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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/ukb-d-import/processed/ukb-d-20530/ukb-d-20530.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-d-import/processed/ukb-d-20530/ldsc.txt \
--w-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/
Beginning analysis at Mon Nov 25 17:16:44 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-20530/ukb-d-20530.vcf.gz ...
Read summary statistics for 13571653 SNPs.
Dropped 12695 SNPs with duplicated rs numbers.
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, 1283502 SNPs remain.
After merging with regression SNP LD, 1283502 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.0262 (0.0042)
Lambda GC: 1.0581
Mean Chi^2: 1.0653
Intercept: 1.0041 (0.0069)
Ratio: 0.0631 (0.1061)
Analysis finished at Mon Nov 25 17:19:32 2019
Total time elapsed: 2.0m:48.33s
{
"af_correlation": 0.9521,
"inflation_factor": 1.0352,
"mean_EFFECT": -3.4113e-06,
"n": 117862,
"n_snps": 13571653,
"n_clumped_hits": 1,
"n_p_sig": 8,
"n_mono": 0,
"n_ns": 1251345,
"n_mac": 0,
"is_snpid_unique": false,
"n_miss_EFFECT": 0,
"n_miss_SE": 0,
"n_miss_PVAL": 0,
"n_miss_AF": 0,
"n_miss_AF_reference": 564643,
"n_est": 118291.9567,
"ratio_se_n": 1.0018,
"mean_diff": -5.3423e-06,
"ratio_diff": 4.1823,
"sd_y_est1": 0.3395,
"sd_y_est2": 0.3401,
"r2_sum1": 0,
"r2_sum2": 0.0003,
"r2_sum3": 0.0003,
"r2_sum4": 0.0003,
"ldsc_nsnp_merge_refpanel_ld": 1283502,
"ldsc_nsnp_merge_regression_ld": 1283502,
"ldsc_observed_scale_h2_beta": 0.0262,
"ldsc_observed_scale_h2_se": 0.0042,
"ldsc_intercept_beta": 1.0041,
"ldsc_intercept_se": 0.0069,
"ldsc_lambda_gc": 1.0581,
"ldsc_mean_chisq": 1.0653,
"ldsc_ratio": 0.0628
}
name | value |
---|---|
af_correlation | FALSE |
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 | 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 | 94 | 0 | 13559622 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | REF | 0 | 1.0000000 | 1 | 100 | 0 | 57058 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | ALT | 0 | 1.0000000 | 1 | 342 | 0 | 33331 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
numeric | CHROM | 0 | 1.0000000 | NA | NA | NA | NA | NA | 9.051452e+00 | 6.185076e+00 | 1.00000e+00 | 4.000000e+00 | 8.000000e+00 | 1.300000e+01 | 2.300000e+01 | ▇▅▅▂▂ |
numeric | POS | 0 | 1.0000000 | NA | NA | NA | NA | NA | 7.902506e+07 | 5.591566e+07 | 3.02000e+02 | 3.292821e+07 | 7.013908e+07 | 1.148584e+08 | 2.492309e+08 | ▇▆▅▂▁ |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | -3.400000e-06 | 8.161600e-03 | -1.04787e-01 | -2.217400e-03 | -1.140000e-05 | 2.175700e-03 | 1.137990e-01 | ▁▁▇▁▁ |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | 5.858600e-03 | 5.647300e-03 | 1.15780e-03 | 1.672100e-03 | 3.077200e-03 | 8.412000e-03 | 2.815920e-02 | ▇▂▁▁▁ |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.943346e-01 | 2.906625e-01 | 0.00000e+00 | 2.410749e-01 | 4.925406e-01 | 7.463542e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.943333e-01 | 2.906633e-01 | 0.00000e+00 | 2.410727e-01 | 4.925397e-01 | 7.463549e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | 1.909961e-01 | 2.544487e-01 | 1.00000e-03 | 7.482900e-03 | 6.026530e-02 | 2.956700e-01 | 9.990000e-01 | ▇▂▁▁▁ |
