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-1065/ieu-a-1065.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-1065/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 10:47:10 2020
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ieu-a-import/processed/ieu-a-1065/ieu-a-1065.vcf.gz ...
Read summary statistics for 2399807 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, 1141285 SNPs remain.
After merging with regression SNP LD, 1141285 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: -0.1138 (0.1723)
Lambda GC: 0.9817
Mean Chi^2: 0.9858
Intercept: 0.9918 (0.0065)
Ratio: NA (mean chi^2 < 1)
Analysis finished at Tue Feb  4 10:47:42 2020
Total time elapsed: 31.36s

QC metrics

Metrics

Metrics

{
    "af_correlation": 0.9207,
    "inflation_factor": 0.9824,
    "mean_EFFECT": -0.0001,
    "n": 2645,
    "n_snps": 2399807,
    "n_clumped_hits": 0,
    "n_p_sig": 0,
    "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": 20188,
    "n_est": 2561.2608,
    "ratio_se_n": 0.984,
    "mean_diff": 0,
    "ratio_diff": 1.0045,
    "sd_y_est1": 1.0179,
    "sd_y_est2": 1.0016,
    "r2_sum1": 0,
    "r2_sum2": 0,
    "r2_sum3": 0,
    "r2_sum4": 0,
    "ldsc_nsnp_merge_refpanel_ld": 1141285,
    "ldsc_nsnp_merge_regression_ld": 1141285,
    "ldsc_observed_scale_h2_beta": "NA",
    "ldsc_observed_scale_h2_se": "NA",
    "ldsc_intercept_beta": 0.9918,
    "ldsc_intercept_se": 0.0065,
    "ldsc_lambda_gc": 0.9817,
    "ldsc_mean_chisq": 0.9858,
    "ldsc_ratio": 0.5775
}

Flags

name value
af_correlation FALSE
inflation_factor FALSE
n TRUE
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 TRUE
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 2399807 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 8.595156e+00 5.661989e+00 1.0000e+00 4.000000e+00 8.000000e+00 1.200000e+01 2.30000e+01 ▇▅▅▂▂
numeric POS 0 1.0000000 NA NA NA NA NA 7.877922e+07 5.567137e+07 1.1523e+04 3.263012e+07 7.015307e+07 1.142824e+08 2.49219e+08 ▇▆▅▂▁
numeric EFFECT 0 1.0000000 NA NA NA NA NA -1.375000e-04 4.802350e-02 -3.3870e+00 -2.490000e-02 -1.000000e-04 2.450000e-02 2.16500e+00 ▁▁▁▇▁
numeric SE 0 1.0000000 NA NA NA NA NA 4.194210e-02 2.408480e-02 2.6300e-02 2.890000e-02 3.380000e-02 4.530000e-02 9.88100e-01 ▇▁▁▁▁
numeric PVAL 0 1.0000000 NA NA NA NA NA 5.029465e-01 2.885811e-01 7.0000e-07 2.534002e-01 5.037998e-01 7.536002e-01 1.00000e+00 ▇▇▇▇▇
numeric PVAL_ztest 0 1.0000000 NA NA NA NA NA 5.029467e-01 2.885821e-01 7.0000e-07 2.533333e-01 5.036794e-01 7.536208e-01 1.00000e+00 ▇▇▇▇▇
numeric AF 0 1.0000000 NA NA NA NA NA 3.633291e-01 2.711903e-01 1.0060e-02 1.285000e-01 2.999000e-01 5.624500e-01 9.89940e-01 ▇▅▃▃▂
numeric AF_reference 20188 0.9915877 NA NA NA NA NA 3.650602e-01 2.532621e-01 1.9970e-04 1.523560e-01 3.051120e-01 5.485220e-01 1.00000e+00 ▇▆▅▃▂
numeric N 0 1.0000000 NA NA NA NA NA 2.645000e+03 0.000000e+00 2.6450e+03 2.645000e+03 2.645000e+03 2.645000e+03 2.64500e+03 ▁▁▇▁▁

