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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'SE', 'Z', 'N', 'BETA', 'P'}) and 35 missing columns ({'N_FG', 'FRQ_UKBEIB', 'FRQ_MVP', 'BETA_UKBNL', 'P_MVP', 'Neff_FG', 'BETA_FG', 'Neff_MVP', 'SE_UKBEIB', 'P_FG', 'BETA_DME', 'P_DME', 'FRQ_DME', 'BETA_MVP', 'Z_FG', 'P_UKBNL', 'SE_FG', 'N_DME', 'Neff_DME', 'Z_MVP', 'BETA_UKBEIB', 'P_UKBEIB', 'SE_UKBNL', 'Neff_UKBNL', 'SE_DME', 'Z_UKBEIB', 'SE_MVP', 'FRQ_FG', 'Z_DME', 'N_MVP', 'N_UKBEIB', 'Z_UKBNL', 'Neff_UKBEIB', 'N_UKBNL', 'FRQ_UKBNL'}).
This happened while the csv dataset builder was generating data using
/tmp/hf-datasets-cache/medium/datasets/80378567656510-config-parquet-and-info-PaoloMaccallini-MetaME-94b77a0b/hub/datasets--PaoloMaccallini--MetaME/snapshots/c1f4579528b167c7ef6ac6fe51d7b8c1f9641ff4/GWAS_META_DME_MVP_UKBEIB_GRCh37.tsv.gz
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
SNP: string
CHR: int64
BP: int64
A1: string
A2: string
BETA: double
SE: double
P: double
N: int64
Z: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1300
to
{'SNP': Value('string'), 'CHR': Value('int64'), 'BP': Value('int64'), 'A1': Value('string'), 'A2': Value('string'), 'BETA_DME': Value('float64'), 'SE_DME': Value('float64'), 'P_DME': Value('float64'), 'FRQ_DME': Value('float64'), 'N_DME': Value('float64'), 'Neff_DME': Value('float64'), 'Z_DME': Value('float64'), 'BETA_MVP': Value('float64'), 'SE_MVP': Value('float64'), 'P_MVP': Value('float64'), 'FRQ_MVP': Value('float64'), 'N_MVP': Value('float64'), 'Neff_MVP': Value('float64'), 'Z_MVP': Value('float64'), 'BETA_UKBNL': Value('float64'), 'SE_UKBNL': Value('float64'), 'P_UKBNL': Value('float64'), 'FRQ_UKBNL': Value('float64'), 'N_UKBNL': Value('float64'), 'Neff_UKBNL': Value('float64'), 'Z_UKBNL': Value('float64'), 'BETA_UKBEIB': Value('float64'), 'SE_UKBEIB': Value('float64'), 'P_UKBEIB': Value('float64'), 'FRQ_UKBEIB': Value('float64'), 'N_UKBEIB': Value('float64'), 'Neff_UKBEIB': Value('float64'), 'Z_UKBEIB': Value('float64'), 'BETA_FG': Value('float64'), 'SE_FG': Value('float64'), 'P_FG': Value('float64'), 'FRQ_FG': Value('float64'), 'N_FG': Value('float64'), 'Neff_FG': Value('float64'), 'Z_FG': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1455, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'SE', 'Z', 'N', 'BETA', 'P'}) and 35 missing columns ({'N_FG', 'FRQ_UKBEIB', 'FRQ_MVP', 'BETA_UKBNL', 'P_MVP', 'Neff_FG', 'BETA_FG', 'Neff_MVP', 'SE_UKBEIB', 'P_FG', 'BETA_DME', 'P_DME', 'FRQ_DME', 'BETA_MVP', 'Z_FG', 'P_UKBNL', 'SE_FG', 'N_DME', 'Neff_DME', 'Z_MVP', 'BETA_UKBEIB', 'P_UKBEIB', 'SE_UKBNL', 'Neff_UKBNL', 'SE_DME', 'Z_UKBEIB', 'SE_MVP', 'FRQ_FG', 'Z_DME', 'N_MVP', 'N_UKBEIB', 'Z_UKBNL', 'Neff_UKBEIB', 'N_UKBNL', 'FRQ_UKBNL'}).
