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

{
    "fileformat": "VCFv4.2",
    "FILTER": "<ID=PASS,Description=\"All filters passed\">",
    "INFO": "<ID=AF,Number=A,Type=Float,Description=\"Allele Frequency\">",
    "FORMAT": "<ID=ES,Number=A,Type=Float,Description=\"Effect size estimate relative to the alternative allele\">",
    "FORMAT.1": "<ID=SE,Number=A,Type=Float,Description=\"Standard error of effect size estimate\">",
    "FORMAT.2": "<ID=LP,Number=A,Type=Float,Description=\"-log10 p-value for effect estimate\">",
    "FORMAT.3": "<ID=AF,Number=A,Type=Float,Description=\"Alternate allele frequency in the association study\">",
    "FORMAT.4": "<ID=SS,Number=A,Type=Float,Description=\"Sample size used to estimate genetic effect\">",
    "FORMAT.5": "<ID=EZ,Number=A,Type=Float,Description=\"Z-score provided if it was used to derive the EFFECT and SE fields\">",
    "FORMAT.6": "<ID=SI,Number=A,Type=Float,Description=\"Accuracy score of summary data imputation\">",
    "FORMAT.7": "<ID=NC,Number=A,Type=Float,Description=\"Number of cases used to estimate genetic effect\">",
    "FORMAT.8": "<ID=ID,Number=1,Type=String,Description=\"Study variant identifier\">",
    "META": "<ID=TotalVariants,Number=1,Type=Integer,Description=\"Total number of variants in input\">",
    "META.1": "<ID=VariantsNotRead,Number=1,Type=Integer,Description=\"Number of variants that could not be read\">",
    "META.2": "<ID=HarmonisedVariants,Number=1,Type=Integer,Description=\"Total number of harmonised variants\">",
    "META.3": "<ID=VariantsNotHarmonised,Number=1,Type=Integer,Description=\"Total number of variants that could not be harmonised\">",
    "META.4": "<ID=SwitchedAlleles,Number=1,Type=Integer,Description=\"Total number of variants strand switched\">",
    "META.5": "<ID=TotalControls,Number=1,Type=Integer,Description=\"Total number of controls in the association study\">",
    "META.6": "<ID=TotalCases,Number=1,Type=Integer,Description=\"Total number of cases in the association study\">",
    "META.7": "<ID=StudyType,Number=1,Type=String,Description=\"Type of GWAS study [Continuous or CaseControl]\">",
    "SAMPLE": "<ID=ukb-d-12338_irnt,TotalVariants=13478900,VariantsNotRead=0,HarmonisedVariants=13478900,VariantsNotHarmonised=0,SwitchedAlleles=229,StudyType=Continuous>",
    "contig": "<ID=1,length=249250621,assembly=HG19/GRCh37>",
    "contig.1": "<ID=2,length=243199373,assembly=HG19/GRCh37>",
    "contig.2": "<ID=3,length=198022430,assembly=HG19/GRCh37>",
    "contig.3": "<ID=4,length=191154276,assembly=HG19/GRCh37>",
    "contig.4": "<ID=5,length=180915260,assembly=HG19/GRCh37>",
    "contig.5": "<ID=6,length=171115067,assembly=HG19/GRCh37>",
    "contig.6": "<ID=7,length=159138663,assembly=HG19/GRCh37>",
    "contig.7": "<ID=8,length=146364022,assembly=HG19/GRCh37>",
    "contig.8": "<ID=9,length=141213431,assembly=HG19/GRCh37>",
