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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-I9_UAP/ukb-d-I9_UAP.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-I9_UAP/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 16:47:28 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-I9_UAP/ukb-d-I9_UAP.vcf.gz ...
Read summary statistics for 11385654 SNPs.
Dropped 9622 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, 1282481 SNPs remain.
After merging with regression SNP LD, 1282481 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.0081 (0.0015)
Lambda GC: 1.0437
Mean Chi^2: 1.0554
Intercept: 0.9983 (0.0073)
Ratio < 0 (usually indicates GC correction).
Analysis finished at Mon Nov 25 16:49:10 2019
Total time elapsed: 1.0m:42.25s
{
"af_correlation": 0.9472,
"inflation_factor": 1.0367,
"mean_EFFECT": 1.9689e-06,
"n": 361194,
"n_snps": 11385654,
"n_clumped_hits": 3,
"n_p_sig": 87,
"n_mono": 0,
"n_ns": 1156470,
"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": 237211,
"n_est": 361766.4538,
"ratio_se_n": 1.0008,
"mean_diff": 0,
"ratio_diff": 766.6416,
"sd_y_est1": 0.0972,
"sd_y_est2": 0.0973,
"r2_sum1": 3.5691e-06,
"r2_sum2": 0.0004,
"r2_sum3": 0.0004,
"r2_sum4": 0.0004,
"ldsc_nsnp_merge_refpanel_ld": 1282481,
"ldsc_nsnp_merge_regression_ld": 1282481,
"ldsc_observed_scale_h2_beta": 0.0081,
"ldsc_observed_scale_h2_se": 0.0015,
"ldsc_intercept_beta": 0.9983,
"ldsc_intercept_se": 0.0073,
"ldsc_lambda_gc": 1.0437,
"ldsc_mean_chisq": 1.0554,
"ldsc_ratio": -0.0307
}
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 | 11376633 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | REF | 0 | 1.0000000 | 1 | 100 | 0 | 52005 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | ALT | 0 | 1.0000000 | 1 | 342 | 0 | 31636 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
numeric | CHROM | 0 | 1.0000000 | NA | NA | NA | NA | NA | 9.073939e+00 | 6.183004e+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 | 7.884477e+07 | 5.600250e+07 | 3.02000e+02 | 3.263254e+07 | 6.984869e+07 | 1.147360e+08 | 2.492309e+08 | ▇▆▅▂▁ |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | 2.000000e-06 | 7.741000e-04 | -9.44120e-03 | -2.949000e-04 | -2.400000e-06 | 2.905000e-04 | 1.019160e-02 | ▁▁▇▁▁ |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | 6.117000e-04 | 4.677000e-04 | 1.88100e-04 | 2.592000e-04 | 3.906000e-04 | 8.286000e-04 | 2.722700e-03 | ▇▂▁▁▁ |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.945642e-01 | 2.909159e-01 | 0.00000e+00 | 2.411349e-01 | 4.922435e-01 | 7.474842e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.945638e-01 | 2.909162e-01 | 0.00000e+00 | 2.411344e-01 | 4.922425e-01 | 7.474837e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | 2.256170e-01 | 2.609646e-01 | 3.63480e-03 | 2.036990e-02 | 1.080140e-01 | 3.606010e-01 | 9.963650e-01 | ▇▂▁▁▁ |
