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:4394,TotalVariants=9851866,VariantsNotRead=0,HarmonisedVariants=9851866,VariantsNotHarmonised=0,SwitchedAlleles=9851866,TotalControls=456114,TotalCases=5036,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_41245_1500.vcf.gz --id UKB-b:4394 --data /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukbiobank/raw-output/data.batch_41245_1500.txt.gz --cohort_cases 5036 --cohort_controls 456114 --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": "2019-09-13T13:14:34.406938",
"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-4394/mac_discard.txt -Oz /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/UKB-b-4394/UKB-b-4394_raw.vcf.gz; Date=Thu Oct 17 12:43:01 2019",
"bcftools_viewCommand.1": "view -h /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukb-b-4394/ukb-b-4394.vcf.gz; Date=Sun May 10 13:45:27 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-4394/UKB-b-4394_data.vcf.gz \
--ref-ld-chr ../reference/eur_w_ld_chr/ \
--out /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/UKB-b-4394/ldsc.txt \
--w-ld-chr ../reference/eur_w_ld_chr/
Beginning analysis at Thu Oct 17 14:44:13 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/UKB-b-4394/UKB-b-4394_data.vcf.gz ...
Read summary statistics for 4915684 SNPs.
Dropped 1356 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, 1104150 SNPs remain.
After merging with regression SNP LD, 1104150 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.0015 (0.0012)
Lambda GC: 1.0226
Mean Chi^2: 1.0271
Intercept: 1.0121 (0.0074)
Ratio: 0.4452 (0.2739)
Analysis finished at Thu Oct 17 14:45:12 2019
Total time elapsed: 58.72sQC metrics
Metrics
Metrics
{
"af_correlation": 0.9044,
"inflation_factor": 1.0475,
"mean_EFFECT": -1.7273e-06,
"n": "-Inf",
"n_snps": 9851866,
"n_clumped_hits": 1,
"n_p_sig": 140,
"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": 41775,
"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": 1104150,
"ldsc_nsnp_merge_regression_ld": 1104150,
"ldsc_observed_scale_h2_beta": 0.0015,
"ldsc_observed_scale_h2_se": 0.0012,
"ldsc_intercept_beta": 1.0121,
"ldsc_intercept_se": 0.0074,
"ldsc_lambda_gc": 1.0226,
"ldsc_mean_chisq": 1.0271,
"ldsc_ratio": 0.4465
}
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 | 4914337 | 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 | 4915684 | 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 | 8.666274e+00 | 5.766220e+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 | 7.858638e+07 | 5.666070e+07 | 828.0000000 | 3.187246e+07 | 6.895543e+07 | 1.146548e+08 | 2.492385e+08 | ▇▆▅▂▁ |
| numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | -1.700000e-06 | 2.875000e-04 | -0.0019842 | -1.853000e-04 | -8.000000e-07 | 1.823000e-04 | 2.244700e-03 | ▁▂▇▁▁ |
| numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 2.768000e-04 | 5.950000e-05 | 0.0002089 | 2.263000e-04 | 2.557000e-04 | 3.152000e-04 | 7.932000e-04 | ▇▂▁▁▁ |
| numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.950815e-01 | 2.901773e-01 | 0.0000000 | 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 | 4.950841e-01 | 2.901530e-01 | 0.0000000 | 2.427611e-01 | 4.936644e-01 | 7.462954e-01 | 9.999998e-01 | ▇▇▇▇▇ |
| numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 3.553416e-01 | 2.366341e-01 | 0.0695000 | 1.512450e-01 | 2.913545e-01 | 5.216850e-01 | 9.305000e-01 | ▇▅▃▂▂ |
| numeric | AF_reference | 41775 | 0.9915017 | NA | NA | NA | NA | NA | NA | NA | 3.483653e-01 | 2.338527e-01 | 0.0000000 | 1.553510e-01 | 2.929310e-01 | 5.107830e-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 | 0.0001211 | 0.0003844 | 0.7499995 | 0.7527832 | 0.623775 | 0.7821490 | NA |
| 1 | 54676 | rs2462492 | C | T | -0.0002825 | 0.0003809 | 0.4600002 | 0.4583038 | 0.400406 | NA | NA |
| 1 | 86028 | rs114608975 | T | C | -0.0005143 | 0.0006089 | 0.4000000 | 0.3983589 | 0.103554 | 0.0277556 | NA |
| 1 | 91536 | rs6702460 | G | T | 0.0006123 | 0.0003750 | 0.1000000 | 0.1025120 | 0.456855 | 0.4207270 | NA |
| 1 | 234313 | rs8179466 | C | T | -0.0000558 | 0.0007393 | 0.9400001 | 0.9398521 | 0.074512 | NA | NA |
| 1 | 534192 | rs6680723 | C | T | 0.0011184 | 0.0004283 | 0.0089999 | 0.0090291 | 0.240946 | NA | NA |
| 1 | 546697 | rs12025928 | A | G | -0.0002335 | 0.0005344 | 0.6600001 | 0.6621036 | 0.913470 | NA | NA |
| 1 | 693731 | rs12238997 | A | G | -0.0000042 | 0.0003590 | 0.9900000 | 0.9906266 | 0.116328 | 0.1417730 | NA |
| 1 | 706368 | rs55727773 | A | G | -0.0003741 | 0.0002659 | 0.1600000 | 0.1595305 | 0.515667 | 0.2751600 | NA |
| 1 | 722670 | rs116030099 | T | C | -0.0000807 | 0.0004387 | 0.8499999 | 0.8540373 | 0.101206 | 0.0413339 | NA |
| CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 22 | 51213613 | rs34726907 | C | T | -0.0001253 | 0.0003291 | 0.6999999 | 0.7033793 | 0.127810 | 0.1727240 | NA |
| 22 | 51216564 | rs9616970 | T | C | -0.0001280 | 0.0003277 | 0.6999999 | 0.6961186 | 0.128321 | 0.1563500 | NA |
| 22 | 51217954 | rs9616974 | G | A | 0.0000743 | 0.0004158 | 0.8600001 | 0.8582621 | 0.073299 | 0.0621006 | NA |
| 22 | 51218224 | rs9616975 | C | A | 0.0000709 | 0.0004160 | 0.8600001 | 0.8647606 | 0.073320 | 0.0619010 | NA |
| 22 | 51218377 | rs2519461 | G | C | 0.0001195 | 0.0004155 | 0.7700005 | 0.7736481 | 0.073607 | 0.0826677 | NA |
| 22 | 51219006 | rs28729663 | G | A | -0.0000423 | 0.0003208 | 0.9000000 | 0.8952074 | 0.137943 | 0.2052720 | NA |
| 22 | 51219387 | rs9616832 | T | C | 0.0001172 | 0.0004163 | 0.7800007 | 0.7783838 | 0.073732 | 0.0654952 | NA |
| 22 | 51221731 | rs115055839 | T | C | 0.0000805 | 0.0004166 | 0.8499999 | 0.8468727 | 0.073222 | 0.0625000 | NA |
