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"Gwas2VCF_command": "--data /data/cromwell-executions/qc/60848843-4f44-4195-bfbd-a62de3d56877/call-vcf/inputs/562856379/upload.txt.gz --id ieu-b-96 --json /data/cromwell-executions/qc/60848843-4f44-4195-bfbd-a62de3d56877/call-vcf/inputs/562856379/ieu-b-96_data.json --ref /data/cromwell-executions/qc/60848843-4f44-4195-bfbd-a62de3d56877/call-vcf/inputs/1899004205/human_g1k_v37.fasta --dbsnp /data/cromwell-executions/qc/60848843-4f44-4195-bfbd-a62de3d56877/call-vcf/inputs/-307190728/dbsnp.v153.b37.vcf.gz --out /data/igd/ieu-b-96/ieu-b-96.vcf.gz --alias alias.txt --cohort_cases 1090 --cohort_controls 2928; 1.3.0",
"file_date": "2020-12-18T00:48:14.927536",
"bcftools_viewVersion": "1.9+htslib-1.9",
"bcftools_viewCommand": "view -h /data/cromwell-executions/qc/60848843-4f44-4195-bfbd-a62de3d56877/call-report/inputs/562856379/ieu-b-96.vcf.gz; Date=Fri Dec 18 01:08:06 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 /data/cromwell-executions/qc/60848843-4f44-4195-bfbd-a62de3d56877/call-ldsc/inputs/562856379/ieu-b-96.vcf.gz \
--ref-ld-chr /data/ref/eur_w_ld_chr/ \
--out /data/igd/ieu-b-96/ldsc.txt \
--w-ld-chr /data/ref/eur_w_ld_chr/
Beginning analysis at Fri Dec 18 01:00:10 2020
Reading summary statistics from /data/cromwell-executions/qc/60848843-4f44-4195-bfbd-a62de3d56877/call-ldsc/inputs/562856379/ieu-b-96.vcf.gz ...
Read summary statistics for 7292591 SNPs.
Dropped 20616 SNPs with duplicated rs numbers.
Reading reference panel LD Score from /data/ref/eur_w_ld_chr/[1-22] ... (ldscore_fromlist)
Read reference panel LD Scores for 1290028 SNPs.
Removing partitioned LD Scores with zero variance.
Reading regression weight LD Score from /data/ref/eur_w_ld_chr/[1-22] ... (ldscore_fromlist)
Read regression weight LD Scores for 1290028 SNPs.
After merging with reference panel LD, 1100532 SNPs remain.
After merging with regression SNP LD, 1100532 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.2834 (0.1185)
Lambda GC: 1.0466
Mean Chi^2: 1.0406
Intercept: 1.018 (0.0066)
Ratio: 0.4443 (0.1633)
Analysis finished at Fri Dec 18 01:01:40 2020
Total time elapsed: 1.0m:30.09s
{
"af_correlation": 0.9366,
"inflation_factor": 1.053,
"mean_EFFECT": -0.0011,
"n": 4018,
"n_snps": 7293502,
"n_clumped_hits": 1,
"n_p_sig": 1,
"n_mono": 2367,
"n_ns": 0,
"n_mac": 2042,
"is_snpid_unique": false,
"n_miss_EFFECT": 0,
"n_miss_SE": 0,
"n_miss_PVAL": 0,
"n_miss_AF": 0,
"n_miss_AF_reference": 64186,
"n_est": 3960.4234,
"ratio_se_n": 0.9928,
"mean_diff": "NaN",
"ratio_diff": "NaN",
