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"gwas_harmonisation_command": "--json /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-20079_5/ukb-d-20079_5_data.json --ref /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/QC/genomes/b37/human_g1k_v37.fasta; 1.1.1",
"file_date": "2019-11-25T15:14:15.280746",
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"bcftools_annotateCommand": "annotate -a /mnt/storage/home/gh13047/mr-eve/vcf-reference-datasets/dbsnp/dbsnp.v153.b37.vcf.gz -c ID -o /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-20079_5/ukb-d-20079_5.vcf.gz -O z /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-20079_5/ukb-d-20079_5_data.vcf.gz; Date=Mon Nov 25 15:46:48 2019",
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"bcftools_viewCommand": "view -h /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukb-d-20079_5/ukb-d-20079_5.vcf.gz; Date=Sun May 10 23:13:02 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-d-import/processed/ukb-d-20079_5/ukb-d-20079_5.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-20079_5/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 16:36:30 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-20079_5/ukb-d-20079_5.vcf.gz ...
Read summary statistics for 13055098 SNPs.
Dropped 11961 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, 1283403 SNPs remain.
After merging with regression SNP LD, 1283403 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: -0.0014 (0.0088)
Lambda GC: 0.9937
Mean Chi^2: 0.9913
Intercept: 0.9927 (0.0063)
Ratio: NA (mean chi^2 < 1)
Analysis finished at Mon Nov 25 16:38:44 2019
Total time elapsed: 2.0m:13.99s
{
"af_correlation": 0.9513,
"inflation_factor": 0.9979,
"mean_EFFECT": -0,
"n": 51427,
"n_snps": 13055098,
"n_clumped_hits": 0,
"n_p_sig": 1,
"n_mono": 0,
"n_ns": 1231540,
"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": 441001,
"n_est": 51640.4288,
"ratio_se_n": 1.0021,
"mean_diff": -0,
"ratio_diff": 67.0131,
"sd_y_est1": 0.3789,
"sd_y_est2": 0.3796,
"r2_sum1": 0,
"r2_sum2": 0,
"r2_sum3": 0,
"r2_sum4": 0,
"ldsc_nsnp_merge_refpanel_ld": 1283403,
"ldsc_nsnp_merge_regression_ld": 1283403,
"ldsc_observed_scale_h2_beta": "NA",
"ldsc_observed_scale_h2_se": "NA",
"ldsc_intercept_beta": 0.9927,
"ldsc_intercept_se": 0.0063,
"ldsc_lambda_gc": 0.9937,
"ldsc_mean_chisq": 0.9913,
"ldsc_ratio": 0.8391
}
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 | TRUE |
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 | 1.00000 | 3 | 94 | 0 | 13043791 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | REF | 0 | 1.00000 | 1 | 100 | 0 | 55966 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | ALT | 0 | 1.00000 | 1 | 342 | 0 | 33002 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
numeric | CHROM | 0 | 1.00000 | NA | NA | NA | NA | NA | 9.057666e+00 | 6.185619e+00 | 1.00000e+00 | 4.000000e+00 | 8.000000e+00 | 1.300000e+01 | 2.300000e+01 | ▇▅▅▂▂ |
numeric | POS | 0 | 1.00000 | NA | NA | NA | NA | NA | 7.898199e+07 | 5.593691e+07 | 3.02000e+02 | 3.284702e+07 | 7.005748e+07 | 1.148242e+08 | 2.492309e+08 | ▇▆▅▂▁ |