numeric | AF_reference | 237211 | 0.9791658 | NA | NA | NA | NA | NA | 2.261737e-01 | 2.521854e-01 | 0.00000e+00 | 1.797120e-02 | 1.261980e-01 | 3.602240e-01 | 1.000000e+00 | ▇▂▂▁▁ |
numeric | N | 0 | 1.0000000 | NA | NA | NA | NA | NA | 3.611940e+05 | 0.000000e+00 | 3.61194e+05 | 3.611940e+05 | 3.611940e+05 | 3.611940e+05 | 3.611940e+05 | ▁▁▇▁▁ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 692794 | rs530212009 | CA | C | -0.0002601 | 0.0004007 | 0.5163129 | 0.5163130 | 0.1106400 | 0.1894970 | 361194 |
1 | 693731 | rs12238997 | A | G | -0.0000847 | 0.0003787 | 0.8230140 | 0.8230136 | 0.1158300 | 0.1417730 | 361194 |
1 | 707522 | rs371890604 | G | C | 0.0000543 | 0.0004257 | 0.8985300 | 0.8985302 | 0.0973034 | 0.1293930 | 361194 |
1 | 717587 | rs144155419 | G | A | 0.0007467 | 0.0010158 | 0.4622607 | 0.4622587 | 0.0156880 | 0.0045926 | 361194 |
1 | 730087 | rs148120343 | T | C | -0.0004284 | 0.0005275 | 0.4167283 | 0.4167265 | 0.0564602 | 0.0127796 | 361194 |
1 | 731718 | rs142557973 | T | C | 0.0000021 | 0.0003591 | 0.9952250 | 0.9952251 | 0.1217380 | 0.1543530 | 361194 |
1 | 732032 | rs61770163 | A | C | 0.0002716 | 0.0003831 | 0.4782963 | 0.4782959 | 0.1211710 | 0.1555510 | 361194 |
1 | 734349 | rs141242758 | T | C | 0.0000135 | 0.0003593 | 0.9699729 | 0.9699731 | 0.1209650 | 0.1525560 | 361194 |
1 | 740284 | rs61770167 | C | T | -0.0025612 | 0.0016438 | 0.1192101 | 0.1192098 | 0.0057851 | 0.0023962 | 361194 |
1 | 749963 | rs529266287 | T | TAA | -0.0000441 | 0.0003542 | 0.9008731 | 0.9008726 | 0.8697420 | 0.7641770 | 361194 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
23 | 154923311 | rs141127553 | C | T | -0.0000986 | 0.0004149 | 0.8122141 | 0.8122137 | 0.0561667 | 0.0309934 | 361194 |
23 | 154923374 | rs111332691 | T | A | 0.0003191 | 0.0004560 | 0.4840297 | 0.4840302 | 0.0447862 | 0.0116556 | 361194 |
23 | 154925045 | rs509981 | C | T | 0.0000555 | 0.0002194 | 0.8002010 | 0.8002011 | 0.2456060 | 0.3634440 | 361194 |
23 | 154925895 | rs538470 | C | T | 0.0000486 | 0.0002244 | 0.8284811 | 0.8284813 | 0.2419150 | 0.3634440 | 361194 |
23 | 154927581 | rs644138 | G | A | 0.0000414 | 0.0002063 | 0.8408310 | 0.8408313 | 0.3021620 | 0.4635760 | 361194 |
23 | 154929412 | rs557132 | C | T | 0.0000446 | 0.0002194 | 0.8390920 | 0.8390914 | 0.2454590 | 0.3568210 | 361194 |
23 | 154929637 | rs35185538 | CT | C | 0.0000269 | 0.0002290 | 0.9063380 | 0.9063379 | 0.2296970 | 0.3011920 | 361194 |
23 | 154929952 | rs4012982 | CAA | C | 0.0000551 | 0.0002308 | 0.8114370 | 0.8114374 | 0.2394250 | 0.3165560 | 361194 |
23 | 154930230 | rs781880 | A | G | 0.0000466 | 0.0002194 | 0.8319151 | 0.8319152 | 0.2458690 | 0.3618540 | 361194 |
23 | 154930487 | rs781879 | T | A | -0.0006469 | 0.0007527 | 0.3900704 | 0.3900695 | 0.0195623 | 0.1263580 | 361194 |
1 692794 rs530212009 CA C . PASS AF=0.11064 ES:SE:LP:AF:SS:ID -0.000260096:0.00040074:0.287087:0.11064:361194:1_692794_CA_C
1 693731 rs12238997 A G . PASS AF=0.11583 ES:SE:LP:AF:SS:ID -8.46931e-05:0.000378651:0.0845928:0.11583:361194:rs12238997