    "contig.9": "<ID=10,length=135534747,assembly=HG19/GRCh37>",
    "contig.10": "<ID=11,length=135006516,assembly=HG19/GRCh37>",
    "contig.11": "<ID=12,length=133851895,assembly=HG19/GRCh37>",
    "contig.12": "<ID=13,length=115169878,assembly=HG19/GRCh37>",
    "contig.13": "<ID=14,length=107349540,assembly=HG19/GRCh37>",
    "contig.14": "<ID=15,length=102531392,assembly=HG19/GRCh37>",
    "contig.15": "<ID=16,length=90354753,assembly=HG19/GRCh37>",
    "contig.16": "<ID=17,length=81195210,assembly=HG19/GRCh37>",
    "contig.17": "<ID=18,length=78077248,assembly=HG19/GRCh37>",
    "contig.18": "<ID=19,length=59128983,assembly=HG19/GRCh37>",
    "contig.19": "<ID=20,length=63025520,assembly=HG19/GRCh37>",
    "contig.20": "<ID=21,length=48129895,assembly=HG19/GRCh37>",
    "contig.21": "<ID=22,length=51304566,assembly=HG19/GRCh37>",
    "contig.22": "<ID=X,length=155270560,assembly=HG19/GRCh37>",
    "contig.23": "<ID=Y,length=59373566,assembly=HG19/GRCh37>",
    "contig.24": "<ID=MT,length=16569,assembly=HG19/GRCh37>",
    "contig.25": "<ID=GL000207.1,length=4262,assembly=HG19/GRCh37>",
    "contig.26": "<ID=GL000226.1,length=15008,assembly=HG19/GRCh37>",
    "contig.27": "<ID=GL000229.1,length=19913,assembly=HG19/GRCh37>",
    "contig.28": "<ID=GL000231.1,length=27386,assembly=HG19/GRCh37>",
    "contig.29": "<ID=GL000210.1,length=27682,assembly=HG19/GRCh37>",
    "contig.30": "<ID=GL000239.1,length=33824,assembly=HG19/GRCh37>",
    "contig.31": "<ID=GL000235.1,length=34474,assembly=HG19/GRCh37>",
    "contig.32": "<ID=GL000201.1,length=36148,assembly=HG19/GRCh37>",
    "contig.33": "<ID=GL000247.1,length=36422,assembly=HG19/GRCh37>",
    "contig.34": "<ID=GL000245.1,length=36651,assembly=HG19/GRCh37>",
    "contig.35": "<ID=GL000197.1,length=37175,assembly=HG19/GRCh37>",
    "contig.36": "<ID=GL000203.1,length=37498,assembly=HG19/GRCh37>",
    "contig.37": "<ID=GL000246.1,length=38154,assembly=HG19/GRCh37>",
    "contig.38": "<ID=GL000249.1,length=38502,assembly=HG19/GRCh37>",
    "contig.39": "<ID=GL000196.1,length=38914,assembly=HG19/GRCh37>",
    "contig.40": "<ID=GL000248.1,length=39786,assembly=HG19/GRCh37>",
    "contig.41": "<ID=GL000244.1,length=39929,assembly=HG19/GRCh37>",
    "contig.42": "<ID=GL000238.1,length=39939,assembly=HG19/GRCh37>",
    "contig.43": "<ID=GL000202.1,length=40103,assembly=HG19/GRCh37>",
    "contig.44": "<ID=GL000234.1,length=40531,assembly=HG19/GRCh37>",
    "contig.45": "<ID=GL000232.1,length=40652,assembly=HG19/GRCh37>",
    "contig.46": "<ID=GL000206.1,length=41001,assembly=HG19/GRCh37>",
    "contig.47": "<ID=GL000240.1,length=41933,assembly=HG19/GRCh37>",
    "contig.48": "<ID=GL000236.1,length=41934,assembly=HG19/GRCh37>",
    "contig.49": "<ID=GL000241.1,length=42152,assembly=HG19/GRCh37>",
    "contig.50": "<ID=GL000243.1,length=43341,assembly=HG19/GRCh37>",
    "contig.51": "<ID=GL000242.1,length=43523,assembly=HG19/GRCh37>",
