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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 /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ieu-a-import/processed/ieu-a-57/ieu-a-57.vcf.gz \
--ref-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/ \
--out /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ieu-a-import/processed/ieu-a-57/ldsc.txt \
--w-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/
Beginning analysis at Wed Feb 5 11:21:57 2020
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ieu-a-import/processed/ieu-a-57/ieu-a-57.vcf.gz ...
Read summary statistics for 2465731 SNPs.
Reading reference panel LD Score from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/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 /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/[1-22] ...
Read regression weight LD Scores for 1290028 SNPs.
After merging with reference panel LD, 1153188 SNPs remain.
After merging with regression SNP LD, 1153188 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.1445 (0.0098)
Lambda GC: 1.0346
Mean Chi^2: 1.11
Intercept: 0.8724 (0.0071)
Ratio < 0 (usually indicates GC correction).
Analysis finished at Wed Feb 5 11:22:28 2020
Total time elapsed: 30.4s
{
"af_correlation": 0.9167,
"inflation_factor": 1.0475,
"mean_EFFECT": -0.0001,
"n": 117340,
"n_snps": 2465731,
"n_clumped_hits": 42,
"n_p_sig": 903,
"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": 8918,
"n_miss_AF_reference": 21052,
"n_est": 113061.2644,
"ratio_se_n": 0.9816,
"mean_diff": 0,
"ratio_diff": 3.1847,
"sd_y_est1": 1.3545,
"sd_y_est2": 1.3295,
"r2_sum1": 0.0225,
"r2_sum2": 0.0123,
"r2_sum3": 0.0127,
"r2_sum4": 0.0175,
"ldsc_nsnp_merge_refpanel_ld": 1153188,
"ldsc_nsnp_merge_regression_ld": 1153188,
"ldsc_observed_scale_h2_beta": 0.1445,
"ldsc_observed_scale_h2_se": 0.0098,
"ldsc_intercept_beta": 0.8724,
"ldsc_intercept_se": 0.0071,
"ldsc_lambda_gc": 1.0346,
"ldsc_mean_chisq": 1.11,
"ldsc_ratio": -1.16
}
name | value |
---|---|
name | value |
af_correlation | FALSE |
inflation_factor | FALSE |
n | FALSE |
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 |
General metrics
af_correlation
: Correlation coefficient between AF
and AF_reference
.inflation_factor
(lambda
): Genomic inflation factor.mean_EFFECT
: Mean of EFFECT
size.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 below 5e-8
.n_mono
: Number of monomorphic (MAF == 1
or MAF == 0
) SNPs.n_ns
: Number of SNPs with nonsense values:
A, C, G or T
.< 0
or > 1
.<= 0
or = Infinity
).< 0
or > 1
.n_mac
: Number of cases where MAC
(2×N×MAF) is less than 6
.is_snpid_unique
: true
if the combination of ID
REF
ALT
is unique and therefore no duplication in snpid.n_miss_<*>
: Number of NA
observations for <*>
column.se_n metrics
n_est
: Estimated sample size value, ˆn.ratio_se_n
: ratio_se_n=√ˆn√n. We expect ratio_se_n
to 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.
ratio_diff
: ratio_diff=|mean_diffmean_diff2|, absolute ratio between the mean of diff
and the mean of diff2
(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.
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.
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.
r2 metrics
Sum of variance explained, calculated from the clumped top hits sample.