1 707522 rs371890604 G C . PASS AF=0.0973034 ES:SE:LP:AF:SS:ID 5.42821e-05:0.000425681:0.0464674:0.0973034:361194:rs371890604
1 717587 rs144155419 G A . PASS AF=0.015688 ES:SE:LP:AF:SS:ID 0.000746733:0.00101578:0.335113:0.015688:361194:rs144155419
1 730087 rs148120343 T C . PASS AF=0.0564602 ES:SE:LP:AF:SS:ID -0.000428398:0.00052751:0.380147:0.0564602:361194:rs148120343
1 731718 rs58276399 T C . PASS AF=0.121738 ES:SE:LP:AF:SS:ID 2.14909e-06:0.000359113:0.00207872:0.121738:361194:rs58276399
1 732032 rs61770163 A C . PASS AF=0.121171 ES:SE:LP:AF:SS:ID 0.00027161:0.000383064:0.320303:0.121171:361194:rs61770163
1 734349 rs141242758 T C . PASS AF=0.120965 ES:SE:LP:AF:SS:ID 1.3525e-05:0.000359306:0.0132404:0.120965:361194:rs141242758
1 740284 rs61770167 C T . PASS AF=0.00578512 ES:SE:LP:AF:SS:ID -0.00256125:0.00164383:0.923687:0.00578512:361194:rs61770167
1 749963 rs529266287 T TAA . PASS AF=0.869742 ES:SE:LP:AF:SS:ID -4.41212e-05:0.000354219:0.0453364:0.869742:361194:rs529266287
1 751343 rs28544273 T A . PASS AF=0.122916 ES:SE:LP:AF:SS:ID 2.27116e-05:0.000350808:0.0230176:0.122916:361194:rs28544273
1 751488 rs200141114 G GA . PASS AF=0.142712 ES:SE:LP:AF:SS:ID -2.28234e-05:0.000346754:0.0234112:0.142712:361194:rs200141114
1 751756 rs28527770 T C . PASS AF=0.123031 ES:SE:LP:AF:SS:ID 2.13789e-05:0.000350319:0.0216652:0.123031:361194:rs28527770
1 753405 rs3115860 C A . PASS AF=0.87089 ES:SE:LP:AF:SS:ID -1.45672e-05:0.000341375:0.0150395:0.87089:361194:rs3115860
1 753425 rs3131970 T C . PASS AF=0.875472 ES:SE:LP:AF:SS:ID -6.42094e-05:0.000347032:0.0689441:0.875472:361194:rs3131970
1 753541 rs2073813 G A . PASS AF=0.128631 ES:SE:LP:AF:SS:ID -2.07819e-05:0.000342231:0.0215556:0.128631:361194:rs2073813
1 754105 rs12184325 C T . PASS AF=0.0363613 ES:SE:LP:AF:SS:ID 4.42792e-05:0.000620885:0.0254211:0.0363613:361194:rs12184325
1 754182 rs3131969 A G . PASS AF=0.870484 ES:SE:LP:AF:SS:ID -1.30837e-05:0.00034102:0.0134988:0.870484:361194:rs3131969
1 754192 rs3131968 A G . PASS AF=0.870589 ES:SE:LP:AF:SS:ID -2.1705e-05:0.000341175:0.0226084:0.870589:361194:rs3131968
1 754334 rs3131967 T C . PASS AF=0.870481 ES:SE:LP:AF:SS:ID -1.33826e-05:0.000341007:0.0138125:0.870481:361194:rs3131967
1 754433 rs150578204 G A . PASS AF=0.00504367 ES:SE:LP:AF:SS:ID -0.00214982:0.00175067:0.65867:0.00504367:361194:rs150578204
1 754458 rs142682604 G T . PASS AF=0.00501064 ES:SE:LP:AF:SS:ID -0.00213273:0.00175535:0.649033:0.00501064:361194:rs142682604
1 755435 rs184270342 T G . PASS AF=0.00558665 ES:SE:LP:AF:SS:ID -0.004247:0.00169555:1.91176:0.00558665:361194:rs184270342
1 755890 rs3115858 A T . PASS AF=0.870563 ES:SE:LP:AF:SS:ID -2.91265e-05:0.000340407:0.0306712:0.870563:361194:rs3115858
1 756434 rs61768170 G C . PASS AF=0.125985 ES:SE:LP:AF:SS:ID 2.98385e-06:0.00034734:0.0029869:0.125985:361194:rs61768170
1 756604 rs3131962 A G . PASS AF=0.870127 ES:SE:LP:AF:SS:ID -1.91694e-05:0.000339588:0.0200039:0.870127:361194:rs3131962