"sd_y_est1": 2.5266,
"sd_y_est2": 2.5084,
"r2_sum1": 0.0766,
"r2_sum2": 0.012,
"r2_sum3": 0.0122,
"r2_sum4": 0.0077,
"ldsc_nsnp_merge_refpanel_ld": 1100532,
"ldsc_nsnp_merge_regression_ld": 1100532,
"ldsc_observed_scale_h2_beta": 0.2834,
"ldsc_observed_scale_h2_se": 0.1185,
"ldsc_intercept_beta": 1.018,
"ldsc_intercept_se": 0.0066,
"ldsc_lambda_gc": 1.0466,
"ldsc_mean_chisq": 1.0406,
"ldsc_ratio": 0.4433
}
name | value |
---|---|
af_correlation | FALSE |
inflation_factor | FALSE |
n | TRUE |
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 | 895 | 0.9998773 | 3 | 58 | 0 | 7292524 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | REF | 0 | 1.0000000 | 1 | 1 | 0 | 4 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | ALT | 0 | 1.0000000 | 1 | 1 | 0 | 4 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
numeric | CHROM | 0 | 1.0000000 | NA | NA | NA | NA | NA | 8.648513e+00 | 5.753498e+00 | 1.000 | 4.000000e+00 | 8.000000e+00 | 1.300000e+01 | 2.200000e+01 | ▇▅▅▂▂ |
numeric | POS | 0 | 1.0000000 | NA | NA | NA | NA | NA | 7.875108e+07 | 5.640803e+07 | 828.000 | 3.227654e+07 | 6.931337e+07 | 1.146214e+08 | 2.492164e+08 | ▇▆▅▂▁ |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | -1.066000e-03 | 4.901448e-01 | -6.908 | -6.300000e-02 | 0.000000e+00 | 6.200000e-02 | 5.081260e+02 | ▇▁▁▁▁ |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | 1.153228e-01 | 4.875204e-01 | 0.053 | 6.200000e-02 | 8.300000e-02 | 1.430000e-01 | 4.133240e+02 | ▇▁▁▁▁ |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.918702e-01 | 2.901473e-01 | 0.000 | 2.385900e-01 | 4.888600e-01 | 7.424992e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.919067e-01 | 2.901888e-01 | 0.000 | 2.385689e-01 | 4.887441e-01 | 7.428638e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | 2.603696e-01 | 2.623966e-01 | 0.000 | 4.600000e-02 | 1.560000e-01 | 4.100000e-01 | 1.000000e+00 | ▇▂▂▁▁ |
numeric | AF_reference | 64186 | 0.9911996 | NA | NA | NA | NA | NA | 2.596797e-01 | 2.523702e-01 | 0.000 | 5.491210e-02 | 1.695290e-01 | 4.027560e-01 | 1.000000e+00 | ▇▃▂▁▁ |
numeric | N | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.017808e+03 | 2.980240e+00 | 3707.000 | 4.018000e+03 | 4.018000e+03 | 4.018000e+03 | 4.018000e+03 | ▁▁▁▁▇ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 693731 | rs12238997 | A | G | -0.227 | 0.152 | 0.1340834 | 0.1353270 | 0.118 | 0.141773 | 4018 |
1 | 729679 | rs4951859 | C | G | 0.168 | 0.135 | 0.2139661 | 0.2133360 | 0.830 | 0.639976 | 4018 |
1 | 731718 | rs142557973 | T | C | -0.184 | 0.136 | 0.1769938 | 0.1760744 | 0.126 | 0.154353 | 4018 |