| 22 | 51229805 | rs9616985 | T | C | 0.0000832 | 0.0004181 | 0.8400000 | 0.8422960 | 0.073059 | 0.0730831 | NA |
| 22 | 51237063 | rs3896457 | T | C | -0.0002089 | 0.0002557 | 0.4100001 | 0.4140518 | 0.297982 | 0.2050720 | NA |
bcf preview
1 49298 rs10399793 T C . PASS AF=0.623775 ES:SE:LP:AF:ID 0.000121071:0.000384387:0.124939:0.623775:rs10399793
1 54676 rs2462492 C T . PASS AF=0.400406 ES:SE:LP:AF:ID -0.000282488:0.000380895:0.337242:0.400406:rs2462492
1 86028 rs114608975 T C . PASS AF=0.103554 ES:SE:LP:AF:ID -0.000514288:0.000608945:0.39794:0.103554:rs114608975
1 91536 rs6702460 G T . PASS AF=0.456855 ES:SE:LP:AF:ID 0.000612269:0.000374982:1:0.456855:rs6702460
1 234313 rs8179466 C T . PASS AF=0.074512 ES:SE:LP:AF:ID -5.57874e-05:0.000739339:0.0268721:0.074512:rs8179466
1 534192 rs6680723 C T . PASS AF=0.240946 ES:SE:LP:AF:ID 0.00111839:0.000428346:2.04576:0.240946:rs6680723
1 546697 rs12025928 A G . PASS AF=0.91347 ES:SE:LP:AF:ID -0.000233521:0.00053436:0.180456:0.91347:rs12025928
1 693731 rs12238997 A G . PASS AF=0.116328 ES:SE:LP:AF:ID -4.21739e-06:0.000358985:0.00436481:0.116328:rs12238997
1 706368 rs12029736 A G . PASS AF=0.515667 ES:SE:LP:AF:ID -0.000374064:0.000265925:0.79588:0.515667:rs12029736
1 722670 rs116030099 T C . PASS AF=0.101206 ES:SE:LP:AF:ID -8.07126e-05:0.000438728:0.0705811:0.101206:rs116030099
1 729679 rs4951859 C G . PASS AF=0.843192 ES:SE:LP:AF:ID -4.04839e-05:0.000311096:0.0457575:0.843192:rs4951859
1 731718 rs58276399 T C . PASS AF=0.122317 ES:SE:LP:AF:ID -3.96786e-05:0.000340528:0.0409586:0.122317:rs58276399
1 734349 rs141242758 T C . PASS AF=0.12156 ES:SE:LP:AF:ID -2.63933e-05:0.00034067:0.0268721:0.12156:rs141242758
1 736289 rs79010578 T A . PASS AF=0.13234 ES:SE:LP:AF:ID 2.67176e-05:0.00033577:0.0268721:0.13234:rs79010578
1 752566 rs3094315 G A . PASS AF=0.838936 ES:SE:LP:AF:ID 3.17388e-05:0.000301276:0.0362122:0.838936:rs3094315
1 752721 rs3131972 A G . PASS AF=0.838563 ES:SE:LP:AF:ID 2.398e-05:0.000300951:0.0268721:0.838563:rs3131972
1 753405 rs3115860 C A . PASS AF=0.869773 ES:SE:LP:AF:ID 0.000105192:0.000322937:0.130768:0.869773:rs3115860
1 753541 rs2073813 G A . PASS AF=0.129881 ES:SE:LP:AF:ID -0.00011846:0.000323591:0.148742:0.129881:rs2073813
1 754182 rs3131969 A G . PASS AF=0.869113 ES:SE:LP:AF:ID 9.10175e-05:0.000322302:0.107905:0.869113:rs3131969
1 754192 rs3131968 A G . PASS AF=0.869211 ES:SE:LP:AF:ID 8.30381e-05:0.000322429:0.09691:0.869211:rs3131968
1 754334 rs3131967 T C . PASS AF=0.869116 ES:SE:LP:AF:ID 8.97518e-05:0.000322296:0.107905:0.869116:rs3131967
1 754503 rs3115859 G A . PASS AF=0.838016 ES:SE:LP:AF:ID 1.85944e-05:0.000300116:0.0222764:0.838016:rs3115859
1 754964 rs3131966 C T . PASS AF=0.838647 ES:SE:LP:AF:ID 2.19605e-05:0.000300959:0.0268721:0.838647:rs3131966
1 755775 rs3131965 A G . PASS AF=0.839761 ES:SE:LP:AF:ID 2.65471e-05:0.000305032:0.0315171:0.839761:rs3131965
