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"gwas_harmonisation_command": "--json /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-6072_6/ukb-d-6072_6_data.json --ref /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/QC/genomes/b37/human_g1k_v37.fasta; 1.1.1",
"file_date": "2019-11-25T15:34:57.770165",
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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-6072_6/ukb-d-6072_6.vcf.gz -O z /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-6072_6/ukb-d-6072_6_data.vcf.gz; Date=Mon Nov 25 16:22:46 2019",
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"bcftools_viewCommand": "view -h /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukb-d-6072_6/ukb-d-6072_6.vcf.gz; Date=Sun May 10 11:36:43 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-6072_6/ukb-d-6072_6.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-6072_6/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 16:57:30 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-6072_6/ukb-d-6072_6.vcf.gz ...
Read summary statistics for 12225670 SNPs.
Dropped 10776 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, 1283157 SNPs remain.
After merging with regression SNP LD, 1283157 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: -0.002 (0.0082)
Lambda GC: 1.0065
Mean Chi^2: 1.0094
Intercept: 1.0116 (0.0059)
Ratio: 1.2272 (0.623)
Analysis finished at Mon Nov 25 16:59:32 2019
Total time elapsed: 2.0m:1.78s
{
"af_correlation": 0.9496,
"inflation_factor": 1.0099,
"mean_EFFECT": -0,
"n": 54601,
"n_snps": 12225670,
"n_clumped_hits": 1,
"n_p_sig": 4,
"n_mono": 0,
"n_ns": 1194520,
"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": 308413,
"n_est": 54807.6407,
"ratio_se_n": 1.0019,
"mean_diff": -0,
"ratio_diff": 8.9604,
"sd_y_est1": 0.3026,
"sd_y_est2": 0.3032,
"r2_sum1": 0.0001,
"r2_sum2": 0.0006,
"r2_sum3": 0.0006,
"r2_sum4": 0.0006,
"ldsc_nsnp_merge_refpanel_ld": 1283157,
"ldsc_nsnp_merge_regression_ld": 1283157,
"ldsc_observed_scale_h2_beta": "NA",
"ldsc_observed_scale_h2_se": "NA",
"ldsc_intercept_beta": 1.0116,
"ldsc_intercept_se": 0.0059,
"ldsc_lambda_gc": 1.0065,
"ldsc_mean_chisq": 1.0094,
"ldsc_ratio": 1.234
}
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 | 1.0000000 | 3 | 94 | 0 | 12215521 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | REF | 0 | 1.0000000 | 1 | 100 | 0 | 53927 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | ALT | 0 | 1.0000000 | 1 | 342 | 0 | 32323 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
numeric | CHROM | 0 | 1.0000000 | NA | NA | NA | NA | NA | 9.066324e+00 | 6.184832e+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 | 7.891835e+07 | 5.597234e+07 | 3.02000e+02 | 3.273523e+07 | 6.994927e+07 | 1.147861e+08 | 2.492309e+08 | ▇▆▅▂▁ |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | -1.080000e-05 | 7.639400e-03 | -8.29147e-02 | -2.526400e-03 | -2.130000e-05 | 2.448900e-03 | 1.010750e-01 | ▁▁▇▁▁ |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | 5.796000e-03 | 4.914400e-03 | 1.50300e-03 | 2.117200e-03 | 