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}
*********************************************************************
* 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/ieu-a-import/processed/ieu-a-67/ieu-a-67.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/ieu-a-import/processed/ieu-a-67/ldsc.txt \
--w-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/
Beginning analysis at Tue Feb 4 11:56:04 2020
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ieu-a-import/processed/ieu-a-67/ieu-a-67.vcf.gz ...
Read summary statistics for 2513636 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, 1172046 SNPs remain.
After merging with regression SNP LD, 1172046 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.1032 (0.0058)
Lambda GC: 1.0291
Mean Chi^2: 1.1339
Intercept: 0.8354 (0.0066)
Ratio < 0 (usually indicates GC correction).
Analysis finished at Tue Feb 4 11:56:38 2020
Total time elapsed: 34.56s
{
"af_correlation": 0.9179,
"inflation_factor": 1.0475,
"mean_EFFECT": -0.0001,
"n": 231355,
"n_snps": 2513636,
"n_clumped_hits": 65,
"n_p_sig": 882,
"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": 25229,
"n_miss_AF_reference": 22228,
"n_est": 229011.4901,
"ratio_se_n": 0.9949,
"mean_diff": 0,
"ratio_diff": 4.7364,
"sd_y_est1": 1.464,
"sd_y_est2": 1.4566,
"r2_sum1": 0.0183,
"r2_sum2": 0.0085,
"r2_sum3": 0.0086,
"r2_sum4": 0.0133,
"ldsc_nsnp_merge_refpanel_ld": 1172046,
"ldsc_nsnp_merge_regression_ld": 1172046,
"ldsc_observed_scale_h2_beta": 0.1032,
"ldsc_observed_scale_h2_se": 0.0058,
"ldsc_intercept_beta": 0.8354,
"ldsc_intercept_se": 0.0066,
"ldsc_lambda_gc": 1.0291,
"ldsc_mean_chisq": 1.1339,
"ldsc_ratio": -1.2293
}
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 | 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 | 0 | 1.0000000 | 3 | 42 | 0 | 2513636 | 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 | 8.597717e+00 | 5.663286e+00 | 1.0000 | 4.000000e+00 | 8.000000e+00 | 1.200000e+01 | 2.30000e+01 | ▇▅▅▂▂ |
numeric | POS | 0 | 1.0000000 | NA | NA | NA | NA | NA | 7.881082e+07 | 5.568353e+07 | 11523.0000 | 3.264716e+07 | 7.020863e+07 | 1.142758e+08 | 2.49219e+08 | ▇▆▅▂▁ |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | -8.760000e-05 | 9.418100e-03 | -0.2800 | -4.100000e-03 | 0.000000e+00 | 4.100000e-03 | 2.90000e-01 | ▁▁▇▁▁ |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | 7.357200e-03 | 6.375100e-03 | 0.0033 | 4.500000e-03 | 5.300000e-03 | 7.500000e-03 | 4.60000e-01 | ▇▁▁▁▁ |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.942221e-01 | 2.922193e-01 | 0.0000 | 2.399999e-01 | 4.899999e-01 | 7.499995e-01 | 1.00000e+00 | ▇▇▇▇▇ |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.941433e-01 | 2.921766e-01 | 0.0000 | 2.407650e-01 | 4.946531e-01 | 7.470129e-01 | 1.00000e+00 | ▇▇▇▇▇ |