1 | 734349 | rs141242758 | T | C | -0.192 | 0.136 | 0.1572280 | 0.1580193 | 0.125 | 0.152556 | 4018 |
1 | 752566 | rs3094315 | G | A | 0.080 | 0.077 | 0.2971002 | 0.2988229 | 0.823 | 0.718251 | 4016 |
1 | 752721 | rs3131972 | A | G | 0.073 | 0.076 | 0.3437004 | 0.3367904 | 0.822 | 0.653355 | 4016 |
1 | 753405 | rs3115860 | C | A | 0.211 | 0.120 | 0.0799392 | 0.0786908 | 0.859 | 0.751797 | 4018 |
1 | 753541 | rs2073813 | G | A | -0.197 | 0.120 | 0.1002164 | 0.1006591 | 0.142 | 0.301917 | 4018 |
1 | 754182 | rs3131969 | A | G | 0.202 | 0.119 | 0.0883324 | 0.0896061 | 0.856 | 0.678514 | 4018 |
1 | 754192 | rs3131968 | A | G | 0.202 | 0.119 | 0.0884036 | 0.0896061 | 0.856 | 0.678514 | 4018 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
22 | 51218224 | rs9616975 | C | A | 0.127 | 0.163 | 0.4371646 | 0.4358966 | 0.074 | 0.0619010 | 4018 |
22 | 51218377 | rs2519461 | G | C | 0.125 | 0.163 | 0.4436332 | 0.4431581 | 0.074 | 0.0826677 | 4018 |
22 | 51219006 | rs28729663 | G | A | 0.033 | 0.120 | 0.7807446 | 0.7833162 | 0.144 | 0.2052720 | 4018 |
22 | 51219387 | rs9616832 | T | C | 0.131 | 0.164 | 0.4256611 | 0.4244177 | 0.074 | 0.0654952 | 4018 |
22 | 51219704 | rs147475742 | G | A | 0.255 | 0.233 | 0.2731184 | 0.2737706 | 0.040 | 0.0473243 | 4018 |
22 | 51221731 | rs115055839 | T | C | 0.129 | 0.165 | 0.4315906 | 0.4343214 | 0.074 | 0.0625000 | 4018 |
22 | 51222100 | rs114553188 | G | T | 0.081 | 0.182 | 0.6587961 | 0.6562800 | 0.057 | 0.0880591 | 4018 |
22 | 51223637 | rs375798137 | G | A | 0.081 | 0.184 | 0.6600913 | 0.6597797 | 0.057 | 0.0788738 | 4018 |
22 | 51229805 | rs9616985 | T | C | 0.130 | 0.167 | 0.4359563 | 0.4363078 | 0.074 | 0.0730831 | 4018 |
22 | 51237063 | rs3896457 | T | C | 0.044 | 0.099 | 0.6572779 | 0.6567213 | 0.287 | 0.2050720 | 4018 |
1 693731 rs12238997 A G . PASS AF=0.118 ES:SE:LP:AF:SS:SI:NC:ID -0.227:0.152:0.872625:0.118:4018:0.324:1090:rs12238997
1 729679 rs4951859 C G . PASS AF=0.83 ES:SE:LP:AF:SS:SI:NC:ID 0.168:0.135:0.669655:0.83:4018:0.361:1090:rs4951859
1 731718 rs58276399 T C . PASS AF=0.126 ES:SE:LP:AF:SS:SI:NC:ID -0.184:0.136:0.752042:0.126:4018:0.378:1090:rs58276399
1 734349 rs141242758 T C . PASS AF=0.125 ES:SE:LP:AF:SS:SI:NC:ID -0.192:0.136:0.80347:0.125:4018:0.379:1090:rs141242758
1 752566 rs3094315 G A . PASS AF=0.823 ES:SE:LP:AF:SS:SI:NC:ID 0.08:0.077:0.527097:0.823:4016:1:1089:rs3094315
1 752721 rs3131972 A G . PASS AF=0.822 ES:SE:LP:AF:SS:SI:NC:ID 0.073:0.076:0.46382:0.822:4016:1:1089:rs3131972
