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"gwas_harmonisation_command": "--json /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-a-import/processed/ukb-a-100/ukb-a-100_data.json --ref /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/QC/genomes/b37/human_g1k_v37.fasta; 1.1.1",
"file_date": "2020-02-16T00:45:58.997643",
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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-a-import/processed/ukb-a-100/ukb-a-100.vcf.gz -O z /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-a-import/processed/ukb-a-100/ukb-a-100_data.vcf.gz; Date=Sun Feb 16 01:25:21 2020",
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"bcftools_viewCommand": "view -h /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukb-a-100/ukb-a-100.vcf.gz; Date=Sun May 10 08:18:13 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-a-import/processed/ukb-a-100/ukb-a-100.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-a-import/processed/ukb-a-100/ldsc.txt \
--w-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/
Beginning analysis at Sun Feb 16 01:54:06 2020
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-a-import/processed/ukb-a-100/ukb-a-100.vcf.gz ...
Read summary statistics for 10877936 SNPs.
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, 1281483 SNPs remain.
After merging with regression SNP LD, 1281483 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.0071 (0.0017)
Lambda GC: 1.0386
Mean Chi^2: 1.0588
Intercept: 1.0118 (0.007)
Ratio: 0.2015 (0.1194)
Analysis finished at Sun Feb 16 01:55:55 2020
Total time elapsed: 1.0m:49.28s
{
"af_correlation": 0.9533,
"inflation_factor": 1.0294,
"mean_EFFECT": 6.132e-06,
"n": 337159,
"n_snps": 10877936,
"n_clumped_hits": 18,
"n_p_sig": 13018,
"n_mono": 0,
"n_ns": 0,
"n_mac": 0,
"is_snpid_unique": true,
"n_miss_EFFECT": 0,
"n_miss_SE": 0,
"n_miss_PVAL": 0,
"n_miss_AF": 0,
"n_miss_AF_reference": 356865,
"n_est": 335661.2196,
"ratio_se_n": 0.9978,
"mean_diff": 0.0001,
"ratio_diff": 44.1924,
"sd_y_est1": 0.1072,
"sd_y_est2": 0.107,
"r2_sum1": 0.0001,
"r2_sum2": 0.0092,
"r2_sum3": 0.0093,
"r2_sum4": 0.0092,
"ldsc_nsnp_merge_refpanel_ld": 1281483,
"ldsc_nsnp_merge_regression_ld": 1281483,
"ldsc_observed_scale_h2_beta": 0.0071,
"ldsc_observed_scale_h2_se": 0.0017,
"ldsc_intercept_beta": 1.0118,
"ldsc_intercept_se": 0.007,
"ldsc_lambda_gc": 1.0386,
"ldsc_mean_chisq": 1.0588,
"ldsc_ratio": 0.2007
}
name | value |
---|---|
af_correlation | FALSE |
inflation_factor | FALSE |
n | FALSE |
is_snpid_non_unique | FALSE |
mean_EFFECT_nonfinite | FALSE |
mean_EFFECT_05 | FALSE |
mean_EFFECT_01 | FALSE |
mean_chisq | FALSE |
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 | 58 | 0 | 10877936 | 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 | 8.598638e+00 | 5.745666e+00 | 1.00000e+00 | 4.000000e+00 | 8.000000e+00 | 1.300000e+01 | 2.200000e+01 | ▇▅▃▂▂ |
