Summary
Summary {data-width=650}
Manhattan plot
manhattan_plot
QQ plot
qq_plot
AF plot
af_plot
P-Z plot
pz_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-b:17952,TotalVariants=9851866,VariantsNotRead=0,HarmonisedVariants=9851866,VariantsNotHarmonised=0,SwitchedAlleles=9851866,TotalControls=40613,StudyType=Continuous>",
"contig": "<ID=1,length=249250621,assembly=GRCh37>",
"contig.1": "<ID=2,length=243199373,assembly=GRCh37>",
"contig.2": "<ID=3,length=198022430,assembly=GRCh37>",
"contig.3": "<ID=4,length=191154276,assembly=GRCh37>",
"contig.4": "<ID=5,length=180915260,assembly=GRCh37>",
"contig.5": "<ID=6,length=171115067,assembly=GRCh37>",
"contig.6": "<ID=7,length=159138663,assembly=GRCh37>",
"contig.7": "<ID=8,length=146364022,assembly=GRCh37>",
"contig.8": "<ID=9,length=141213431,assembly=GRCh37>",
"contig.9": "<ID=10,length=135534747,assembly=GRCh37>",
"contig.10": "<ID=11,length=135006516,assembly=GRCh37>",
"contig.11": "<ID=12,length=133851895,assembly=GRCh37>",
"contig.12": "<ID=13,length=115169878,assembly=GRCh37>",
"contig.13": "<ID=14,length=107349540,assembly=GRCh37>",
"contig.14": "<ID=15,length=102531392,assembly=GRCh37>",
"contig.15": "<ID=16,length=90354753,assembly=GRCh37>",
"contig.16": "<ID=17,length=81195210,assembly=GRCh37>",
"contig.17": "<ID=18,length=78077248,assembly=GRCh37>",
"contig.18": "<ID=19,length=59128983,assembly=GRCh37>",
"contig.19": "<ID=20,length=63025520,assembly=GRCh37>",
"contig.20": "<ID=21,length=48129895,assembly=GRCh37>",
"contig.21": "<ID=22,length=51304566,assembly=GRCh37>",
"contig.22": "<ID=X,length=155270560,assembly=GRCh37>",
"contig.23": "<ID=Y,length=59373566,assembly=GRCh37>",
"contig.24": "<ID=MT,length=16569,assembly=GRCh37>",
"contig.25": "<ID=GL000207.1,length=4262,assembly=GRCh37>",
"contig.26": "<ID=GL000226.1,length=15008,assembly=GRCh37>",
"contig.27": "<ID=GL000229.1,length=19913,assembly=GRCh37>",
"contig.28": "<ID=GL000231.1,length=27386,assembly=GRCh37>",
"contig.29": "<ID=GL000210.1,length=27682,assembly=GRCh37>",
"contig.30": "<ID=GL000239.1,length=33824,assembly=GRCh37>",
"contig.31": "<ID=GL000235.1,length=34474,assembly=GRCh37>",
"contig.32": "<ID=GL000201.1,length=36148,assembly=GRCh37>",
"contig.33": "<ID=GL000247.1,length=36422,assembly=GRCh37>",
"contig.34": "<ID=GL000245.1,length=36651,assembly=GRCh37>",
"contig.35": "<ID=GL000197.1,length=37175,assembly=GRCh37>",
"contig.36": "<ID=GL000203.1,length=37498,assembly=GRCh37>",
"contig.37": "<ID=GL000246.1,length=38154,assembly=GRCh37>",
"contig.38": "<ID=GL000249.1,length=38502,assembly=GRCh37>",
"contig.39": "<ID=GL000196.1,length=38914,assembly=GRCh37>",
"contig.40": "<ID=GL000248.1,length=39786,assembly=GRCh37>",
"contig.41": "<ID=GL000244.1,length=39929,assembly=GRCh37>",
"contig.42": "<ID=GL000238.1,length=39939,assembly=GRCh37>",
"contig.43": "<ID=GL000202.1,length=40103,assembly=GRCh37>",
"contig.44": "<ID=GL000234.1,length=40531,assembly=GRCh37>",
"contig.45": "<ID=GL000232.1,length=40652,assembly=GRCh37>",
"contig.46": "<ID=GL000206.1,length=41001,assembly=GRCh37>",
"contig.47": "<ID=GL000240.1,length=41933,assembly=GRCh37>",
"contig.48": "<ID=GL000236.1,length=41934,assembly=GRCh37>",
"contig.49": "<ID=GL000241.1,length=42152,assembly=GRCh37>",
"contig.50": "<ID=GL000243.1,length=43341,assembly=GRCh37>",
"contig.51": "<ID=GL000242.1,length=43523,assembly=GRCh37>",