r2_sum<*>
: r2
statistics under various assumptions
1
: 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
: NOT is_snpid_unique
.mean_EFFECT_nonfinite
: mean(EFFECT)
is NA
, NaN
, or Inf
.mean_EFFECT_05
: abs(mean(EFFECT))
> 0.5.mean_EFFECT_01
: abs(mean(EFFECT))
> 0.1.mean_chisq
: ldsc_mean_chisq
> 1.3 or ldsc_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<*>
> 0.5Plots
skim_type | skim_variable | n_missing | complete_rate | character.min | character.max | character.empty | character.n_unique | character.whitespace | 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 | numeric.mean | numeric.sd | numeric.p0 | numeric.p25 | numeric.p50 | numeric.p75 | numeric.p100 | numeric.hist |
character | ID | 0 | 1.0000000 | 3 | 42 | 0 | 2465731 | 0 | 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 |
character | ALT | 0 | 1.0000000 | 1 | 1 | 0 | 4 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
numeric | CHROM | 0 | 1.0000000 | NA | NA | NA | NA | NA | 8.585873e+00 | 5.656931e+00 | 1.0000 | 4.000000e+00 | 8.000000e+00 | 1.200000e+01 | 2.30000e+01 | ▇▅▅▂▂ |
numeric | POS | 0 | 1.0000000 | NA | NA | NA | NA | NA | 7.885250e+07 | 5.563946e+07 | 11523.0000 | 3.271598e+07 | 7.028922e+07 | 1.143162e+08 | 2.49219e+08 | ▇▇▅▂▁ |
numeric | EFFECT | 0 | 1.0000000 | NA | NA | NA | NA | NA | -1.458000e-04 | 1.061480e-02 | -0.2100 | -5.300000e-03 | 0.000000e+00 | 5.100000e-03 | 1.90000e-01 | ▁▁▇▁▁ |
numeric | SE | 0 | 1.0000000 | NA | NA | NA | NA | NA | 8.929500e-03 | 5.952000e-03 | 0.0045 | 5.800000e-03 | 6.800000e-03 | 9.400000e-03 | 9.10000e-02 | ▇▁▁▁▁ |
numeric | PVAL | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.943467e-01 | 2.918622e-01 | 0.0000 | 2.399999e-01 | 4.899999e-01 | 7.499995e-01 | 1.00000e+00 | ▇▇▇▇▇ |
numeric | PVAL_ztest | 0 | 1.0000000 | NA | NA | NA | NA | NA | 4.943696e-01 | 2.916528e-01 | 0.0000 | 2.410310e-01 | 4.938422e-01 | 7.474270e-01 | 1.00000e+00 | ▇▇▇▇▇ |
numeric | AF | 8918 | 0.9963832 | NA | NA | NA | NA | NA | 3.573313e-01 | 2.750582e-01 | 0.0083 | 1.167000e-01 | 2.917000e-01 | 5.583000e-01 | 9.91700e-01 | ▇▅▃▂▂ |
numeric | AF_reference | 21052 | 0.9914622 | NA | NA | NA | NA | NA | 3.606562e-01 | 2.561602e-01 | 0.0000 | 1.451680e-01 | 2.983230e-01 | 5.451280e-01 | 1.00000e+00 | ▇▆▃▃▂ |
numeric | N | 0 | 1.0000000 | NA | NA | NA | NA | NA | 8.478844e+04 | 8.106840e+03 | 50002.0000 | 8.309900e+04 | 8.674900e+04 | 8.691400e+04 | 1.17340e+05 | ▁▁▇▁▁ |