3.427000e-03 | 8.049700e-03 | 2.884790e-02 | ▇▂▁▁▁ |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.985950e-01 | 2.889519e-01 | 0.00000e+00 | 2.478318e-01 | 4.978930e-01 | 7.491400e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.985921e-01 | 2.889536e-01 | 0.00000e+00 | 2.478269e-01 | 4.978899e-01 | 7.491393e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | 2.109185e-01 | 2.587255e-01 | 2.25630e-03 | 1.386020e-02 | 8.708330e-02 | 3.343510e-01 | 9.977440e-01 | ▇▂▁▁▁ |
numeric | AF_reference | 308413 | 0.9747733 | NA | NA | NA | NA | NA | 2.127051e-01 | 2.503346e-01 | 0.00000e+00 | 1.058310e-02 | 1.072280e-01 | 3.376600e-01 | 1.000000e+00 | ▇▂▁▁▁ |
numeric | N | 0 | 1.0000000 | NA | NA | NA | NA | NA | 5.460100e+04 | 0.000000e+00 | 5.46010e+04 | 5.460100e+04 | 5.460100e+04 | 5.460100e+04 | 5.460100e+04 | ▁▁▇▁▁ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 692794 | rs530212009 | CA | C | 0.0005017 | 0.0031895 | 0.8750130 | 0.8750119 | 0.1121670 | 0.1894970 | 54601 |
1 | 693731 | rs12238997 | A | G | 0.0004996 | 0.0030218 | 0.8686830 | 0.8686828 | 0.1172240 | 0.1417730 | 54601 |
1 | 707522 | rs371890604 | G | C | 0.0026966 | 0.0033903 | 0.4263861 | 0.4263813 | 0.0985402 | 0.1293930 | 54601 |
1 | 717587 | rs144155419 | G | A | 0.0029352 | 0.0082309 | 0.7213815 | 0.7213811 | 0.0154660 | 0.0045926 | 54601 |
1 | 730087 | rs148120343 | T | C | -0.0024657 | 0.0042095 | 0.5580576 | 0.5580541 | 0.0572311 | 0.0127796 | 54601 |
1 | 731718 | rs142557973 | T | C | 0.0013495 | 0.0028681 | 0.6379873 | 0.6379846 | 0.1230760 | 0.1543530 | 54601 |
1 | 732032 | rs61770163 | A | C | 0.0017636 | 0.0030523 | 0.5633989 | 0.5633973 | 0.1228430 | 0.1555510 | 54601 |
1 | 734349 | rs141242758 | T | C | 0.0012316 | 0.0028706 | 0.6678916 | 0.6678900 | 0.1222480 | 0.1525560 | 54601 |
1 | 740284 | rs61770167 | C | T | -0.0055979 | 0.0123136 | 0.6493906 | 0.6493873 | 0.0065623 | 0.0023962 | 54601 |
1 | 749963 | rs529266287 | T | TAA | -0.0013688 | 0.0028280 | 0.6283607 | 0.6283602 | 0.8682710 | 0.7641770 | 54601 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
23 | 154923311 | rs141127553 | C | T | -0.0008857 | 0.0033707 | 0.7927441 | 0.7927428 | 0.0542740 | 0.0309934 | 54601 |
23 | 154923374 | rs111332691 | T | A | 0.0049251 | 0.0036639 | 0.1788780 | 0.1788723 | 0.0443124 | 0.0116556 | 54601 |
23 | 154925045 | rs509981 | C | T | -0.0000507 | 0.0017603 | 0.9770370 | 0.9770373 | 0.2427170 | 0.3634440 | 54601 |
23 | 154925895 | rs538470 | C | T | -0.0002593 | 0.0017999 | 0.8854540 | 0.8854536 | 0.2391000 | 0.3634440 | 54601 |
23 | 154927581 | rs644138 | G | A | -0.0003234 | 0.0016558 | 0.8451481 | 0.8451471 | 0.2974210 | 0.4635760 | 54601 |
23 | 154929412 | rs557132 | C | T | -0.0000561 | 0.0017610 | 0.9745780 | 0.9745775 | 0.2425560 | 0.3568210 | 54601 |
23 | 154929637 | rs35185538 | CT | C | 0.0000829 | 0.0018386 | 0.9640561 | 0.9640557 | 0.2268210 | 0.3011920 | 54601 |
23 | 154929952 | rs4012982 | CAA | C | -0.0002426 | 0.0018503 | 0.8956920 | 0.8956912 | 0.2368600 | 0.3165560 | 54601 |
