manhattan_plot
qq_plot
af_plot
pz_plot
beta_std_plot
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"Gwas2VCF_command": "--data /data/cromwell-executions/qc/fef6f54f-8e04-45bf-814f-90d7e04a52a2/call-vcf/inputs/-674580006/upload.txt.gz --id ieu-b-8 --json /data/cromwell-executions/qc/fef6f54f-8e04-45bf-814f-90d7e04a52a2/call-vcf/inputs/-674580006/ieu-b-8_data.json --ref /data/cromwell-executions/qc/fef6f54f-8e04-45bf-814f-90d7e04a52a2/call-vcf/inputs/1899004205/human_g1k_v37.fasta --dbsnp /data/cromwell-executions/qc/fef6f54f-8e04-45bf-814f-90d7e04a52a2/call-vcf/inputs/-307190728/dbsnp.v153.b37.vcf.gz --out /data/igd/ieu-b-8/ieu-b-8.vcf.gz --rm_chr_prefix --cohort_cases 15212 --cohort_controls 29677; 1.2.1",
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}
*********************************************************************
* 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 /data/cromwell-executions/qc/fef6f54f-8e04-45bf-814f-90d7e04a52a2/call-ldsc/inputs/-674580006/ieu-b-8.vcf.gz \
--ref-ld-chr /data/ref/eur_w_ld_chr/ \
--out /data/igd/ieu-b-8/ldsc.txt \
--w-ld-chr /data/ref/eur_w_ld_chr/
Beginning analysis at Fri Jun 26 15:27:17 2020
Reading summary statistics from /data/cromwell-executions/qc/fef6f54f-8e04-45bf-814f-90d7e04a52a2/call-ldsc/inputs/-674580006/ieu-b-8.vcf.gz ...
Read summary statistics for 4880479 SNPs.
Dropped 11459 SNPs with duplicated rs numbers.
Reading reference panel LD Score from /data/ref/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 /data/ref/eur_w_ld_chr/[1-22] ...
Read regression weight LD Scores for 1290028 SNPs.
After merging with reference panel LD, 932586 SNPs remain.
After merging with regression SNP LD, 932586 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.1042 (0.0166)
Lambda GC: 1.2631
Mean Chi^2: 1.2708
Intercept: 1.168 (0.0106)
Ratio: 0.6205 (0.0392)
Analysis finished at Fri Jun 26 15:28:13 2020
Total time elapsed: 56.19s{
"af_correlation": 0.9391,
"inflation_factor": 1.2544,
"mean_EFFECT": 0.0002,
"n": "-Inf",
"n_snps": 4880492,
"n_clumped_hits": 3,
"n_p_sig": 118,
"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": 29052,
"n_est": "NA",
"ratio_se_n": "NA",
"mean_diff": "NaN",
"ratio_diff": "NaN",
"sd_y_est1": "NA",
"sd_y_est2": "NA",
"r2_sum1": 0,
"r2_sum2": 0,
"r2_sum3": 0,
"r2_sum4": 0,
"ldsc_nsnp_merge_refpanel_ld": 932586,
"ldsc_nsnp_merge_regression_ld": 932586,
"ldsc_observed_scale_h2_beta": 0.1042,
"ldsc_observed_scale_h2_se": 0.0166,
"ldsc_intercept_beta": 1.168,
"ldsc_intercept_se": 0.0106,
"ldsc_lambda_gc": 1.2631,
"ldsc_mean_chisq": 1.2708,
"ldsc_ratio": 0.6204
}
| name | value |
|---|---|
| name | value |
| af_correlation | FALSE |
| inflation_factor | TRUE |
| 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 | TRUE |
| ldsc_intercept_beta | FALSE |
| n_clumped_hits | FALSE |
| r2_sum1 | FALSE |
| r2_sum2 | FALSE |
| r2_sum3 | FALSE |
| r2_sum4 | FALSE |
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×N×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, ˆn.ratio_se_n: ratio_se_n=√ˆn√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: mean_diff=∑j^βstdj−βjn_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.- ^βstdj=√z2j/(z2j+n−2)2×MAFj×(1−MAFj)×sign(zj),
- zj=βjsej,
- and βj is the reported effect size.