numeric | AF_reference | 564643 | 0.9583954 | NA | NA | NA | NA | NA | 1.964719e-01 | 2.471286e-01 | 0.00000e+00 | 5.790700e-03 | 8.446490e-02 | 3.083070e-01 | 1.000000e+00 | ▇▂▁▁▁ |
numeric | N | 0 | 1.0000000 | NA | NA | NA | NA | NA | 1.178620e+05 | 0.000000e+00 | 1.17862e+05 | 1.178620e+05 | 1.178620e+05 | 1.178620e+05 | 1.178620e+05 | ▁▁▇▁▁ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 692794 | rs530212009 | CA | C | 0.0014613 | 0.0024349 | 0.5484032 | 0.5484006 | 0.1117080 | 0.1894970 | 117862 |
1 | 693731 | rs12238997 | A | G | 0.0018406 | 0.0023058 | 0.4247183 | 0.4247146 | 0.1167260 | 0.1417730 | 117862 |
1 | 707522 | rs371890604 | G | C | 0.0000592 | 0.0025871 | 0.9817280 | 0.9817281 | 0.0983627 | 0.1293930 | 117862 |
1 | 717587 | rs144155419 | G | A | 0.0034204 | 0.0062029 | 0.5813504 | 0.5813499 | 0.0157474 | 0.0045926 | 117862 |
1 | 723329 | rs189787166 | A | T | -0.0052750 | 0.0181312 | 0.7711023 | 0.7711023 | 0.0017674 | 0.0003994 | 117862 |
1 | 730087 | rs148120343 | T | C | 0.0001601 | 0.0032079 | 0.9601889 | 0.9601886 | 0.0569271 | 0.0127796 | 117862 |
1 | 731718 | rs142557973 | T | C | 0.0006126 | 0.0021878 | 0.7794747 | 0.7794739 | 0.1226520 | 0.1543530 | 117862 |
1 | 732032 | rs61770163 | A | C | 0.0027393 | 0.0023318 | 0.2400772 | 0.2400747 | 0.1222520 | 0.1555510 | 117862 |
1 | 734349 | rs141242758 | T | C | 0.0007640 | 0.0021890 | 0.7270546 | 0.7270543 | 0.1219090 | 0.1525560 | 117862 |
1 | 740284 | rs61770167 | C | T | 0.0024565 | 0.0099921 | 0.8058051 | 0.8058040 | 0.0058578 | 0.0023962 | 117862 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
23 | 154923311 | rs141127553 | C | T | 0.0012582 | 0.0025725 | 0.6247813 | 0.6247805 | 0.0554786 | 0.0309934 | 117862 |
23 | 154923374 | rs111332691 | T | A | -0.0040560 | 0.0028036 | 0.1479820 | 0.1479792 | 0.0447982 | 0.0116556 | 117862 |
23 | 154925045 | rs509981 | C | T | 0.0008024 | 0.0013503 | 0.5523546 | 0.5523512 | 0.2446890 | 0.3634440 | 117862 |
23 | 154925895 | rs538470 | C | T | 0.0012364 | 0.0013807 | 0.3705570 | 0.3705557 | 0.2411220 | 0.3634440 | 117862 |
23 | 154927581 | rs644138 | G | A | 0.0011027 | 0.0012705 | 0.3854411 | 0.3854429 | 0.3005210 | 0.4635760 | 117862 |
23 | 154929412 | rs557132 | C | T | 0.0008337 | 0.0013506 | 0.5370701 | 0.5370702 | 0.2445640 | 0.3568210 | 117862 |
23 | 154929637 | rs35185538 | CT | C | 0.0003892 | 0.0014109 | 0.7826922 | 0.7826909 | 0.2288110 | 0.3011920 | 117862 |
23 | 154929952 | rs4012982 | CAA | C | 0.0006982 | 0.0014215 | 0.6233185 | 0.6233186 | 0.2386480 | 0.3165560 | 117862 |
23 | 154930230 | rs781880 | A | G | 0.0007986 | 0.0013503 | 0.5542274 | 0.5542260 | 0.2449910 | 0.3618540 | 117862 |
23 | 154930487 | rs781879 | T | A | -0.0029927 | 0.0045897 | 0.5143752 | 0.5143736 | 0.0196782 | 0.1263580 | 117862 |