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 | 785050 | rs2905062 | G | A | -0.0004 | 0.0094 | 0.9599999 | 0.9660577 | NA | 0.626997 | 61774 |
1 | 990380 | rs3121561 | C | T | -0.0071 | 0.0096 | 0.4600002 | 0.4595529 | 0.26670 | 0.343450 | 65758 |
1 | 998501 | rs3813193 | G | C | -0.0071 | 0.0097 | 0.4600002 | 0.4641937 | 0.15000 | 0.206669 | 62136 |
1 | 1003629 | rs4075116 | C | T | -0.0062 | 0.0072 | 0.3900004 | 0.3891769 | 0.73730 | 0.720647 | 84085 |
1 | 1005806 | rs3934834 | C | T | -0.0084 | 0.0089 | 0.3500000 | 0.3452615 | 0.11670 | 0.223442 | 68628 |
1 | 1017170 | rs3766193 | C | G | 0.0033 | 0.0065 | 0.6100002 | 0.6116691 | 0.56670 | 0.575479 | 84890 |
1 | 1017197 | rs3766192 | C | T | 0.0027 | 0.0062 | 0.6600001 | 0.6632112 | 0.57630 | 0.511182 | 85266 |
1 | 1017587 | rs3766191 | C | T | -0.0097 | 0.0091 | 0.2900000 | 0.2864534 | 0.09649 | 0.171126 | 68566 |
1 | 1018562 | rs9442371 | C | T | 0.0021 | 0.0061 | 0.7300002 | 0.7306490 | 0.59170 | 0.530152 | 85321 |
1 | 1018704 | rs9442372 | A | G | 0.0027 | 0.0061 | 0.6600001 | 0.6580385 | 0.60170 | 0.611022 | 85325 |
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 |
22 | 51216564 | rs9616970 | T | C | -0.0250 | 0.0130 | 0.0490004 | 0.0544704 | 0.1500 | 0.1563500 | 65946 |
22 | 51217134 | rs117417021 | A | G | -0.0003 | 0.0096 | 0.9699999 | 0.9750702 | 0.4417 | 0.2671730 | 57629 |
22 | 51222100 | rs114553188 | G | T | -0.0120 | 0.0160 | 0.4400003 | 0.4532547 | 0.0667 | 0.0880591 | 70061 |
22 | 51223637 | rs375798137 | G | A | -0.0120 | 0.0160 | 0.4400003 | 0.4532547 | 0.0667 | 0.0788738 | 70060 |
22 | 51229805 | rs9616985 | T | C | -0.0320 | 0.0180 | 0.0810009 | 0.0754404 | 0.0917 | 0.0730831 | 57744 |
23 | 35921591 | rs2204667 | C | G | 0.0031 | 0.0074 | 0.6800001 | 0.6752754 | 0.1667 | NA | 86848 |
23 | 51666786 | rs14115 | A | G | 0.0059 | 0.0120 | 0.6300007 | 0.6229550 | 0.0250 | NA | 80480 |
23 | 70163799 | rs1626496 | A | C | -0.0049 | 0.0110 | 0.6499995 | 0.6559913 | 0.0750 | NA | 86778 |
23 | 91415872 | rs6562597 | G | A | 0.0100 | 0.0210 | 0.6200004 | 0.6339387 | 0.0083 | 0.0021192 | 76432 |
23 | 118495837 | rs12882977 | G | A | -0.0017 | 0.0054 | 0.7499995 | 0.7529023 | 0.5167 | 0.2307280 | 86796 |
1 785050 rs2905062 G A . PASS . ES:SE:LP:SS:ID -0.0004:0.0094:0.0177288:61774:rs2905062
1 990380 rs3121561 C T . PASS AF=0.2667 ES:SE:LP:AF:SS:ID -0.0071:0.0096:0.337242:0.2667:65758:rs3121561
1 998501 rs3813193 G C . PASS AF=0.15 ES:SE:LP:AF:SS:ID -0.0071:0.0097:0.337242:0.15:62136:rs3813193