numeric | EFFECT | 0 | 1.00000 | NA | NA | NA | NA | NA | -2.220000e-05 | 1.208570e-02 | -1.36982e-01 | -3.489800e-03 | -3.000000e-05 | 3.404300e-03 | 1.603010e-01 | ▁▁▇▁▁ |
numeric | SE | 0 | 1.00000 | NA | NA | NA | NA | NA | 8.875100e-03 | 8.178600e-03 | 1.94490e-03 | 2.788000e-03 | 4.876000e-03 | 1.260540e-02 | 4.387950e-02 | ▇▂▁▁▁ |
numeric | PVAL | 0 | 1.00000 | NA | NA | NA | NA | NA | 5.005302e-01 | 2.887443e-01 | 0.00000e+00 | 2.506502e-01 | 5.004550e-01 | 7.506906e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | PVAL_ztest | 0 | 1.00000 | NA | NA | NA | NA | NA | 5.005271e-01 | 2.887462e-01 | 0.00000e+00 | 2.506449e-01 | 5.004521e-01 | 7.506886e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | AF | 0 | 1.00000 | NA | NA | NA | NA | NA | 1.981692e-01 | 2.561519e-01 | 1.41400e-03 | 9.463600e-03 | 6.955300e-02 | 3.098960e-01 | 9.985860e-01 | ▇▂▁▁▁ |
numeric | AF_reference | 441001 | 0.96622 | NA | NA | NA | NA | NA | 2.019722e-01 | 2.483257e-01 | 0.00000e+00 | 6.988800e-03 | 9.205270e-02 | 3.186900e-01 | 1.000000e+00 | ▇▂▁▁▁ |
numeric | N | 0 | 1.00000 | NA | NA | NA | NA | NA | 5.142700e+04 | 0.000000e+00 | 5.14270e+04 | 5.142700e+04 | 5.142700e+04 | 5.142700e+04 | 5.142700e+04 | ▁▁▇▁▁ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 692794 | rs530212009 | CA | C | 0.0018976 | 0.0041128 | 0.6445224 | 0.6445205 | 0.1121000 | 0.1894970 | 51427 |
1 | 693731 | rs12238997 | A | G | -0.0011190 | 0.0039084 | 0.7746384 | 0.7746367 | 0.1168090 | 0.1417730 | 51427 |
1 | 707522 | rs371890604 | G | C | 0.0052518 | 0.0043834 | 0.2308788 | 0.2308741 | 0.0982930 | 0.1293930 | 51427 |
1 | 717587 | rs144155419 | G | A | -0.0187795 | 0.0105968 | 0.0763695 | 0.0763637 | 0.0154808 | 0.0045926 | 51427 |
1 | 723329 | rs189787166 | A | T | 0.0433932 | 0.0301179 | 0.1496529 | 0.1496475 | 0.0017973 | 0.0003994 | 51427 |
1 | 730087 | rs148120343 | T | C | 0.0045171 | 0.0054427 | 0.4065828 | 0.4065787 | 0.0570822 | 0.0127796 | 51427 |
1 | 731718 | rs142557973 | T | C | -0.0009811 | 0.0037140 | 0.7916496 | 0.7916495 | 0.1225210 | 0.1543530 | 51427 |
1 | 732032 | rs61770163 | A | C | 0.0022494 | 0.0039592 | 0.5699385 | 0.5699350 | 0.1216510 | 0.1555510 | 51427 |
1 | 734349 | rs141242758 | T | C | -0.0011319 | 0.0037160 | 0.7606712 | 0.7606700 | 0.1217650 | 0.1525560 | 51427 |
1 | 740284 | rs61770167 | C | T | -0.0012245 | 0.0162401 | 0.9398949 | 0.9398952 | 0.0062329 | 0.0023962 | 51427 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
23 | 154923311 | rs141127553 | C | T | -0.0014271 | 0.0043695 | 0.7439676 | 0.7439662 | 0.0542488 | 0.0309934 | 51427 |
23 | 154923374 | rs111332691 | T | A | -0.0083393 | 0.0047331 | 0.0780890 | 0.0780828 | 0.0445389 | 0.0116556 | 51427 |
23 | 154925045 | rs509981 | C | T | -0.0010473 | 0.0022754 | 0.6453094 | 0.6453078 | 0.2434190 | 0.3634440 | 51427 |
23 | 154925895 | rs538470 | C | T | -0.0001725 | 0.0023244 | 0.9408359 | 0.9408351 | 0.2401390 | 0.3634440 | 51427 |
23 | 154927581 | rs644138 | G | A | -0.0012626 | 0.0021403 | 0.5552518 | 0.5552499 | 0.2981050 | 0.4635760 | 51427 |
23 | 154929412 | rs557132 | C | T | -0.0010561 | 0.0022762 | 0.6426537 | 0.6426530 | 0.2432580 | 0.3568210 | 51427 |
23 | 154929637 | rs35185538 | CT | C | -0.0001425 | 0.0023717 | 0.9520990 | 0.9520992 | 0.2278210 | 0.3011920 | 51427 |
