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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-22604_1/ukb-d-22604_1.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-22604_1/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 16:36:18 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-22604_1/ukb-d-22604_1.vcf.gz ...
Read summary statistics for 13282260 SNPs.
Dropped 12298 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, 1283452 SNPs remain.
After merging with regression SNP LD, 1283452 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.0047 (0.0049)
Lambda GC: 1.008
Mean Chi^2: 1.0096
Intercept: 1.0028 (0.0061)
Ratio: 0.286 (0.6329)
Analysis finished at Mon Nov 25 16:38:18 2019
Total time elapsed: 2.0m:0.23s
{
"af_correlation": 0.9516,
"inflation_factor": 0.9998,
"mean_EFFECT": -9.3997e-06,
"n": 75177,
"n_snps": 13282260,
"n_clumped_hits": 0,
"n_p_sig": 0,
"n_mono": 0,
"n_ns": 1240967,
"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": 491570,
"n_est": 75469.5464,
"ratio_se_n": 1.0019,
"mean_diff": -0,
"ratio_diff": 28.577,
"sd_y_est1": 0.3336,
"sd_y_est2": 0.3343,
"r2_sum1": 0,
"r2_sum2": 0,
"r2_sum3": 0,
"r2_sum4": 0,
"ldsc_nsnp_merge_refpanel_ld": 1283452,
"ldsc_nsnp_merge_regression_ld": 1283452,
"ldsc_observed_scale_h2_beta": 0.0047,
"ldsc_observed_scale_h2_se": 0.0049,
"ldsc_intercept_beta": 1.0028,
"ldsc_intercept_se": 0.0061,
"ldsc_lambda_gc": 1.008,
"ldsc_mean_chisq": 1.0096,
"ldsc_ratio": 0.2917
}
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 | 13270621 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | REF | 0 | 1.0000000 | 1 | 100 | 0 | 56461 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | ALT | 0 | 1.0000000 | 1 | 342 | 0 | 33169 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
numeric | CHROM | 0 | 1.0000000 | NA | NA | NA | NA | NA | 9.055478e+00 | 6.185851e+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 | 7.900101e+07 | 5.592709e+07 | 3.02000e+02 | 3.288331e+07 | 7.009533e+07 | 1.148340e+08 | 2.492309e+08 | ▇▆▅▂▁ |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | -9.400000e-06 | 9.302800e-03 | -1.00135e-01 | -2.602400e-03 | -1.960000e-05 | 2.544400e-03 | 1.259090e-01 | ▁▁▇▁▁ |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | 6.782800e-03 | 6.378200e-03 | 1.43060e-03 | 2.043000e-03 | 3.651200e-03 | 9.684800e-03 | 3.458970e-02 | ▇▂▁▁▁ |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | 5.000290e-01 | 2.884650e-01 | 1.00000e-07 | 2.506969e-01 | 5.000345e-01 | 7.496352e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | 5.000269e-01 | 2.884663e-01 | 1.00000e-07 | 2.506933e-01 | 5.000320e-01 | 7.496351e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | 1.949337e-01 | 2.554040e-01 | 1.23940e-03 | 8.532000e-03 | 6.523420e-02 | 3.035040e-01 | 9.987600e-01 | ▇▂▁▁▁ |
