Summary

Summary {data-width=650}

Manhattan plot

manhattan_plot

manhattan_plot

QQ plot

qq_plot

qq_plot

AF plot

af_plot

af_plot

P-Z plot

pz_plot

pz_plot

beta_std plot

beta_std_plot

beta_std_plot

Metadata

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}

LDSC

*********************************************************************
* 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-1097/ieu-a-1097.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-1097/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 18:45:40 2020
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ieu-a-import/processed/ieu-a-1097/ieu-a-1097.vcf.gz ...
Read summary statistics for 2189106 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, 1068054 SNPs remain.
After merging with regression SNP LD, 1068054 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.0151 (0.0079)
Lambda GC: 1.0219
Mean Chi^2: 1.0227
Intercept: 1.0062 (0.0066)
Ratio: 0.2747 (0.2924)
Analysis finished at Tue Feb  4 18:46:10 2020
Total time elapsed: 30.34s

QC metrics

Metrics

Metrics

{
    "af_correlation": 0.901,
    "inflation_factor": 1.0475,
    "mean_EFFECT": 0.0011,
    "n": 54117,
    "n_snps": 2189106,
    "n_clumped_hits": 1,
    "n_p_sig": 4,
    "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": 667,
    "n_miss_AF_reference": 18494,
    "n_est": 51432.8921,
    "ratio_se_n": 0.9749,
    "mean_diff": -0.0008,
    "ratio_diff": 39.3609,
    "sd_y_est1": 3.5226,
    "sd_y_est2": 3.4341,
    "r2_sum1": 0.0088,
    "r2_sum2": 0.0007,
    "r2_sum3": 0.0007,
    "r2_sum4": 0.0008,
    "ldsc_nsnp_merge_refpanel_ld": 1068054,
    "ldsc_nsnp_merge_regression_ld": 1068054,
    "ldsc_observed_scale_h2_beta": 0.0151,
    "ldsc_observed_scale_h2_se": 0.0079,
    "ldsc_intercept_beta": 1.0062,
    "ldsc_intercept_se": 0.0066,
    "ldsc_lambda_gc": 1.0219,
    "ldsc_mean_chisq": 1.0227,
    "ldsc_ratio": 0.2731
}

Flags

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

Definitions

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 SNPs
  • n_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:
    • alleles other than A, C, G or T.
    • P-values < 0 or > 1.
    • negative or infinite standard errors (<= 0 or = Infinity).
    • infinite beta estimates or allele frequencies < 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.
    • \(\widehat{\beta_j^{std}} = \sqrt{\frac{{z}_j^2 / ({z}_j^2 + n -2)}{2 \times {MAF}_j \times (1 - {MAF}_j)}} \times sign({z}_j)\),
    • \({z}_j = \frac{\beta_j}{{se}_j}\),
    • and \(\beta_j\) is the reported effect size.
  • 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.
    • \(\texttt{mean_diff2} = \sum_{j} \frac{\widehat{\beta_j^{std}} - \beta^{\prime}_j}{\texttt{n_snps}}\)
    • \(\beta^{\prime}_j = \frac{\beta_j}{\widehat{\texttt{sd2}}_{y}}\)
  • 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.
    • \(\widehat{\texttt{sd1}}_{y} = \frac{\sqrt{n} \times median({se}_j)}{C}\),
    • \(C = median(\frac{1}{\sqrt{2 \times {MAF}_j \times (1 - {MAF}_j)}})\),
    • and \({se}_j\) is the reported standard error.
  • 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.
    • \(\widehat{\texttt{sd2}}_{y} = median(\widehat{sd_j})\),
    • \(\widehat{sd_j} = \frac{\beta_j}{\widehat{\beta_j^{std}}}\),

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 > 0.5
  • ldsc_intercept_beta: ldsc_intercept_beta > 1.5
  • n_clumped_hits: n_clumped_hits > 1000
  • r2_sum<*>: r2_sum<*> > 0.5

Plots

  • Manhattan plot
    • Red line: \(-log_{10}^{5 \times 10^{-8}}\)
    • Blue line: \(-log_{10}^{5 \times 10^{-5}}\)
  • QQ plot
  • AF plot
  • P-Z plot
  • beta_std plot: Scatter plot between \(\widehat{\beta_j^{std}}\) and \(\beta_j\)