numeric | POS | 0 | 1.0000000 | NA | NA | NA | NA | NA | 7.911383e+07 | 5.624931e+07 | 8.28000e+02 | 3.287294e+07 | 6.988889e+07 | 1.148258e+08 | 2.492251e+08 | ▇▆▅▂▁ |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | 6.100000e-06 | 1.577900e-03 | -1.80359e-02 | -4.353000e-04 | -8.700000e-06 | 4.129000e-04 | 3.444450e-02 | ▁▇▁▁▁ |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | 1.124700e-03 | 1.065300e-03 | 2.58000e-04 | 3.187000e-04 | 6.121000e-04 | 1.635600e-03 | 5.863100e-03 | ▇▂▁▁▁ |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.951485e-01 | 2.903503e-01 | 0.00000e+00 | 2.431840e-01 | 4.937715e-01 | 7.465209e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.951480e-01 | 2.903506e-01 | 0.00000e+00 | 2.431838e-01 | 4.937707e-01 | 7.465207e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | 1.820865e-01 | 2.503832e-01 | 1.00090e-03 | 6.878700e-03 | 5.191440e-02 | 2.739880e-01 | 9.989990e-01 | ▇▂▁▁▁ |
numeric | AF_reference | 356865 | 0.9671937 | NA | NA | NA | NA | NA | 1.877709e-01 | 2.439191e-01 | 0.00000e+00 | 5.191700e-03 | 7.468050e-02 | 2.873400e-01 | 1.000000e+00 | ▇▂▁▁▁ |
numeric | N | 0 | 1.0000000 | NA | NA | NA | NA | NA | 3.371590e+05 | 0.000000e+00 | 3.37159e+05 | 3.371590e+05 | 3.371590e+05 | 3.371590e+05 | 3.371590e+05 | ▁▁▇▁▁ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 693731 | rs12238997 | A | G | -0.0009536 | 0.0004307 | 0.0268250 | 0.0268246 | 0.1169260 | 0.1417730 | 337159 |
1 | 717587 | rs144155419 | G | A | -0.0028312 | 0.0011569 | 0.0144016 | 0.0144005 | 0.0143862 | 0.0045926 | 337159 |
1 | 730087 | rs148120343 | T | C | -0.0007352 | 0.0006002 | 0.2206028 | 0.2206017 | 0.0554733 | 0.0127796 | 337159 |
1 | 731718 | rs142557973 | T | C | -0.0008886 | 0.0004086 | 0.0296640 | 0.0296636 | 0.1216580 | 0.1543530 | 337159 |
1 | 734349 | rs141242758 | T | C | -0.0008641 | 0.0004089 | 0.0345693 | 0.0345682 | 0.1215130 | 0.1525560 | 337159 |
1 | 740284 | rs61770167 | C | T | -0.0014552 | 0.0018612 | 0.4343002 | 0.4343000 | 0.0058556 | 0.0023962 | 337159 |
1 | 742813 | rs112573343 | C | T | -0.0006365 | 0.0035123 | 0.8561990 | 0.8561989 | 0.0015525 | 0.1030350 | 337159 |
1 | 753405 | rs3115860 | C | A | 0.0007579 | 0.0003885 | 0.0510423 | 0.0510422 | 0.8706760 | 0.7517970 | 337159 |
1 | 753541 | rs2073813 | G | A | -0.0007601 | 0.0003894 | 0.0509577 | 0.0509572 | 0.1288330 | 0.3019170 | 337159 |
1 | 754182 | rs3131969 | A | G | 0.0007666 | 0.0003880 | 0.0482025 | 0.0482015 | 0.8703180 | 0.6785140 | 337159 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
22 | 51219387 | rs9616832 | T | C | -0.0002530 | 0.0005003 | 0.6130445 | 0.6130445 | 0.0729806 | 0.0654952 | 337159 |
22 | 51219704 | rs147475742 | G | A | -0.0006485 | 0.0006707 | 0.3336038 | 0.3336030 | 0.0418225 | 0.0473243 | 337159 |
22 | 51219766 | rs182321900 | C | T | -0.0000445 | 0.0034480 | 0.9897070 | 0.9897066 | 0.0014546 | NA | 337159 |
22 | 51220088 | rs566371895 | G | A | -0.0006549 | 0.0022553 | 0.7715090 | 0.7715090 | 0.0039843 | 0.0003994 | 337159 |
22 | 51220146 | rs868950473 | C | T | 0.0003733 | 0.0033964 | 0.9124801 | 0.9124803 | 0.0015139 | NA | 337159 |
22 | 51221731 | rs115055839 | T | C | -0.0002442 | 0.0005006 | 0.6257574 | 0.6257570 | 0.0728101 | 0.0625000 | 337159 |
22 | 51223637 | rs375798137 | G | A | -0.0012939 | 0.0005897 | 0.0282351 | 0.0282340 | 0.0540289 | 0.0788738 | 337159 |