numeric | AF_reference | 491570 | 0.9629905 | NA | NA | NA | NA | NA | 1.994382e-01 | 2.477833e-01 | 0.00000e+00 | 6.389800e-03 | 8.845850e-02 | 3.140970e-01 | 1.000000e+00 | ▇▂▁▁▁ |
numeric | N | 0 | 1.0000000 | NA | NA | NA | NA | NA | 7.517700e+04 | 0.000000e+00 | 7.51770e+04 | 7.517700e+04 | 7.517700e+04 | 7.517700e+04 | 7.517700e+04 | ▁▁▇▁▁ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 692794 | rs530212009 | CA | C | -0.0048013 | 0.0030093 | 0.1106081 | 0.1106032 | 0.1115640 | 0.1894970 | 75177 |
1 | 693731 | rs12238997 | A | G | -0.0034140 | 0.0028493 | 0.2308458 | 0.2308424 | 0.1164770 | 0.1417730 | 75177 |
1 | 707522 | rs371890604 | G | C | -0.0052878 | 0.0032024 | 0.0986984 | 0.0986937 | 0.0977849 | 0.1293930 | 75177 |
1 | 717587 | rs144155419 | G | A | -0.0096979 | 0.0075983 | 0.2018422 | 0.2018376 | 0.0159063 | 0.0045926 | 75177 |
1 | 723329 | rs189787166 | A | T | -0.0046055 | 0.0222805 | 0.8362411 | 0.8362403 | 0.0017753 | 0.0003994 | 75177 |
1 | 730087 | rs148120343 | T | C | -0.0021156 | 0.0039508 | 0.5923195 | 0.5923176 | 0.0569733 | 0.0127796 | 75177 |
1 | 731718 | rs142557973 | T | C | -0.0038948 | 0.0027028 | 0.1495871 | 0.1495823 | 0.1223380 | 0.1543530 | 75177 |
1 | 732032 | rs61770163 | A | C | -0.0057843 | 0.0028845 | 0.0449314 | 0.0449276 | 0.1218660 | 0.1555510 | 75177 |
1 | 734349 | rs141242758 | T | C | -0.0039250 | 0.0027045 | 0.1467040 | 0.1467002 | 0.1216090 | 0.1525560 | 75177 |
1 | 740284 | rs61770167 | C | T | -0.0049895 | 0.0122498 | 0.6837810 | 0.6837783 | 0.0058807 | 0.0023962 | 75177 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
23 | 154923311 | rs141127553 | C | T | 0.0054804 | 0.0032026 | 0.0870382 | 0.0870337 | 0.0546566 | 0.0309934 | 75177 |
23 | 154923374 | rs111332691 | T | A | -0.0000482 | 0.0034529 | 0.9888540 | 0.9888536 | 0.0450404 | 0.0116556 | 75177 |
23 | 154925045 | rs509981 | C | T | -0.0002888 | 0.0016704 | 0.8627409 | 0.8627411 | 0.2443920 | 0.3634440 | 75177 |
23 | 154925895 | rs538470 | C | T | -0.0003540 | 0.0017076 | 0.8357610 | 0.8357597 | 0.2408890 | 0.3634440 | 75177 |
23 | 154927581 | rs644138 | G | A | 0.0010688 | 0.0015730 | 0.4968165 | 0.4968169 | 0.2994310 | 0.4635760 | 75177 |
23 | 154929412 | rs557132 | C | T | -0.0003031 | 0.0016707 | 0.8560261 | 0.8560252 | 0.2442760 | 0.3568210 | 75177 |
23 | 154929637 | rs35185538 | CT | C | 0.0000507 | 0.0017443 | 0.9768071 | 0.9768068 | 0.2287170 | 0.3011920 | 75177 |
23 | 154929952 | rs4012982 | CAA | C | -0.0005297 | 0.0017580 | 0.7631695 | 0.7631681 | 0.2382650 | 0.3165560 | 75177 |
23 | 154930230 | rs781880 | A | G | -0.0004188 | 0.0016703 | 0.8020449 | 0.8020441 | 0.2447030 | 0.3618540 | 75177 |
23 | 154930487 | rs781879 | T | A | -0.0052243 | 0.0056755 | 0.3573173 | 0.3573141 | 0.0195950 | 0.1263580 | 75177 |
1 692794 rs530212009 CA C . PASS AF=0.111564 ES:SE:LP:AF:SS:ID -0.00480127:0.00300928:0.956213:0.111564:75177:1_692794_CA_C