23 | 154930230 | rs781880 | A | G | 0.0001082 | 0.0017606 | 0.9509809 | 0.9509808 | 0.2429450 | 0.3618540 | 54601 |
23 | 154930487 | rs781879 | T | A | -0.0048380 | 0.0061660 | 0.4326762 | 0.4326724 | 0.0186678 | 0.1263580 | 54601 |
1 692794 rs530212009 CA C . PASS AF=0.112167 ES:SE:LP:AF:SS:ID 0.000501699:0.00318953:0.0579855:0.112167:54601:1_692794_CA_C
1 693731 rs12238997 A G . PASS AF=0.117224 ES:SE:LP:AF:SS:ID 0.000499603:0.00302182:0.0611387:0.117224:54601:rs12238997
1 707522 rs371890604 G C . PASS AF=0.0985402 ES:SE:LP:AF:SS:ID 0.00269661:0.00339026:0.370197:0.0985402:54601:rs371890604
1 717587 rs144155419 G A . PASS AF=0.015466 ES:SE:LP:AF:SS:ID 0.00293524:0.00823087:0.141835:0.015466:54601:rs144155419
1 730087 rs148120343 T C . PASS AF=0.0572311 ES:SE:LP:AF:SS:ID -0.00246566:0.00420952:0.253321:0.0572311:54601:rs148120343
1 731718 rs58276399 T C . PASS AF=0.123076 ES:SE:LP:AF:SS:ID 0.00134948:0.00286807:0.195188:0.123076:54601:rs58276399
1 732032 rs61770163 A C . PASS AF=0.122843 ES:SE:LP:AF:SS:ID 0.00176361:0.00305227:0.249184:0.122843:54601:rs61770163
1 734349 rs141242758 T C . PASS AF=0.122248 ES:SE:LP:AF:SS:ID 0.00123161:0.00287058:0.175294:0.122248:54601:rs141242758
1 740284 rs61770167 C T . PASS AF=0.00656229 ES:SE:LP:AF:SS:ID -0.00559793:0.0123136:0.187494:0.00656229:54601:rs61770167
1 749963 rs529266287 T TAA . PASS AF=0.868271 ES:SE:LP:AF:SS:ID -0.00136883:0.00282795:0.201791:0.868271:54601:rs529266287
1 751343 rs28544273 T A . PASS AF=0.124309 ES:SE:LP:AF:SS:ID 0.00220233:0.00280154:0.364712:0.124309:54601:rs28544273
1 751488 rs200141114 G GA . PASS AF=0.143544 ES:SE:LP:AF:SS:ID 0.00115652:0.00278034:0.169129:0.143544:54601:rs200141114
1 751756 rs28527770 T C . PASS AF=0.12444 ES:SE:LP:AF:SS:ID 0.00215709:0.00279703:0.355967:0.12444:54601:rs28527770
1 753405 rs3115860 C A . PASS AF=0.869364 ES:SE:LP:AF:SS:ID -0.000490266:0.0027247:0.0669153:0.869364:54601:rs3115860
1 753425 rs3131970 T C . PASS AF=0.874135 ES:SE:LP:AF:SS:ID -0.0019704:0.00276995:0.321598:0.874135:54601:rs3131970
1 753541 rs2073813 G A . PASS AF=0.130177 ES:SE:LP:AF:SS:ID 0.000752605:0.00273101:0.106309:0.130177:54601:rs2073813
1 754105 rs12184325 C T . PASS AF=0.0366477 ES:SE:LP:AF:SS:ID -0.00446964:0.00495428:0.435373:0.0366477:54601:rs12184325
1 754182 rs3131969 A G . PASS AF=0.868994 ES:SE:LP:AF:SS:ID -0.000305698:0.00272241:0.0406752:0.868994:54601:rs3131969
1 754192 rs3131968 A G . PASS AF=0.869113 ES:SE:LP:AF:SS:ID -0.000401543:0.0027241:0.0541308:0.869113:54601:rs3131968
1 754334 rs3131967 T C . PASS AF=0.869005 ES:SE:LP:AF:SS:ID -0.000313965:0.00272231:0.0418262:0.869005:54601:rs3131967
1 754433 rs150578204 G A . PASS AF=0.00525718 ES:SE:LP:AF:SS:ID -0.00900769:0.0137564:0.290221:0.00525718:54601:rs150578204
1 754458 rs142682604 G T . PASS AF=0.00522769 ES:SE:LP:AF:SS:ID -0.00905283:0.0137923:0.291079:0.00522769:54601:rs142682604
1 755435 rs184270342 T G . PASS AF=0.00558307 ES:SE:LP:AF:SS:ID 0.00788157:0.0135982:0.250122:0.00558307:54601:rs184270342
1 755890 rs3115858 A T . PASS AF=0.869113 ES:SE:LP:AF:SS:ID -0.000495611:0.00271794:0.0678765:0.869113:54601:rs3115858
