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"FORMAT.1": "<ID=ES,Number=A,Type=Float,Description=\"Effect size estimate relative to the alternative allele\">",
"FORMAT.2": "<ID=EZ,Number=A,Type=Float,Description=\"Z-score provided if it was used to derive the EFFECT and SE fields\">",
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"INFO.2": "<ID=SwappedAlleles,Number=0,Type=Flag,Description=\"The REF and the ALT alleles have been swapped in liftover due to changes in the reference. It is possible that not all INFO annotations reflect this swap, and in the genotypes, only the GT, PL, and AD fields have been modified. You should check the TAGS_TO_REVERSE parameter that was used during the LiftOver to be sure.\">",
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"META.5": "<ID=TotalVariants,Number=1,Type=Integer,Description=\"Total number of variants in input\">",
"META.6": "<ID=VariantsNotHarmonised,Number=1,Type=Integer,Description=\"Total number of variants that could not be harmonised\">",
"META.7": "<ID=VariantsNotRead,Number=1,Type=Integer,Description=\"Number of variants that could not be read\">",
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"file_date": "2019-10-26T21:42:56.677159",
"gwas_harmonisation_command": "--json /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ebi_gwas_import/processed/EBI-a-GCST005841/EBI-a-GCST005841_data.json --ref /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/QC/genomes/hg38/hg38.fa; 1.1.1",
"reference": "file:/mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/QC/genomes/b37/human_g1k_v37.fasta",
"bcftools_annotateVersion": "1.9-74-g6af271c+htslib-1.9-64-g226b4a8",
"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/ebi_gwas_import/processed/EBI-a-GCST005841/EBI-a-GCST005841.vcf.gz -O z /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ebi_gwas_import/processed/EBI-a-GCST005841/EBI-a-GCST005841_data.vcf.gz; Date=Sat Oct 26 21:55:52 2019",
"bcftools_viewVersion": "1.9-74-g6af271c+htslib-1.9-64-g226b4a8",
"bcftools_viewCommand": "view -h /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ebi-a-GCST005841/ebi-a-GCST005841.vcf.gz; Date=Fri May 8 07:09:57 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/ebi_gwas_import/processed/EBI-a-GCST005841/EBI-a-GCST005841.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/ebi_gwas_import/processed/EBI-a-GCST005841/ldsc.txt \
--snplist /data/ref/snplist.gz \
--w-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/
Beginning analysis at Sat Oct 26 22:19:16 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ebi_gwas_import/processed/EBI-a-GCST005841/EBI-a-GCST005841.vcf.gz ...
and extracting SNPs specified in /data/ref/snplist.gz ...
Traceback (most recent call last):
File "./ldsc/ldsc.py", line 647, in <module>
sumstats.estimate_h2(args, log)