1 1003629 rs4075116 C T . PASS AF=0.7373 ES:SE:LP:AF:SS:ID -0.0062:0.0072:0.408935:0.7373:84085:rs4075116
1 1005806 rs3934834 C T . PASS AF=0.1167 ES:SE:LP:AF:SS:ID -0.0084:0.0089:0.455932:0.1167:68628:rs3934834
1 1017170 rs3766193 C G . PASS AF=0.5667 ES:SE:LP:AF:SS:ID 0.0033:0.0065:0.21467:0.5667:84890:rs3766193
1 1017197 rs3766192 C T . PASS AF=0.5763 ES:SE:LP:AF:SS:ID 0.0027:0.0062:0.180456:0.5763:85266:rs3766192
1 1017587 rs3766191 C T . PASS AF=0.09649 ES:SE:LP:AF:SS:ID -0.0097:0.0091:0.537602:0.09649:68566:rs3766191
1 1018562 rs9442371 C T . PASS AF=0.5917 ES:SE:LP:AF:SS:ID 0.0021:0.0061:0.136677:0.5917:85321:rs9442371
1 1018704 rs9442372 A G . PASS AF=0.6017 ES:SE:LP:AF:SS:ID 0.0027:0.0061:0.180456:0.6017:85325:rs9442372
1 1021346 rs10907177 A G . PASS AF=0.1271 ES:SE:LP:AF:SS:ID -0.0083:0.0093:0.431798:0.1271:68488:rs10907177
1 1021415 rs3737728 A G . PASS AF=0.7167 ES:SE:LP:AF:SS:ID -0.0035:0.0064:0.229148:0.7167:85667:rs3737728
1 1021583 rs10907178 A C . PASS . ES:SE:LP:SS:ID -0.0083:0.0095:0.420216:66340:rs10907178
1 1021695 rs9442398 A G . PASS AF=0.725 ES:SE:LP:AF:SS:ID -0.0042:0.0068:0.275724:0.725:85503:rs9442398
1 1022037 rs6701114 C T . PASS AF=0.5667 ES:SE:LP:AF:SS:ID 0.0003:0.0065:0.0177288:0.5667:80819:rs6701114
1 1026707 rs4074137 C A . PASS AF=0.6 ES:SE:LP:AF:SS:ID -0.0044:0.007:0.275724:0.6:69686:rs4074137
1 1030565 rs6687776 C T . PASS AF=0.08333 ES:SE:LP:AF:SS:ID 0.0047:0.0083:0.244125:0.08333:69658:rs6687776
1 1030633 rs6678318 G A . PASS AF=0.08621 ES:SE:LP:AF:SS:ID 0.005:0.0089:0.236572:0.08621:65010:rs6678318
1 1031540 rs9651273 A G . PASS AF=0.6583 ES:SE:LP:AF:SS:ID 0.0011:0.0071:0.0555173:0.6583:69648:rs9651273
1 1036959 rs11579015 T C . PASS AF=0.05 ES:SE:LP:AF:SS:ID 0.011:0.0099:0.585027:0.05:77007:rs11579015
1 1040026 rs6671356 T C . PASS AF=0.075 ES:SE:LP:AF:SS:ID 0.006:0.0089:0.30103:0.075:71779:rs6671356
1 1046164 rs6666280 C T . PASS AF=0.06667 ES:SE:LP:AF:SS:ID 0.0069:0.0093:0.337242:0.06667:75221:rs6666280
1 1048955 rs4970405 A G . PASS AF=0.05172 ES:SE:LP:AF:SS:ID 0.012:0.0099:0.657577:0.05172:74923:rs4970405
1 1049950 rs12726255 A G . PASS AF=0.06667 ES:SE:LP:AF:SS:ID 0.0044:0.0091:0.200659:0.06667:75160:rs12726255
1 1053452 rs4970409 G A . PASS AF=0.05 ES:SE:LP:AF:SS:ID 0.012:0.01:0.60206:0.05:74775:rs4970409
1 1060174 rs7548798 C T . PASS AF=0.3981 ES:SE:LP:AF:SS:ID 0.0003:0.0087:0.0132283:0.3981:55548:rs7548798