numeric | AF | 25229 | 0.9899631 | NA | NA | NA | NA | NA | 3.551178e-01 | 2.765300e-01 | 0.0083 | 1.167000e-01 | 2.917000e-01 | 5.583000e-01 | 9.91700e-01 | ▇▅▃▂▂ |
numeric | AF_reference | 22228 | 0.9911570 | NA | NA | NA | NA | NA | 3.591245e-01 | 2.573203e-01 | 0.0000 | 1.427720e-01 | 2.957270e-01 | 5.441290e-01 | 1.00000e+00 | ▇▆▃▃▂ |
numeric | N | 0 | 1.0000000 | NA | NA | NA | NA | NA | 1.482723e+05 | 2.118271e+04 | 50001.0000 | 1.434790e+05 | 1.520210e+05 | 1.533420e+05 | 2.31355e+05 | ▁▁▇▁▁ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 721290 | rs12565286 | G | C | -0.0130 | 0.0170 | 0.4299995 | 0.4444467 | 0.0678 | 0.0371406 | 74152 |
1 | 723819 | rs11804171 | T | A | -0.0180 | 0.0200 | 0.3599996 | 0.3681203 | 0.0370 | 0.1345850 | 59507 |
1 | 752566 | rs3094315 | G | A | 0.0012 | 0.0077 | 0.8800001 | 0.8761559 | 0.8448 | 0.7182510 | 85984 |
1 | 754192 | rs3131968 | A | G | -0.0110 | 0.0100 | 0.2800000 | 0.2713321 | 0.8750 | 0.6785140 | 66581 |
1 | 768448 | rs12562034 | G | A | -0.0150 | 0.0130 | 0.2599998 | 0.2485632 | 0.0917 | 0.1918930 | 57189 |
1 | 775659 | rs2905035 | A | G | -0.0046 | 0.0083 | 0.5800000 | 0.5794304 | 0.8750 | 0.7450080 | 95290 |
1 | 777122 | rs2980319 | A | T | -0.0063 | 0.0083 | 0.4500005 | 0.4478309 | 0.8750 | 0.7472040 | 95282 |
1 | 779322 | rs4040617 | A | G | 0.0044 | 0.0090 | 0.6200004 | 0.6249204 | 0.1250 | 0.2264380 | 83484 |
1 | 780785 | rs2977612 | T | A | -0.0047 | 0.0091 | 0.6100002 | 0.6055167 | 0.8661 | 0.6693290 | 83550 |
1 | 785050 | rs2905062 | G | A | -0.0059 | 0.0067 | 0.3800004 | 0.3785360 | NA | 0.6269970 | 131220 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
22 | 51217134 | rs117417021 | A | G | 0.0074 | 0.0075 | 0.3200000 | 0.3238061 | 0.4417 | 0.2671730 | 93898 |
22 | 51222100 | rs114553188 | G | T | -0.0063 | 0.0120 | 0.6100002 | 0.5995832 | 0.0667 | 0.0880591 | 120158 |
22 | 51223637 | rs375798137 | G | A | -0.0061 | 0.0120 | 0.6200004 | 0.6112196 | 0.0667 | 0.0788738 | 120156 |
22 | 51229805 | rs9616985 | T | C | 0.0030 | 0.0150 | 0.8400000 | 0.8414806 | 0.0917 | 0.0730831 | 92602 |
23 | 35921591 | rs2204667 | C | G | 0.0100 | 0.0058 | 0.0850002 | 0.0846829 | 0.1667 | NA | 153291 |
23 | 51666786 | rs14115 | A | G | 0.0087 | 0.0096 | 0.3599996 | 0.3648035 | 0.0250 | NA | 139352 |
23 | 70163799 | rs1626496 | A | C | -0.0018 | 0.0084 | 0.8300000 | 0.8303243 | 0.0750 | NA | 153234 |
23 | 74963352 | rs1053838 | T | G | -0.0100 | 0.0580 | 0.8600001 | 0.8631122 | 0.9914 | NA | 63735 |