File "/mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ebi_gwas_import/igd-hpc-pipeline/resources/gwas_processing/ldsc/ldscore/sumstats.py", line 330, in estimate_h2
args, log, args.h2)
File "/mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ebi_gwas_import/igd-hpc-pipeline/resources/gwas_processing/ldsc/ldscore/sumstats.py", line 246, in _read_ld_sumstats
sumstats = _read_sumstats(args, log, fh, alleles=alleles, dropna=dropna)
File "/mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ebi_gwas_import/igd-hpc-pipeline/resources/gwas_processing/ldsc/ldscore/sumstats.py", line 165, in _read_sumstats
sumstats = ps.sumstats(fh, alleles=alleles, dropna=dropna, slh=args.snplist)
File "/mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ebi_gwas_import/igd-hpc-pipeline/resources/gwas_processing/ldsc/ldscore/parse.py", line 85, in sumstats
x = read_vcf(fh, alleles, slh)
File "/mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ebi_gwas_import/igd-hpc-pipeline/resources/gwas_processing/ldsc/ldscore/parse.py", line 161, in read_vcf
with gzip.open(slh) as f:
File "/mnt/storage/home/gh13047/mr-eve/conda/ldsc/lib/python2.7/gzip.py", line 34, in open
return GzipFile(filename, mode, compresslevel)
File "/mnt/storage/home/gh13047/mr-eve/conda/ldsc/lib/python2.7/gzip.py", line 94, in __init__
fileobj = self.myfileobj = __builtin__.open(filename, mode or 'rb')
IOError: [Errno 2] No such file or directory: '/data/ref/snplist.gz'
Analysis finished at Sat Oct 26 22:19:57 2019
Total time elapsed: 40.23s
{
"af_correlation": 0.9642,
"inflation_factor": 1.0777,
"mean_EFFECT": 0.0026,
"n": "-Inf",
"n_snps": 6150261,
"n_clumped_hits": 1,
"n_p_sig": 2,
"n_mono": 0,
"n_ns": 0,
"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": 109806,
"n_est": "NA",
"ratio_se_n": "NA",
"mean_diff": "NaN",
"ratio_diff": "NaN",
"sd_y_est1": "NA",
"sd_y_est2": "NA",
"r2_sum1": 0,
"r2_sum2": 0,
"r2_sum3": 0,
"r2_sum4": 0,
"ldsc_nsnp_merge_refpanel_ld": "NA",
"ldsc_nsnp_merge_regression_ld": "NA",
"ldsc_observed_scale_h2_beta": "NA",
"ldsc_observed_scale_h2_se": "NA",
"ldsc_intercept_beta": "NA",
"ldsc_intercept_se": "NA",
"ldsc_lambda_gc": "NA",
"ldsc_mean_chisq": "NA",
"ldsc_ratio": "NA"
}
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 | TRUE |
n_p_sig | FALSE |
miss_EFFECT | FALSE |
miss_SE | FALSE |
miss_PVAL | FALSE |
ldsc_ratio | TRUE |
ldsc_intercept_beta | TRUE |
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 | logical.mean | logical.count | numeric.mean | numeric.sd | numeric.p0 | numeric.p25 | numeric.p50 | numeric.p75 | numeric.p100 | numeric.hist |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
character | ID | 0 | 1.0000000 | 3 | 58 | 0 | 6135826 | 0 | NA | NA | 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 | NA | NA |
character | ALT | 0 | 1.0000000 | 1 | 1 | 0 | 4 | 0 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