1 755890 rs3115858 A T . PASS AF=0.869398 ES:SE:LP:AF:ID 0.000102243:0.000321926:0.124939:0.869398:rs3115858
1 756604 rs3131962 A G . PASS AF=0.868947 ES:SE:LP:AF:ID 9.88276e-05:0.000321119:0.119186:0.868947:rs3131962
1 757640 rs3115853 G A . PASS AF=0.867897 ES:SE:LP:AF:ID 9.7289e-05:0.000320499:0.119186:0.867897:rs3115853
1 757734 rs4951929 C T . PASS AF=0.86909 ES:SE:LP:AF:ID 0.000113036:0.00032138:0.136677:0.86909:rs4951929
1 757936 rs4951862 C A . PASS AF=0.869098 ES:SE:LP:AF:ID 0.00011317:0.000321405:0.142668:0.869098:rs4951862
1 758144 rs3131956 A G . PASS AF=0.869106 ES:SE:LP:AF:ID 0.000112274:0.000321413:0.136677:0.869106:rs3131956
1 758626 rs3131954 C T . PASS AF=0.869582 ES:SE:LP:AF:ID 0.000102972:0.000322292:0.124939:0.869582:rs3131954
1 760912 rs1048488 C T . PASS AF=0.838296 ES:SE:LP:AF:ID 1.7725e-05:0.000299545:0.0222764:0.838296:rs1048488
1 761147 rs3115850 T C . PASS AF=0.838417 ES:SE:LP:AF:ID 1.20417e-05:0.000299757:0.0132283:0.838417:rs3115850
1 761732 rs2286139 C T . PASS AF=0.862253 ES:SE:LP:AF:ID 5.09609e-05:0.000320246:0.0604807:0.862253:rs2286139
1 763394 rs3115847 G A . PASS AF=0.706759 ES:SE:LP:AF:ID -0.000319228:0.000311769:0.508638:0.706759:rs3115847
1 766007 rs61768174 A C . PASS AF=0.105133 ES:SE:LP:AF:ID -0.000132989:0.000359165:0.148742:0.105133:rs61768174
1 768253 rs2977608 A C . PASS AF=0.761332 ES:SE:LP:AF:ID 0.000147363:0.000254472:0.251812:0.761332:rs2977608
1 768448 rs12562034 G A . PASS AF=0.106459 ES:SE:LP:AF:ID -0.000154656:0.000350755:0.180456:0.106459:rs12562034
1 769223 rs60320384 C G . PASS AF=0.129577 ES:SE:LP:AF:ID -0.000128303:0.000323407:0.161151:0.129577:rs60320384
1 771823 rs2977605 T C . PASS AF=0.868909 ES:SE:LP:AF:ID 0.000119255:0.000321682:0.148742:0.868909:rs2977605
1 771967 rs59066358 G A . PASS AF=0.129679 ES:SE:LP:AF:ID -0.000123658:0.000323198:0.154902:0.129679:rs59066358
1 772755 rs2905039 A C . PASS AF=0.868919 ES:SE:LP:AF:ID 0.000109112:0.000321689:0.136677:0.868919:rs2905039
1 776546 rs12124819 A G . PASS AF=0.265363 ES:SE:LP:AF:ID 0.000385808:0.00028422:0.769551:0.265363:rs12124819
1 777122 rs2980319 A T . PASS AF=0.870038 ES:SE:LP:AF:ID 0.000110977:0.000322343:0.136677:0.870038:rs2980319
1 777232 rs112618790 C T . PASS AF=0.095121 ES:SE:LP:AF:ID -0.000484937:0.000373614:0.721246:0.095121:rs112618790
1 778745 rs1055606 A G . PASS AF=0.128579 ES:SE:LP:AF:ID -0.0001016:0.000323612:0.124939:0.128579:rs1055606
1 779322 rs4040617 A G . PASS AF=0.128878 ES:SE:LP:AF:ID -0.00011923:0.000323062:0.148742:0.128878:rs4040617
1 780785 rs2977612 T A . PASS AF=0.868779 ES:SE:LP:AF:ID 8.57086e-05:0.000321481:0.102373:0.868779:rs2977612
1 781845 rs61768199 A G . PASS AF=0.101866 ES:SE:LP:AF:ID -9.50107e-05:0.000364288:0.102373:0.101866:rs61768199
1 782981 rs6594026 C T . PASS AF=0.12952 ES:SE:LP:AF:ID -0.000109745:0.000322957:0.136677:0.12952:rs6594026