22 | 51226692 | rs150189434 | G | A | -0.0001894 | 0.0035264 | 0.9571599 | 0.9571601 | 0.0013983 | 0.0155751 | 337159 |
22 | 51229805 | rs9616985 | T | C | -0.0002810 | 0.0005025 | 0.5760856 | 0.5760854 | 0.0727671 | 0.0730831 | 337159 |
22 | 51237063 | rs3896457 | T | C | 0.0005193 | 0.0003058 | 0.0894911 | 0.0894903 | 0.2968410 | 0.2050720 | 337159 |
1 693731 rs12238997 A G . PASS AF=0.116926 ES:SE:LP:AF:SS:ID -0.00095364:0.00043072:1.57146:0.116926:337159:rs12238997
1 717587 rs144155419 G A . PASS AF=0.0143862 ES:SE:LP:AF:SS:ID -0.00283119:0.00115695:1.84159:0.0143862:337159:rs144155419
1 730087 rs148120343 T C . PASS AF=0.0554733 ES:SE:LP:AF:SS:ID -0.000735198:0.000600196:0.656389:0.0554733:337159:rs148120343
1 731718 rs58276399 T C . PASS AF=0.121658 ES:SE:LP:AF:SS:ID -0.000888579:0.000408626:1.52777:0.121658:337159:rs58276399
1 734349 rs141242758 T C . PASS AF=0.121513 ES:SE:LP:AF:SS:ID -0.000864077:0.00040886:1.46131:0.121513:337159:rs141242758
1 740284 rs61770167 C T . PASS AF=0.00585559 ES:SE:LP:AF:SS:ID -0.00145518:0.00186119:0.36221:0.00585559:337159:rs61770167
1 742813 rs112573343 C T . PASS AF=0.0015525 ES:SE:LP:AF:SS:ID -0.000636481:0.0035123:0.0674253:0.0015525:337159:rs112573343
1 753405 rs3115860 C A . PASS AF=0.870676 ES:SE:LP:AF:SS:ID 0.000757932:0.000388459:1.29207:0.870676:337159:rs3115860
1 753541 rs2073813 G A . PASS AF=0.128833 ES:SE:LP:AF:SS:ID -0.000760105:0.00038943:1.29279:0.128833:337159:rs2073813
1 754182 rs3131969 A G . PASS AF=0.870318 ES:SE:LP:AF:SS:ID 0.000766623:0.000388048:1.31693:0.870318:337159:rs3131969
1 754192 rs3131968 A G . PASS AF=0.870409 ES:SE:LP:AF:SS:ID 0.000772608:0.000388232:1.33176:0.870409:337159:rs3131968
1 754334 rs3131967 T C . PASS AF=0.870037 ES:SE:LP:AF:SS:ID 0.000767408:0.000388033:1.31908:0.870037:337159:rs3131967
1 754433 rs150578204 G A . PASS AF=0.00465304 ES:SE:LP:AF:SS:ID -0.000789025:0.00197981:0.161002:0.00465304:337159:rs150578204
1 754458 rs142682604 G T . PASS AF=0.00464711 ES:SE:LP:AF:SS:ID -0.000762486:0.00198521:0.154334:0.00464711:337159:rs142682604
1 755435 rs184270342 T G . PASS AF=0.00590897 ES:SE:LP:AF:SS:ID -0.00122875:0.00193325:0.279803:0.00590897:337159:rs184270342
1 755890 rs3115858 A T . PASS AF=0.870329 ES:SE:LP:AF:SS:ID 0.000768563:0.00038736:1.32564:0.870329:337159:rs3115858
1 756604 rs3131962 A G . PASS AF=0.87002 ES:SE:LP:AF:SS:ID 0.000780088:0.000386431:1.36132:0.87002:337159:rs3131962
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1 757734 rs4951929 C T . PASS AF=0.870219 ES:SE:LP:AF:SS:ID 0.000767846:0.000386751:1.32695:0.870219:337159:rs4951929
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1 758144 rs3131956 A G . PASS AF=0.870222 ES:SE:LP:AF:SS:ID 0.000767264:0.000386791:1.3252:0.870222:337159:rs3131956
1 758626 rs3131954 C T . PASS AF=0.870396 ES:SE:LP:AF:SS:ID 0.000770544:0.000387783:1.32867:0.870396:337159:rs3131954
1 761732 rs2286139 C T . PASS AF=0.867743 ES:SE:LP:AF:SS:ID 0.000764434:0.000385933:1.3222:0.867743:337159:rs2286139
1 766007 rs61768174 A C . PASS AF=0.106958 ES:SE:LP:AF:SS:ID -0.000667226:0.000429722:0.91902:0.106958:337159:rs61768174
