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:1425,TotalVariants=9851866,VariantsNotRead=0,HarmonisedVariants=9851866,VariantsNotHarmonised=0,SwitchedAlleles=9851866,TotalControls=460312,TotalCases=2621,StudyType=CaseControl>",
"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_20003_1140911734.vcf.gz --id UKB-b:1425 --data /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukbiobank/raw-output/data.batch_20003_1140911734.txt.gz --cohort_cases 2621 --cohort_controls 460312 --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": "2019-09-13T02:11:27.958346",
"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-1425/mac_discard.txt -Oz /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/UKB-b-1425/UKB-b-1425_raw.vcf.gz; Date=Thu Oct 17 12:30:11 2019",
"bcftools_viewCommand.1": "view -h /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukb-b-1425/ukb-b-1425.vcf.gz; Date=Sun May 10 14:02:35 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-1425/UKB-b-1425_data.vcf.gz \
--ref-ld-chr ../reference/eur_w_ld_chr/ \
--out /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/UKB-b-1425/ldsc.txt \
--w-ld-chr ../reference/eur_w_ld_chr/
Beginning analysis at Thu Oct 17 14:43:23 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/UKB-b-1425/UKB-b-1425_data.vcf.gz ...
Read summary statistics for 3756422 SNPs.
Dropped 654 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, 906396 SNPs remain.
After merging with regression SNP LD, 906396 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.0035 (0.0012)
Lambda GC: 1.0254
Mean Chi^2: 1.0266
Intercept: 0.9903 (0.0081)
Ratio < 0 (usually indicates GC correction).
Analysis finished at Thu Oct 17 14:44:13 2019
Total time elapsed: 49.88sQC metrics
Metrics
Metrics
{
"af_correlation": 0.8647,
"inflation_factor": 1.0475,
"mean_EFFECT": -1.4011e-06,
"n": "-Inf",
"n_snps": 9851866,
"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": 30415,
"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": 906396,
"ldsc_nsnp_merge_regression_ld": 906396,
"ldsc_observed_scale_h2_beta": 0.0035,
"ldsc_observed_scale_h2_se": 0.0012,
"ldsc_intercept_beta": 0.9903,
"ldsc_intercept_se": 0.0081,
"ldsc_lambda_gc": 1.0254,
"ldsc_mean_chisq": 1.0266,
"ldsc_ratio": -0.3647
}
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 | 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 | 3755771 | 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 | 3756422 | 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 | 8.662987e+00 | 5.770397e+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 | 7.855935e+07 | 5.676146e+07 | 828.0000000 | 3.159344e+07 | 6.890173e+07 | 1.147289e+08 | 2.492385e+08 | ▇▆▅▂▁ |
| numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | -1.400000e-06 | 1.827000e-04 | -0.0010590 | -1.230000e-04 | -1.800000e-06 | 1.195000e-04 | 1.243800e-03 | ▁▂▇▁▁ |
| numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 1.790000e-04 | 2.150000e-05 | 0.0001505 | 1.603000e-04 | 1.721000e-04 | 1.940000e-04 | 5.503000e-04 | ▇▁▁▁▁ |
| numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.952155e-01 | 2.897141e-01 | 0.0000001 | 2.399999e-01 | 4.899999e-01 | 7.499995e-01 | 1.000000e+00 | ▇▇▇▇▇ |
| numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.952141e-01 | 2.896888e-01 | 0.0000002 | 2.433205e-01 | 4.940216e-01 | 7.456678e-01 | 9.999995e-01 | ▇▇▇▇▇ |
| numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.044149e-01 | 2.047422e-01 | 0.1335370 | 2.253800e-01 | 3.609900e-01 | 5.581400e-01 | 8.664630e-01 | ▇▅▃▃▂ |
| numeric | AF_reference | 30415 | 0.9919032 | NA | NA | NA | NA | NA | NA | NA | 3.921491e-01 | 2.113160e-01 | 0.0000000 | 2.186500e-01 | 3.560300e-01 | 5.457270e-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 | 0.0001088 | 0.0002769 | 0.6899999 | 0.6943681 | 0.623763 | 0.782149 | NA |
| 1 | 54676 | rs2462492 | C | T | -0.0000881 | 0.0002743 | 0.7499995 | 0.7479753 | 0.400401 | NA | NA |
| 1 | 91536 | rs6702460 | G | T | -0.0001709 | 0.0002701 | 0.5300002 | 0.5268830 | 0.456851 | 0.420727 | NA |
| 1 | 534192 | rs6680723 | C | T | 0.0002415 | 0.0003085 | 0.4299995 | 0.4338194 | 0.240960 | NA | NA |
| 1 | 706368 | rs55727773 | A | G | -0.0000994 | 0.0001915 | 0.5999997 | 0.6036635 | 0.515650 | 0.275160 | NA |
| 1 | 729679 | rs4951859 | C | G | -0.0001873 | 0.0002241 | 0.4000000 | 0.4033183 | 0.843212 | 0.639976 | NA |
| 1 | 752566 | rs3094315 | G | A | -0.0000905 | 0.0002170 | 0.6800001 | 0.6767922 | 0.838951 | 0.718251 | NA |
| 1 | 752721 | rs3131972 | A | G | -0.0001059 | 0.0002168 | 0.6300007 | 0.6251420 | 0.838580 | 0.653355 | NA |
| 1 | 754503 | rs3115859 | G | A | -0.0001225 | 0.0002162 | 0.5700002 | 0.5709035 | 0.838033 | 0.663938 | NA |
| 1 | 754964 | rs3131966 | C | T | -0.0001379 | 0.0002168 | 0.5199996 | 0.5246591 | 0.838664 | 0.663339 | NA |
| CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 22 | 51186143 | rs2879914 | T | C | 0.0000710 | 0.0001677 | 0.6700003 | 0.6721543 | 0.381826 | 0.2733630 | NA |
| 22 | 51186228 | rs3865766 | C | T | -0.0000113 | 0.0001634 | 0.9400001 | 0.9448496 | 0.451063 | 0.4532750 | NA |
| 22 | 51192586 | rs5771006 | G | A | -0.0001175 | 0.0002202 | 0.5900000 | 0.5935301 | 0.167620 | 0.0848642 | NA |
| 22 | 51193227 | rs34608236 | T | G | -0.0002572 | 0.0002251 | 0.2500000 | 0.2531601 | 0.168489 | 0.0692891 | NA |
| 22 | 51197266 | rs61290853 | A | G | 0.0000343 | 0.0001687 | 0.8400000 | 0.8387071 | 0.386333 | 0.4229230 | NA |
| 22 | 51198027 | rs34939255 | A | G | -0.0000884 | 0.0001910 | 0.6400000 | 0.6434527 | 0.254557 | 0.0984425 | NA |
| 22 | 51211106 | rs9628250 | T | C | -0.0001293 | 0.0001894 | 0.4899999 | 0.4946698 | 0.271547 | 0.1671330 | NA |
| 22 | 51212875 | rs2238837 | A | C | 0.0001725 | 0.0001799 | 0.3400001 | 0.3376517 | 0.331455 | 0.3724040 | NA |