1 693731 rs12238997 A G . PASS AF=0.116477 ES:SE:LP:AF:SS:ID -0.00341396:0.00284926:0.636678:0.116477:75177:rs12238997
1 707522 rs371890604 G C . PASS AF=0.0977849 ES:SE:LP:AF:SS:ID -0.0052878:0.00320236:1.00569:0.0977849:75177:rs371890604
1 717587 rs144155419 G A . PASS AF=0.0159063 ES:SE:LP:AF:SS:ID -0.00969794:0.00759828:0.694988:0.0159063:75177:rs144155419
1 723329 rs189787166 A T . PASS AF=0.00177526 ES:SE:LP:AF:SS:ID -0.00460549:0.0222805:0.0776685:0.00177526:75177:rs189787166
1 730087 rs148120343 T C . PASS AF=0.0569733 ES:SE:LP:AF:SS:ID -0.00211555:0.00395075:0.227444:0.0569733:75177:rs148120343
1 731718 rs58276399 T C . PASS AF=0.122338 ES:SE:LP:AF:SS:ID -0.00389483:0.00270285:0.825106:0.122338:75177:rs58276399
1 732032 rs61770163 A C . PASS AF=0.121866 ES:SE:LP:AF:SS:ID -0.00578428:0.00288445:1.34745:0.121866:75177:rs61770163
1 734349 rs141242758 T C . PASS AF=0.121609 ES:SE:LP:AF:SS:ID -0.00392496:0.00270447:0.833558:0.121609:75177:rs141242758
1 740284 rs61770167 C T . PASS AF=0.00588068 ES:SE:LP:AF:SS:ID -0.0049895:0.0122498:0.165083:0.00588068:75177:rs61770167
1 742813 rs112573343 C T . PASS AF=0.00180846 ES:SE:LP:AF:SS:ID 0.02329:0.0238593:0.482807:0.00180846:75177:rs112573343
1 749963 rs529266287 T TAA . PASS AF=0.868816 ES:SE:LP:AF:SS:ID 0.00431027:0.00266098:0.977662:0.868816:75177:rs529266287
1 750230 rs190826124 G C . PASS AF=0.00165878 ES:SE:LP:AF:SS:ID -0.00859814:0.0230653:0.149159:0.00165878:75177:rs190826124
1 751343 rs28544273 T A . PASS AF=0.123758 ES:SE:LP:AF:SS:ID -0.00370783:0.00263824:0.796152:0.123758:75177:rs28544273
1 751488 rs200141114 G GA . PASS AF=0.143056 ES:SE:LP:AF:SS:ID -0.00248787:0.00261396:0.466966:0.143056:75177:rs200141114
1 751756 rs28527770 T C . PASS AF=0.123902 ES:SE:LP:AF:SS:ID -0.00365355:0.00263431:0.78127:0.123902:75177:rs28527770
1 753405 rs3115860 C A . PASS AF=0.869912 ES:SE:LP:AF:SS:ID 0.00332356:0.00256692:0.709067:0.869912:75177:rs3115860
1 753425 rs3131970 T C . PASS AF=0.874529 ES:SE:LP:AF:SS:ID 0.00380322:0.00260842:0.839144:0.874529:75177:rs3131970
1 753541 rs2073813 G A . PASS AF=0.129553 ES:SE:LP:AF:SS:ID -0.00347342:0.00257511:0.751068:0.129553:75177:rs2073813
1 754105 rs12184325 C T . PASS AF=0.0360084 ES:SE:LP:AF:SS:ID -0.00374728:0.00469013:0.372318:0.0360084:75177:rs12184325
1 754182 rs3131969 A G . PASS AF=0.869552 ES:SE:LP:AF:SS:ID 0.00333021:0.00256486:0.711851:0.869552:75177:rs3131969
1 754192 rs3131968 A G . PASS AF=0.869633 ES:SE:LP:AF:SS:ID 0.00324437:0.00256582:0.685985:0.869633:75177:rs3131968
1 754334 rs3131967 T C . PASS AF=0.869547 ES:SE:LP:AF:SS:ID 0.00333434:0.00256475:0.713131:0.869547:75177:rs3131967
1 754433 rs150578204 G A . PASS AF=0.00528791 ES:SE:LP:AF:SS:ID 0.0114307:0.0128717:0.426527:0.00528791:75177:rs150578204
1 754458 rs142682604 G T . PASS AF=0.00525393 ES:SE:LP:AF:SS:ID 0.0117647:0.0129041:0.441379:0.00525393:75177:rs142682604
