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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-30040_irnt/ukb-d-30040_irnt.vcf.gz -O z /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-30040_irnt/ukb-d-30040_irnt_data.vcf.gz; Date=Mon Nov 25 14:33:29 2019",
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"bcftools_viewCommand": "view -h /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukb-d-30040_irnt/ukb-d-30040_irnt.vcf.gz; Date=Sun May 10 23:21:59 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-30040_irnt/ukb-d-30040_irnt.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-30040_irnt/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 14:59:25 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-30040_irnt/ukb-d-30040_irnt.vcf.gz ...
Read summary statistics for 13586287 SNPs.
Dropped 12710 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, 1283504 SNPs remain.
After merging with regression SNP LD, 1283504 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.2336 (0.0264)
Lambda GC: 1.5485
Mean Chi^2: 2.767
Intercept: 1.1676 (0.021)
Ratio: 0.0949 (0.0119)
Analysis finished at Mon Nov 25 15:02:13 2019
Total time elapsed: 2.0m:48.46s
{
"af_correlation": 0.9521,
"inflation_factor": 1.3595,
"mean_EFFECT": -0,
"n": 350473,
"n_snps": 13586287,
"n_clumped_hits": 375,
"n_p_sig": 100558,
"n_mono": 0,
"n_ns": 1251793,
"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": 569192,
"n_est": 351809.1369,
"ratio_se_n": 1.0019,
"mean_diff": -1.9746e-06,
"ratio_diff": 1.0922,
"sd_y_est1": 0.9948,
"sd_y_est2": 0.9967,
"r2_sum1": 0.1542,
"r2_sum2": 0.1558,
"r2_sum3": 0.1552,
"r2_sum4": 0.1549,
"ldsc_nsnp_merge_refpanel_ld": 1283504,
"ldsc_nsnp_merge_regression_ld": 1283504,
"ldsc_observed_scale_h2_beta": 0.2336,
"ldsc_observed_scale_h2_se": 0.0264,
"ldsc_intercept_beta": 1.1676,
"ldsc_intercept_se": 0.021,
"ldsc_lambda_gc": 1.5485,
"ldsc_mean_chisq": 2.767,
"ldsc_ratio": 0.0949
}
name | value |
---|---|
af_correlation | FALSE |
inflation_factor | TRUE |
n | FALSE |
is_snpid_non_unique | TRUE |
mean_EFFECT_nonfinite | FALSE |
mean_EFFECT_05 | FALSE |
mean_EFFECT_01 | FALSE |
mean_chisq | TRUE |
n_p_sig | TRUE |
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 | 13574241 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | REF | 0 | 1.0000000 | 1 | 100 | 0 | 57080 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | ALT | 0 | 1.0000000 | 1 | 342 | 0 | 33337 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
numeric | CHROM | 0 | 1.0000000 | NA | NA | NA | NA | NA | 9.051336e+00 | 6.184983e+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 | 7.902521e+07 | 5.591482e+07 | 3.02000e+02 | 3.293109e+07 | 7.013885e+07 | 1.148590e+08 | 2.492309e+08 | ▇▆▅▂▁ |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | -4.990000e-05 | 1.512290e-02 | -6.94979e-01 | -4.524800e-03 | 1.020000e-05 | 4.494200e-03 | 4.761230e-01 | ▁▁▇▂▁ |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | 9.984800e-03 | 9.631600e-03 | 1.95290e-03 | 2.842700e-03 | 5.238400e-03 | 1.434920e-02 | 4.882980e-02 | ▇▂▁▁▁ |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.483698e-01 | 3.046461e-01 | 0.00000e+00 | 1.711682e-01 | 4.316125e-01 | 7.127414e-01 | 1.000000e+00 | ▇▆▅▅▅ |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.483694e-01 | 3.046464e-01 | 0.00000e+00 | 1.711677e-01 | 4.316116e-01 | 7.127404e-01 | 1.000000e+00 | ▇▆▅▅▅ |
numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | 1.908060e-01 | 2.544034e-01 | 1.00000e-03 | 7.430500e-03 | 6.003390e-02 | 2.953170e-01 | 9.990000e-01 | ▇▂▁▁▁ |
numeric | AF_reference | 569192 | 0.9581054 | NA | NA | NA | NA | NA | 1.963356e-01 | 2.471015e-01 | 0.00000e+00 | 5.591000e-03 | 8.426520e-02 | 3.081070e-01 | 1.000000e+00 | ▇▂▁▁▁ |
numeric | N | 0 | 1.0000000 | NA | NA | NA | NA | NA | 3.504730e+05 | 0.000000e+00 | 3.50473e+05 | 3.504730e+05 | 3.504730e+05 | 3.504730e+05 | 3.504730e+05 | ▁▁▇▁▁ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 692794 | rs530212009 | CA | C | -0.0040661 | 0.0041597 | 0.3283190 | 0.3283178 | 0.1106770 | 0.1894970 | 350473 |
1 | 693731 | rs12238997 | A | G | -0.0066238 | 0.0039304 | 0.0919327 | 0.0919321 | 0.1158570 | 0.1417730 | 350473 |
1 | 707522 | rs371890604 | G | C | -0.0027299 | 0.0044200 | 0.5368204 | 0.5368214 | 0.0972842 | 0.1293930 | 350473 |
1 | 717587 | rs144155419 | G | A | -0.0229488 | 0.0105348 | 0.0293785 | 0.0293777 | 0.0157161 | 0.0045926 | 350473 |
1 | 723329 | rs189787166 | A | T | -0.0067088 | 0.0312195 | 0.8298510 | 0.8298510 | 0.0017252 | 0.0003994 | 350473 |
1 | 730087 | rs148120343 | T | C | -0.0043827 | 0.0054739 | 0.4233329 | 0.4233322 | 0.0564940 | 0.0127796 | 350473 |
1 | 731718 | rs142557973 | T | C | -0.0045880 | 0.0037275 | 0.2183720 | 0.2183714 | 0.1217800 | 0.1543530 | 350473 |
1 | 732032 | rs61770163 | A | C | -0.0042211 | 0.0039766 | 0.2884782 | 0.2884769 | 0.1211760 | 0.1555510 | 350473 |
1 | 734349 | rs141242758 | T | C | -0.0047291 | 0.0037294 | 0.2047812 | 0.2047800 | 0.1210090 | 0.1525560 | 350473 |
1 | 740284 | rs61770167 | C | T | -0.0138099 | 0.0170627 | 0.4183078 | 0.4183070 | 0.0057871 | 0.0023962 | 350473 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
23 | 154923311 | rs141127553 | C | T | -0.0039919 | 0.0043055 | 0.3538376 | 0.3538385 | 0.0561534 | 0.0309934 | 350473 |
23 | 154923374 | rs111332691 | T | A | 0.0108760 | 0.0047329 | 0.0215655 | 0.0215645 | 0.0447909 | 0.0116556 | 350473 |
23 | 154925045 | rs509981 | C | T | 0.0002021 | 0.0022776 | 0.9292961 | 0.9292955 | 0.2454630 | 0.3634440 | 350473 |
23 | 154925895 | rs538470 | C | T | -0.0001923 | 0.0023297 | 0.9342020 | 0.9342021 | 0.2418100 | 0.3634440 | 350473 |
23 | 154927581 | rs644138 | G | A | -0.0009406 | 0.0021417 | 0.6605398 | 0.6605398 | 0.3020120 | 0.4635760 | 350473 |
23 | 154929412 | rs557132 | C | T | 0.0002654 | 0.0022783 | 0.9072540 | 0.9072541 | 0.2453180 | 0.3568210 | 350473 |
23 | 154929637 | rs35185538 | CT | C | 0.0016150 | 0.0023780 | 0.4970579 | 0.4970577 | 0.2295400 | 0.3011920 | 350473 |
23 | 154929952 | rs4012982 | CAA | C | 0.0001667 | 0.0023963 | 0.9445329 | 0.9445329 | 0.2392730 | 0.3165560 | 350473 |