ratio_diff: ratio_diff=|mean_diffmean_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.- mean_diff2=∑j^βstdj−β′jn_snps
- β′j=βj^sd2y
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.- ^sd1y=√n×median(sej)C,
- C=median(1√2×MAFj×(1−MAFj)),
- and sej 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.- ^sd2y=median(^sdj),
- ^sdj=βj^βstdj,
r2 metrics
Sum of variance explained, calculated from the clumped top hits sample.
r2_sum<*>:r2statistics under various assumptions1: r2=∑j2×β2j×MAFj×(1−MAFj)var1, var1=1.2: r2=∑j2×β2j×MAFj×(1−MAFj)var2, var2=^sd1y2,3: r2=∑j2×β2j×MAFj×(1−MAFj)var3, var3=^sd2y2,4: r2=∑jFjFj+n−2, F=β2jse2j.
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 χ2 statistics.ldsc_ratio: ldsc_intercept_beta−1ldsc_mean_chisq−1, the proportion of the inflation in the mean χ2 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 h2 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: −log5×10−810
- Blue line: −log5×10−510
- QQ plot
- AF plot
- P-Z plot
- beta_std plot: Scatter plot between ^βstdj and βj
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | 1 | 0.9999998 | 3 | 35 | 0 | 4880489 | 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 | 4880492 | 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 | 8.643045e+00 | 5.873503e+00 | 1.00000e+00 | 4.000000e+00 | 8.000000e+00 | 1.300000e+01 | 2.30000e+01 | ▇▅▅▂▂ |
| numeric | POS | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 7.987905e+07 | 5.500345e+07 | 3.30120e+04 | 3.486021e+07 | 7.141238e+07 | 1.144980e+08 | 2.49219e+08 | ▇▇▅▂▁ |
| numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 1.621000e-04 | 1.427390e-02 | -1.20622e-01 | -7.694700e-03 | 1.820000e-05 | 7.861200e-03 | 1.72556e-01 | ▁▅▇▁▁ |
| numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 1.162850e-02 | 5.518900e-03 | 7.19060e-03 | 7.759800e-03 | 9.390500e-03 | 1.336680e-02 | 7.19243e-02 | ▇▁▁▁▁ |
| numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.633444e-01 | 2.974830e-01 | 0.00000e+00 | 1.971002e-01 | 4.500005e-01 | 7.199992e-01 | 1.00000e+00 | ▇▆▆▆▆ |
| numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 4.633493e-01 | 2.974842e-01 | 0.00000e+00 | 1.970509e-01 | 4.502473e-01 | 7.203435e-01 | 1.00000e+00 | ▇▆▆▆▆ |
| numeric | AF | 0 | 1.0000000 | NA | NA | NA | NA | NA | NA | NA | 3.044716e-01 | 2.572226e-01 | 2.80000e-03 | 8.810000e-02 | 2.228000e-01 | 4.723000e-01 | 9.90000e-01 | ▇▃▂▂▁ |
| numeric | AF_reference | 29052 | 0.9940473 | NA | NA | NA | NA | NA | NA | NA | 3.064329e-01 | 2.468090e-01 | 1.99700e-04 | 1.030350e-01 | 2.344250e-01 | 4.658550e-01 | 1.00000e+00 | ▇▅▃▂▁ |
| CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
| 1 | 1029805 | rs6689308 | A | G | 0.0046683 | 0.0096853 | 0.6300007 | 0.6298059 | 0.1695 | 0.315695 | NA |
| 1 | 1031973 | rs9651270 | C | T | 0.0081627 | 0.0100156 | 0.4151997 | 0.4150720 | 0.1614 | 0.310703 | NA |
| 1 | 1033596 | rs6604964 | T | C | 0.0081661 | 0.0100198 | 0.4151997 | 0.4150744 | 0.1613 | 0.311701 | NA |
| 1 | 1033670 | rs6604966 | T | C | 0.0075903 | 0.0100268 | 0.4492003 | 0.4490509 | 0.1612 | 0.315895 | NA |
| 1 | 1033680 | rs6604967 | T | A | 0.0074992 | 0.0100256 | 0.4545995 | 0.4544589 | 0.1612 | 0.311701 | NA |
| 1 | 1033994 | rs6698368 | C | T | 0.0075294 | 0.0100258 | 0.4527005 | 0.4526512 | 0.1612 | 0.311502 | NA |
| 1 | 1034200 | rs77977351 | T | C | 0.0078305 | 0.0100262 | 0.4346003 | 0.4348020 | 0.1612 | 0.311502 | NA |
| 1 | 1036860 | rs11579922 | A | C | -0.0049122 | 0.0108918 | 0.6515999 | 0.6519890 | 0.1304 | 0.282748 | NA |
| 1 | 1036959 | rs11579015 | T | C | -0.0142564 | 0.0113236 | 0.2079998 | 0.2080307 | 0.1165 | 0.156949 | NA |
| 1 | 1037303 | rs11260592 | T | C | 0.0008073 | 0.0103497 | 0.9379999 | 0.9378281 | 0.1433 | 0.282548 | NA |
| CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
| 23 | 139277416 | rs435268 | G | A | 0.0154301 | 0.0073268 | 0.0352298 | 0.0352048 | 0.4886 | 0.650861 | NA |
| 23 | 139279657 | rs369604 | G | A | 0.0171617 | 0.0072473 | 0.0178698 | 0.0178845 | 0.4477 | 0.442384 | NA |
| 23 | 139279671 | rs382435 | A | G | 0.0188326 | 0.0073023 | 0.0099010 | 0.0099088 | 0.4494 | 0.435762 | NA |
| 23 | 139279881 | rs414554 | C | G | 0.0144002 | 0.0072986 | 0.0484998 | 0.0484955 | 0.4962 | 0.655894 | NA |
| 23 | 139282091 | rs426349 | C | T | 0.0160941 | 0.0073188 | 0.0278702 | 0.0278776 | 0.4862 | 0.471788 | NA |
| 23 | 139282915 | rs419307 | C | T | 0.0139442 | 0.0072475 | 0.0543400 | 0.0543537 | 0.4873 | 0.539868 | NA |
| 23 | 139284404 | rs430026 | G | A | 0.0161309 | 0.0074473 | 0.0303103 | 0.0303111 | 0.4174 | 0.308609 | NA |
| 23 | 139287243 | rs412811 | T | C | 0.0204486 | 0.0075428 | 0.0066999 | 0.0067082 | 0.4504 | 0.460397 | NA |
| 23 | 139288359 | rs367697 | C | T | 0.0137191 | 0.0072511 | 0.0585302 | 0.0584903 | 0.4839 | 0.488477 | NA |
| 23 | 139289049 | rs387193 | A | G | 0.0198387 | 0.0075490 | 0.0086000 | 0.0085888 | 0.4483 | 0.450331 | NA |
1 1029805 rs891281851 A G . PASS AF=0.1695 ES:SE:LP:AF:ID 0.00466833:0.00968533:0.200659:0.1695:rs891281851
1 1031973 rs9651270 C T . PASS AF=0.1614 ES:SE:LP:AF:ID 0.00816272:0.0100156:0.381743:0.1614:rs9651270