1 1060235 rs7540009 G A . PASS AF=0.01667 ES:SE:LP:AF:SS:ID -0.017:0.019:0.420216:0.01667:64740:rs7540009
1 1060608 rs17160824 G A . PASS AF=0.05833 ES:SE:LP:AF:SS:ID 0.0097:0.01:0.455932:0.05833:76933:rs17160824
1 1061115 rs17160826 T C . PASS AF=0.05455 ES:SE:LP:AF:SS:ID 0.011:0.01:0.522879:0.05455:76943:rs17160826
1 1061152 rs12748370 T C . PASS . ES:SE:LP:SS:ID 0.012:0.011:0.60206:74741:rs12748370
1 1061166 rs11807848 T C . PASS AF=0.4123 ES:SE:LP:AF:SS:ID 0.0081:0.0073:0.568636:0.4123:69053:rs11807848
1 1062015 rs9659914 C T . PASS AF=0.01667 ES:SE:LP:AF:SS:ID -0.014:0.021:0.283997:0.01667:58348:rs9659914
1 1062638 rs9442373 C A . PASS AF=0.5517 ES:SE:LP:AF:SS:ID -0.0025:0.0071:0.142668:0.5517:68614:rs9442373
1 1064535 rs6682475 G C . PASS AF=0.7542 ES:SE:LP:AF:SS:ID -0.0019:0.01:0.0705811:0.7542:57205:rs6682475
1 1064979 rs2298217 C T . PASS AF=0.08333 ES:SE:LP:AF:SS:ID -0.0043:0.0094:0.187087:0.08333:63265:rs2298217
1 1066403 rs10907182 T C . PASS AF=0.675 ES:SE:LP:AF:SS:ID -0.003:0.0075:0.161151:0.675:69104:rs10907182
1 1071118 rs10907183 G C . PASS AF=0.6833 ES:SE:LP:AF:SS:ID -0.0033:0.0082:0.161151:0.6833:64541:rs10907183
1 1077064 rs4970357 C A . PASS AF=0.92373 ES:SE:LP:AF:SS:ID 0.006:0.013:0.200659:0.92373:78071:rs4970357
1 1087683 rs9442380 T C . PASS AF=0.91228 ES:SE:LP:AF:SS:ID 0.0039:0.011:0.130768:0.91228:78580:rs9442380
1 1089262 rs4970358 A G . PASS AF=0.9661 ES:SE:LP:AF:SS:ID 0.0038:0.015:0.09691:0.9661:80061:rs4970358
1 1097335 rs9442385 T G . PASS AF=0.94167 ES:SE:LP:AF:SS:ID 0.005:0.011:0.180456:0.94167:82057:rs9442385
1 1099342 rs9660710 A C . PASS AF=0.94068 ES:SE:LP:AF:SS:ID 0.0019:0.011:0.0655015:0.94068:85100:rs9660710
1 1100217 rs1891905 C T . PASS AF=0.95833 ES:SE:LP:AF:SS:ID -0.0078:0.015:0.21467:0.95833:84794:rs1891905
1 1106473 rs4970420 G A . PASS AF=0.1441 ES:SE:LP:AF:SS:ID -0.015:0.011:0.744727:0.1441:52720:rs4970420
1 1113121 rs12092254 G A . PASS AF=0.1 ES:SE:LP:AF:SS:ID 0.0051:0.015:0.130768:0.1:56871:rs12092254
1 1119858 rs1320565 C T . PASS AF=0.09167 ES:SE:LP:AF:SS:ID 0.0007:0.013:0.0177288:0.09167:57652:rs1320565
1 1120431 rs1320571 G A . PASS AF=0.04167 ES:SE:LP:AF:SS:ID -0.017:0.018:0.468521:0.04167:71037:rs1320571
1 1121014 rs3813204 G A . PASS AF=0.1121 ES:SE:LP:AF:SS:ID 0.004:0.01:0.161151:0.1121:66416:rs3813204
1 1121794 rs11260549 G A . PASS AF=0.125 ES:SE:LP:AF:SS:ID 0.0039:0.0089:0.180456:0.125:75332:rs11260549
1 1124663 rs6684820 G A . PASS AF=0.2667 ES:SE:LP:AF:SS:ID 0.0082:0.0066:0.657577:0.2667:84442:rs6684820