1 757640 rs3115853 G A . PASS AF=0.869414 ES:SE:LP:AF:SS:ID -5.2871e-06:0.000339278:0.00543343:0.869414:361194:rs3115853
1 757734 rs4951929 C T . PASS AF=0.870281 ES:SE:LP:AF:SS:ID -2.24897e-05:0.00033988:0.0235386:0.870281:361194:rs4951929
1 757936 rs4951862 C A . PASS AF=0.870287 ES:SE:LP:AF:SS:ID -2.1408e-05:0.000339904:0.0223765:0.870287:361194:rs4951862
1 758144 rs3131956 A G . PASS AF=0.870295 ES:SE:LP:AF:SS:ID -2.28513e-05:0.000339915:0.0239248:0.870295:361194:rs3131956
1 758626 rs3131954 C T . PASS AF=0.870739 ES:SE:LP:AF:SS:ID -3.77642e-05:0.00034078:0.0401185:0.870739:361194:rs3131954
1 759293 rs10157329 T A . PASS AF=0.0988442 ES:SE:LP:AF:SS:ID -9.09287e-05:0.000396007:0.0870386:0.0988442:361194:rs10157329
1 759600 rs545998451 AGT A . PASS AF=0.00647588 ES:SE:LP:AF:SS:ID -0.00323061:0.00153177:1.45669:0.00647588:361194:1_759600_AGT_A
1 759837 rs3115851 T A . PASS AF=0.874635 ES:SE:LP:AF:SS:ID -2.12165e-05:0.000345859:0.0217807:0.874635:361194:rs3115851
1 761732 rs2286139 C T . PASS AF=0.864027 ES:SE:LP:AF:SS:ID -2.04543e-05:0.000339166:0.0214037:0.864027:361194:rs2286139
1 761752 rs1057213 C T . PASS AF=0.869425 ES:SE:LP:AF:SS:ID -6.19305e-06:0.000342459:0.00631164:0.869425:361194:rs1057213
1 762273 rs3115849 G A . PASS AF=0.866371 ES:SE:LP:AF:SS:ID 2.62163e-05:0.000342528:0.0273386:0.866371:361194:rs3115849
1 762485 rs12095200 C A . PASS AF=0.0987831 ES:SE:LP:AF:SS:ID 0.000161039:0.00041007:0.158306:0.0987831:361194:rs12095200
1 762589 rs3115848 G C . PASS AF=0.871556 ES:SE:LP:AF:SS:ID 3.25899e-05:0.000346431:0.0338343:0.871556:361194:rs3115848
1 762592 rs3131950 C G . PASS AF=0.871556 ES:SE:LP:AF:SS:ID 3.25942e-05:0.000346431:0.033839:0.871556:361194:rs3131950
1 762601 rs3131949 T C . PASS AF=0.871555 ES:SE:LP:AF:SS:ID 3.24647e-05:0.000346437:0.0336991:0.871555:361194:rs3131949
1 762632 rs3131948 T A . PASS AF=0.871929 ES:SE:LP:AF:SS:ID 1.30787e-05:0.000346635:0.0132717:0.871929:361194:rs3131948
1 764191 rs7515915 T G . PASS AF=0.125562 ES:SE:LP:AF:SS:ID -1.25752e-05:0.000346908:0.0127432:0.125562:361194:rs7515915
1 766007 rs61768174 A C . PASS AF=0.105428 ES:SE:LP:AF:SS:ID -7.97915e-05:0.000377657:0.0795276:0.105428:361194:rs61768174
1 766105 rs2519015 T A . PASS AF=0.855376 ES:SE:LP:AF:SS:ID -9.9273e-06:0.000339039:0.010265:0.855376:361194:rs2519015
1 768116 rs376645387 A AGTTTT . PASS AF=0.838358 ES:SE:LP:AF:SS:ID -0.000280741:0.000334014:0.397262:0.838358:361194:rs376645387
1 768253 rs2977608 A C . PASS AF=0.763351 ES:SE:LP:AF:SS:ID -6.91978e-05:0.000268819:0.0986185:0.763351:361194:rs2977608
1 768448 rs12562034 G A . PASS AF=0.105921 ES:SE:LP:AF:SS:ID 0.000152795:0.000370367:0.167532:0.105921:361194:rs12562034
1 768819 rs12562811 C T . PASS AF=0.00768395 ES:SE:LP:AF:SS:ID 0.000980433:0.00137608:0.322242:0.00768395:361194:rs12562811
1 769138 rs59306077 CAT C . PASS AF=0.128938 ES:SE:LP:AF:SS:ID -3.49117e-05:0.000342055:0.0368234:0.128938:361194:rs762168062