"contig.52": "<ID=GL000230.1,length=43691,assembly=GRCh37>",
"contig.53": "<ID=GL000237.1,length=45867,assembly=GRCh37>",
"contig.54": "<ID=GL000233.1,length=45941,assembly=GRCh37>",
"contig.55": "<ID=GL000204.1,length=81310,assembly=GRCh37>",
"contig.56": "<ID=GL000198.1,length=90085,assembly=GRCh37>",
"contig.57": "<ID=GL000208.1,length=92689,assembly=GRCh37>",
"contig.58": "<ID=GL000191.1,length=106433,assembly=GRCh37>",
"contig.59": "<ID=GL000227.1,length=128374,assembly=GRCh37>",
"contig.60": "<ID=GL000228.1,length=129120,assembly=GRCh37>",
"contig.61": "<ID=GL000214.1,length=137718,assembly=GRCh37>",
"contig.62": "<ID=GL000221.1,length=155397,assembly=GRCh37>",
"contig.63": "<ID=GL000209.1,length=159169,assembly=GRCh37>",
"contig.64": "<ID=GL000218.1,length=161147,assembly=GRCh37>",
"contig.65": "<ID=GL000220.1,length=161802,assembly=GRCh37>",
"contig.66": "<ID=GL000213.1,length=164239,assembly=GRCh37>",
"contig.67": "<ID=GL000211.1,length=166566,assembly=GRCh37>",
"contig.68": "<ID=GL000199.1,length=169874,assembly=GRCh37>",
"contig.69": "<ID=GL000217.1,length=172149,assembly=GRCh37>",
"contig.70": "<ID=GL000216.1,length=172294,assembly=GRCh37>",
"contig.71": "<ID=GL000215.1,length=172545,assembly=GRCh37>",
"contig.72": "<ID=GL000205.1,length=174588,assembly=GRCh37>",
"contig.73": "<ID=GL000219.1,length=179198,assembly=GRCh37>",
"contig.74": "<ID=GL000224.1,length=179693,assembly=GRCh37>",
"contig.75": "<ID=GL000223.1,length=180455,assembly=GRCh37>",
"contig.76": "<ID=GL000195.1,length=182896,assembly=GRCh37>",
"contig.77": "<ID=GL000212.1,length=186858,assembly=GRCh37>",
"contig.78": "<ID=GL000222.1,length=186861,assembly=GRCh37>",
"contig.79": "<ID=GL000200.1,length=187035,assembly=GRCh37>",
"contig.80": "<ID=GL000193.1,length=189789,assembly=GRCh37>",
"contig.81": "<ID=GL000194.1,length=191469,assembly=GRCh37>",
"contig.82": "<ID=GL000225.1,length=211173,assembly=GRCh37>",
"contig.83": "<ID=GL000192.1,length=547496,assembly=GRCh37>",
"gwas_harmonisation_command": "--out /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukbiobank/vcf_09_19b/bgzip_vcf/data.batch_3085.vcf.gz --id UKB-b:17952 --data /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukbiobank/raw-output/data.batch_3085.txt.gz --cohort_controls 40613 --ref /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukbiobank/human_g1k_v37.fasta --json /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukbiobank/ukb_gwas.json; 1.1.1",
"file_date": "2019-09-12T19:38:36.255709",
"bcftools_viewVersion": "1.9-74-g6af271c+htslib-1.9-64-g226b4a8",
"bcftools_viewCommand": "view -T ^/mnt/storage/private/mrcieu/research/scratch/IGD/data/public/UKB-b-17952/mac_discard.txt -Oz /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/UKB-b-17952/UKB-b-17952_raw.vcf.gz; Date=Thu Oct 17 12:35:35 2019",
"bcftools_viewCommand.1": "view -h /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukb-b-17952/ukb-b-17952.vcf.gz; Date=Sun May 10 12:20:35 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/public/UKB-b-17952/UKB-b-17952_data.vcf.gz \
--ref-ld-chr ../reference/eur_w_ld_chr/ \
--out /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/UKB-b-17952/ldsc.txt \
--w-ld-chr ../reference/eur_w_ld_chr/
Beginning analysis at Thu Oct 17 14:40:18 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/UKB-b-17952/UKB-b-17952_data.vcf.gz ...
