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:8988,TotalVariants=9851866,VariantsNotRead=0,HarmonisedVariants=9851866,VariantsNotHarmonised=0,SwitchedAlleles=9851866,TotalControls=459078,TotalCases=3932,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_41202_K801.vcf.gz --id UKB-b:8988 --data /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukbiobank/raw-output/data.batch_41202_K801.txt.gz --cohort_cases 3932 --cohort_controls 459078 --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": "2019-09-12T20:27:09.211434",
"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-8988/mac_discard.txt -Oz /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/UKB-b-8988/UKB-b-8988_raw.vcf.gz; Date=Thu Oct 17 12:21:44 2019",
"bcftools_viewCommand.1": "view -h /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukb-b-8988/ukb-b-8988.vcf.gz; Date=Sun May 10 01:36:28 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-8988/UKB-b-8988_data.vcf.gz \
--ref-ld-chr ../reference/eur_w_ld_chr/ \
--out /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/UKB-b-8988/ldsc.txt \
--w-ld-chr ../reference/eur_w_ld_chr/
Beginning analysis at Thu Oct 17 14:42:07 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/UKB-b-8988/UKB-b-8988_data.vcf.gz ...
Read summary statistics for 4507980 SNPs.
Dropped 1039 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, 1041969 SNPs remain.
After merging with regression SNP LD, 1041969 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.0065 (0.0013)
Lambda GC: 1.0482
Mean Chi^2: 1.068
Intercept: 1.0031 (0.0088)
Ratio: 0.0454 (0.1288)
Analysis finished at Thu Oct 17 14:42:58 2019
Total time elapsed: 50.44sQC metrics
Metrics
Metrics
{
"af_correlation": 0.8932,
"inflation_factor": 1.0475,
"mean_EFFECT": 1.7962e-06,
"n": "-Inf",
"n_snps": 9851866,
"n_clumped_hits": 5,
"n_p_sig": 195,
"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": 37559,
"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": 1041969,
"ldsc_nsnp_merge_regression_ld": 1041969,
"ldsc_observed_scale_h2_beta": 0.0065,
"ldsc_observed_scale_h2_se": 0.0013,
"ldsc_intercept_beta": 1.0031,
"ldsc_intercept_se": 0.0088,
"ldsc_lambda_gc": 1.0482,
"ldsc_mean_chisq": 1.068,
"ldsc_ratio": 0.0456
}
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 | 4506948 | 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 | 4507980 | 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 | 8.658749e+00 | 5.766039e+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 | 7.858423e+07 | 5.672454e+07 | 828.0000000 | 3.172856e+07 | 6.892543e+07 | 1.147165e+08 | 2.492385e+08 | ▇▆▅▂▁ |
| numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 1.800000e-06 | 2.452000e-04 | -0.0017430 | -1.569000e-04 | 1.200000e-06 | 1.603000e-04 | 3.817300e-03 | ▁▇▁▁▁ |
| numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 2.335000e-04 | 4.140000e-05 | 0.0001839 | 1.980000e-04 | 2.193000e-04 | 2.610000e-04 | 6.726000e-04 | ▇▂▁▁▁ |
| numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.906338e-01 | 2.915302e-01 | 0.0000000 | 2.399999e-01 | 4.899999e-01 | 7.400005e-01 | 1.000000e+00 | ▇▇▇▇▇ |
| numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.906353e-01 | 2.915047e-01 | 0.0000000 | 2.355936e-01 | 4.882781e-01 | 7.433017e-01 | 9.999999e-01 | ▇▇▇▇▇ |
| numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 3.725698e-01 | 2.271908e-01 | 0.0890140 | 1.756280e-01 | 3.156360e-01 | 5.361920e-01 | 9.109860e-01 | ▇▅▃▂▂ |
| numeric | AF_reference | 37559 | 0.9916683 | NA | NA | NA | NA | NA | NA | NA | 3.639476e-01 | 2.269571e-01 | 0.0000000 | 1.767170e-01 | 3.150960e-01 | 5.245610e-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 | 0.0005739 | 0.0003385 | 0.0899995 | 0.0899663 | 0.623765 | 0.7821490 | NA |
| 1 | 54676 | rs2462492 | C | T | -0.0005469 | 0.0003353 | 0.1000000 | 0.1028487 | 0.400401 | NA | NA |
| 1 | 86028 | rs114608975 | T | C | 0.0004757 | 0.0005361 | 0.3700002 | 0.3748563 | 0.103556 | 0.0277556 | NA |
| 1 | 91536 | rs6702460 | G | T | -0.0001466 | 0.0003301 | 0.6600001 | 0.6569986 | 0.456846 | 0.4207270 | NA |
| 1 | 534192 | rs6680723 | C | T | -0.0007138 | 0.0003771 | 0.0580003 | 0.0583906 | 0.240959 | NA | NA |
| 1 | 693731 | rs12238997 | A | G | -0.0000927 | 0.0003160 | 0.7700005 | 0.7693199 | 0.116329 | 0.1417730 | NA |
| 1 | 706368 | rs55727773 | A | G | 0.0006673 | 0.0002341 | 0.0044000 | 0.0043630 | 0.515645 | 0.2751600 | NA |
| 1 | 722670 | rs116030099 | T | C | -0.0000683 | 0.0003863 | 0.8600001 | 0.8596987 | 0.101200 | 0.0413339 | NA |
| 1 | 729679 | rs4951859 | C | G | 0.0003073 | 0.0002739 | 0.2599998 | 0.2618946 | 0.843204 | 0.6399760 | NA |
| 1 | 731718 | rs142557973 | T | C | -0.0001431 | 0.0002998 | 0.6300007 | 0.6331433 | 0.122312 | 0.1543530 | NA |
| CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 22 | 51198027 | rs34939255 | A | G | -0.0000333 | 0.0002335 | 0.8900000 | 0.8865701 | 0.254562 | 0.0984425 | NA |
| 22 | 51208537 | rs72619593 | G | A | -0.0000601 | 0.0003121 | 0.8499999 | 0.8473381 | 0.120735 | 0.1142170 | NA |
| 22 | 51210289 | rs112565862 | C | T | 0.0000111 | 0.0003108 | 0.9699999 | 0.9714077 | 0.129958 | 0.1018370 | NA |
| 22 | 51211106 | rs9628250 | T | C | -0.0001192 | 0.0002315 | 0.6100002 | 0.6064986 | 0.271547 | 0.1671330 | NA |
| 22 | 51211392 | rs3888396 | T | C | -0.0000343 | 0.0003080 | 0.9100000 | 0.9113647 | 0.132638 | 0.1641370 | NA |
| 22 | 51212875 | rs2238837 | A | C | 0.0003871 | 0.0002199 | 0.0779992 | 0.0784008 | 0.331457 | 0.3724040 | NA |
| 22 | 51213613 | rs34726907 | C | T | -0.0000664 | 0.0002898 | 0.8200001 | 0.8187684 | 0.127814 | 0.1727240 | NA |
| 22 | 51216564 | rs9616970 | T | C | -0.0000625 | 0.0002885 | 0.8300000 | 0.8284859 | 0.128328 | 0.1563500 | NA |