    "contig.52": "<ID=GL000230.1,length=43691,assembly=HG19/GRCh37>",
    "contig.53": "<ID=GL000237.1,length=45867,assembly=HG19/GRCh37>",
    "contig.54": "<ID=GL000233.1,length=45941,assembly=HG19/GRCh37>",
    "contig.55": "<ID=GL000204.1,length=81310,assembly=HG19/GRCh37>",
    "contig.56": "<ID=GL000198.1,length=90085,assembly=HG19/GRCh37>",
    "contig.57": "<ID=GL000208.1,length=92689,assembly=HG19/GRCh37>",
    "contig.58": "<ID=GL000191.1,length=106433,assembly=HG19/GRCh37>",
    "contig.59": "<ID=GL000227.1,length=128374,assembly=HG19/GRCh37>",
    "contig.60": "<ID=GL000228.1,length=129120,assembly=HG19/GRCh37>",
    "contig.61": "<ID=GL000214.1,length=137718,assembly=HG19/GRCh37>",
    "contig.62": "<ID=GL000221.1,length=155397,assembly=HG19/GRCh37>",
    "contig.63": "<ID=GL000209.1,length=159169,assembly=HG19/GRCh37>",
    "contig.64": "<ID=GL000218.1,length=161147,assembly=HG19/GRCh37>",
    "contig.65": "<ID=GL000220.1,length=161802,assembly=HG19/GRCh37>",
    "contig.66": "<ID=GL000213.1,length=164239,assembly=HG19/GRCh37>",
    "contig.67": "<ID=GL000211.1,length=166566,assembly=HG19/GRCh37>",
    "contig.68": "<ID=GL000199.1,length=169874,assembly=HG19/GRCh37>",
    "contig.69": "<ID=GL000217.1,length=172149,assembly=HG19/GRCh37>",
    "contig.70": "<ID=GL000216.1,length=172294,assembly=HG19/GRCh37>",
    "contig.71": "<ID=GL000215.1,length=172545,assembly=HG19/GRCh37>",
    "contig.72": "<ID=GL000205.1,length=174588,assembly=HG19/GRCh37>",
    "contig.73": "<ID=GL000219.1,length=179198,assembly=HG19/GRCh37>",
    "contig.74": "<ID=GL000224.1,length=179693,assembly=HG19/GRCh37>",
    "contig.75": "<ID=GL000223.1,length=180455,assembly=HG19/GRCh37>",
    "contig.76": "<ID=GL000195.1,length=182896,assembly=HG19/GRCh37>",
    "contig.77": "<ID=GL000212.1,length=186858,assembly=HG19/GRCh37>",
    "contig.78": "<ID=GL000222.1,length=186861,assembly=HG19/GRCh37>",
    "contig.79": "<ID=GL000200.1,length=187035,assembly=HG19/GRCh37>",
    "contig.80": "<ID=GL000193.1,length=189789,assembly=HG19/GRCh37>",
    "contig.81": "<ID=GL000194.1,length=191469,assembly=HG19/GRCh37>",
    "contig.82": "<ID=GL000225.1,length=211173,assembly=HG19/GRCh37>",
    "contig.83": "<ID=GL000192.1,length=547496,assembly=HG19/GRCh37>",
    "gwas_harmonisation_command": "--json /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-12338_irnt/ukb-d-12338_irnt_data.json --ref /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/QC/genomes/b37/human_g1k_v37.fasta; 1.1.1",
    "file_date": "2019-11-25T13:06:59.314807",
    "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/ukb-d-import/processed/ukb-d-12338_irnt/ukb-d-12338_irnt.vcf.gz -O z /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-12338_irnt/ukb-d-12338_irnt_data.vcf.gz; Date=Mon Nov 25 13:56:27 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/ukb-d-12338_irnt/ukb-d-12338_irnt.vcf.gz; Date=Sun May 10 23:18:00 2020"
}