23 | 154930230 | rs781880 | A | G | 0.0000741 | 0.0022779 | 0.9740409 | 0.9740408 | 0.2457280 | 0.3618540 | 350473 |
23 | 154930487 | rs781879 | T | A | 0.0059219 | 0.0078171 | 0.4487144 | 0.4487136 | 0.0195299 | 0.1263580 | 350473 |
1 692794 rs530212009 CA C . PASS AF=0.110677 ES:SE:LP:AF:SS:ID -0.0040661:0.00415966:0.483704:0.110677:350473:1_692794_CA_C
1 693731 rs12238997 A G . PASS AF=0.115857 ES:SE:LP:AF:SS:ID -0.00662384:0.00393038:1.03653:0.115857:350473:rs12238997
1 707522 rs371890604 G C . PASS AF=0.0972842 ES:SE:LP:AF:SS:ID -0.00272991:0.00442:0.270171:0.0972842:350473:rs371890604
1 717587 rs144155419 G A . PASS AF=0.0157161 ES:SE:LP:AF:SS:ID -0.0229488:0.0105348:1.53197:0.0157161:350473:rs144155419
1 723329 rs189787166 A T . PASS AF=0.00172519 ES:SE:LP:AF:SS:ID -0.00670884:0.0312195:0.0809999:0.00172519:350473:rs189787166
1 730087 rs148120343 T C . PASS AF=0.056494 ES:SE:LP:AF:SS:ID -0.00438269:0.00547389:0.373318:0.056494:350473:rs148120343
1 731718 rs58276399 T C . PASS AF=0.12178 ES:SE:LP:AF:SS:ID -0.00458802:0.00372746:0.660803:0.12178:350473:rs58276399
1 732032 rs61770163 A C . PASS AF=0.121176 ES:SE:LP:AF:SS:ID -0.00422109:0.00397665:0.539887:0.121176:350473:rs61770163
1 734349 rs141242758 T C . PASS AF=0.121009 ES:SE:LP:AF:SS:ID -0.00472913:0.00372945:0.68871:0.121009:350473:rs141242758
1 740284 rs61770167 C T . PASS AF=0.00578713 ES:SE:LP:AF:SS:ID -0.0138099:0.0170627:0.378504:0.00578713:350473:rs61770167
1 742813 rs112573343 C T . PASS AF=0.00188409 ES:SE:LP:AF:SS:ID -0.0273975:0.0322035:0.403511:0.00188409:350473:rs112573343
1 749963 rs529266287 T TAA . PASS AF=0.869714 ES:SE:LP:AF:SS:ID 0.00527795:0.00367698:0.820526:0.869714:350473:rs529266287
1 750230 rs190826124 G C . PASS AF=0.00153228 ES:SE:LP:AF:SS:ID 0.0124258:0.0332637:0.149516:0.00153228:350473:rs190826124
1 751343 rs28544273 T A . PASS AF=0.122937 ES:SE:LP:AF:SS:ID -0.00425283:0.00364136:0.614683:0.122937:350473:rs28544273
1 751488 rs200141114 G GA . PASS AF=0.142739 ES:SE:LP:AF:SS:ID -0.00314389:0.00359952:0.417442:0.142739:350473:rs200141114
1 751756 rs28527770 T C . PASS AF=0.123054 ES:SE:LP:AF:SS:ID -0.00427204:0.00363626:0.619684:0.123054:350473:rs28527770
1 753405 rs3115860 C A . PASS AF=0.87085 ES:SE:LP:AF:SS:ID 0.00509909:0.0035434:0.823504:0.87085:350473:rs3115860
1 753425 rs3131970 T C . PASS AF=0.875449 ES:SE:LP:AF:SS:ID 0.00496346:0.00360216:0.774094:0.875449:350473:rs3131970
1 753541 rs2073813 G A . PASS AF=0.128671 ES:SE:LP:AF:SS:ID -0.00460927:0.00355228:0.71121:0.128671:350473:rs2073813
1 754105 rs12184325 C T . PASS AF=0.0363366 ES:SE:LP:AF:SS:ID 0.00660888:0.00644955:0.514983:0.0363366:350473:rs12184325
1 754182 rs3131969 A G . PASS AF=0.870443 ES:SE:LP:AF:SS:ID 0.00521453:0.00353967:0.851684:0.870443:350473:rs3131969
1 754192 rs3131968 A G . PASS AF=0.870545 ES:SE:LP:AF:SS:ID 0.00500919:0.00354123:0.803531:0.870545:350473:rs3131968
1 754334 rs3131967 T C . PASS AF=0.870438 ES:SE:LP:AF:SS:ID 0.00524209:0.00353953:0.858224:0.870438:350473:rs3131967
1 754433 rs150578204 G A . PASS AF=0.00504296 ES:SE:LP:AF:SS:ID -0.0100809:0.0181832:0.237096:0.00504296:350473:rs150578204