logical | N | 6135831 | 0.0000000 | NA | NA | NA | NA | NA | NaN | : | NA | NA | NA | NA | NA | NA | NA | NA |
numeric | CHROM | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 8.601787e+00 | 5.728461e+00 | 1.0000 | 4.000000e+00 | 8.000000e+00 | 1.300000e+01 | 2.300000e+01 | <U+2587><U+2585><U+2585><U+2582><U+2582> |
numeric | POS | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 7.892381e+07 | 5.648515e+07 | 828.0000 | 3.234225e+07 | 6.953771e+07 | 1.147804e+08 | 2.492297e+08 | <U+2587><U+2586><U+2585><U+2582><U+2581> |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 2.646600e-03 | 2.868830e-02 | -0.5463 | -1.420000e-02 | 2.000000e-03 | 1.850000e-02 | 4.773000e-01 | <U+2581><U+2581><U+2587><U+2581><U+2581> |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 2.564170e-02 | 1.075990e-02 | 0.0156 | 1.850000e-02 | 2.190000e-02 | 2.900000e-02 | 2.160000e-01 | <U+2587><U+2581><U+2581><U+2581><U+2581> |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.877893e-01 | 2.912694e-01 | 0.0000 | 2.332002e-01 | 4.838002e-01 | 7.397994e-01 | 9.996000e-01 | <U+2587><U+2587><U+2587><U+2587><U+2587> |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.877882e-01 | 2.912684e-01 | 0.0000 | 2.331943e-01 | 4.839273e-01 | 7.399535e-01 | 9.994882e-01 | <U+2587><U+2587><U+2587><U+2587><U+2587> |
numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 3.373117e-01 | 2.239655e-01 | 0.0101 | 1.531000e-01 | 2.845000e-01 | 4.854000e-01 | 9.894000e-01 | <U+2587><U+2586><U+2585><U+2582><U+2581> |
numeric | AF_reference | 109806 | 0.9821041 | NA | NA | NA | NA | NA | NA | NA | 3.200661e-01 | 2.405600e-01 | 0.0000 | 1.212060e-01 | 2.490020e-01 | 4.776360e-01 | 1.000000e+00 | <U+2587><U+2585><U+2583><U+2582><U+2581> |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 751756 | rs143225517 | T | C | -0.0599 | 0.0273 | 0.0282098 | 0.0282254 | 0.2001 | 0.242212 | NA |
1 | 752566 | rs3094315 | G | A | 0.0421 | 0.0246 | 0.0864809 | 0.0870106 | 0.7788 | 0.718251 | NA |
1 | 752721 | rs3131972 | A | G | 0.0321 | 0.0252 | 0.2027001 | 0.2027309 | 0.7187 | 0.653355 | NA |
1 | 752894 | rs3131971 | T | C | 0.0421 | 0.0257 | 0.1009999 | 0.1013941 | 0.7859 | 0.753195 | NA |
1 | 753405 | rs3115860 | C | A | 0.0519 | 0.0265 | 0.0501003 | 0.0501725 | 0.7935 | 0.751797 | NA |
1 | 753474 | rs2073814 | C | G | -0.0107 | 0.0328 | 0.7448006 | 0.7442583 | 0.7002 | 0.611422 | NA |
1 | 753541 | rs2073813 | G | A | 0.0202 | 0.0334 | 0.5446995 | 0.5453183 | 0.2643 | 0.301917 | NA |
1 | 754182 | rs3131969 | A | G | -0.0116 | 0.0335 | 0.7289001 | 0.7291408 | 0.7213 | 0.678514 | NA |
1 | 754192 | rs3131968 | A | G | -0.0120 | 0.0334 | 0.7205000 | 0.7193846 | 0.7215 | 0.678514 | NA |
1 | 754334 | rs3131967 | T | C | -0.0181 | 0.0336 | 0.5913002 | 0.5901004 | 0.7148 | 0.684305 | NA |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