Head and tail

CHROM POS ID REF ALT EFFECT SE PVAL PVAL_ztest AF AF_reference N
1 721290 rs12565286 G C -0.2304 0.1170 0.0490004 0.0489266 0.03048 0.0371406 2645
1 723819 rs11804171 T A -0.2363 0.1162 0.0419199 0.0419957 0.03048 0.1345850 2645
1 723891 rs2977670 G C 0.2304 0.1146 0.0443905 0.0443813 0.96924 0.7799520 2645
1 750235 rs12138618 G A -0.1229 0.0819 0.1333000 0.1334563 0.08166 NA 2645
1 752566 rs3094315 G A -0.0897 0.0547 0.1012999 0.1010356 0.79180 0.7182510 2645
1 754192 rs3131968 A G -0.1293 0.0575 0.0243899 0.0245319 0.81280 0.6785140 2645
1 768448 rs12562034 G A -0.0243 0.0629 0.6989997 0.6992541 0.11050 0.1918930 2645
1 775659 rs2905035 A G -0.1388 0.0578 0.0164502 0.0163332 0.81280 0.7450080 2645
1 777122 rs2980319 A T -0.1315 0.0579 0.0232001 0.0231375 0.81280 0.7472040 2645
1 779322 rs4040617 A G 0.1315 0.0579 0.0232001 0.0231375 0.18720 0.2264380 2645
CHROM POS ID REF ALT EFFECT SE PVAL PVAL_ztest AF AF_reference N
22 51212875 rs2238837 A C 0.0086 0.0420 0.8372000 0.8377582 0.40970 0.3724040 2645
22 51216564 rs9616970 T C 0.0187 0.0462 0.6856998 0.6856525 0.13400 0.1563500 2645
22 51217134 rs117417021 A G 0.0086 0.0418 0.8363000 0.8369927 0.48450 0.2671730 2645
22 51222100 rs114553188 G T 0.0187 0.0644 0.7718999 0.7715311 0.07936 0.0880591 2645
22 51223637 rs375798137 G A 0.0187 0.0644 0.7718999 0.7715311 0.07936 0.0788738 2645
22 51229805 rs9616985 T C 0.0051 0.0607 0.9331000 0.9330407 0.05405 0.0730831 2645
23 35921591 rs2204667 C G 0.0206 0.0362 0.5699005 0.5693149 0.15410 NA 2645
23 51666786 rs14115 A G 0.0044 0.0687 0.9488001 0.9489331 0.06200 NA 2645
23 70163799 rs1626496 A C -0.0671 0.0530 0.2057998 0.2054996 0.03939 NA 2645
23 118495837 rs12882977 G A -0.0021 0.0278 0.9392000 0.9397854 0.42180 0.2307280 2645