1 1033596 rs6604964 T C . PASS AF=0.1613 ES:SE:LP:AF:ID 0.0081661:0.0100198:0.381743:0.1613:rs6604964
1 1033670 rs1370950991 T C . PASS AF=0.1612 ES:SE:LP:AF:ID 0.00759027:0.0100268:0.34756:0.1612:rs1370950991
1 1033680 rs1370950991 T A . PASS AF=0.1612 ES:SE:LP:AF:ID 0.00749917:0.0100256:0.342371:0.1612:rs1370950991
1 1033994 rs6698368 C T . PASS AF=0.1612 ES:SE:LP:AF:ID 0.0075294:0.0100258:0.344189:0.1612:rs6698368
1 1034200 rs77977351 T C . PASS AF=0.1612 ES:SE:LP:AF:ID 0.00783047:0.0100262:0.36191:0.1612:rs77977351
1 1036860 rs11579922 A C . PASS AF=0.1304 ES:SE:LP:AF:ID -0.00491221:0.0108918:0.186019:0.1304:rs11579922
1 1036959 rs1162868282 T C . PASS AF=0.1165 ES:SE:LP:AF:ID -0.0142564:0.0113236:0.681937:0.1165:rs1162868282
1 1037303 rs11260592 T C . PASS AF=0.1433 ES:SE:LP:AF:ID 0.000807276:0.0103497:0.0277972:0.1433:rs11260592
1 1037313 rs11260593 A G . PASS AF=0.1484 ES:SE:LP:AF:ID 0.00318051:0.010129:0.122801:0.1484:rs11260593
1 1037367 rs11260594 G A . PASS AF=0.1433 ES:SE:LP:AF:ID 0.000672813:0.010351:0.0232833:0.1433:rs11260594
1 1038088 rs66622470 G C . PASS AF=0.1433 ES:SE:LP:AF:ID 0.000641652:0.0103492:0.0219565:0.1433:rs66622470
1 1039268 rs9329410 T C . PASS AF=0.1435 ES:SE:LP:AF:ID 0.000258532:0.0103413:0.00872961:0.1435:rs9329410
1 1039817 rs1205065516 A G . PASS AF=0.1433 ES:SE:LP:AF:ID -0.00012418:0.0103483:0.00423322:0.1433:rs1205065516
1 1040026 rs6671356 T C . PASS AF=0.1437 ES:SE:LP:AF:ID -9.29753e-05:0.0103306:0.00300702:0.1437:rs6671356
1 1040472 rs6664124 C T . PASS AF=0.1436 ES:SE:LP:AF:ID -0.000609749:0.0103347:0.0207704:0.1436:rs6664124
1 1040794 rs6687681 G A . PASS AF=0.1436 ES:SE:LP:AF:ID -0.000733819:0.0103355:0.0253502:0.1436:rs6687681
1 1040824 rs6656379 T C . PASS AF=0.1488 ES:SE:LP:AF:ID 0.00213344:0.0101111:0.0792507:0.1488:rs6656379
1 1040985 rs6697379 C G . PASS AF=0.1436 ES:SE:LP:AF:ID -0.000516762:0.0103352:0.0175478:0.1436:rs6697379
1 1041700 rs6604968 A G . PASS AF=0.1437 ES:SE:LP:AF:ID -0.000919998:0.0103371:0.032031:0.1437:rs6604968
1 1041786 rs6604969 T C . PASS AF=0.1437 ES:SE:LP:AF:ID -0.00144741:0.0103386:0.0512448:0.1437:rs6604969
1 1042483 rs12733365 C T . PASS AF=0.1436 ES:SE:LP:AF:ID -0.00119906:0.0103367:0.0422491:0.1436:rs12733365
1 1042527 rs1486993720 G C . PASS AF=0.1155 ES:SE:LP:AF:ID -0.0108693:0.0114293:0.466482:0.1155:rs1486993720
1 1042673 rs897825316 C T . PASS AF=0.1447 ES:SE:LP:AF:ID -0.0018032:0.0103632:0.0644927:0.1447:rs897825316
1 1042927 rs4970354 G T . PASS AF=0.1435 ES:SE:LP:AF:ID -0.00116821:0.0103381:0.0408632:0.1435:rs4970354