1 755435 rs184270342 T G . PASS AF=0.00558736 ES:SE:LP:AF:SS:ID -0.0253253:0.0126888:1.33771:0.00558736:75177:rs184270342
1 755890 rs3115858 A T . PASS AF=0.869525 ES:SE:LP:AF:SS:ID 0.00349477:0.00255925:0.764252:0.869525:75177:rs3115858
1 756434 rs61768170 G C . PASS AF=0.126948 ES:SE:LP:AF:SS:ID -0.00392277:0.00261354:0.874926:0.126948:75177:rs61768170
1 756604 rs3131962 A G . PASS AF=0.869049 ES:SE:LP:AF:SS:ID 0.0037381:0.00255276:0.844339:0.869049:75177:rs3131962
1 757640 rs3115853 G A . PASS AF=0.868472 ES:SE:LP:AF:SS:ID 0.00320687:0.00255156:0.68023:0.868472:75177:rs3115853
1 757734 rs4951929 C T . PASS AF=0.869198 ES:SE:LP:AF:SS:ID 0.00361736:0.00255502:0.804535:0.869198:75177:rs4951929
1 757936 rs4951862 C A . PASS AF=0.869203 ES:SE:LP:AF:SS:ID 0.00361528:0.00255519:0.803799:0.869203:75177:rs4951862
1 758144 rs3131956 A G . PASS AF=0.869206 ES:SE:LP:AF:SS:ID 0.00361091:0.00255522:0.8024:0.869206:75177:rs3131956
1 758626 rs3131954 C T . PASS AF=0.869689 ES:SE:LP:AF:SS:ID 0.00347001:0.00256184:0.755522:0.869689:75177:rs3131954
1 759293 rs10157329 T A . PASS AF=0.0991701 ES:SE:LP:AF:SS:ID -0.00399791:0.00298064:0.74514:0.0991701:75177:rs10157329
1 759600 rs545998451 AGT A . PASS AF=0.00642849 ES:SE:LP:AF:SS:ID -0.0231832:0.0115436:1.35053:0.00642849:75177:1_759600_AGT_A
1 759837 rs3115851 T A . PASS AF=0.873648 ES:SE:LP:AF:SS:ID 0.00368255:0.00259938:0.80528:0.873648:75177:rs3115851
1 761732 rs2286139 C T . PASS AF=0.863065 ES:SE:LP:AF:SS:ID 0.00350443:0.00255072:0.770892:0.863065:75177:rs2286139
1 761752 rs1057213 C T . PASS AF=0.868456 ES:SE:LP:AF:SS:ID 0.00398216:0.00257509:0.913608:0.868456:75177:rs1057213
1 762273 rs3115849 G A . PASS AF=0.865365 ES:SE:LP:AF:SS:ID 0.00402211:0.00257601:0.926502:0.865365:75177:rs3115849
1 762485 rs12095200 C A . PASS AF=0.0995942 ES:SE:LP:AF:SS:ID -0.00586238:0.00308253:1.2426:0.0995942:75177:rs12095200
1 762589 rs3115848 G C . PASS AF=0.870659 ES:SE:LP:AF:SS:ID 0.00379583:0.00260514:0.838315:0.870659:75177:rs3115848
1 762592 rs3131950 C G . PASS AF=0.870659 ES:SE:LP:AF:SS:ID 0.00379645:0.00260514:0.838512:0.870659:75177:rs3131950
1 762601 rs3131949 T C . PASS AF=0.870656 ES:SE:LP:AF:SS:ID 0.00379745:0.00260515:0.838824:0.870656:75177:rs3131949
1 762632 rs3131948 T A . PASS AF=0.871036 ES:SE:LP:AF:SS:ID 0.00371426:0.00260642:0.812059:0.871036:75177:rs3131948
1 764191 rs7515915 T G . PASS AF=0.126586 ES:SE:LP:AF:SS:ID -0.00380562:0.00260933:0.839483:0.126586:75177:rs7515915
1 766007 rs61768174 A C . PASS AF=0.10597 ES:SE:LP:AF:SS:ID -0.00450301:0.00283663:0.949176:0.10597:75177:rs61768174
1 766105 rs2519015 T A . PASS AF=0.854336 ES:SE:LP:AF:SS:ID 0.00395663:0.00255001:0.918077:0.854336:75177:rs2519015
1 767393 rs538667473 A C . PASS AF=0.00168869 ES:SE:LP:AF:SS:ID -0.00482166:0.0223331:0.0814098:0.00168869:75177:rs538667473
1 768116 rs376645387 A AGTTTT . PASS AF=0.839618 ES:SE:LP:AF:SS:ID -0.00247344:0.00251897:0.486597:0.839618:75177:rs376645387