Diagnostics

Details

Summary stats

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 2189106 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 8.601266e+00 5.664296e+00 1.0000e+00 4.000000e+00 8.000000e+00 1.200000e+01 2.300000e+01 ▇▅▅▂▂
numeric POS 0 1.0000000 NA NA NA NA NA 7.872410e+07 5.573647e+07 1.1523e+04 3.243768e+07 7.008198e+07 1.143619e+08 2.491808e+08 ▇▆▅▂▁
numeric EFFECT 0 1.0000000 NA NA NA NA NA 1.130600e-03 2.997200e-02 -6.0000e-01 -1.700000e-02 8.000000e-04 1.900000e-02 6.600000e-01 ▁▁▇▁▁
numeric SE 0 1.0000000 NA NA NA NA NA 2.818870e-02 9.332200e-03 2.0000e-02 2.200000e-02 2.500000e-02 3.200000e-02 5.500000e-01 ▇▁▁▁▁
numeric PVAL 0 1.0000000 NA NA NA NA NA 4.965725e-01 2.894816e-01 0.0000e+00 2.399999e-01 4.899999e-01 7.499995e-01 1.000000e+00 ▇▇▇▇▇
numeric PVAL_ztest 0 1.0000000 NA NA NA NA NA 4.965821e-01 2.895136e-01 0.0000e+00 2.451696e-01 4.953539e-01 7.469018e-01 1.000000e+00 ▇▇▇▇▇
numeric AF 667 0.9996953 NA NA NA NA NA 3.809774e-01 2.563922e-01 4.0000e-03 1.590000e-01 3.250000e-01 5.740000e-01 9.960000e-01 ▇▆▅▃▂
numeric AF_reference 18494 0.9915518 NA NA NA NA NA 3.807007e-01 2.426620e-01 1.9970e-04 1.773160e-01 3.294730e-01 5.593050e-01 1.000000e+00 ▇▇▅▃▂
numeric N 0 1.0000000 NA NA NA NA NA 5.296598e+04 3.244800e+03 1.3023e+04 5.317500e+04 5.411400e+04 5.411600e+04 5.411700e+04 ▁▁▁▁▇

Head and tail

CHROM POS ID REF ALT EFFECT SE PVAL PVAL_ztest AF AF_reference N
1 723819 rs11804171 T A -0.0170 0.075 0.8200001 0.8206829 0.034 0.1345850 33681
1 723891 rs2977670 G C -0.0009 0.061 0.9900000 0.9882284 0.934 0.7799520 30474
1 752566 rs3094315 G A 0.0480 0.032 0.1400000 0.1336144 0.835 0.7182510 43757
1 754192 rs3131968 A G 0.0880 0.038 0.0210000 0.0205698 0.885 0.6785140 42894
1 765948 rs2519016 C T 0.0047 0.370 0.9900000 0.9898650 0.950 NA 23918
1 768448 rs12562034 G A 0.1900 0.083 0.0230001 0.0220703 0.102 0.1918930 34752
1 775659 rs2905035 A G 0.0780 0.035 0.0259998 0.0258424 0.885 0.7450080 50973
1 776546 rs12124819 A G 0.0710 0.053 0.1800002 0.1803681 0.288 0.0756789 50514
1 777122 rs2980319 A T 0.0820 0.032 0.0109999 0.0103922 0.866 0.7472040 54116
1 779322 rs4040617 A G -0.0830 0.038 0.0309999 0.0289468 0.133 0.2264380 41683
CHROM POS ID REF ALT EFFECT SE PVAL PVAL_ztest AF AF_reference N
22 51212875 rs2238837 A C 0.0110 0.029 0.6999999 0.7044574 0.385 0.3724040 40059
22 51216564 rs9616970 T C 0.1100 0.044 0.0097000 0.0124193 0.146 0.1563500 38261
22 51217134 rs117417021 A G 0.0390 0.034 0.2500000 0.2513573 0.415 0.2671730 34660
22 51222100 rs114553188 G T 0.1100 0.064 0.0929994 0.0856599 0.062 0.0880591 35073
22 51223637 rs375798137 G A 0.1100 0.063 0.0769999 0.0808054 0.062 0.0788738 36058
22 51229805 rs9616985 T C 0.0270 0.065 0.6800001 0.6778604 0.092 0.0730831 38081
23 35921591 rs2204667 C G 0.0470 0.028 0.0980009 0.0932356 0.162 NA 54107
23 51666786 rs14115 A G 0.0083 0.048 0.8600001 0.8627169 0.027 NA 42331
23 70163799 rs1626496 A C 0.0360 0.040 0.3599996 0.3681203 0.069 NA 54116
23 118495837 rs12882977 G A 0.0092 0.022 0.6700003 0.6758142 0.508 0.2307280 51913