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/ukb-d-import/processed/ukb-d-12338_irnt/ukb-d-12338_irnt.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-d-import/processed/ukb-d-12338_irnt/ldsc.txt \
--w-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/ 

Beginning analysis at Mon Nov 25 14:50:23 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-12338_irnt/ukb-d-12338_irnt.vcf.gz ...
Read summary statistics for 13478900 SNPs.
Dropped 12538 SNPs with duplicated rs numbers.
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, 1283473 SNPs remain.
After merging with regression SNP LD, 1283473 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.078 (0.0454)
Lambda GC: 1.0084
Mean Chi^2: 1.0161
Intercept: 0.9994 (0.0065)
Ratio < 0 (usually indicates GC correction).
Analysis finished at Mon Nov 25 14:52:41 2019
Total time elapsed: 2.0m:17.48s

QC metrics

Metrics

Metrics

{
    "af_correlation": 0.9519,
    "inflation_factor": 1.0054,
    "mean_EFFECT": -0,
    "n": 10785,
    "n_snps": 13478900,
    "n_clumped_hits": 0,
    "n_p_sig": 0,
    "n_mono": 0,
    "n_ns": 1247903,
    "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": 544221,
    "n_est": 10870.5468,
    "ratio_se_n": 1.004,
    "mean_diff": -4.0093e-06,
    "ratio_diff": 1.0375,
    "sd_y_est1": 0.9924,
    "sd_y_est2": 0.9964,
    "r2_sum1": 0,
    "r2_sum2": 0,
    "r2_sum3": 0,
    "r2_sum4": 0,
    "ldsc_nsnp_merge_refpanel_ld": 1283473,
    "ldsc_nsnp_merge_regression_ld": 1283473,
    "ldsc_observed_scale_h2_beta": 0.078,
    "ldsc_observed_scale_h2_se": 0.0454,
    "ldsc_intercept_beta": 0.9994,
    "ldsc_intercept_se": 0.0065,
    "ldsc_lambda_gc": 1.0084,
    "ldsc_mean_chisq": 1.0161,
    "ldsc_ratio": -0.0373
}

Flags

name value
af_correlation FALSE
inflation_factor FALSE
n FALSE
is_snpid_non_unique TRUE
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 94 0 13467024 0 NA NA NA NA NA NA NA NA
character REF 0 1.0000000 1 100 0 56879 0 NA NA NA NA NA NA NA NA
character ALT 0 1.0000000 1 342 0 33285 0 NA NA NA NA NA NA NA NA
numeric CHROM 0 1.0000000 NA NA NA NA NA 9.052352e+00 6.184485e+00 1.00000e+00 4.000000e+00 8.000000e+00 1.300000e+01 2.300000e+01 ▇▅▅▂▂
numeric POS 0 1.0000000 NA NA NA NA NA 7.901850e+07 5.591916e+07 3.02000e+02 3.291105e+07 7.012755e+07 1.148541e+08 2.492309e+08 ▇▆▅▂▁
numeric EFFECT 0 1.0000000 NA NA NA NA NA -3.980000e-05 7.715030e-02 -9.73749e-01 -2.075230e-02 -8.180000e-05 2.062440e-02 1.002670e+00 ▁▁▇▁▁
numeric SE 0 1.0000000 NA NA NA NA NA 5.558210e-02 5.336680e-02 1.09742e-02 1.612310e-02 2.937620e-02 7.954520e-02 3.076540e-01 ▇▂▁▁▁
numeric PVAL 0 1.0000000 NA NA NA NA NA 4.988463e-01 2.896396e-01 1.00000e-07 2.470142e-01 4.988362e-01 7.502431e-01 1.000000e+00 ▇▇▇▇▇
numeric PVAL_ztest 0 1.0000000 NA NA NA NA NA 4.988315e-01 2.896485e-01 1.00000e-07 2.469879e-01 4.988214e-01 7.502367e-01 9.999999e-01 ▇▇▇▇▇
numeric AF 0 1.0000000 NA NA NA NA NA 1.922321e-01 2.547591e-01 1.00010e-03 7.809100e-03 6.182500e-02 2.981850e-01 9.989990e-01 ▇▂▁▁▁
numeric AF_reference 544221 0.9596242 NA NA NA NA NA 1.974419e-01 2.473495e-01 0.00000e+00 5.990400e-03 8.586260e-02 3.103040e-01 1.000000e+00 ▇▂▁▁▁
numeric N 0 1.0000000 NA NA NA NA NA 1.078500e+04 0.000000e+00 1.07850e+04 1.078500e+04 1.078500e+04 1.078500e+04 1.078500e+04 ▁▁▇▁▁