1 753405 rs3115860 C A . PASS AF=0.859 ES:SE:LP:AF:SS:SI:NC:ID 0.211:0.12:1.09724:0.859:4018:0.473:1090:rs3115860
1 753541 rs1388595942 G A . PASS AF=0.142 ES:SE:LP:AF:SS:SI:NC:ID -0.197:0.12:0.999061:0.142:4018:0.481:1090:rs1388595942
1 754182 rs3131969 A G . PASS AF=0.856 ES:SE:LP:AF:SS:SI:NC:ID 0.202:0.119:1.05388:0.856:4018:0.493:1090:rs3131969
1 754192 rs3131968 A G . PASS AF=0.856 ES:SE:LP:AF:SS:SI:NC:ID 0.202:0.119:1.05353:0.856:4018:0.494:1090:rs3131968
1 754334 rs3131967 T C . PASS AF=0.856 ES:SE:LP:AF:SS:SI:NC:ID 0.202:0.119:1.05271:0.856:4018:0.494:1090:rs3131967
1 754503 rs3115859 G A . PASS AF=0.824 ES:SE:LP:AF:SS:SI:NC:ID 0.198:0.123:0.972989:0.824:4018:0.417:1090:rs3115859
1 754964 rs3131966 C T . PASS AF=0.825 ES:SE:LP:AF:SS:SI:NC:ID 0.197:0.122:0.973236:0.825:4018:0.42:1090:rs3131966
1 755775 rs3131965 A G . PASS AF=0.829 ES:SE:LP:AF:SS:SI:NC:ID 0.2:0.123:0.977414:0.829:4018:0.403:1090:rs3131965
1 755890 rs1280367067 A T . PASS AF=0.858 ES:SE:LP:AF:SS:SI:NC:ID 0.209:0.119:1.10271:0.858:4018:0.48:1090:rs1280367067
1 756604 rs3131962 A G . PASS AF=0.858 ES:SE:LP:AF:SS:SI:NC:ID 0.209:0.119:1.10193:0.858:4018:0.482:1090:rs3131962
1 757640 rs3115853 G A . PASS AF=0.854 ES:SE:LP:AF:SS:SI:NC:ID 0.196:0.117:1.03194:0.854:4018:0.525:1090:rs3115853
1 757734 rs1557551770 C T . PASS AF=0.858 ES:SE:LP:AF:SS:SI:NC:ID 0.209:0.119:1.10273:0.858:4018:0.484:1090:rs1557551770
1 757936 rs1360886751 C A . PASS AF=0.858 ES:SE:LP:AF:SS:SI:NC:ID 0.209:0.119:1.10379:0.858:4018:0.485:1090:rs1360886751
1 758144 rs3131956 A G . PASS AF=0.858 ES:SE:LP:AF:SS:SI:NC:ID 0.209:0.119:1.10281:0.858:4018:0.485:1090:rs3131956
1 758626 rs3131954 C T . PASS AF=0.859 ES:SE:LP:AF:SS:SI:NC:ID 0.209:0.119:1.10029:0.859:4018:0.484:1090:rs3131954
1 760912 rs1048488 C T . PASS AF=0.827 ES:SE:LP:AF:SS:SI:NC:ID 0.206:0.122:1.04043:0.827:4018:0.408:1090:rs1048488
1 761147 rs3115850 T C . PASS AF=0.827 ES:SE:LP:AF:SS:SI:NC:ID 0.211:0.122:1.08054:0.827:4018:0.409:1090:rs3115850
1 761732 rs2286139 C T . PASS AF=0.847 ES:SE:LP:AF:SS:SI:NC:ID 0.193:0.115:1.03387:0.847:4018:0.532:1090:rs2286139
1 766007 rs61768174 A C . PASS AF=0.108 ES:SE:LP:AF:SS:SI:NC:ID -0.214:0.129:1.01666:0.108:4018:0.458:1090:rs61768174
1 768253 rs2977608 A C . PASS AF=0.744 ES:SE:LP:AF:SS:SI:NC:ID 0.11:0.079:0.786106:0.744:4018:0.651:1090:rs2977608
1 768448 rs12562034 G A . PASS AF=0.11 ES:SE:LP:AF:SS:SI:NC:ID -0.03:0.135:0.0837286:0.11:4018:0.395:1090:rs12562034
1 768819 rs12562811 C T . PASS AF=0.011 ES:SE:LP:AF:SS:SI:NC:ID -0.428:0.515:0.390706:0.011:4018:0.332:1090:rs12562811