1 754458 rs142682604 G T . PASS AF=0.00500985 ES:SE:LP:AF:SS:ID -0.0105601:0.0182317:0.24992:0.00500985:350473:rs142682604
1 755435 rs184270342 T G . PASS AF=0.00558058 ES:SE:LP:AF:SS:ID 0.00825491:0.0176116:0.194315:0.00558058:350473:rs184270342
1 755890 rs3115858 A T . PASS AF=0.870523 ES:SE:LP:AF:SS:ID 0.00509806:0.00353333:0.826627:0.870523:350473:rs3115858
1 756434 rs61768170 G C . PASS AF=0.126015 ES:SE:LP:AF:SS:ID -0.00445665:0.00360558:0.664654:0.126015:350473:rs61768170
1 756604 rs3131962 A G . PASS AF=0.870086 ES:SE:LP:AF:SS:ID 0.00507422:0.00352481:0.823938:0.870086:350473:rs3131962
1 757640 rs3115853 G A . PASS AF=0.869364 ES:SE:LP:AF:SS:ID 0.00484725:0.00352147:0.772957:0.869364:350473:rs3115853
1 757734 rs4951929 C T . PASS AF=0.87024 ES:SE:LP:AF:SS:ID 0.0050802:0.00352786:0.824308:0.87024:350473:rs4951929
1 757936 rs4951862 C A . PASS AF=0.870246 ES:SE:LP:AF:SS:ID 0.00507851:0.00352811:0.823833:0.870246:350473:rs4951862
1 758144 rs3131956 A G . PASS AF=0.870254 ES:SE:LP:AF:SS:ID 0.00508591:0.00352822:0.825516:0.870254:350473:rs3131956
1 758626 rs3131954 C T . PASS AF=0.870697 ES:SE:LP:AF:SS:ID 0.00508104:0.0035372:0.821388:0.870697:350473:rs3131954
1 759293 rs10157329 T A . PASS AF=0.0988385 ES:SE:LP:AF:SS:ID -0.00103626:0.00411147:0.0963626:0.0988385:350473:rs10157329
1 759600 rs545998451 AGT A . PASS AF=0.00647157 ES:SE:LP:AF:SS:ID 0.000279393:0.0159111:0.00612749:0.00647157:350473:1_759600_AGT_A
1 759837 rs3115851 T A . PASS AF=0.874605 ES:SE:LP:AF:SS:ID 0.00472907:0.00359001:0.726436:0.874605:350473:rs3115851
1 761732 rs2286139 C T . PASS AF=0.863994 ES:SE:LP:AF:SS:ID 0.00513474:0.00352051:0.839538:0.863994:350473:rs2286139
1 761752 rs1057213 C T . PASS AF=0.869377 ES:SE:LP:AF:SS:ID 0.00546006:0.00355467:0.904716:0.869377:350473:rs1057213
1 762273 rs3115849 G A . PASS AF=0.866336 ES:SE:LP:AF:SS:ID 0.00436962:0.0035555:0.659393:0.866336:350473:rs3115849
1 762485 rs12095200 C A . PASS AF=0.0987495 ES:SE:LP:AF:SS:ID -0.00540812:0.00425785:0.690304:0.0987495:350473:rs12095200
1 762589 rs3115848 G C . PASS AF=0.871519 ES:SE:LP:AF:SS:ID 0.00500637:0.00359594:0.785543:0.871519:350473:rs3115848
1 762592 rs3131950 C G . PASS AF=0.871519 ES:SE:LP:AF:SS:ID 0.00500629:0.00359594:0.785524:0.871519:350473:rs3131950
1 762601 rs3131949 T C . PASS AF=0.871519 ES:SE:LP:AF:SS:ID 0.00498186:0.00359601:0.780059:0.871519:350473:rs3131949
1 762632 rs3131948 T A . PASS AF=0.87189 ES:SE:LP:AF:SS:ID 0.0049699:0.00359805:0.776777:0.87189:350473:rs3131948
1 764191 rs7515915 T G . PASS AF=0.125596 ES:SE:LP:AF:SS:ID -0.00411914:0.00360091:0.597467:0.125596:350473:rs7515915
1 766007 rs61768174 A C . PASS AF=0.105424 ES:SE:LP:AF:SS:ID -0.000774502:0.00392073:0.0739638:0.105424:350473:rs61768174
1 766105 rs2519015 T A . PASS AF=0.855335 ES:SE:LP:AF:SS:ID 0.00420379:0.0035196:0.633906:0.855335:350473:rs2519015
1 767393 rs538667473 A C . PASS AF=0.00164752 ES:SE:LP:AF:SS:ID 0.00121339:0.0312736:0.0136534:0.00164752:350473:rs538667473
1 768116 rs376645387 A AGTTTT . PASS AF=0.838287 ES:SE:LP:AF:SS:ID -0.00101246:0.00346689:0.113364:0.838287:350473:rs376645387