1 692794 rs530212009 CA C . PASS AF=0.111708 ES:SE:LP:AF:SS:ID 0.00146132:0.00243489:0.2609:0.111708:117862:1_692794_CA_C
1 693731 rs12238997 A G . PASS AF=0.116726 ES:SE:LP:AF:SS:ID 0.00184064:0.00230579:0.371899:0.116726:117862:rs12238997
1 707522 rs371890604 G C . PASS AF=0.0983627 ES:SE:LP:AF:SS:ID 5.92499e-05:0.00258706:0.00800882:0.0983627:117862:rs371890604
1 717587 rs144155419 G A . PASS AF=0.0157474 ES:SE:LP:AF:SS:ID 0.00342036:0.00620289:0.235562:0.0157474:117862:rs144155419
1 723329 rs189787166 A T . PASS AF=0.00176737 ES:SE:LP:AF:SS:ID -0.00527497:0.0181312:0.112888:0.00176737:117862:rs189787166
1 730087 rs148120343 T C . PASS AF=0.0569271 ES:SE:LP:AF:SS:ID 0.000160129:0.00320791:0.0176433:0.0569271:117862:rs148120343
1 731718 rs58276399 T C . PASS AF=0.122652 ES:SE:LP:AF:SS:ID 0.0006126:0.00218782:0.108198:0.122652:117862:rs58276399
1 732032 rs61770163 A C . PASS AF=0.122252 ES:SE:LP:AF:SS:ID 0.00273934:0.00233175:0.619649:0.122252:117862:rs61770163
1 734349 rs141242758 T C . PASS AF=0.121909 ES:SE:LP:AF:SS:ID 0.000764049:0.00218896:0.138433:0.121909:117862:rs141242758
1 740284 rs61770167 C T . PASS AF=0.00585778 ES:SE:LP:AF:SS:ID 0.00245649:0.00999212:0.09377:0.00585778:117862:rs61770167
1 742813 rs112573343 C T . PASS AF=0.0018353 ES:SE:LP:AF:SS:ID 0.00125875:0.0191604:0.0233653:0.0018353:117862:rs112573343
1 749963 rs529266287 T TAA . PASS AF=0.869012 ES:SE:LP:AF:SS:ID -0.00209195:0.00215678:0.478759:0.869012:117862:rs529266287
1 750230 rs190826124 G C . PASS AF=0.00158334 ES:SE:LP:AF:SS:ID -0.0134506:0.0191946:0.315638:0.00158334:117862:rs190826124
1 751343 rs28544273 T A . PASS AF=0.123693 ES:SE:LP:AF:SS:ID 0.00223689:0.00213692:0.529882:0.123693:117862:rs28544273
1 751488 rs200141114 G GA . PASS AF=0.143318 ES:SE:LP:AF:SS:ID 0.00299327:0.00211382:0.804754:0.143318:117862:rs200141114
1 751756 rs28527770 T C . PASS AF=0.123815 ES:SE:LP:AF:SS:ID 0.00231655:0.00213395:0.556468:0.123815:117862:rs28527770
1 753405 rs3115860 C A . PASS AF=0.869771 ES:SE:LP:AF:SS:ID -0.00234584:0.00207817:0.586727:0.869771:117862:rs3115860
1 753425 rs3131970 T C . PASS AF=0.874559 ES:SE:LP:AF:SS:ID -0.00251747:0.00211306:0.631704:0.874559:117862:rs3131970
1 753541 rs2073813 G A . PASS AF=0.129688 ES:SE:LP:AF:SS:ID 0.00224748:0.002084:0.551549:0.129688:117862:rs2073813
1 754105 rs12184325 C T . PASS AF=0.0365385 ES:SE:LP:AF:SS:ID 0.003415:0.00378424:0.435533:0.0365385:117862:rs12184325
1 754182 rs3131969 A G . PASS AF=0.869364 ES:SE:LP:AF:SS:ID -0.00235399:0.00207619:0.59027:0.869364:117862:rs3131969
1 754192 rs3131968 A G . PASS AF=0.869436 ES:SE:LP:AF:SS:ID -0.00233302:0.00207696:0.582831:0.869436:117862:rs3131968
1 754334 rs3131967 T C . PASS AF=0.869364 ES:SE:LP:AF:SS:ID -0.00236189:0.00207614:0.592992:0.869364:117862:rs3131967
1 754433 rs150578204 G A . PASS AF=0.00512269 ES:SE:LP:AF:SS:ID 0.0246591:0.0106134:1.69552:0.00512269:117862:rs150578204
1 754458 rs142682604 G T . PASS AF=0.00509178 ES:SE:LP:AF:SS:ID 0.0249506:0.0106368:1.7214:0.00509178:117862:rs142682604
