:0.13:126559:rs3934834
1 1017170 rs3766193 C G . PASS AF=0.6 ES:SE:LP:AF:SS:ID 0.006:0.004:0.862963:0.6:126559:rs3766193
1 1017197 rs3766192 C T . PASS AF=0.61 ES:SE:LP:AF:SS:ID 0.007:0.004:1.00966:0.61:126559:rs3766192
1 1017587 rs3766191 C T . PASS AF=0.11 ES:SE:LP:AF:SS:ID -0.008:0.005:0.876148:0.11:126559:rs3766191
1 1018562 rs9442371 C T . PASS AF=0.62 ES:SE:LP:AF:SS:ID 0.006:0.004:0.804931:0.62:126559:rs9442371
1 1018704 rs9442372 A G . PASS AF=0.63 ES:SE:LP:AF:SS:ID 0.005:0.004:0.643401:0.63:126559:rs9442372
1 1021346 rs10907177 A G . PASS AF=0.13 ES:SE:LP:AF:SS:ID -0.008:0.005:0.921543:0.13:126559:rs10907177
1 1021415 rs3737728 A G . PASS AF=0.74 ES:SE:LP:AF:SS:ID 0.003:0.004:0.360912:0.74:126559:rs3737728
1 1021583 rs10907178 A C . PASS AF=0.11 ES:SE:LP:AF:SS:ID -0.008:0.005:0.920096:0.11:126559:rs10907178
1 1021695 rs9442398 A G . PASS AF=0.76 ES:SE:LP:AF:SS:ID 0.003:0.004:0.353204:0.76:126559:rs9442398
1 1022037 rs6701114 C T . PASS AF=0.59 ES:SE:LP:AF:SS:ID 0.007:0.004:1.06379:0.59:126559:rs6701114
1 1030565 rs6687776 C T . PASS AF=0.09 ES:SE:LP:AF:SS:ID -0.01:0.005:1.1831:0.09:126559:rs6687776
1 1030633 rs6678318 G A . PASS AF=0.09 ES:SE:LP:AF:SS:ID -0.008:0.005:0.852324:0.09:126559:rs6678318
1 1036959 rs11579015 T C . PASS AF=0.06 ES:SE:LP:AF:SS:ID -0.006:0.006:0.555799:0.06:126559:rs11579015
1 1040026 rs6671356 T C . PASS AF=0.08 ES:SE:LP:AF:SS:ID -0.007:0.005:0.63865:0.08:126559:rs6671356
1 1046164 rs6666280 C T . PASS AF=0.07 ES:SE:LP:AF:SS:ID -0.006:0.006:0.512014:0.07:126559:rs6666280
1 1048955 rs4970405 A G . PASS AF=0.06 ES:SE:LP:AF:SS:ID -0.004:0.006:0.305395:0.06:126559:rs4970405
1 1049950 rs12726255 A G . PASS AF=0.07 ES:SE:LP:AF:SS:ID -0.005:0.006:0.45892:0.07:126559:rs12726255
1 1053452 rs4970409 G A . PASS AF=0.06 ES:SE:LP:AF:SS:ID -0.004:0.006:0.315244:0.06:126559:rs4970409
1 1060608 rs17160824 G A . PASS AF=0.06 ES:SE:LP:AF:SS:ID -0.004:0.006:0.284916:0.06:126559:rs17160824
1 1061115 rs17160826 T C . PASS AF=0.06 ES:SE:LP:AF:SS:ID -0.004:0.006:0.328827:0.06:126559:rs17160826
1 1061152 rs12748370 T C . PASS AF=0.06 ES:SE:LP:AF:SS:ID -0.004:0.006:0.294821:0.06:126559:rs12748370
1 1064979 rs2298217 C T . PASS AF=0.09 ES:SE:LP:AF:SS:ID -0.007:0.005:0.646276:0.09:126559:rs2298217
1 1077064 rs4970357 C A . PASS AF=0.93 ES:SE:LP:AF:SS:ID 0.004:0.006:0.253599:0.93:126559:rs4970357
1 1087683 rs9442380 T C . PASS AF=0.91 ES:SE:LP:AF:SS:ID -0.001:0.006:0.0379623:0.91:126559:rs9442380