1 756434 rs61768170 G C . PASS AF=0.127452 ES:SE:LP:AF:SS:ID 0.00127566:0.00277266:0.190133:0.127452:54601:rs61768170
1 756604 rs3131962 A G . PASS AF=0.868711 ES:SE:LP:AF:SS:ID -0.000603739:0.00271183:0.0841661:0.868711:54601:rs3131962
1 757640 rs3115853 G A . PASS AF=0.867803 ES:SE:LP:AF:SS:ID -0.000357288:0.00270759:0.0481682:0.867803:54601:rs3115853
1 757734 rs4951929 C T . PASS AF=0.868861 ES:SE:LP:AF:SS:ID -0.000442448:0.00271391:0.0602332:0.868861:54601:rs4951929
1 757936 rs4951862 C A . PASS AF=0.868867 ES:SE:LP:AF:SS:ID -0.000440092:0.00271409:0.0598886:0.868867:54601:rs4951862
1 758144 rs3131956 A G . PASS AF=0.868877 ES:SE:LP:AF:SS:ID -0.000445693:0.00271419:0.0606964:0.868877:54601:rs3131956
1 758626 rs3131954 C T . PASS AF=0.869274 ES:SE:LP:AF:SS:ID -0.000490877:0.00272089:0.0671048:0.869274:54601:rs3131954
1 759293 rs10157329 T A . PASS AF=0.100036 ES:SE:LP:AF:SS:ID 0.00200913:0.00315996:0.27992:0.100036:54601:rs10157329
1 759600 rs545998451 AGT A . PASS AF=0.0063348 ES:SE:LP:AF:SS:ID 0.0113962:0.0123742:0.447245:0.0063348:54601:1_759600_AGT_A
1 759837 rs3115851 T A . PASS AF=0.873359 ES:SE:LP:AF:SS:ID -0.00176043:0.00276227:0.280732:0.873359:54601:rs3115851
1 761732 rs2286139 C T . PASS AF=0.862434 ES:SE:LP:AF:SS:ID -0.00023448:0.00270782:0.0310527:0.862434:54601:rs2286139
1 761752 rs1057213 C T . PASS AF=0.868143 ES:SE:LP:AF:SS:ID -0.00083878:0.00273671:0.119626:0.868143:54601:rs1057213
1 762273 rs3115849 G A . PASS AF=0.86478 ES:SE:LP:AF:SS:ID -0.000545477:0.00273411:0.074757:0.86478:54601:rs3115849
1 762485 rs12095200 C A . PASS AF=0.099864 ES:SE:LP:AF:SS:ID 0.00171827:0.00327341:0.222107:0.099864:54601:rs12095200
1 762589 rs3115848 G C . PASS AF=0.870135 ES:SE:LP:AF:SS:ID -0.00176301:0.00276558:0.280823:0.870135:54601:rs3115848
1 762592 rs3131950 C G . PASS AF=0.870135 ES:SE:LP:AF:SS:ID -0.00176356:0.00276558:0.280932:0.870135:54601:rs3131950
1 762601 rs3131949 T C . PASS AF=0.870132 ES:SE:LP:AF:SS:ID -0.00176311:0.00276559:0.280841:0.870132:54601:rs3131949
1 762632 rs3131948 T A . PASS AF=0.870557 ES:SE:LP:AF:SS:ID -0.00177355:0.00276752:0.282641:0.870557:54601:rs3131948
1 764191 rs7515915 T G . PASS AF=0.12686 ES:SE:LP:AF:SS:ID 0.00155774:0.00276999:0.241186:0.12686:54601:rs7515915
1 766007 rs61768174 A C . PASS AF=0.106633 ES:SE:LP:AF:SS:ID 0.0006564:0.00301494:0.0821528:0.106633:54601:rs61768174
1 766105 rs2519015 T A . PASS AF=0.853891 ES:SE:LP:AF:SS:ID -0.000825365:0.00271046:0.118764:0.853891:54601:rs2519015
1 768116 rs376645387 A AGTTTT . PASS AF=0.8364 ES:SE:LP:AF:SS:ID -0.00243722:0.00266009:0.444233:0.8364:54601:rs376645387
1 768253 rs2977608 A C . PASS AF=0.760503 ES:SE:LP:AF:SS:ID -0.00219763:0.00214112:0.516112:0.760503:54601:rs2977608
1 768448 rs12562034 G A . PASS AF=0.107232 ES:SE:LP:AF:SS:ID 0.00355328:0.00294043:0.644185:0.107232:54601:rs12562034
1 768819 rs12562811 C T . PASS AF=0.00754421 ES:SE:LP:AF:SS:ID 0.00526628:0.0112023:0.194989:0.00754421:54601:rs12562811
1 769138 rs59306077 CAT C . PASS AF=0.130245 ES:SE:LP:AF:SS:ID 0.000622402:0.00273134:0.0863212:0.130245:54601:rs762168062