23 | 154929952 | rs4012982 | CAA | C | -0.0007116 | 0.0023949 | 0.7663762 | 0.7663764 | 0.2374290 | 0.3165560 | 51427 |
23 | 154930230 | rs781880 | A | G | -0.0007651 | 0.0022752 | 0.7366734 | 0.7366721 | 0.2438260 | 0.3618540 | 51427 |
23 | 154930487 | rs781879 | T | A | -0.0148076 | 0.0079113 | 0.0612534 | 0.0612488 | 0.0189843 | 0.1263580 | 51427 |
1 692794 rs530212009 CA C . PASS AF=0.1121 ES:SE:LP:AF:SS:ID 0.0018976:0.00411281:0.190762:0.1121:51427:1_692794_CA_C
1 693731 rs12238997 A G . PASS AF=0.116809 ES:SE:LP:AF:SS:ID -0.00111902:0.00390835:0.110901:0.116809:51427:rs12238997
1 707522 rs371890604 G C . PASS AF=0.098293 ES:SE:LP:AF:SS:ID 0.00525182:0.00438342:0.636616:0.098293:51427:rs371890604
1 717587 rs144155419 G A . PASS AF=0.0154808 ES:SE:LP:AF:SS:ID -0.0187795:0.0105968:1.11708:0.0154808:51427:rs144155419
1 723329 rs189787166 A T . PASS AF=0.00179726 ES:SE:LP:AF:SS:ID 0.0433932:0.0301179:0.824915:0.00179726:51427:rs189787166
1 730087 rs148120343 T C . PASS AF=0.0570822 ES:SE:LP:AF:SS:ID 0.00451709:0.00544274:0.390851:0.0570822:51427:rs148120343
1 731718 rs58276399 T C . PASS AF=0.122521 ES:SE:LP:AF:SS:ID -0.000981135:0.00371404:0.101467:0.122521:51427:rs58276399
1 732032 rs61770163 A C . PASS AF=0.121651 ES:SE:LP:AF:SS:ID 0.00224938:0.00395915:0.244172:0.121651:51427:rs61770163
1 734349 rs141242758 T C . PASS AF=0.121765 ES:SE:LP:AF:SS:ID -0.00113191:0.00371604:0.118803:0.121765:51427:rs141242758
1 740284 rs61770167 C T . PASS AF=0.0062329 ES:SE:LP:AF:SS:ID -0.00122453:0.0162401:0.0269207:0.0062329:51427:rs61770167
1 742813 rs112573343 C T . PASS AF=0.00176649 ES:SE:LP:AF:SS:ID 0.0154998:0.0337468:0.189752:0.00176649:51427:rs112573343
1 749963 rs529266287 T TAA . PASS AF=0.868613 ES:SE:LP:AF:SS:ID -0.000465645:0.00365812:0.0463799:0.868613:51427:rs529266287
1 750230 rs190826124 G C . PASS AF=0.00158492 ES:SE:LP:AF:SS:ID -0.0034392:0.0328233:0.0378434:0.00158492:51427:rs190826124
1 751343 rs28544273 T A . PASS AF=0.123957 ES:SE:LP:AF:SS:ID 0.000310572:0.00362388:0.030722:0.123957:51427:rs28544273
1 751488 rs200141114 G GA . PASS AF=0.143385 ES:SE:LP:AF:SS:ID 0.000172208:0.00359544:0.0169157:0.143385:51427:rs200141114
1 751756 rs28527770 T C . PASS AF=0.124126 ES:SE:LP:AF:SS:ID 0.000170135:0.00361786:0.0166029:0.124126:51427:rs28527770
1 753405 rs3115860 C A . PASS AF=0.869933 ES:SE:LP:AF:SS:ID 0.000885984:0.00352595:0.0960412:0.869933:51427:rs3115860
1 753425 rs3131970 T C . PASS AF=0.874426 ES:SE:LP:AF:SS:ID 0.00040188:0.003582:0.040639:0.874426:51427:rs3131970
1 753541 rs2073813 G A . PASS AF=0.129659 ES:SE:LP:AF:SS:ID -0.000858776:0.00353463:0.0925688:0.129659:51427:rs2073813
1 754105 rs12184325 C T . PASS AF=0.0369164 ES:SE:LP:AF:SS:ID 0.00211966:0.00636634:0.131253:0.0369164:51427:rs12184325
1 754182 rs3131969 A G . PASS AF=0.869554 ES:SE:LP:AF:SS:ID 0.00084741:0.00352265:0.0915702:0.869554:51427:rs3131969
1 754192 rs3131968 A G . PASS AF=0.869648 ES:SE:LP:AF:SS:ID 0.000955501:0.00352449:0.104405:0.869648:51427:rs3131968
1 754334 rs3131967 T C . PASS AF=0.86957 ES:SE:LP:AF:SS:ID 0.000834121:0.00352265:0.0900045:0.86957:51427:rs3131967