bcf preview

1   721290  rs12565286  G   C   .   PASS    AF=0.03048  ES:SE:LP:AF:SS:ID   -0.2304:0.117:1.3098:0.03048:2645:rs12565286
1   723819  rs11804171  T   A   .   PASS    AF=0.03048  ES:SE:LP:AF:SS:ID   -0.2363:0.1162:1.37758:0.03048:2645:rs11804171
1   723891  rs2977670   G   C   .   PASS    AF=0.96924  ES:SE:LP:AF:SS:ID   0.2304:0.1146:1.35271:0.96924:2645:rs2977670
1   750235  rs12138618  G   A   .   PASS    AF=0.08166  ES:SE:LP:AF:SS:ID   -0.1229:0.0819:0.87517:0.08166:2645:rs12138618
1   752566  rs3094315   G   A   .   PASS    AF=0.7918   ES:SE:LP:AF:SS:ID   -0.0897:0.0547:0.994391:0.7918:2645:rs3094315
1   754192  rs3131968   A   G   .   PASS    AF=0.8128   ES:SE:LP:AF:SS:ID   -0.1293:0.0575:1.61279:0.8128:2645:rs3131968
1   768448  rs12562034  G   A   .   PASS    AF=0.1105   ES:SE:LP:AF:SS:ID   -0.0243:0.0629:0.155523:0.1105:2645:rs12562034
1   775659  rs2905035   A   G   .   PASS    AF=0.8128   ES:SE:LP:AF:SS:ID   -0.1388:0.0578:1.78383:0.8128:2645:rs2905035
1   777122  rs2980319   A   T   .   PASS    AF=0.8128   ES:SE:LP:AF:SS:ID   -0.1315:0.0579:1.63451:0.8128:2645:rs2980319
1   779322  rs4040617   A   G   .   PASS    AF=0.1872   ES:SE:LP:AF:SS:ID   0.1315:0.0579:1.63451:0.1872:2645:rs4040617
1   780785  rs2977612   T   A   .   PASS    AF=0.8128   ES:SE:LP:AF:SS:ID   -0.1315:0.0579:1.63451:0.8128:2645:rs2977612
1   785050  rs2905062   G   A   .   PASS    AF=0.8131   ES:SE:LP:AF:SS:ID   -0.1315:0.0579:1.63451:0.8131:2645:rs2905062
1   798026  rs4951864   C   T   .   PASS    AF=0.8899   ES:SE:LP:AF:SS:ID   0.0195:0.0659:0.115091:0.8899:2645:rs4951864
1   798801  rs12132517  G   A   .   PASS    AF=0.1104   ES:SE:LP:AF:SS:ID   -0.0279:0.0656:0.173472:0.1104:2645:rs12132517
1   798959  rs11240777  G   A   .   PASS    AF=0.2142   ES:SE:LP:AF:SS:ID   0.0626:0.0544:0.602755:0.2142:2645:rs11240777
1   962210  rs3128126   A   G   .   PASS    AF=0.4612   ES:SE:LP:AF:SS:ID   0.0055:0.0434:0.0465786:0.4612:2645:rs3128126
1   990380  rs3121561   C   T   .   PASS    AF=0.2895   ES:SE:LP:AF:SS:ID   0.0744:0.0482:0.911155:0.2895:2645:rs3121561
1   998501  rs3813193   G   C   .   PASS    AF=0.2294   ES:SE:LP:AF:SS:ID   0.0075:0.0396:0.0708877:0.2294:2645:rs3813193
1   1003629 rs4075116   C   T   .   PASS    AF=0.7401   ES:SE:LP:AF:SS:ID   -0.0044:0.0313:0.0516849:0.7401:2645:rs4075116
1   1005806 rs3934834   C   T   .   PASS    AF=0.2293   ES:SE:LP:AF:SS:ID   0.0083:0.0397:0.0785737:0.2293:2645:rs3934834
1   1017170 rs3766193   C   G   .   PASS    AF=0.5155   ES:SE:LP:AF:SS:ID   -0.0368:0.0388:0.46382:0.5155:2645:rs3766193
1   1017197 rs3766192   C   T   .   PASS    AF=0.5106   ES:SE:LP:AF:SS:ID   -0.0382:0.0384:0.494714:0.5106:2645:rs3766192
1   1017587 rs3766191   C   T   .   PASS    AF=0.2174   ES:SE:LP:AF:SS:ID   0.0175:0.0418:0.170503:0.2174:2645:rs3766191
1   1018562 rs9442371   C   T   .   PASS    AF=0.5106   ES:SE:LP:AF:SS:ID   -0.0162:0.0283:0.246723:0.5106:2645:rs9442371
1   1018704 rs9442372   A   G   .   PASS    AF=0.5104   ES:SE:LP:AF:SS:ID   -0.0162:0.0283:0.246723:0.5104:2645:rs9442372