| 22 | 51219006 | rs28729663 | G | A | -0.0001042 | 0.0002824 | 0.7099994 | 0.7121629 | 0.137950 | 0.2052720 | NA |
| 22 | 51237063 | rs3896457 | T | C | 0.0002321 | 0.0002251 | 0.2999998 | 0.3026233 | 0.297974 | 0.2050720 | NA |
bcf preview
1 49298 rs10399793 T C . PASS AF=0.623765 ES:SE:LP:AF:ID 0.000573871:0.000338452:1.04576:0.623765:rs10399793
1 54676 rs2462492 C T . PASS AF=0.400401 ES:SE:LP:AF:ID -0.000546942:0.000335301:1:0.400401:rs2462492
1 86028 rs114608975 T C . PASS AF=0.103556 ES:SE:LP:AF:ID 0.000475722:0.000536077:0.431798:0.103556:rs114608975
1 91536 rs6702460 G T . PASS AF=0.456846 ES:SE:LP:AF:ID -0.000146604:0.000330144:0.180456:0.456846:rs6702460
1 534192 rs6680723 C T . PASS AF=0.240959 ES:SE:LP:AF:ID -0.000713782:0.000377113:1.23657:0.240959:rs6680723
1 693731 rs12238997 A G . PASS AF=0.116329 ES:SE:LP:AF:ID -9.2681e-05:0.000316032:0.113509:0.116329:rs12238997
1 706368 rs12029736 A G . PASS AF=0.515645 ES:SE:LP:AF:ID 0.000667348:0.000234104:2.35655:0.515645:rs12029736
1 722670 rs116030099 T C . PASS AF=0.1012 ES:SE:LP:AF:ID -6.82739e-05:0.000386257:0.0655015:0.1012:rs116030099
1 729679 rs4951859 C G . PASS AF=0.843204 ES:SE:LP:AF:ID 0.000307276:0.000273883:0.585027:0.843204:rs4951859
1 731718 rs58276399 T C . PASS AF=0.122312 ES:SE:LP:AF:ID -0.000143091:0.000299788:0.200659:0.122312:rs58276399
1 734349 rs141242758 T C . PASS AF=0.121554 ES:SE:LP:AF:ID -0.000139366:0.000299914:0.19382:0.121554:rs141242758
1 736289 rs79010578 T A . PASS AF=0.132335 ES:SE:LP:AF:ID -0.000391167:0.000295595:0.721246:0.132335:rs79010578
1 752566 rs3094315 G A . PASS AF=0.838945 ES:SE:LP:AF:ID 0.000248881:0.000265237:0.455932:0.838945:rs3094315
1 752721 rs3131972 A G . PASS AF=0.838573 ES:SE:LP:AF:ID 0.00025189:0.000264951:0.468521:0.838573:rs3131972
1 753405 rs3115860 C A . PASS AF=0.869776 ES:SE:LP:AF:ID 0.000178862:0.000284302:0.275724:0.869776:rs3115860
1 753541 rs2073813 G A . PASS AF=0.129876 ES:SE:LP:AF:ID -0.000148281:0.000284884:0.221849:0.129876:rs2073813
1 754182 rs3131969 A G . PASS AF=0.869117 ES:SE:LP:AF:ID 0.000178885:0.000283745:0.275724:0.869117:rs3131969
1 754192 rs3131968 A G . PASS AF=0.869215 ES:SE:LP:AF:ID 0.000183964:0.000283858:0.283997:0.869215:rs3131968
1 754334 rs3131967 T C . PASS AF=0.869121 ES:SE:LP:AF:ID 0.000178695:0.00028374:0.275724:0.869121:rs3131967
1 754503 rs3115859 G A . PASS AF=0.838026 ES:SE:LP:AF:ID 0.000261235:0.000264216:0.49485:0.838026:rs3115859
1 754964 rs3131966 C T . PASS AF=0.838657 ES:SE:LP:AF:ID 0.000264763:0.000264959:0.49485:0.838657:rs3131966
1 755775 rs3131965 A G . PASS AF=0.83977 ES:SE:LP:AF:ID 0.000297734:0.000268542:0.568636:0.83977:rs3131965
1 755890 rs3115858 A T . PASS AF=0.8694 ES:SE:LP:AF:ID 0.000173406:0.000283411:0.267606:0.8694:rs3115858
1 756604 rs3131962 A G . PASS AF=0.868947 ES:SE:LP:AF:ID 0.000157618:0.000282698:0.236572:0.868947:rs3131962