bcf preview

1   723819  rs11804171  T   A   .   PASS    AF=0.034    ES:SE:LP:AF:SS:ID   -0.017:0.075:0.0861861:0.034:33681:rs11804171
1   723891  rs2977670   G   C   .   PASS    AF=0.934    ES:SE:LP:AF:SS:ID   -0.0009:0.061:0.00436481:0.934:30474:rs2977670
1   752566  rs3094315   G   A   .   PASS    AF=0.835    ES:SE:LP:AF:SS:ID   0.048:0.032:0.853872:0.835:43757:rs3094315
1   754192  rs3131968   A   G   .   PASS    AF=0.885    ES:SE:LP:AF:SS:ID   0.088:0.038:1.67778:0.885:42894:rs3131968
1   765948  rs2519016   C   T   .   PASS    AF=0.95 ES:SE:LP:AF:SS:ID   0.0047:0.37:0.00436481:0.95:23918:rs2519016
1   768448  rs12562034  G   A   .   PASS    AF=0.102    ES:SE:LP:AF:SS:ID   0.19:0.083:1.63827:0.102:34752:rs12562034
1   775659  rs2905035   A   G   .   PASS    AF=0.885    ES:SE:LP:AF:SS:ID   0.078:0.035:1.58503:0.885:50973:rs2905035
1   776546  rs12124819  A   G   .   PASS    AF=0.288    ES:SE:LP:AF:SS:ID   0.071:0.053:0.744727:0.288:50514:rs12124819
1   777122  rs2980319   A   T   .   PASS    AF=0.866    ES:SE:LP:AF:SS:ID   0.082:0.032:1.95861:0.866:54116:rs2980319
1   779322  rs4040617   A   G   .   PASS    AF=0.133    ES:SE:LP:AF:SS:ID   -0.083:0.038:1.50864:0.133:41683:rs4040617
1   780785  rs2977612   T   A   .   PASS    AF=0.877    ES:SE:LP:AF:SS:ID   0.087:0.038:1.63827:0.877:42888:rs2977612
1   785050  rs2905062   G   A   .   PASS    AF=0.868    ES:SE:LP:AF:SS:ID   0.086:0.038:1.63827:0.868:43828:rs2905062
1   785989  rs2980300   T   C   .   PASS    AF=0.868    ES:SE:LP:AF:SS:ID   0.071:0.034:1.48149:0.868:45926:rs2980300
1   798026  rs4951864   C   T   .   PASS    AF=0.9  ES:SE:LP:AF:SS:ID   -0.15:0.077:1.33724:0.9:34753:rs4951864
1   798801  rs12132517  G   A   .   PASS    AF=0.108    ES:SE:LP:AF:SS:ID   0.15:0.077:1.3098:0.108:33813:rs12132517
1   798959  rs11240777  G   A   .   PASS    AF=0.219    ES:SE:LP:AF:SS:ID   -0.033:0.034:0.49485:0.219:52717:rs11240777
1   846864  rs950122    G   C   .   PASS    AF=0.138    ES:SE:LP:AF:SS:ID   -0.028:0.073:0.154902:0.138:41094:rs950122
1   882033  rs2272756   G   A   .   PASS    AF=0.23 ES:SE:LP:AF:SS:ID   -0.0022:0.046:0.0177288:0.23:48337:rs2272756
1   962210  rs3128126   A   G   .   PASS    AF=0.415    ES:SE:LP:AF:SS:ID   -0.058:0.043:0.769551:0.415:50514:rs3128126
1   990380  rs3121561   C   T   .   PASS    AF=0.254    ES:SE:LP:AF:SS:ID   -0.023:0.039:0.259637:0.254:49554:rs3121561
1   998501  rs3813193   G   C   .   PASS    AF=0.146    ES:SE:LP:AF:SS:ID   -0.0069:0.052:0.0457575:0.146:48337:rs3813193
1   1003629 rs4075116   C   T   .   PASS    AF=0.734    ES:SE:LP:AF:SS:ID   0.043:0.025:1.04576:0.734:51930:rs4075116
1   1005806 rs3934834   C   T   .   PASS    AF=0.124    ES:SE:LP:AF:SS:ID   -0.016:0.042:0.154902:0.124:50540:rs3934834
1   1017170 rs3766193   C   G   .   PASS    AF=0.587    ES:SE:LP:AF:SS:ID   0.024:0.024:0.49485:0.587:54116:rs3766193
1   1017197 rs3766192   C   T   .   PASS    AF=0.571    ES:SE:LP:AF:SS:ID   0.026:0.024:0.585027:0.571:54115:rs3766192