Read summary statistics for 7939558 SNPs.
Dropped 6016 SNPs with duplicated rs numbers.
Reading reference panel LD Score from ../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 ../reference/eur_w_ld_chr/[1-22] ...
Read regression weight LD Scores for 1290028 SNPs.
After merging with reference panel LD, 1281557 SNPs remain.
After merging with regression SNP LD, 1281557 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.2533 (0.0305)
Lambda GC: 1.1492
Mean Chi^2: 1.2246
Intercept: 1.0149 (0.01)
Ratio: 0.0663 (0.0446)
Analysis finished at Thu Oct 17 14:41:49 2019
Total time elapsed: 1.0m:31.12sQC metrics
Metrics
Metrics
{
"af_correlation": 0.9425,
"inflation_factor": 1.0966,
"mean_EFFECT": -5.6766e-06,
"n": "-Inf",
"n_snps": 9851866,
"n_clumped_hits": 41,
"n_p_sig": 2740,
"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": 74070,
"n_est": "NA",
"ratio_se_n": "NA",
"mean_diff": "NaN",
"ratio_diff": "NaN",
"sd_y_est1": "NaN",
"sd_y_est2": "NA",
"r2_sum1": 0,
"r2_sum2": 0,
"r2_sum3": 0,
"r2_sum4": 0,
"ldsc_nsnp_merge_refpanel_ld": 1281557,
"ldsc_nsnp_merge_regression_ld": 1281557,
"ldsc_observed_scale_h2_beta": 0.2533,
"ldsc_observed_scale_h2_se": 0.0305,
"ldsc_intercept_beta": 1.0149,
"ldsc_intercept_se": 0.01,
"ldsc_lambda_gc": 1.1492,
"ldsc_mean_chisq": 1.2246,
"ldsc_ratio": 0.0663
}
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 | TRUE |
| 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 betweenAFandAF_reference.inflation_factor(lambda): Genomic inflation factor.mean_EFFECT: Mean ofEFFECTsize.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 below5e-8.n_mono: Number of monomorphic (MAF == 1orMAF == 0) SNPs.n_ns: Number of SNPs with nonsense values:- alleles other than
A, C, G or T. - P-values
< 0or> 1. - negative or infinite standard errors (
<= 0or= Infinity). - infinite beta estimates or allele frequencies
< 0or> 1.
- alleles other than
n_mac: Number of cases whereMAC(\(2 \times N \times MAF\)) is less than6.is_snpid_unique:trueif the combination ofIDREFALTis unique and therefore no duplication in snpid.n_miss_<*>: Number ofNAobservations 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 expectratio_se_nto 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 ofdiffand the mean ofdiff2(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<*>:r2statistics under various assumptions1: \(r^2 = \sum_j{\frac{2 \times \beta_j^2 \times {MAF}_j \times (1 - {MAF}_j)}{\texttt{var1}}}\), \(\texttt{var1} = 1\).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: NOTis_snpid_unique.mean_EFFECT_nonfinite:mean(EFFECT)isNA,NaN, orInf.mean_EFFECT_05:abs(mean(EFFECT))> 0.5.mean_EFFECT_01:abs(mean(EFFECT))> 0.1.mean_chisq:ldsc_mean_chisq> 1.3 orldsc_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<*>> 0.5
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 | 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 | 7933569 | 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 | 7939558 | 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 | 8.660405e+00 | 5.763588e+00 | 1.0000000 | 4.000000e+00 | 8.000000e+00 | 1.300000e+01 | 2.200000e+01 | ▇▅▅▂▂ |