1 755435 rs184270342 T G . PASS AF=0.00567944 ES:SE:LP:AF:SS:ID 0.00394408:0.0102427:0.154783:0.00567944:117862:rs184270342
1 755890 rs3115858 A T . PASS AF=0.869437 ES:SE:LP:AF:SS:ID -0.00233233:0.00207231:0.584374:0.869437:117862:rs3115858
1 756434 rs61768170 G C . PASS AF=0.12696 ES:SE:LP:AF:SS:ID 0.00208443:0.00211544:0.48884:0.12696:117862:rs61768170
1 756604 rs3131962 A G . PASS AF=0.868957 ES:SE:LP:AF:SS:ID -0.00234252:0.00206686:0.589964:0.868957:117862:rs3131962
1 757640 rs3115853 G A . PASS AF=0.868357 ES:SE:LP:AF:SS:ID -0.00231588:0.00206608:0.581152:0.868357:117862:rs3115853
1 757734 rs4951929 C T . PASS AF=0.869147 ES:SE:LP:AF:SS:ID -0.00234795:0.00206892:0.591026:0.869147:117862:rs4951929
1 757936 rs4951862 C A . PASS AF=0.869154 ES:SE:LP:AF:SS:ID -0.0023486:0.00206906:0.591192:0.869154:117862:rs4951862
1 758144 rs3131956 A G . PASS AF=0.869156 ES:SE:LP:AF:SS:ID -0.00235089:0.00206908:0.591972:0.869156:117862:rs3131956
1 758626 rs3131954 C T . PASS AF=0.869592 ES:SE:LP:AF:SS:ID -0.00230935:0.00207438:0.575782:0.869592:117862:rs3131954
1 759293 rs10157329 T A . PASS AF=0.099591 ES:SE:LP:AF:SS:ID 0.00112513:0.00241148:0.193273:0.099591:117862:rs10157329
1 759600 rs545998451 AGT A . PASS AF=0.00653887 ES:SE:LP:AF:SS:ID 0.00326554:0.00929751:0.139412:0.00653887:117862:1_759600_AGT_A
1 759837 rs3115851 T A . PASS AF=0.873658 ES:SE:LP:AF:SS:ID -0.00214686:0.00210619:0.511365:0.873658:117862:rs3115851
1 761732 rs2286139 C T . PASS AF=0.86294 ES:SE:LP:AF:SS:ID -0.00247941:0.00206555:0.638272:0.86294:117862:rs2286139
1 761752 rs1057213 C T . PASS AF=0.868341 ES:SE:LP:AF:SS:ID -0.00216267:0.00208545:0.523277:0.868341:117862:rs1057213
1 762273 rs3115849 G A . PASS AF=0.86535 ES:SE:LP:AF:SS:ID -0.00190361:0.00208577:0.441988:0.86535:117862:rs3115849
1 762485 rs12095200 C A . PASS AF=0.0997663 ES:SE:LP:AF:SS:ID 0.00170451:0.00249219:0.306262:0.0997663:117862:rs12095200
1 762589 rs3115848 G C . PASS AF=0.870649 ES:SE:LP:AF:SS:ID -0.0021007:0.00211039:0.495476:0.870649:117862:rs3115848
1 762592 rs3131950 C G . PASS AF=0.870649 ES:SE:LP:AF:SS:ID -0.00210048:0.00211039:0.495407:0.870649:117862:rs3131950
1 762601 rs3131949 T C . PASS AF=0.870647 ES:SE:LP:AF:SS:ID -0.00210475:0.00211039:0.496743:0.870647:117862:rs3131949
1 762632 rs3131948 T A . PASS AF=0.870969 ES:SE:LP:AF:SS:ID -0.00207248:0.00211128:0.4864:0.870969:117862:rs3131948
1 764191 rs7515915 T G . PASS AF=0.126547 ES:SE:LP:AF:SS:ID 0.00201377:0.00211312:0.467754:0.126547:117862:rs7515915
1 766007 rs61768174 A C . PASS AF=0.106346 ES:SE:LP:AF:SS:ID 0.000844461:0.00229642:0.146865:0.106346:117862:rs61768174
1 766105 rs2519015 T A . PASS AF=0.854404 ES:SE:LP:AF:SS:ID -0.00231708:0.00206506:0.581949:0.854404:117862:rs2519015
1 767393 rs538667473 A C . PASS AF=0.00167908 ES:SE:LP:AF:SS:ID -0.00956953:0.0182125:0.22237:0.00167908:117862:rs538667473
1 768116 rs376645387 A AGTTTT . PASS AF=0.839138 ES:SE:LP:AF:SS:ID -0.0035402:0.00204634:1.07764:0.839138:117862:rs376645387