Head and tail

CHROM POS ID REF ALT EFFECT SE PVAL PVAL_ztest AF AF_reference N
1 692794 rs530212009 CA C 0.0167171 0.0233199 0.4734760 0.4734606 0.1141230 0.1894970 10785
1 693731 rs12238997 A G 0.0032387 0.0220947 0.8834641 0.8834614 0.1199930 0.1417730 10785
1 707522 rs371890604 G C -0.0000520 0.0246854 0.9983200 0.9983204 0.1008780 0.1293930 10785
1 717587 rs144155419 G A 0.1069920 0.0574925 0.0627755 0.0627480 0.0172056 0.0045926 10785
1 723329 rs189787166 A T -0.3141650 0.1604400 0.0502377 0.0502128 0.0020713 0.0003994 10785
1 730087 rs148120343 T C -0.0073541 0.0306657 0.8104791 0.8104741 0.0587695 0.0127796 10785
1 731718 rs142557973 T C 0.0090092 0.0208510 0.6656961 0.6656875 0.1265870 0.1543530 10785
1 732032 rs61770163 A C 0.0017046 0.0221649 0.9387019 0.9386999 0.1262880 0.1555510 10785
1 734349 rs141242758 T C 0.0086343 0.0208617 0.6789675 0.6789588 0.1258870 0.1525560 10785
1 740284 rs61770167 C T -0.0711119 0.0986358 0.4709535 0.4709377 0.0056424 0.0023962 10785
CHROM POS ID REF ALT EFFECT SE PVAL PVAL_ztest AF AF_reference N
23 154923311 rs141127553 C T 0.0080616 0.0241285 0.7383019 0.7382954 0.0572093 0.0309934 10785
23 154923374 rs111332691 T A 0.0022584 0.0272538 0.9339601 0.9339585 0.0425591 0.0116556 10785
23 154925045 rs509981 C T 0.0178510 0.0128668 0.1653598 0.1653293 0.2441090 0.3634440 10785
23 154925895 rs538470 C T 0.0178264 0.0131390 0.1748868 0.1748592 0.2404290 0.3634440 10785
23 154927581 rs644138 G A 0.0171866 0.0120706 0.1545219 0.1544929 0.3016000 0.4635760 10785
23 154929412 rs557132 C T 0.0181419 0.0128705 0.1586942 0.1586660 0.2438390 0.3568210 10785
23 154929637 rs35185538 CT C 0.0251424 0.0134898 0.0623778 0.0623486 0.2263100 0.3011920 10785
23 154929952 rs4012982 CAA C 0.0177372 0.0135162 0.1894510 0.1894217 0.2383400 0.3165560 10785
23 154930230 rs781880 A G 0.0178098 0.0128580 0.1660451 0.1660175 0.2448190 0.3618540 10785
23 154930487 rs781879 T A 0.0362877 0.0442859 0.4125779 0.4125604 0.0189461 0.1263580 10785