22 | 51195156 | rs149795519 | T | C | -0.0140 | 0.0376 | 0.7099994 | 0.7096394 | 0.1759 | 0.202077 | NA |
22 | 51195304 | rs185391242 | A | G | -0.0298 | 0.0345 | 0.3882004 | 0.3877153 | 0.1722 | NA | NA |
22 | 51196164 | rs8136603 | A | T | -0.0492 | 0.0463 | 0.2870001 | 0.2879475 | 0.1778 | 0.142772 | NA |
22 | 51197266 | rs61290853 | A | G | -0.0095 | 0.0276 | 0.7304004 | 0.7306937 | 0.4093 | 0.422923 | NA |
22 | 51198232 | rs3859893 | C | G | 0.0283 | 0.0291 | 0.3315004 | 0.3307976 | 0.3321 | 0.262380 | NA |
22 | 51199281 | rs4040021 | T | C | -0.0001 | 0.0273 | 0.9983000 | 0.9970774 | 0.4382 | 0.461262 | NA |
22 | 51203312 | rs61642220 | T | C | 0.0149 | 0.0294 | 0.6115993 | 0.6122932 | 0.3263 | 0.282748 | NA |
22 | 51208568 | rs148425445 | G | T | -0.0790 | 0.0500 | 0.1142000 | 0.1141069 | 0.1289 | 0.116014 | NA |
22 | 51216564 | rs9616970 | T | C | -0.0210 | 0.0364 | 0.5640999 | 0.5639914 | 0.1627 | 0.156350 | NA |
23 | 100784211 | rs188350543 | C | A | 0.0148 | 0.0236 | 0.5310006 | 0.5305815 | 0.7453 | 0.649801 | NA |
1 751756 rs28527770 T C . PASS AF=0.2001 ES:SE:LP:AF:ID -0.0599:0.0273:1.5496:0.2001:rs28527770
1 752566 rs3094315 G A . PASS AF=0.7788 ES:SE:LP:AF:ID 0.0421:0.0246:1.06308:0.7788:rs3094315
1 752721 rs3131972 A G . PASS AF=0.7187 ES:SE:LP:AF:ID 0.0321:0.0252:0.693146:0.7187:rs3131972
1 752894 rs3131971 T C . PASS AF=0.7859 ES:SE:LP:AF:ID 0.0421:0.0257:0.995679:0.7859:rs3131971
1 753405 rs3115860 C A . PASS AF=0.7935 ES:SE:LP:AF:ID 0.0519:0.0265:1.30016:0.7935:rs3115860
1 753474 rs2073814 C G . PASS AF=0.7002 ES:SE:LP:AF:ID -0.0107:0.0328:0.12796:0.7002:rs2073814
1 753541 rs2073813 G A . PASS AF=0.2643 ES:SE:LP:AF:ID 0.0202:0.0334:0.263843:0.2643:rs2073813
1 754182 rs3131969 A G . PASS AF=0.7213 ES:SE:LP:AF:ID -0.0116:0.0335:0.137332:0.7213:rs3131969
1 754192 rs3131968 A G . PASS AF=0.7215 ES:SE:LP:AF:ID -0.012:0.0334:0.142366:0.7215:rs3131968
1 754334 rs3131967 T C . PASS AF=0.7148 ES:SE:LP:AF:ID -0.0181:0.0336:0.228192:0.7148:rs3131967
1 754503 rs3115859 G A . PASS AF=0.7227 ES:SE:LP:AF:ID 0.0344:0.0264:0.716021:0.7227:rs3115859
1 754964 rs3131966 C T . PASS AF=0.702 ES:SE:LP:AF:ID -0.0263:0.0326:0.377061:0.702:rs3131966
1 755775 rs3131965 A G . PASS AF=0.7697 ES:SE:LP:AF:ID 0.0407:0.0285:0.8173:0.7697:rs3131965
1 755890 rs3115858 A T . PASS AF=0.7891 ES:SE:LP:AF:ID 0.0511:0.0269:1.24489:0.7891:rs3115858
1 756604 rs3131962 A G . PASS AF=0.7778 ES:SE:LP:AF:ID 0.0517:0.027:1.25493:0.7778:rs3131962
1 757640 rs3115853 G A . PASS AF=0.7102 ES:SE:LP:AF:ID -0.0058:0.0344:0.0626326:0.7102:rs3115853
1 757734 rs4951929 C T . PASS AF=0.789 ES:SE:LP:AF:ID 0.0533:0.0272:1.30312:0.789:rs4951929
1 757936 rs4951862 C A . PASS AF=0.7882 ES:SE:LP:AF:ID 0.0572:0.0272:1.45309:0.7882:rs4951862
1 758144 rs3131956 A G . PASS AF=0.7828 ES:SE:LP:AF:ID 0.0541:0.0265:1.38775:0.7828:rs3131956
1 758626 rs3131954 C T . PASS AF=0.7902 ES:SE:LP:AF:ID 0.0553:0.0275:1.35164:0.7902:rs3131954