1 757640 rs3115853 G A . PASS AF=0.867898 ES:SE:LP:AF:ID 0.000150148:0.000282156:0.229148:0.867898:rs3115853
1 757734 rs4951929 C T . PASS AF=0.86909 ES:SE:LP:AF:ID 0.000154994:0.00028293:0.236572:0.86909:rs4951929
1 757936 rs4951862 C A . PASS AF=0.869098 ES:SE:LP:AF:ID 0.000155057:0.000282951:0.236572:0.869098:rs4951862
1 758144 rs3131956 A G . PASS AF=0.869106 ES:SE:LP:AF:ID 0.000155011:0.000282958:0.236572:0.869106:rs3131956
1 758626 rs3131954 C T . PASS AF=0.869584 ES:SE:LP:AF:ID 0.000167819:0.000283735:0.259637:0.869584:rs3131954
1 760912 rs1048488 C T . PASS AF=0.838306 ES:SE:LP:AF:ID 0.000258383:0.000263715:0.481486:0.838306:rs1048488
1 761147 rs3115850 T C . PASS AF=0.838427 ES:SE:LP:AF:ID 0.000252797:0.000263901:0.468521:0.838427:rs3115850
1 761732 rs2286139 C T . PASS AF=0.862254 ES:SE:LP:AF:ID 0.000255778:0.000281935:0.443698:0.862254:rs2286139
1 763394 rs3115847 G A . PASS AF=0.706753 ES:SE:LP:AF:ID 0.00015455:0.000274465:0.244125:0.706753:rs3115847
1 766007 rs61768174 A C . PASS AF=0.105145 ES:SE:LP:AF:ID -0.000240321:0.000316178:0.346787:0.105145:rs61768174
1 768253 rs2977608 A C . PASS AF=0.761297 ES:SE:LP:AF:ID 0.000141307:0.000224011:0.275724:0.761297:rs2977608
1 768448 rs12562034 G A . PASS AF=0.10649 ES:SE:LP:AF:ID -6.11023e-05:0.000308757:0.0757207:0.10649:rs12562034
1 769223 rs60320384 C G . PASS AF=0.129581 ES:SE:LP:AF:ID -0.000138689:0.000284714:0.200659:0.129581:rs60320384
1 771823 rs2977605 T C . PASS AF=0.868906 ES:SE:LP:AF:ID 0.000170083:0.000283193:0.259637:0.868906:rs2977605
1 771967 rs59066358 G A . PASS AF=0.129682 ES:SE:LP:AF:ID -0.000137413:0.00028453:0.200659:0.129682:rs59066358
1 772755 rs2905039 A C . PASS AF=0.868916 ES:SE:LP:AF:ID 0.000178155:0.000283199:0.275724:0.868916:rs2905039
1 776546 rs12124819 A G . PASS AF=0.265385 ES:SE:LP:AF:ID -0.000195119:0.000250229:0.356547:0.265385:rs12124819
1 777122 rs2980319 A T . PASS AF=0.870039 ES:SE:LP:AF:ID 0.000123335:0.000283776:0.180456:0.870039:rs2980319
1 777232 rs112618790 C T . PASS AF=0.095141 ES:SE:LP:AF:ID -9.07281e-05:0.000328892:0.107905:0.095141:rs112618790
1 778745 rs1055606 A G . PASS AF=0.12858 ES:SE:LP:AF:ID -0.000100443:0.000284897:0.142668:0.12858:rs1055606
1 779322 rs4040617 A G . PASS AF=0.128877 ES:SE:LP:AF:ID -0.000122926:0.000284413:0.173925:0.128877:rs4040617
1 780785 rs2977612 T A . PASS AF=0.86878 ES:SE:LP:AF:ID 0.000158331:0.000283019:0.236572:0.86878:rs2977612
1 781845 rs61768199 A G . PASS AF=0.101873 ES:SE:LP:AF:ID -0.000260815:0.000320688:0.376751:0.101873:rs61768199
1 782981 rs6594026 C T . PASS AF=0.129518 ES:SE:LP:AF:ID -0.000138166:0.000284322:0.200659:0.129518:rs6594026
1 785050 rs2905062 G A . PASS AF=0.868533 ES:SE:LP:AF:ID 0.00015782:0.000282953:0.236572:0.868533:rs2905062
1 785989 rs2980300 T C . PASS AF=0.868474 ES:SE:LP:AF:ID 0.000146488:0.000283129:0.221849:0.868474:rs2980300