| numeric | POS | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 7.870876e+07 | 5.642285e+07 | 828.0000000 | 3.225644e+07 | 6.918309e+07 | 1.145575e+08 | 2.492385e+08 | ▇▆▅▂▁ |
| numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | -5.700000e-06 | 1.685000e-02 | -0.2028520 | -8.004700e-03 | -1.150000e-05 | 7.985900e-03 | 1.879900e-01 | ▁▁▇▁▁ |
| numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 1.392580e-02 | 8.272900e-03 | 0.0063973 | 7.412600e-03 | 1.027170e-02 | 1.827560e-02 | 7.746890e-02 | ▇▂▁▁▁ |
| numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.815280e-01 | 2.944327e-01 | 0.0000000 | 2.200002e-01 | 4.799997e-01 | 7.400005e-01 | 1.000000e+00 | ▇▇▇▆▇ |
| numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.815287e-01 | 2.944071e-01 | 0.0000000 | 2.217557e-01 | 4.753724e-01 | 7.369978e-01 | 9.999997e-01 | ▇▇▇▇▇ |
| numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 2.471889e-01 | 2.607850e-01 | 0.0086180 | 3.650920e-02 | 1.388410e-01 | 3.914740e-01 | 9.913820e-01 | ▇▂▂▁▁ |
| numeric | AF_reference | 74070 | 0.9906708 | NA | NA | NA | NA | NA | NA | NA | 2.463905e-01 | 2.526037e-01 | 0.0000000 | 3.873800e-02 | 1.541530e-01 | 3.865810e-01 | 1.000000e+00 | ▇▃▂▁▁ |
Head and tail
| CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 49298 | rs200943160 | T | C | 0.0011228 | 0.0117580 | 0.9199999 | 0.9239237 | 0.623882 | 0.7821490 | NA |
| 1 | 54676 | rs2462492 | C | T | -0.0256436 | 0.0116790 | 0.0280001 | 0.0281133 | 0.401861 | NA | NA |
| 1 | 86028 | rs114608975 | T | C | 0.0080182 | 0.0184892 | 0.6600001 | 0.6645278 | 0.103927 | 0.0277556 | NA |
| 1 | 91536 | rs6702460 | G | T | -0.0234813 | 0.0114048 | 0.0400000 | 0.0395042 | 0.458825 | 0.4207270 | NA |
| 1 | 234313 | rs8179466 | C | T | -0.0274260 | 0.0228004 | 0.2300001 | 0.2290252 | 0.073683 | NA | NA |
| 1 | 534192 | rs6680723 | C | T | -0.0105416 | 0.0130188 | 0.4199997 | 0.4181004 | 0.242155 | NA | NA |
| 1 | 546697 | rs12025928 | A | G | 0.0244151 | 0.0166133 | 0.1400000 | 0.1416670 | 0.915728 | NA | NA |
| 1 | 693731 | rs12238997 | A | G | 0.0109102 | 0.0111703 | 0.3300000 | 0.3287102 | 0.112708 | 0.1417730 | NA |
| 1 | 705882 | rs72631875 | G | A | 0.0035976 | 0.0164690 | 0.8300000 | 0.8270834 | 0.064258 | 0.0315495 | NA |
| 1 | 706368 | rs55727773 | A | G | -0.0042307 | 0.0081686 | 0.5999997 | 0.6045108 | 0.513756 | 0.2751600 | NA |
| CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 22 | 51219006 | rs28729663 | G | A | 0.0103683 | 0.0098115 | 0.2900000 | 0.2906239 | 0.139274 | 0.2052720 | NA |
| 22 | 51219387 | rs9616832 | T | C | -0.0025858 | 0.0126315 | 0.8400000 | 0.8377959 | 0.076170 | 0.0654952 | NA |
| 22 | 51219704 | rs147475742 | G | A | -0.0014906 | 0.0171069 | 0.9299999 | 0.9305665 | 0.042286 | 0.0473243 | NA |
| 22 | 51221190 | rs369304721 | G | A | 0.0052313 | 0.0170028 | 0.7600007 | 0.7583313 | 0.051070 | NA | NA |