1 759700 rs3115852 T C . PASS AF=0.7837 ES:SE:LP:AF:ID 0.0472:0.0285:1.01019:0.7837:rs3115852
1 759837 rs3115851 T A . PASS AF=0.7901 ES:SE:LP:AF:ID 0.05:0.0277:1.14691:0.7901:rs3115851
1 760912 rs1048488 C T . PASS AF=0.7562 ES:SE:LP:AF:ID 0.0459:0.0271:1.04215:0.7562:rs1048488
1 761147 rs3115850 T C . PASS AF=0.7577 ES:SE:LP:AF:ID 0.0383:0.0272:0.801618:0.7577:rs3115850
1 761752 rs1057213 C T . PASS AF=0.7861 ES:SE:LP:AF:ID 0.054:0.0282:1.2583:0.7861:rs1057213
1 762273 rs3115849 G A . PASS AF=0.7748 ES:SE:LP:AF:ID 0.0334:0.0283:0.622876:0.7748:rs3115849
1 762589 rs3115848 G C . PASS AF=0.7681 ES:SE:LP:AF:ID 0.0419:0.0286:0.845272:0.7681:rs3115848
1 762592 rs3131950 C G . PASS AF=0.7674 ES:SE:LP:AF:ID 0.0387:0.0286:0.755723:0.7674:rs3131950
1 762601 rs3131949 T C . PASS AF=0.7656 ES:SE:LP:AF:ID 0.0407:0.0287:0.805486:0.7656:rs3131949
1 762632 rs3131948 T A . PASS AF=0.7664 ES:SE:LP:AF:ID 0.0432:0.0286:0.882397:0.7664:rs3131948
1 764191 rs7515915 T G . PASS AF=0.1941 ES:SE:LP:AF:ID -0.0516:0.0291:1.12131:0.1941:rs7515915
1 766007 rs61768174 A C . PASS AF=0.114 ES:SE:LP:AF:ID -0.0548:0.0369:0.864231:0.114:rs61768174
1 769223 rs60320384 C G . PASS AF=0.171 ES:SE:LP:AF:ID -0.0439:0.0304:0.830032:0.171:rs60320384
1 771823 rs2977605 T C . PASS AF=0.7863 ES:SE:LP:AF:ID 0.0415:0.0292:0.809388:0.7863:rs2977605
1 771967 rs59066358 G A . PASS AF=0.1868 ES:SE:LP:AF:ID -0.0524:0.03:1.09534:0.1868:rs59066358
1 772755 rs2905039 A C . PASS AF=0.7894 ES:SE:LP:AF:ID 0.042:0.0293:0.819874:0.7894:rs2905039
1 775181 rs61768182 A G . PASS AF=0.196 ES:SE:LP:AF:ID -0.0527:0.0297:1.12022:0.196:rs61768182
1 777122 rs2980319 A T . PASS AF=0.7841 ES:SE:LP:AF:ID 0.0426:0.0296:0.823909:0.7841:rs2980319
1 778745 rs1055606 A G . PASS AF=0.1877 ES:SE:LP:AF:ID -0.053:0.0303:1.09588:0.1877:rs1055606
1 779322 rs4040617 A G . PASS AF=0.1968 ES:SE:LP:AF:ID -0.0524:0.0299:1.09816:0.1968:rs4040617
1 786995 rs61768202 G A . PASS AF=0.1938 ES:SE:LP:AF:ID -0.0506:0.0306:1.0067:0.1938:rs61768202
1 787262 rs2905056 C G . PASS AF=0.7861 ES:SE:LP:AF:ID 0.042:0.0305:0.77237:0.7861:rs2905056
1 787606 rs3863622 G T . PASS AF=0.1975 ES:SE:LP:AF:ID -0.0498:0.0306:0.9859:0.1975:rs3863622
1 787844 rs2905053 C T . PASS AF=0.7217 ES:SE:LP:AF:ID -0.0091:0.0357:0.0975619:0.7217:rs2905053
1 790465 rs61768207 G A . PASS AF=0.1609 ES:SE:LP:AF:ID 0.0053:0.0411:0.0470623:0.1609:rs61768207
1 791191 rs111818025 G A . PASS AF=0.216 ES:SE:LP:AF:ID -0.0051:0.0371:0.0507564:0.216:rs111818025
1 797440 rs58013264 T C . PASS AF=0.1801 ES:SE:LP:AF:ID -0.0079:0.0384:0.0769633:0.1801:rs58013264
1 808289 rs113532475 A T . PASS AF=0.1256 ES:SE:LP:AF:ID 0.0239:0.0441:0.230992:0.1256:rs113532475
1 838387 rs4970384 T C . PASS AF=0.2024 ES:SE:LP:AF:ID -0.0059:0.0271:0.0828097:0.2024:rs4970384
1 840327 rs28625089 G A . PASS AF=0.1865 ES:SE:LP:AF:ID -0.0232:0.0287:0.378928:0.1865:rs28625089