1   1021346 rs10907177  A   G   .   PASS    AF=0.2168   ES:SE:LP:AF:SS:ID   0.0153:0.0414:0.147764:0.2168:2645:rs10907177
1   1021415 rs3737728   A   G   .   PASS    AF=0.7174   ES:SE:LP:AF:SS:ID   -0.0006:0.031:0.00621119:0.7174:2645:rs3737728
1   1021583 rs10907178  A   C   .   PASS    AF=0.2168   ES:SE:LP:AF:SS:ID   0.0153:0.0414:0.147764:0.2168:2645:rs10907178
1   1021695 rs9442398   A   G   .   PASS    AF=0.7424   ES:SE:LP:AF:SS:ID   0.0022:0.0311:0.025166:0.7424:2645:rs9442398
1   1022037 rs6701114   C   T   .   PASS    AF=0.4994   ES:SE:LP:AF:SS:ID   -0.0139:0.028:0.208309:0.4994:2645:rs6701114
1   1025301 rs9442400   T   C   .   PASS    AF=0.98189  ES:SE:LP:AF:SS:ID   -0.1194:0.1503:0.369572:0.98189:2645:rs9442400
1   1026707 rs4074137   C   A   .   PASS    AF=0.6052   ES:SE:LP:AF:SS:ID   -0.0054:0.0283:0.0716554:0.6052:2645:rs4074137
1   1030565 rs6687776   C   T   .   PASS    AF=0.1886   ES:SE:LP:AF:SS:ID   -0.0171:0.0379:0.185686:0.1886:2645:rs6687776
1   1030633 rs6678318   G   A   .   PASS    AF=0.1857   ES:SE:LP:AF:SS:ID   -0.0171:0.0379:0.185686:0.1857:2645:rs6678318
1   1031540 rs9651273   A   G   .   PASS    AF=0.7296   ES:SE:LP:AF:SS:ID   -0.0227:0.0315:0.326426:0.7296:2645:rs9651273
1   1036959 rs11579015  T   C   .   PASS    AF=0.0529   ES:SE:LP:AF:SS:ID   -0.0363:0.0455:0.370692:0.0529:2645:rs11579015
1   1040026 rs6671356   T   C   .   PASS    AF=0.09919  ES:SE:LP:AF:SS:ID   -0.0266:0.0406:0.290052:0.09919:2645:rs6671356
1   1046164 rs6666280   C   T   .   PASS    AF=0.09919  ES:SE:LP:AF:SS:ID   -0.0274:0.0402:0.304869:0.09919:2645:rs6666280
1   1048955 rs4970405   A   G   .   PASS    AF=0.05322  ES:SE:LP:AF:SS:ID   -0.028:0.0452:0.270673:0.05322:2645:rs4970405
1   1049950 rs12726255  A   G   .   PASS    AF=0.1112   ES:SE:LP:AF:SS:ID   -0.0325:0.0401:0.378824:0.1112:2645:rs12726255
1   1053452 rs4970409   G   A   .   PASS    AF=0.06613  ES:SE:LP:AF:SS:ID   -0.0312:0.0449:0.312739:0.06613:2645:rs4970409
1   1060174 rs7548798   C   T   .   PASS    AF=0.3258   ES:SE:LP:AF:SS:ID   0.0247:0.0298:0.39126:0.3258:2645:rs7548798
1   1060235 rs7540009   G   A   .   PASS    AF=0.04543  ES:SE:LP:AF:SS:ID   -0.0311:0.0839:0.148008:0.04543:2645:rs7540009
1   1060608 rs17160824  G   A   .   PASS    AF=0.06642  ES:SE:LP:AF:SS:ID   -0.0336:0.0448:0.343614:0.06642:2645:rs17160824
1   1061115 rs17160826  T   C   .   PASS    AF=0.06642  ES:SE:LP:AF:SS:ID   -0.0369:0.0451:0.38384:0.06642:2645:rs17160826
1   1061152 rs12748370  T   C   .   PASS    AF=0.06642  ES:SE:LP:AF:SS:ID   -0.038:0.0452:0.398483:0.06642:2645:rs12748370
1   1061166 rs11807848  T   C   .   PASS    AF=0.3921   ES:SE:LP:AF:SS:ID   0.0092:0.0284:0.127145:0.3921:2645:rs11807848
1   1062015 rs9659914   C   T   .   PASS    AF=0.04457  ES:SE:LP:AF:SS:ID   -0.023:0.0856:0.103198:0.04457:2645:rs9659914
1   1062638 rs9442373   C   A   .   PASS    AF=0.5233   ES:SE:LP:AF:SS:ID   0.0082:0.0279:0.113735:0.5233:2645:rs9442373
1   1064535 rs6682475   G   C   .   PASS    AF=0.7884   ES:SE:LP:AF:SS:ID   0.0426:0.0349:0.653061:0.7884:2645:rs6682475