| 22 | 51221731 | rs115055839 | T | C | -0.0009805 | 0.0126319 | 0.9400001 | 0.9381307 | 0.075698 | 0.0625000 | NA |
| 22 | 51222100 | rs114553188 | G | T | 0.0252776 | 0.0151691 | 0.0959997 | 0.0956362 | 0.053592 | 0.0880591 | NA |
| 22 | 51223637 | rs375798137 | G | A | 0.0255403 | 0.0152400 | 0.0940005 | 0.0937631 | 0.053223 | 0.0788738 | NA |
| 22 | 51229805 | rs9616985 | T | C | 0.0000985 | 0.0126783 | 0.9900000 | 0.9938023 | 0.075449 | 0.0730831 | NA |
| 22 | 51232488 | rs376461333 | A | G | 0.0621624 | 0.0302138 | 0.0400000 | 0.0396461 | 0.019783 | NA | NA |
| 22 | 51237063 | rs3896457 | T | C | -0.0121359 | 0.0078167 | 0.1199999 | 0.1205291 | 0.300040 | 0.2050720 | NA |
bcf preview
1 49298 rs10399793 T C . PASS AF=0.623882 ES:SE:LP:AF:ID 0.0011228:0.011758:0.0362122:0.623882:rs10399793
1 54676 rs2462492 C T . PASS AF=0.401861 ES:SE:LP:AF:ID -0.0256436:0.011679:1.55284:0.401861:rs2462492
1 86028 rs114608975 T C . PASS AF=0.103927 ES:SE:LP:AF:ID 0.00801822:0.0184892:0.180456:0.103927:rs114608975
1 91536 rs6702460 G T . PASS AF=0.458825 ES:SE:LP:AF:ID -0.0234813:0.0114048:1.39794:0.458825:rs6702460
1 234313 rs8179466 C T . PASS AF=0.073683 ES:SE:LP:AF:ID -0.027426:0.0228004:0.638272:0.073683:rs8179466
1 534192 rs6680723 C T . PASS AF=0.242155 ES:SE:LP:AF:ID -0.0105416:0.0130188:0.376751:0.242155:rs6680723
1 546697 rs12025928 A G . PASS AF=0.915728 ES:SE:LP:AF:ID 0.0244151:0.0166133:0.853872:0.915728:rs12025928
1 693731 rs12238997 A G . PASS AF=0.112708 ES:SE:LP:AF:ID 0.0109102:0.0111703:0.481486:0.112708:rs12238997
1 705882 rs72631875 G A . PASS AF=0.064258 ES:SE:LP:AF:ID 0.00359755:0.016469:0.0809219:0.064258:rs72631875
1 706368 rs12029736 A G . PASS AF=0.513756 ES:SE:LP:AF:ID -0.00423072:0.0081686:0.221849:0.513756:rs12029736
1 714596 rs149887893 T C . PASS AF=0.031782 ES:SE:LP:AF:ID -0.0179011:0.0209311:0.408935:0.031782:rs149887893
1 715265 rs12184267 C T . PASS AF=0.035201 ES:SE:LP:AF:ID -0.0178881:0.0190286:0.455932:0.035201:rs12184267
1 715367 rs12184277 A G . PASS AF=0.035252 ES:SE:LP:AF:ID -0.0181028:0.0189701:0.468521:0.035252:rs12184277
1 717485 rs12184279 C A . PASS AF=0.035033 ES:SE:LP:AF:ID -0.0166183:0.0190879:0.420216:0.035033:rs12184279
1 717587 rs144155419 G A . PASS AF=0.016372 ES:SE:LP:AF:ID -0.0262693:0.0289318:0.443698:0.016372:rs144155419
1 720381 rs116801199 G T . PASS AF=0.035597 ES:SE:LP:AF:ID -0.0160701:0.0188682:0.408935:0.035597:rs116801199
1 721290 rs12565286 G C . PASS AF=0.035636 ES:SE:LP:AF:ID -0.0146742:0.0188175:0.356547:0.035636:rs12565286
1 722670 rs116030099 T C . PASS AF=0.1009 ES:SE:LP:AF:ID -0.00228176:0.0134668:0.0604807:0.1009:rs116030099
1 723891 rs2977670 G C . PASS AF=0.96074 ES:SE:LP:AF:ID 0.0105305:0.0181566:0.251812:0.96074:rs2977670
1 724849 rs12126395 C A . PASS AF=0.031119 ES:SE:LP:AF:ID -0.0647409:0.0323392:1.34679:0.031119:rs12126395
1 725060 rs865924913 A T . PASS AF=0.05433 ES:SE:LP:AF:ID 0.02786:0.0254837:0.568636:0.05433:rs865924913
1 726794 rs28454925 C G . PASS AF=0.035163 ES:SE:LP:AF:ID -0.0159918:0.0189442:0.39794:0.035163:rs28454925