1 1089262 rs4970358 A G . PASS AF=0.97 ES:SE:LP:AF:SS:ID 0:0.007:0.0109508:0.97:126559:rs4970358
1 1097335 rs9442385 T G . PASS AF=0.94 ES:SE:LP:AF:SS:ID -0.002:0.006:0.145148:0.94:126559:rs9442385
1 1099342 rs9660710 A C . PASS AF=0.94 ES:SE:LP:AF:SS:ID -0.001:0.006:0.0393865:0.94:126559:rs9660710
1 1100217 rs1891905 C T . PASS AF=0.96 ES:SE:LP:AF:SS:ID 0.001:0.007:0.0390063:0.96:126559:rs1891905
1 1121014 rs3813204 G A . PASS AF=0.13 ES:SE:LP:AF:SS:ID 0:0.006:0.0290026:0.13:126559:rs3813204
1 1121794 rs11260549 G A . PASS AF=0.13 ES:SE:LP:AF:SS:ID -0.002:0.006:0.123551:0.13:126559:rs11260549
1 1124663 rs6684820 G A . PASS AF=0.28 ES:SE:LP:AF:SS:ID 0:0.005:0.0183173:0.28:126559:rs6684820
1 1125553 rs10907174 A T . PASS AF=0.24 ES:SE:LP:AF:SS:ID -0.001:0.005:0.119186:0.24:126559:rs10907174
1 1129672 rs11260554 G T . PASS AF=0.13 ES:SE:LP:AF:SS:ID 0.001:0.006:0.0323116:0.13:126559:rs11260554
1 1130727 rs10907175 A C . PASS AF=0.11 ES:SE:LP:AF:SS:ID -0.001:0.006:0.0544822:0.11:126559:rs10907175
1 1135242 rs9729550 A C . PASS AF=0.29 ES:SE:LP:AF:SS:ID 0:0.005:0.032031:0.29:126559:rs9729550
1 1138913 rs3819001 T C . PASS AF=0.05 ES:SE:LP:AF:SS:ID -0.003:0.007:0.16877:0.05:126559:rs3819001
1 1140435 rs1815606 G T . PASS AF=0.33 ES:SE:LP:AF:SS:ID -0.001:0.005:0.0731947:0.33:126559:rs1815606
1 1143657 rs3753348 C G . PASS AF=0.03 ES:SE:LP:AF:SS:ID -0.006:0.007:0.370183:0.03:126559:rs3753348
1 1151300 rs3813200 C T . PASS AF=0.02 ES:SE:LP:AF:SS:ID 0.003:0.008:0.157391:0.02:126559:rs3813200
1 1152631 rs11721 C A . PASS AF=0.09 ES:SE:LP:AF:SS:ID -0.001:0.006:0.0886293:0.09:126559:rs11721
1 1156131 rs2887286 T C . PASS AF=0.19 ES:SE:LP:AF:SS:ID 0.006:0.005:0.553618:0.19:126559:rs2887286
1 1158277 rs3813199 G A . PASS AF=0.11 ES:SE:LP:AF:SS:ID 0.003:0.006:0.251579:0.11:126559:rs3813199
1 1162435 rs3766186 C A . PASS AF=0.11 ES:SE:LP:AF:SS:ID 0.004:0.006:0.322758:0.11:126559:rs3766186
1 1163804 rs7515488 C T . PASS AF=0.15 ES:SE:LP:AF:SS:ID -0.002:0.005:0.184223:0.15:126559:rs7515488
1 1165310 rs11260562 G A . PASS AF=0.05 ES:SE:LP:AF:SS:ID -0.008:0.007:0.676335:0.05:126559:rs11260562
1 1176597 rs6675798 T C . PASS AF=0.11 ES:SE:LP:AF:SS:ID 0.004:0.006:0.308388:0.11:126559:rs6675798
1 1181751 rs6603783 T C . PASS AF=0.11 ES:SE:LP:AF:SS:ID 0.004:0.006:0.309538:0.11:126559:rs6603783
1 1188225 rs6603787 G T . PASS AF=0.08 ES:SE:LP:AF:SS:ID 0.001:0.007:0.0475466:0.08:126559:rs6603787