1 1043053 rs4970355 A G . PASS AF=0.1435 ES:SE:LP:AF:ID -0.00103389:0.0103389:0.0360706:0.1435:rs4970355
1 1045473 rs11586034 G A . PASS AF=0.1149 ES:SE:LP:AF:ID -0.0120084:0.0114584:0.530915:0.1149:rs11586034
1 1046073 rs11590188 C A . PASS AF=0.1417 ES:SE:LP:AF:ID -0.00311087:0.0104043:0.116509:0.1417:rs11590188
1 1046164 rs386627439 C T . PASS AF=0.1435 ES:SE:LP:AF:ID -0.000899481:0.0103389:0.0310503:0.1435:rs386627439
1 1046717 rs34820586 G C . PASS AF=0.1159 ES:SE:LP:AF:ID -0.0116034:0.0114094:0.50976:0.1159:rs34820586
1 1046861 rs12723165 G A . PASS AF=0.1159 ES:SE:LP:AF:ID -0.0118994:0.0114088:0.527244:0.1159:rs12723165
1 1047374 rs12743678 T A . PASS AF=0.1481 ES:SE:LP:AF:ID 0.00188568:0.0101381:0.0695094:0.1481:rs12743678
1 1048501 rs7518814 G A . PASS AF=0.1418 ES:SE:LP:AF:ID -0.00278747:0.010401:0.103088:0.1418:rs7518814
1 1048955 rs4970405 A G . PASS AF=0.1058 ES:SE:LP:AF:ID -0.0161195:0.0118701:0.758205:0.1058:rs4970405
1 1048989 rs4970406 A G . PASS AF=0.1177 ES:SE:LP:AF:ID -0.00989045:0.011434:0.412177:0.1177:rs4970406
1 1049083 rs4970407 C A . PASS AF=0.1168 ES:SE:LP:AF:ID -0.0113452:0.0114598:0.49174:0.1168:rs4970407
1 1049950 rs12726255 A G . PASS AF=0.1473 ES:SE:LP:AF:ID 0.00127223:0.0101779:0.0453716:0.1473:rs12726255
1 1052946 rs12755848 G T . PASS AF=0.115 ES:SE:LP:AF:ID -0.0103966:0.0114753:0.437945:0.115:rs12755848
1 1053452 rs4970409 G A . PASS AF=0.1149 ES:SE:LP:AF:ID -0.0107421:0.0114766:0.456926:0.1149:rs4970409
1 1053670 rs4970410 G A . PASS AF=0.1409 ES:SE:LP:AF:ID -0.000794728:0.0104569:0.0272882:0.1409:rs4970410
1 1053724 rs4970411 A G . PASS AF=0.1405 ES:SE:LP:AF:ID -0.000932199:0.0104741:0.032031:0.1405:rs4970411
1 1054552 rs12567697 G A . PASS AF=0.114 ES:SE:LP:AF:ID -0.0103564:0.0115199:0.433327:0.114:rs12567697
1 1054893 rs4970412 T C . PASS AF=0.1458 ES:SE:LP:AF:ID 0.00162808:0.0102395:0.0587371:0.1458:rs4970412
1 1055653 rs34808604 C G . PASS AF=0.1142 ES:SE:LP:AF:ID -0.0111456:0.0115141:0.477295:0.1142:rs34808604
1 1055797 rs76744376 A G . PASS AF=0.1155 ES:SE:LP:AF:ID -0.00945663:0.0115466:0.384155:0.1155:rs76744376
1 1055901 rs74865318 C A . PASS AF=0.1142 ES:SE:LP:AF:ID -0.0111473:0.0115159:0.477686:0.1142:rs74865318
1 1056269 rs71628940 C T . PASS AF=0.1155 ES:SE:LP:AF:ID -0.0104284:0.0115486:0.436045:0.1155:rs71628940
1 1056348 rs66868065 G A . PASS AF=0.14 ES:SE:LP:AF:ID -0.000923867:0.0104985:0.0316572:0.14:rs66868065
1 1056715 rs7538862 C T . PASS AF=0.1457 ES:SE:LP:AF:ID 0.00261453:0.0102531:0.0976163:0.1457:rs7538862