1 769223 rs60320384 C G . PASS AF=0.138 ES:SE:LP:AF:SS:SI:NC:ID -0.214:0.117:1.17562:0.138:4018:0.491:1090:rs60320384
1 770377 rs112563271 A T . PASS AF=0.013 ES:SE:LP:AF:SS:SI:NC:ID -0.211:0.277:0.349887:0.013:4014:1:1089:rs112563271
1 771823 rs2977605 T C . PASS AF=0.859 ES:SE:LP:AF:SS:SI:NC:ID 0.209:0.115:1.16403:0.859:4018:0.517:1090:rs2977605
1 771967 rs59066358 G A . PASS AF=0.139 ES:SE:LP:AF:SS:SI:NC:ID -0.208:0.116:1.1435:0.139:4018:0.5:1090:rs59066358
1 772755 rs2905039 A C . PASS AF=0.859 ES:SE:LP:AF:SS:SI:NC:ID 0.212:0.114:1.19229:0.859:4018:0.521:1090:rs2905039
1 777122 rs2980319 A T . PASS AF=0.861 ES:SE:LP:AF:SS:SI:NC:ID 0.202:0.115:1.11104:0.861:4018:0.528:1090:rs2980319
1 777232 rs112618790 C T . PASS AF=0.093 ES:SE:LP:AF:SS:SI:NC:ID -0.068:0.14:0.203793:0.093:4018:0.426:1090:rs112618790
1 778745 rs1055606 A G . PASS AF=0.136 ES:SE:LP:AF:SS:SI:NC:ID -0.197:0.115:1.06107:0.136:4018:0.513:1090:rs1055606
1 779322 rs4040617 A G . PASS AF=0.137 ES:SE:LP:AF:SS:SI:NC:ID -0.196:0.115:1.05761:0.137:4018:0.522:1090:rs4040617
1 780785 rs2977612 T A . PASS AF=0.857 ES:SE:LP:AF:SS:SI:NC:ID 0.191:0.111:1.06533:0.857:4018:0.563:1090:rs2977612
1 781845 rs1391043716 A G . PASS AF=0.103 ES:SE:LP:AF:SS:SI:NC:ID -0.184:0.128:0.829521:0.103:4018:0.485:1090:rs1391043716
1 782981 rs6594026 C T . PASS AF=0.14 ES:SE:LP:AF:SS:SI:NC:ID -0.185:0.112:1.01278:0.14:4018:0.552:1090:rs6594026
1 785050 rs2905062 G A . PASS AF=0.856 ES:SE:LP:AF:SS:SI:NC:ID 0.186:0.109:1.04774:0.856:4018:0.606:1090:rs2905062
1 785989 rs2980300 T C . PASS AF=0.856 ES:SE:LP:AF:SS:SI:NC:ID 0.185:0.109:1.04736:0.856:4018:0.609:1090:rs2980300
1 787399 rs2905055 G T . PASS AF=0.849 ES:SE:LP:AF:SS:SI:NC:ID 0.184:0.11:1.02557:0.849:4018:0.579:1090:rs2905055
1 787606 rs3863622 G T . PASS AF=0.136 ES:SE:LP:AF:SS:SI:NC:ID -0.192:0.112:1.06066:0.136:4018:0.544:1090:rs3863622
1 787685 rs2905054 G T . PASS AF=0.848 ES:SE:LP:AF:SS:SI:NC:ID 0.178:0.109:0.984576:0.848:4018:0.587:1090:rs2905054
1 787844 rs2905053 C T . PASS AF=0.858 ES:SE:LP:AF:SS:SI:NC:ID 0.184:0.109:1.03777:0.858:4018:0.605:1090:rs2905053
1 790465 rs61768207 G A . PASS AF=0.102 ES:SE:LP:AF:SS:SI:NC:ID -0.177:0.127:0.785601:0.102:4018:0.522:1090:rs61768207
1 791191 rs111818025 G A . PASS AF=0.135 ES:SE:LP:AF:SS:SI:NC:ID -0.189:0.112:1.04261:0.135:4018:0.549:1090:rs111818025
1 791853 rs6684487 G A . PASS AF=0.094 ES:SE:LP:AF:SS:SI:NC:ID -0.05:0.133:0.152274:0.094:4018:0.481:1090:rs6684487
1 794332 rs12127425 G A . PASS AF=0.08 ES:SE:LP:AF:SS:SI:NC:ID -0.052:0.133:0.159713:0.08:4018:0.552:1090:rs12127425