bcf preview

1   692794  rs530212009 CA  C   .   PASS    AF=0.114123 ES:SE:LP:AF:SS:ID   0.0167171:0.0233199:0.324702:0.114123:10785:1_692794_CA_C
1   693731  rs12238997  A   G   .   PASS    AF=0.119993 ES:SE:LP:AF:SS:ID   0.0032387:0.0220947:0.0538111:0.119993:10785:rs12238997
1   707522  rs371890604 G   C   .   PASS    AF=0.100878 ES:SE:LP:AF:SS:ID   -5.19657e-05:0.0246854:0.000730228:0.100878:10785:rs371890604
1   717587  rs144155419 G   A   .   PASS    AF=0.0172056    ES:SE:LP:AF:SS:ID   0.106992:0.0574925:1.20221:0.0172056:10785:rs144155419
1   723329  rs189787166 A   T   .   PASS    AF=0.00207132   ES:SE:LP:AF:SS:ID   -0.314165:0.16044:1.29897:0.00207132:10785:rs189787166
1   730087  rs148120343 T   C   .   PASS    AF=0.0587695    ES:SE:LP:AF:SS:ID   -0.00735408:0.0306657:0.0912582:0.0587695:10785:rs148120343
1   731718  rs58276399  T   C   .   PASS    AF=0.126587 ES:SE:LP:AF:SS:ID   0.00900918:0.020851:0.176724:0.126587:10785:rs58276399
1   732032  rs61770163  A   C   .   PASS    AF=0.126288 ES:SE:LP:AF:SS:ID   0.00170457:0.0221649:0.0274723:0.126288:10785:rs61770163
1   734349  rs141242758 T   C   .   PASS    AF=0.125887 ES:SE:LP:AF:SS:ID   0.00863433:0.0208617:0.168151:0.125887:10785:rs141242758
1   740284  rs61770167  C   T   .   PASS    AF=0.00564237   ES:SE:LP:AF:SS:ID   -0.0711119:0.0986358:0.327022:0.00564237:10785:rs61770167
1   742813  rs112573343 C   T   .   PASS    AF=0.00164353   ES:SE:LP:AF:SS:ID   0.0352523:0.200187:0.06539:0.00164353:10785:rs112573343
1   749963  rs529266287 T   TAA .   PASS    AF=0.8641   ES:SE:LP:AF:SS:ID   -0.013946:0.0204946:0.304325:0.8641:10785:rs529266287
1   750230  rs190826124 G   C   .   PASS    AF=0.0018417    ES:SE:LP:AF:SS:ID   -0.095583:0.164366:0.251116:0.0018417:10785:rs190826124
1   751343  rs28544273  T   A   .   PASS    AF=0.128122 ES:SE:LP:AF:SS:ID   0.00634847:0.0203227:0.122193:0.128122:10785:rs28544273
1   751488  rs200141114 G   GA  .   PASS    AF=0.146379 ES:SE:LP:AF:SS:ID   0.00366226:0.0201855:0.0675095:0.146379:10785:rs200141114
1   751756  rs28527770  T   C   .   PASS    AF=0.128311 ES:SE:LP:AF:SS:ID   0.00697176:0.0202906:0.135989:0.128311:10785:rs28527770
1   753405  rs3115860   C   A   .   PASS    AF=0.865421 ES:SE:LP:AF:SS:ID   -0.0123202:0.0197833:0.2729:0.865421:10785:rs3115860
1   753425  rs3131970   T   C   .   PASS    AF=0.870035 ES:SE:LP:AF:SS:ID   -0.00891853:0.0200925:0.18234:0.870035:10785:rs3131970
1   753541  rs2073813   G   A   .   PASS    AF=0.134029 ES:SE:LP:AF:SS:ID   0.0112592:0.0198491:0.243694:0.134029:10785:rs2073813
1   754105  rs12184325  C   T   .   PASS    AF=0.0338897    ES:SE:LP:AF:SS:ID   -0.0132414:0.0378894:0.138622:0.0338897:10785:rs12184325
1   754182  rs3131969   A   G   .   PASS    AF=0.865171 ES:SE:LP:AF:SS:ID   -0.012377:0.0197757:0.274565:0.865171:10785:rs3131969
1   754192  rs3131968   A   G   .   PASS    AF=0.865261 ES:SE:LP:AF:SS:ID   -0.0127464:0.0197876:0.284429:0.865261:10785:rs3131968
1   754334  rs3131967   T   C   .   PASS    AF=0.865163 ES:SE:LP:AF:SS:ID   -0.0124162:0.0197756:0.275633:0.865163:10785:rs3131967
1   754433  rs150578204 G   A   .   PASS    AF=0.00544184   ES:SE:LP:AF:SS:ID   0.115333:0.0999682:0.604415:0.00544184:10785:rs150578204
1   754458  rs142682604 G   T   .   PASS    AF=0.00541293   ES:SE:LP:AF:SS:ID   0.116749:0.10018:0.612811:0.00541293:10785:rs142682604