1 729632 rs116720794 C T . PASS AF=0.035499 ES:SE:LP:AF:ID -0.0175433:0.0187552:0.455932:0.035499:rs116720794
1 729679 rs4951859 C G . PASS AF=0.848068 ES:SE:LP:AF:ID -0.00644706:0.0096614:0.30103:0.848068:rs4951859
1 730087 rs148120343 T C . PASS AF=0.054239 ES:SE:LP:AF:ID 0.0156263:0.0156568:0.49485:0.054239:rs148120343
1 731718 rs58276399 T C . PASS AF=0.118715 ES:SE:LP:AF:ID 0.0133123:0.0105771:0.677781:0.118715:rs58276399
1 732989 rs369030935 C T . PASS AF=0.026176 ES:SE:LP:AF:ID -0.0284014:0.0253928:0.585027:0.026176:rs369030935
1 734349 rs141242758 T C . PASS AF=0.117985 ES:SE:LP:AF:ID 0.0131423:0.0105864:0.677781:0.117985:rs141242758
1 736289 rs79010578 T A . PASS AF=0.127457 ES:SE:LP:AF:ID 0.0119379:0.0104584:0.60206:0.127457:rs79010578
1 736689 rs181876450 T C . PASS AF=0.011719 ES:SE:LP:AF:ID -0.0242567:0.0360218:0.30103:0.011719:rs181876450
1 752478 rs146277091 G A . PASS AF=0.035231 ES:SE:LP:AF:ID -0.0161213:0.0186128:0.408935:0.035231:rs146277091
1 752566 rs3094315 G A . PASS AF=0.844081 ES:SE:LP:AF:ID -0.00597072:0.00936569:0.283997:0.844081:rs3094315
1 752721 rs3131972 A G . PASS AF=0.843762 ES:SE:LP:AF:ID -0.00637345:0.00935585:0.30103:0.843762:rs3131972
1 753405 rs3115860 C A . PASS AF=0.873824 ES:SE:LP:AF:ID -0.0116489:0.0100421:0.60206:0.873824:rs3115860
1 753541 rs2073813 G A . PASS AF=0.125756 ES:SE:LP:AF:ID 0.0132714:0.0100701:0.721246:0.125756:rs2073813
1 754063 rs12184312 G T . PASS AF=0.035873 ES:SE:LP:AF:ID -0.015524:0.018257:0.39794:0.035873:rs12184312
1 754105 rs12184325 C T . PASS AF=0.036099 ES:SE:LP:AF:ID -0.0159502:0.0181436:0.420216:0.036099:rs12184325
1 754182 rs3131969 A G . PASS AF=0.873233 ES:SE:LP:AF:ID -0.012155:0.0100238:0.638272:0.873233:rs3131969
1 754192 rs3131968 A G . PASS AF=0.873396 ES:SE:LP:AF:ID -0.0116786:0.01003:0.619789:0.873396:rs3131968
1 754211 rs12184313 G A . PASS AF=0.036056 ES:SE:LP:AF:ID -0.014631:0.0182274:0.376751:0.036056:rs12184313
1 754334 rs3131967 T C . PASS AF=0.87325 ES:SE:LP:AF:ID -0.0122593:0.0100233:0.657577:0.87325:rs3131967
1 754503 rs3115859 G A . PASS AF=0.843261 ES:SE:LP:AF:ID -0.00641544:0.00933367:0.309804:0.843261:rs3115859
1 754629 rs10454459 A G . PASS AF=0.036051 ES:SE:LP:AF:ID -0.0142726:0.0182569:0.366532:0.036051:rs10454459
1 754964 rs3131966 C T . PASS AF=0.843845 ES:SE:LP:AF:ID -0.00634589:0.00935988:0.30103:0.843845:rs3131966
1 755240 rs181660517 T G . PASS AF=0.014003 ES:SE:LP:AF:ID -0.0107536:0.032074:0.130768:0.014003:rs181660517
1 755775 rs3131965 A G . PASS AF=0.844672 ES:SE:LP:AF:ID -0.00828352:0.00948514:0.420216:0.844672:rs3131965
1 755890 rs3115858 A T . PASS AF=0.873462 ES:SE:LP:AF:ID -0.0116061:0.0100109:0.60206:0.873462:rs3115858
1 756604 rs3131962 A G . PASS AF=0.872965 ES:SE:LP:AF:ID -0.0120711:0.00998491:0.638272:0.872965:rs3131962
1 757640 rs3115853 G A . PASS AF=0.872051 ES:SE:LP:AF:ID -0.0111073:0.00996779:0.568636:0.872051:rs3115853
1 757734 rs4951929 C T . PASS AF=0.873174 ES:SE:LP:AF:ID -0.0114022:0.0099951:0.60206:0.873174:rs4951929