23 | 91415872 | rs6562597 | G | A | -0.0320 | 0.0160 | 0.0519996 | 0.0455003 | 0.0083 | 0.0021192 | 133971 |
23 | 118495837 | rs12882977 | G | A | -0.0012 | 0.0043 | 0.7800007 | 0.7801913 | 0.5167 | 0.2307280 | 153172 |
1 721290 rs12565286 G C . PASS AF=0.0678 ES:SE:LP:AF:SS:ID -0.013:0.017:0.366532:0.0678:74152:rs12565286
1 723819 rs11804171 T A . PASS AF=0.037 ES:SE:LP:AF:SS:ID -0.018:0.02:0.443698:0.037:59507:rs11804171
1 752566 rs3094315 G A . PASS AF=0.8448 ES:SE:LP:AF:SS:ID 0.0012:0.0077:0.0555173:0.8448:85984:rs3094315
1 754192 rs3131968 A G . PASS AF=0.875 ES:SE:LP:AF:SS:ID -0.011:0.01:0.552842:0.875:66581:rs3131968
1 768448 rs12562034 G A . PASS AF=0.0917 ES:SE:LP:AF:SS:ID -0.015:0.013:0.585027:0.0917:57189:rs12562034
1 775659 rs2905035 A G . PASS AF=0.875 ES:SE:LP:AF:SS:ID -0.0046:0.0083:0.236572:0.875:95290:rs2905035
1 777122 rs2980319 A T . PASS AF=0.875 ES:SE:LP:AF:SS:ID -0.0063:0.0083:0.346787:0.875:95282:rs2980319
1 779322 rs4040617 A G . PASS AF=0.125 ES:SE:LP:AF:SS:ID 0.0044:0.009:0.207608:0.125:83484:rs4040617
1 780785 rs2977612 T A . PASS AF=0.8661 ES:SE:LP:AF:SS:ID -0.0047:0.0091:0.21467:0.8661:83550:rs2977612
1 785050 rs2905062 G A . PASS . ES:SE:LP:SS:ID -0.0059:0.0067:0.420216:131220:rs2905062
1 785989 rs2980300 T C . PASS AF=0.8729 ES:SE:LP:AF:SS:ID -0.0032:0.009:0.142668:0.8729:83490:rs2980300
1 798026 rs4951864 C T . PASS AF=0.9 ES:SE:LP:AF:SS:ID 0.01:0.016:0.29243:0.9:50064:rs4951864
1 798959 rs11240777 G A . PASS AF=0.1667 ES:SE:LP:AF:SS:ID 0.0034:0.0094:0.142668:0.1667:74828:rs11240777
1 962210 rs3128126 A G . PASS AF=0.425 ES:SE:LP:AF:SS:ID -0.0087:0.009:0.481486:0.425:64653:rs3128126
1 990380 rs3121561 C T . PASS AF=0.2667 ES:SE:LP:AF:SS:ID -0.0067:0.0075:0.431798:0.2667:108819:rs3121561
1 998501 rs3813193 G C . PASS AF=0.15 ES:SE:LP:AF:SS:ID -0.0066:0.0076:0.408935:0.15:101238:rs3813193
1 1003629 rs4075116 C T . PASS AF=0.7373 ES:SE:LP:AF:SS:ID -0.0008:0.0055:0.0555173:0.7373:147644:rs4075116
1 1005806 rs3934834 C T . PASS AF=0.1167 ES:SE:LP:AF:SS:ID -0.0078:0.0071:0.568636:0.1167:110907:rs3934834
1 1017170 rs3766193 C G . PASS AF=0.5667 ES:SE:LP:AF:SS:ID 0.0045:0.005:0.431798:0.5667:149015:rs3766193
1 1017197 rs3766192 C T . PASS AF=0.5763 ES:SE:LP:AF:SS:ID 0.0052:0.0048:0.552842:0.5763:148279:rs3766192
1 1017587 rs3766191 C T . PASS AF=0.0965 ES:SE:LP:AF:SS:ID -0.0084:0.0073:0.60206:0.0965:111629:rs3766191
1 1018562 rs9442371 C T . PASS AF=0.5917 ES:SE:LP:AF:SS:ID 0.0043:0.0047:0.443698:0.5917:149773:rs9442371
1 1018704 rs9442372 A G . PASS AF=0.6017 ES:SE:LP:AF:SS:ID 0.0042:0.0048:0.420216:0.6017:148391:rs9442372
1 1021346 rs10907177 A G . PASS AF=0.1271 ES:SE:LP:AF:SS:ID -0.0069:0.0073:0.468521:0.1271:111497:rs10907177