| 22 | 51219006 | rs28729663 | G | A | -0.0002935 | 0.0002310 | 0.2000000 | 0.2039663 | 0.137953 | 0.2052720 | NA |
| 22 | 51237063 | rs3896457 | T | C | 0.0001277 | 0.0001842 | 0.4899999 | 0.4881319 | 0.297971 | 0.2050720 | NA |
bcf preview
1 49298 rs10399793 T C . PASS AF=0.623763 ES:SE:LP:AF:ID 0.000108807:0.000276909:0.161151:0.623763:rs10399793
1 54676 rs2462492 C T . PASS AF=0.400401 ES:SE:LP:AF:ID -8.81447e-05:0.000274329:0.124939:0.400401:rs2462492
1 91536 rs6702460 G T . PASS AF=0.456851 ES:SE:LP:AF:ID -0.000170921:0.000270115:0.275724:0.456851:rs6702460
1 534192 rs6680723 C T . PASS AF=0.24096 ES:SE:LP:AF:ID 0.000241485:0.000308539:0.366532:0.24096:rs6680723
1 706368 rs12029736 A G . PASS AF=0.51565 ES:SE:LP:AF:ID -9.94344e-05:0.000191537:0.221849:0.51565:rs12029736
1 729679 rs4951859 C G . PASS AF=0.843212 ES:SE:LP:AF:ID -0.00018727:0.000224085:0.39794:0.843212:rs4951859
1 752566 rs3094315 G A . PASS AF=0.838951 ES:SE:LP:AF:ID -9.04594e-05:0.00021701:0.167491:0.838951:rs3094315
1 752721 rs3131972 A G . PASS AF=0.83858 ES:SE:LP:AF:ID -0.000105912:0.000216777:0.200659:0.83858:rs3131972
1 754503 rs3115859 G A . PASS AF=0.838033 ES:SE:LP:AF:ID -0.000122511:0.000216175:0.244125:0.838033:rs3115859
1 754964 rs3131966 C T . PASS AF=0.838664 ES:SE:LP:AF:ID -0.000137913:0.000216783:0.283997:0.838664:rs3131966
1 755775 rs3131965 A G . PASS AF=0.839777 ES:SE:LP:AF:ID -0.000135153:0.000219715:0.267606:0.839777:rs3131965
1 760912 rs1048488 C T . PASS AF=0.838313 ES:SE:LP:AF:ID -0.000138974:0.000215765:0.283997:0.838313:rs1048488
1 761147 rs3115850 T C . PASS AF=0.838434 ES:SE:LP:AF:ID -0.00014131:0.000215917:0.29243:0.838434:rs3115850
1 761732 rs2286139 C T . PASS AF=0.862261 ES:SE:LP:AF:ID -0.000235508:0.000230673:0.508638:0.862261:rs2286139
1 763394 rs3115847 G A . PASS AF=0.706753 ES:SE:LP:AF:ID -0.00010111:0.000224559:0.187087:0.706753:rs3115847
1 768253 rs2977608 A C . PASS AF=0.761304 ES:SE:LP:AF:ID -0.000277381:0.00018328:0.886057:0.761304:rs2977608
1 776546 rs12124819 A G . PASS AF=0.26539 ES:SE:LP:AF:ID 0.00029416:0.000204727:0.823909:0.26539:rs12124819
1 787399 rs2905055 G T . PASS AF=0.86078 ES:SE:LP:AF:ID -0.000329374:0.000231492:0.823909:0.86078:rs2905055
1 787685 rs2905054 G T . PASS AF=0.861493 ES:SE:LP:AF:ID -0.000287324:0.000231645:0.677781:0.861493:rs2905054
1 795988 rs59380221 C T . PASS AF=0.143051 ES:SE:LP:AF:ID 0.000308543:0.000240108:0.69897:0.143051:rs59380221
1 798400 rs10900604 A G . PASS AF=0.20658 ES:SE:LP:AF:ID 0.000206227:0.000195526:0.537602:0.20658:rs10900604
1 798959 rs11240777 G A . PASS AF=0.206409 ES:SE:LP:AF:ID 0.000202345:0.00019561:0.522879:0.206409:rs11240777
1 808631 rs11240779 G A . PASS AF=0.772626 ES:SE:LP:AF:ID -0.000277819:0.000186077:0.853872:0.772626:rs11240779
1 808928 rs11240780 C T . PASS AF=0.772854 ES:SE:LP:AF:ID -0.000274707:0.00018639:0.853872:0.772854:rs11240780