1 768253 rs2977608 A C . PASS AF=0.763932 ES:SE:LP:AF:SS:ID 0.000619643:0.000306228:1.36627:0.763932:337159:rs2977608
1 768448 rs12562034 G A . PASS AF=0.105257 ES:SE:LP:AF:SS:ID -0.000245768:0.000422742:0.251042:0.105257:337159:rs12562034
1 768819 rs12562811 C T . PASS AF=0.00692766 ES:SE:LP:AF:SS:ID -0.000703678:0.00157052:0.184347:0.00692766:337159:rs12562811
1 769223 rs60320384 C G . PASS AF=0.128651 ES:SE:LP:AF:SS:ID -0.000808839:0.00038885:1.42575:0.128651:337159:rs60320384
1 769224 rs141644775 G A . PASS AF=0.00143239 ES:SE:LP:AF:SS:ID 0.00230789:0.00365371:0.277686:0.00143239:337159:rs141644775
1 770181 rs146076599 A G . PASS AF=0.00907328 ES:SE:LP:AF:SS:ID -0.00415526:0.00149013:2.27611:0.00907328:337159:rs146076599
1 770377 rs112563271 A T . PASS AF=0.00692321 ES:SE:LP:AF:SS:ID -0.000710231:0.00157734:0.18541:0.00692321:337159:rs112563271
1 771823 rs2977605 T C . PASS AF=0.869934 ES:SE:LP:AF:SS:ID 0.000790672:0.000387126:1.38604:0.869934:337159:rs2977605
1 771967 rs59066358 G A . PASS AF=0.128709 ES:SE:LP:AF:SS:ID -0.000782751:0.000388674:1.35634:0.128709:337159:rs59066358
1 772755 rs2905039 A C . PASS AF=0.870112 ES:SE:LP:AF:SS:ID 0.000801891:0.000387144:1.41644:0.870112:337159:rs2905039
1 774736 rs28830877 A C . PASS AF=0.998797 ES:SE:LP:AF:SS:ID 0.000185172:0.00402187:0.0162488:0.998797:337159:rs28830877
1 776556 rs151160018 C T . PASS AF=0.00851871 ES:SE:LP:AF:SS:ID -0.00245095:0.00145285:1.03808:0.00851871:337159:rs151160018
1 777122 rs2980319 A T . PASS AF=0.871122 ES:SE:LP:AF:SS:ID 0.000809557:0.000387802:1.43369:0.871122:337159:rs2980319
1 777232 rs112618790 C T . PASS AF=0.0961319 ES:SE:LP:AF:SS:ID -0.000152686:0.00044774:0.134842:0.0961319:337159:rs112618790
1 778745 rs1055606 A G . PASS AF=0.127871 ES:SE:LP:AF:SS:ID -0.000818083:0.000389076:1.44979:0.127871:337159:rs1055606
1 779322 rs4040617 A G . PASS AF=0.127984 ES:SE:LP:AF:SS:ID -0.000821273:0.00038855:1.46164:0.127984:337159:rs4040617
1 780785 rs2977612 T A . PASS AF=0.870455 ES:SE:LP:AF:SS:ID 0.000783098:0.000387167:1.36541:0.870455:337159:rs2977612
1 781367 rs149821290 A C . PASS AF=0.00989772 ES:SE:LP:AF:SS:ID -0.00141293:0.00137795:0.51544:0.00989772:337159:rs149821290
1 781845 rs61768199 A G . PASS AF=0.1044 ES:SE:LP:AF:SS:ID -0.00079013:0.000435376:1.15769:0.1044:337159:rs61768199
1 782721 rs185280546 G A . PASS AF=0.0143713 ES:SE:LP:AF:SS:ID -3.88421e-05:0.00117845:0.0115722:0.0143713:337159:rs185280546
1 782981 rs6594026 C T . PASS AF=0.128338 ES:SE:LP:AF:SS:ID -0.000807154:0.000388763:1.42165:0.128338:337159:rs6594026
1 783193 rs145767270 G C . PASS AF=0.0143639 ES:SE:LP:AF:SS:ID -5.15772e-05:0.00118345:0.015366:0.0143639:337159:rs145767270
1 783194 rs138555831 G T . PASS AF=0.0143713 ES:SE:LP:AF:SS:ID -4.29152e-05:0.0011833:0.0127499:0.0143713:337159:rs138555831
1 783711 rs184266993 G A . PASS AF=0.00541372 ES:SE:LP:AF:SS:ID -0.00335037:0.0018919:1.11589:0.00541372:337159:rs184266993
1 785050 rs2905062 G A . PASS AF=0.87014 ES:SE:LP:AF:SS:ID 0.000834365:0.000387225:1.50607:0.87014:337159:rs2905062
1 785989 rs2980300 T C . PASS AF=0.87009 ES:SE:LP:AF:SS:ID 0.000835412:0.000387471:1.50753:0.87009:337159:rs2980300