1 754433 rs150578204 G A . PASS AF=0.00531261 ES:SE:LP:AF:SS:ID -0.0160726:0.0176555:0.440517:0.00531261:51427:rs150578204
1 754458 rs142682604 G T . PASS AF=0.00527727 ES:SE:LP:AF:SS:ID -0.0161943:0.0177019:0.443356:0.00527727:51427:rs142682604
1 755435 rs184270342 T G . PASS AF=0.0057746 ES:SE:LP:AF:SS:ID 0.0449129:0.017264:2.0323:0.0057746:51427:rs184270342
1 755890 rs3115858 A T . PASS AF=0.869706 ES:SE:LP:AF:SS:ID 0.00103833:0.00351734:0.11473:0.869706:51427:rs3115858
1 756434 rs61768170 G C . PASS AF=0.12702 ES:SE:LP:AF:SS:ID -0.000702684:0.0035873:0.0732955:0.12702:51427:rs61768170
1 756604 rs3131962 A G . PASS AF=0.869213 ES:SE:LP:AF:SS:ID 0.000965334:0.00350809:0.106136:0.869213:51427:rs3131962
1 757640 rs3115853 G A . PASS AF=0.868449 ES:SE:LP:AF:SS:ID 0.00061735:0.00350469:0.0654122:0.868449:51427:rs3115853
1 757734 rs4951929 C T . PASS AF=0.869419 ES:SE:LP:AF:SS:ID 0.00100406:0.00351196:0.110722:0.869419:51427:rs4951929
1 757936 rs4951862 C A . PASS AF=0.869426 ES:SE:LP:AF:SS:ID 0.00100158:0.00351218:0.11041:0.869426:51427:rs4951862
1 758144 rs3131956 A G . PASS AF=0.869437 ES:SE:LP:AF:SS:ID 0.000991294:0.00351235:0.10915:0.869437:51427:rs3131956
1 758626 rs3131954 C T . PASS AF=0.869848 ES:SE:LP:AF:SS:ID 0.00114204:0.00352055:0.127469:0.869848:51427:rs3131954
1 759293 rs10157329 T A . PASS AF=0.0999077 ES:SE:LP:AF:SS:ID 0.0018371:0.00408263:0.185268:0.0999077:51427:rs10157329
1 759600 rs545998451 AGT A . PASS AF=0.00659027 ES:SE:LP:AF:SS:ID 0.0458123:0.0156803:2.45799:0.00659027:51427:1_759600_AGT_A
1 759837 rs3115851 T A . PASS AF=0.87358 ES:SE:LP:AF:SS:ID 0.000990253:0.00357141:0.107031:0.87358:51427:rs3115851
1 761732 rs2286139 C T . PASS AF=0.86295 ES:SE:LP:AF:SS:ID 0.000644219:0.00350374:0.0684816:0.86295:51427:rs2286139
1 761752 rs1057213 C T . PASS AF=0.868667 ES:SE:LP:AF:SS:ID 0.00108624:0.00353811:0.119852:0.868667:51427:rs1057213
1 762273 rs3115849 G A . PASS AF=0.8652 ES:SE:LP:AF:SS:ID 0.00164547:0.00353654:0.192644:0.8652:51427:rs3115849
1 762485 rs12095200 C A . PASS AF=0.0992889 ES:SE:LP:AF:SS:ID -0.000190929:0.00424445:0.0158685:0.0992889:51427:rs12095200
1 762589 rs3115848 G C . PASS AF=0.870459 ES:SE:LP:AF:SS:ID 0.00106657:0.00357629:0.116039:0.870459:51427:rs3115848
1 762592 rs3131950 C G . PASS AF=0.870459 ES:SE:LP:AF:SS:ID 0.00106591:0.00357629:0.11596:0.870459:51427:rs3131950
1 762601 rs3131949 T C . PASS AF=0.870456 ES:SE:LP:AF:SS:ID 0.00106497:0.00357631:0.115845:0.870456:51427:rs3131949
1 762632 rs3131948 T A . PASS AF=0.870829 ES:SE:LP:AF:SS:ID 0.00121219:0.00357835:0.133834:0.870829:51427:rs3131948
1 764191 rs7515915 T G . PASS AF=0.126636 ES:SE:LP:AF:SS:ID -0.00103236:0.00358234:0.111703:0.126636:51427:rs7515915
1 766007 rs61768174 A C . PASS AF=0.106247 ES:SE:LP:AF:SS:ID 0.00215027:0.00390122:0.23544:0.106247:51427:rs61768174
1 766105 rs2519015 T A . PASS AF=0.854084 ES:SE:LP:AF:SS:ID 0.000885357:0.00350338:0.0966446:0.854084:51427:rs2519015
1 767393 rs538667473 A C . PASS AF=0.00168817 ES:SE:LP:AF:SS:ID 0.0447916:0.0303835:0.852534:0.00168817:51427:rs538667473
1 768116 rs376645387 A AGTTTT . PASS AF=0.836377 ES:SE:LP:AF:SS:ID 0.00342217:0.00343096:0.496813:0.836377:51427:rs376645387