1 814495 rs74461805 C A . PASS AF=0.340397 ES:SE:LP:AF:ID -5.21442e-05:0.000262635:0.0757207:0.340397:rs74461805
1 824398 rs7538305 A C . PASS AF=0.138697 ES:SE:LP:AF:ID 0.000374302:0.000231932:0.958607:0.138697:rs7538305
1 830181 rs28444699 A G . PASS AF=0.697259 ES:SE:LP:AF:ID -8.42712e-05:0.00017571:0.200659:0.697259:rs28444699
1 831489 rs4970385 C T . PASS AF=0.705403 ES:SE:LP:AF:ID 6.1759e-05:0.000172531:0.142668:0.705403:rs4970385
1 831909 rs9697642 C T . PASS AF=0.705448 ES:SE:LP:AF:ID 5.99313e-05:0.000172526:0.136677:0.705448:rs9697642
1 832066 rs9697380 G C . PASS AF=0.705634 ES:SE:LP:AF:ID 5.69503e-05:0.000172534:0.130768:0.705634:rs9697380
1 832318 rs4500250 C A . PASS AF=0.705662 ES:SE:LP:AF:ID 5.62805e-05:0.000172552:0.130768:0.705662:rs4500250
1 832398 rs4553118 T C . PASS AF=0.730134 ES:SE:LP:AF:ID 6.60753e-05:0.000177254:0.148742:0.730134:rs4553118
1 832918 rs28765502 T C . PASS AF=0.294371 ES:SE:LP:AF:ID -5.7233e-05:0.000172544:0.130768:0.294371:rs28765502
1 833223 rs13303211 C T . PASS AF=0.236696 ES:SE:LP:AF:ID -0.000115913:0.0001837:0.275724:0.236696:rs13303211
1 833302 rs28752186 C T . PASS AF=0.236684 ES:SE:LP:AF:ID -0.000115573:0.000183702:0.275724:0.236684:rs28752186
1 833641 rs28594623 T C . PASS AF=0.239743 ES:SE:LP:AF:ID -0.000139867:0.000183113:0.356547:0.239743:rs28594623
1 833824 rs28484835 T C . PASS AF=0.236686 ES:SE:LP:AF:ID -0.000115631:0.000183701:0.275724:0.236686:rs28484835
1 833927 rs28593608 T C . PASS AF=0.212416 ES:SE:LP:AF:ID -0.000131359:0.000190932:0.309804:0.212416:rs28593608
1 834198 rs28385272 T C . PASS AF=0.212311 ES:SE:LP:AF:ID -0.000128159:0.000190965:0.30103:0.212311:rs28385272
1 834832 rs4411087 G C . PASS AF=0.237171 ES:SE:LP:AF:ID -0.000119551:0.00018356:0.29243:0.237171:rs4411087
1 834928 rs4422949 A G . PASS AF=0.212956 ES:SE:LP:AF:ID -0.000128037:0.000190694:0.30103:0.212956:rs4422949
1 834999 rs28570054 G A . PASS AF=0.212918 ES:SE:LP:AF:ID -0.000135164:0.000190733:0.318759:0.212918:rs28570054
1 835499 rs4422948 A G . PASS AF=0.241155 ES:SE:LP:AF:ID -7.973e-05:0.000182279:0.180456:0.241155:rs4422948
1 836529 rs28731045 C G . PASS AF=0.213538 ES:SE:LP:AF:ID -0.000153327:0.000190452:0.376751:0.213538:rs28731045
1 836896 rs28705752 T C . PASS AF=0.269503 ES:SE:LP:AF:ID 1.16844e-05:0.000175885:0.0222764:0.269503:rs28705752
1 836924 rs72890788 G A . PASS AF=0.213508 ES:SE:LP:AF:ID -0.000147774:0.000190475:0.356547:0.213508:rs72890788
1 838387 rs4970384 T C . PASS AF=0.214583 ES:SE:LP:AF:ID -0.000177078:0.000190108:0.455932:0.214583:rs4970384
1 838555 rs4970383 C A . PASS AF=0.246197 ES:SE:LP:AF:ID -1.45608e-05:0.000181026:0.0268721:0.246197:rs4970383
1 839103 rs28562941 A G . PASS AF=0.27001 ES:SE:LP:AF:ID 1.26614e-05:0.000176009:0.0268721:0.27001:rs28562941
1 840753 rs4970382 T C . PASS AF=0.400106 ES:SE:LP:AF:ID -1.94627e-05:0.000159146:0.0457575:0.400106:rs4970382