1 1021415 rs3737728 A G . PASS AF=0.7167 ES:SE:LP:AF:SS:ID 0.0012:0.0052:0.0861861:0.7167:148149:rs3737728
1 1021583 rs10907178 A C . PASS . ES:SE:LP:SS:ID -0.0078:0.0074:0.537602:109388:rs10907178
1 1021695 rs9442398 A G . PASS AF=0.725 ES:SE:LP:AF:SS:ID 0.0014:0.0053:0.102373:0.725:148717:rs9442398
1 1022037 rs6701114 C T . PASS AF=0.5667 ES:SE:LP:AF:SS:ID 0.0028:0.0052:0.229148:0.5667:137569:rs6701114
1 1025301 rs9442400 T C . PASS AF=0.9474 ES:SE:LP:AF:SS:ID -0.0034:0.02:0.0604807:0.9474:51513:rs9442400
1 1026707 rs4074137 C A . PASS AF=0.6 ES:SE:LP:AF:SS:ID -0.0002:0.0056:0.0132283:0.6:111322:rs4074137
1 1030565 rs6687776 C T . PASS AF=0.0833 ES:SE:LP:AF:SS:ID 0.0096:0.0067:0.823909:0.0833:112085:rs6687776
1 1030633 rs6678318 G A . PASS AF=0.0862 ES:SE:LP:AF:SS:ID 0.0099:0.0073:0.769551:0.0862:105023:rs6678318
1 1031540 rs9651273 A G . PASS AF=0.6583 ES:SE:LP:AF:SS:ID 0.0048:0.0057:0.39794:0.6583:113686:rs9651273
1 1036959 rs11579015 T C . PASS AF=0.05 ES:SE:LP:AF:SS:ID 0.0078:0.008:0.481486:0.05:130916:rs11579015
1 1040026 rs6671356 T C . PASS AF=0.075 ES:SE:LP:AF:SS:ID 0.012:0.0073:1:0.075:120981:rs6671356
1 1046164 rs6666280 C T . PASS AF=0.0667 ES:SE:LP:AF:SS:ID 0.014:0.0075:1.25964:0.0667:128632:rs6666280
1 1048955 rs4970405 A G . PASS AF=0.0517 ES:SE:LP:AF:SS:ID 0.0049:0.0081:0.259637:0.0517:127358:rs4970405
1 1049950 rs12726255 A G . PASS AF=0.0667 ES:SE:LP:AF:SS:ID 0.013:0.0074:1.11351:0.0667:127682:rs12726255
1 1053452 rs4970409 G A . PASS AF=0.05 ES:SE:LP:AF:SS:ID 0.011:0.0084:0.769551:0.05:130065:rs4970409
1 1060174 rs7548798 C T . PASS AF=0.3981 ES:SE:LP:AF:SS:ID -0.0022:0.0071:0.119186:0.3981:87881:rs7548798
1 1060235 rs7540009 G A . PASS AF=0.0167 ES:SE:LP:AF:SS:ID 0.014:0.015:0.455932:0.0167:106189:rs7540009
1 1060608 rs17160824 G A . PASS AF=0.0583 ES:SE:LP:AF:SS:ID 0.0093:0.0084:0.568636:0.0583:132188:rs17160824
1 1061115 rs17160826 T C . PASS AF=0.0546 ES:SE:LP:AF:SS:ID 0.012:0.0084:0.823909:0.0546:132201:rs17160826
1 1061152 rs12748370 T C . PASS . ES:SE:LP:SS:ID 0.013:0.0085:0.886057:129997:rs12748370
1 1061166 rs11807848 T C . PASS AF=0.4123 ES:SE:LP:AF:SS:ID 0.0029:0.0057:0.21467:0.4123:113222:rs11807848
1 1062015 rs9659914 C T . PASS AF=0.0167 ES:SE:LP:AF:SS:ID 0.021:0.017:0.657577:0.0167:95835:rs9659914
1 1062638 rs9442373 C A . PASS AF=0.5517 ES:SE:LP:AF:SS:ID -0.0054:0.0057:0.468521:0.5517:111069:rs9442373
1 1064535 rs6682475 G C . PASS AF=0.7542 ES:SE:LP:AF:SS:ID -0.018:0.0082:1.5376:0.7542:91246:rs6682475
1 1064979 rs2298217 C T . PASS AF=0.0833 ES:SE:LP:AF:SS:ID 0.015:0.0076:1.30103:0.0833:100344:rs2298217
1 1066403 rs10907182 T C . PASS AF=0.675 ES:SE:LP:AF:SS:ID -0.0098:0.0059:1.01323:0.675:111918:rs10907182