1   755435  rs184270342 T   G   .   PASS    AF=0.00502804   ES:SE:LP:AF:SS:ID   0.0192883:0.103941:0.0691599:0.00502804:10785:rs184270342
1   755890  rs3115858   A   T   .   PASS    AF=0.86508  ES:SE:LP:AF:SS:ID   -0.0137458:0.0197275:0.313405:0.86508:10785:rs3115858
1   756434  rs61768170  G   C   .   PASS    AF=0.13146  ES:SE:LP:AF:SS:ID   0.0141062:0.0201125:0.315971:0.13146:10785:rs61768170
1   756604  rs3131962   A   G   .   PASS    AF=0.864766 ES:SE:LP:AF:SS:ID   -0.0151762:0.0196904:0.355683:0.864766:10785:rs3131962
1   757640  rs3115853   G   A   .   PASS    AF=0.863988 ES:SE:LP:AF:SS:ID   -0.0134602:0.0196786:0.306283:0.863988:10785:rs3115853
1   757734  rs4951929   C   T   .   PASS    AF=0.86492  ES:SE:LP:AF:SS:ID   -0.0140545:0.0197066:0.322627:0.86492:10785:rs4951929
1   757936  rs4951862   C   A   .   PASS    AF=0.864926 ES:SE:LP:AF:SS:ID   -0.0140748:0.0197081:0.323178:0.864926:10785:rs4951862
1   758144  rs3131956   A   G   .   PASS    AF=0.864927 ES:SE:LP:AF:SS:ID   -0.0140636:0.0197079:0.32286:0.864927:10785:rs3131956
1   758626  rs3131954   C   T   .   PASS    AF=0.865305 ES:SE:LP:AF:SS:ID   -0.0141801:0.0197586:0.325158:0.865305:10785:rs3131954
1   759293  rs10157329  T   A   .   PASS    AF=0.102433 ES:SE:LP:AF:SS:ID   -0.00656884:0.0230403:0.110378:0.102433:10785:rs10157329
1   759600  rs545998451 AGT A   .   PASS    AF=0.00567273   ES:SE:LP:AF:SS:ID   -0.00696196:0.0970416:0.0255763:0.00567273:10785:1_759600_AGT_A
1   759837  rs3115851   T   A   .   PASS    AF=0.869093 ES:SE:LP:AF:SS:ID   -0.0132911:0.0200207:0.295171:0.869093:10785:rs3115851
1   761732  rs2286139   C   T   .   PASS    AF=0.859093 ES:SE:LP:AF:SS:ID   -0.0138434:0.0196917:0.316893:0.859093:10785:rs2286139
1   761752  rs1057213   C   T   .   PASS    AF=0.863983 ES:SE:LP:AF:SS:ID   -0.0153762:0.0198447:0.358071:0.863983:10785:rs1057213
1   762273  rs3115849   G   A   .   PASS    AF=0.861081 ES:SE:LP:AF:SS:ID   -0.0176906:0.0198453:0.428616:0.861081:10785:rs3115849
1   762485  rs12095200  C   A   .   PASS    AF=0.103794 ES:SE:LP:AF:SS:ID   0.00876278:0.0236562:0.148084:0.103794:10785:rs12095200
1   762589  rs3115848   G   C   .   PASS    AF=0.866469 ES:SE:LP:AF:SS:ID   -0.0166294:0.020082:0.389716:0.866469:10785:rs3115848
1   762592  rs3131950   C   G   .   PASS    AF=0.866469 ES:SE:LP:AF:SS:ID   -0.0166285:0.020082:0.389691:0.866469:10785:rs3131950
1   762601  rs3131949   T   C   .   PASS    AF=0.866485 ES:SE:LP:AF:SS:ID   -0.016998:0.020082:0.400848:0.866485:10785:rs3131949
1   762632  rs3131948   T   A   .   PASS    AF=0.866729 ES:SE:LP:AF:SS:ID   -0.0166957:0.0200878:0.391565:0.866729:10785:rs3131948
1   764191  rs7515915   T   G   .   PASS    AF=0.131042 ES:SE:LP:AF:SS:ID   0.0120865:0.0200955:0.261574:0.131042:10785:rs7515915
1   766007  rs61768174  A   C   .   PASS    AF=0.108197 ES:SE:LP:AF:SS:ID   -0.0053584:0.0220592:0.0925456:0.108197:10785:rs61768174
1   766105  rs2519015   T   A   .   PASS    AF=0.851685 ES:SE:LP:AF:SS:ID   -0.018797:0.0197942:0.465561:0.851685:10785:rs2519015
1   767393  rs538667473 A   C   .   PASS    AF=0.00197333   ES:SE:LP:AF:SS:ID   -0.319783:0.160709:1.33128:0.00197333:10785:rs538667473
1   768116  rs376645387 A   AGTTTT  .   PASS    AF=0.839158 ES:SE:LP:AF:SS:ID   0.00963432:0.0198168:0.202832:0.839158:10785:rs376645387