1   1017587 rs3766191   C   T   .   PASS    AF=0.124    ES:SE:LP:AF:SS:ID   -0.018:0.042:0.173925:0.124:50539:rs3766191
1   1018562 rs9442371   C   T   .   PASS    AF=0.608    ES:SE:LP:AF:SS:ID   0.026:0.023:0.585027:0.608:54116:rs9442371
1   1018704 rs9442372   A   G   .   PASS    AF=0.588    ES:SE:LP:AF:SS:ID   0.025:0.023:0.568636:0.588:54113:rs9442372
1   1021346 rs10907177  A   G   .   PASS    AF=0.137    ES:SE:LP:AF:SS:ID   -0.018:0.042:0.173925:0.137:50540:rs10907177
1   1021415 rs3737728   A   G   .   PASS    AF=0.735    ES:SE:LP:AF:SS:ID   0.038:0.027:0.823909:0.735:54116:rs3737728
1   1021583 rs10907178  A   C   .   PASS    AF=0.112    ES:SE:LP:AF:SS:ID   -0.011:0.044:0.091515:0.112:48337:rs10907178
1   1021695 rs9442398   A   G   .   PASS    AF=0.726    ES:SE:LP:AF:SS:ID   0.033:0.027:0.657577:0.726:51937:rs9442398
1   1022037 rs6701114   C   T   .   PASS    AF=0.585    ES:SE:LP:AF:SS:ID   0.03:0.026:0.619789:0.585:52718:rs6701114
1   1025301 rs9442400   T   C   .   PASS    AF=0.952    ES:SE:LP:AF:SS:ID   0.014:0.12:0.0457575:0.952:29375:rs9442400
1   1026707 rs4074137   C   A   .   PASS    AF=0.623    ES:SE:LP:AF:SS:ID   0.049:0.035:0.79588:0.623:50515:rs4074137
1   1030565 rs6687776   C   T   .   PASS    AF=0.133    ES:SE:LP:AF:SS:ID   -0.037:0.038:0.481486:0.133:50540:rs6687776
1   1030633 rs6678318   G   A   .   PASS    AF=0.134    ES:SE:LP:AF:SS:ID   -0.049:0.042:0.619789:0.134:42714:rs6678318
1   1031540 rs9651273   A   G   .   PASS    AF=0.717    ES:SE:LP:AF:SS:ID   0.018:0.033:0.229148:0.717:51733:rs9651273
1   1036959 rs11579015  T   C   .   PASS    AF=0.046    ES:SE:LP:AF:SS:ID   -0.049:0.042:0.619789:0.046:50540:rs11579015
1   1040026 rs6671356   T   C   .   PASS    AF=0.115    ES:SE:LP:AF:SS:ID   -0.044:0.039:0.585027:0.115:50540:rs6671356
1   1046164 rs6666280   C   T   .   PASS    AF=0.062    ES:SE:LP:AF:SS:ID   -0.06:0.045:0.744727:0.062:50539:rs6666280
1   1048955 rs4970405   A   G   .   PASS    AF=0.088    ES:SE:LP:AF:SS:ID   -0.035:0.042:0.387216:0.088:50540:rs4970405
1   1049950 rs12726255  A   G   .   PASS    AF=0.115    ES:SE:LP:AF:SS:ID   -0.06:0.044:0.769551:0.115:50540:rs12726255
1   1053452 rs4970409   G   A   .   PASS    AF=0.093    ES:SE:LP:AF:SS:ID   -0.066:0.049:0.744727:0.093:49600:rs4970409
1   1060174 rs7548798   C   T   .   PASS    AF=0.314    ES:SE:LP:AF:SS:ID   -0.016:0.044:0.142668:0.314:40424:rs7548798
1   1060608 rs17160824  G   A   .   PASS    AF=0.097    ES:SE:LP:AF:SS:ID   -0.06:0.048:0.677781:0.097:50540:rs17160824
1   1061115 rs17160826  T   C   .   PASS    AF=0.051    ES:SE:LP:AF:SS:ID   -0.066:0.049:0.744727:0.051:50540:rs17160826
1   1061152 rs12748370  T   C   .   PASS    AF=0.055    ES:SE:LP:AF:SS:ID   -0.075:0.051:0.853872:0.055:49600:rs12748370
1   1061166 rs11807848  T   C   .   PASS    AF=0.389    ES:SE:LP:AF:SS:ID   -0.043:0.034:0.677781:0.389:52718:rs11807848
1   1062638 rs9442373   C   A   .   PASS    AF=0.575    ES:SE:LP:AF:SS:ID   0.026:0.034:0.366532:0.575:52718:rs9442373