This happened while the csv dataset builder was generating data using
/tmp/hf-datasets-cache/medium/datasets/80378567656510-config-parquet-and-info-PaoloMaccallini-MetaME-94b77a0b/hub/datasets--PaoloMaccallini--MetaME/snapshots/c1f4579528b167c7ef6ac6fe51d7b8c1f9641ff4/GWAS_META_DME_MVP_UKBEIB_GRCh37.tsv.gz
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SNP
string | CHR
int64 | BP
int64 | A1
string | A2
string | BETA_DME
float64 | SE_DME
float64 | P_DME
float64 | FRQ_DME
float64 | N_DME
float64 | Neff_DME
float64 | Z_DME
float64 | BETA_MVP
float64 | SE_MVP
float64 | P_MVP
float64 | FRQ_MVP
float64 | N_MVP
float64 | Neff_MVP
float64 | Z_MVP
float64 | BETA_UKBNL
float64 | SE_UKBNL
float64 | P_UKBNL
float64 | FRQ_UKBNL
float64 | N_UKBNL
float64 | Neff_UKBNL
float64 | Z_UKBNL
float64 | BETA_UKBEIB
float64 | SE_UKBEIB
float64 | P_UKBEIB
float64 | FRQ_UKBEIB
float64 | N_UKBEIB
float64 | Neff_UKBEIB
float64 | Z_UKBEIB
float64 | BETA_FG
float64 | SE_FG
float64 | P_FG
float64 | FRQ_FG
float64 | N_FG
float64 | Neff_FG
float64 | Z_FG
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
rs10000
| 7
| 5,973,522
|
A
|
G
| null | null | null | null | null | null | null | 0.109703
| 0.060934
| 0.07136
| 0.0917
| 443,093
| 15,427.325478
| 1.800368
| null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
rs10000003
| 4
| 56,695,481
|
A
|
G
| 0.002929
| 0.013921
| 0.833338
| 0.70057
| 275,488
| 58,791.995455
| 0.210422
| 0.039885
| 0.02545
| 0.1185
| 0.6855
| 443,093
| 15,427.325478
| 1.567162
| -0.00002
| 0.000174
| 0.910745
| 0.299058
| 361,141
| 6,605.515718
| -0.112099
| 0.000058
| 0.000147
| 0.7
| 0.705536
| 484,598
| 8,331.875509
| 0.396881
| 0.207499
| 0.089634
| 0.020615
| 0.669664
| 463,312
| 1,131.308552
| 2.314951
|
rs10000006
| 4
| 107,905,227
|
T
|
C
| -0.054049
| 0.032644
| 0.097775
| 0.039517
| 275,488
| 58,791.995455
| -1.655734
| 0.105249
| 0.059744
| 0.07798
| 0.0516
| 443,093
| 15,427.325478
| 1.761666
| 0.000291
| 0.000417
| 0.48512
| 0.039336
| 361,141
| 6,605.515718
| 0.698092
| 0.000288
| 0.000331
| 0.38
| 0.050307
| 484,598
| 8,331.875509
| 0.869121
| -0.196445
| 0.414201
| 0.635305
| 0.011354
| 463,312
| 1,131.308552
| -0.474275
|
rs10000008
| 4
| 171,855,053
|
C
|
T
| 0.059995
| 0.054704
| 0.272764
| 0.013696
| 275,488
| 58,791.995455
| 1.09672
| 0.097944
| 0.120032
| 0.4146
| 0.0166
| 443,093
| 15,427.325478
| 0.815977
| -0.000499
| 0.000709
| 0.481226
| 0.013269
| 361,141
| 6,605.515718
| -0.704333
| -0.000181
| 0.000528
| 0.74
| 0.018598
| 484,598
| 8,331.875509
| -0.342185
| 0.646809
| 0.35011
| 0.064683
| 0.01483
| 463,312
| 1,131.308552
| 1.847445
|
rs10000011
| 4
| 137,301,901
|
C
|
T
| 0.006388
| 0.031247
| 0.838018
| 0.043047
| 275,488
| 58,791.995455
| 0.204429
| 0.034488
| 0.057721
| 0.55
| 0.0465
| 443,093
| 15,427.325478
| 0.59749
| -0.000473
| 0.000396
| 0.23226
| 0.042454
| 361,141
| 6,605.515718
| -1.194561
| -0.000185
| 0.000313
| 0.56
| 0.049824
| 484,598
| 8,331.875509
| -0.589259
| 0.013572
| 0.189444
| 0.942888
| 0.052169
| 463,312
| 1,131.308552
| 0.07164
|
rs10000012
| 4
| 1,363,537
|
C
|
G
| -0.012985
| 0.018461
| 0.481824
| 0.139607
| 275,488
| 58,791.995455
| -0.703374
| -0.026642
| 0.0335
| 0.4216
| 0.1358
| 443,093
| 15,427.325478
| -0.795281
| 0.000083
| 0.000229
| 0.714905
| 0.140921
| 361,141
| 6,605.515718
| 0.365276
| 0.000227
| 0.000193
| 0.24
| 0.14059
| 484,598
| 8,331.875509
| 1.174852
| -0.13887
| 0.140013
| 0.321277
| 0.100119
| 463,312
| 1,131.308552
| -0.991836
|
rs10000014
| 4
| 177,525,994
|
C
|
T
| 0.011336
| 0.013272
| 0.393028
| 0.357253
| 275,488
| 58,791.995455
| 0.854139
| 0.00441
| 0.02415
| 0.8548
| 0.3646
| 443,093
| 15,427.325478
| 0.182595
| 0.000283
| 0.000166
| 0.089432
| 0.355768
| 361,141
| 6,605.515718
| 1.698406
| 0.000142
| 0.000141
| 0.31
| 0.350169
| 484,598
| 8,331.875509
| 1.00849
| -0.088883
| 0.087112
| 0.307571
| 0.369081
| 463,312
| 1,131.308552
| -1.020331
|
rs10000015
| 4
| 83,222,834
|
A
|
G
| 0.014081
| 0.028118
| 0.616525
| 0.054258
| 275,488
| 58,791.995455
| 0.500779
| 0.080343
| 0.050186
| 0.1105
| 0.0554
| 443,093
| 15,427.325478
| 1.600914
| 0.000525
| 0.000352
| 0.135801
| 0.054396
| 361,141
| 6,605.515718
| 1.491613
| 0.000452
| 0.000291
| 0.12
| 0.057296
| 484,598
| 8,331.875509
| 1.553191
| 0.13278
| 0.231452
| 0.566183
| 0.035239
| 463,312
| 1,131.308552
| 0.573683
|
rs10000017
| 4
| 83,856,972
|
C
|
T
| -0.012418
| 0.01537
| 0.419137
| 0.22159
| 275,488
| 58,791.995455
| -0.807919
| 0.007428
| 0.028205
| 0.7914
| 0.218
| 443,093
| 15,427.325478
| 0.263339
| -0.000577
| 0.000192
| 0.002627
| 0.222848
| 361,141
| 6,605.515718
| -3.008321
| -0.000417
| 0.000164
| 0.011
| 0.216198
| 484,598
| 8,331.875509
| -2.549255
| 0.110433
| 0.098846
| 0.263898
| 0.242322
| 463,312
| 1,131.308552
| 1.117223
|
rs10000018
| 4
| 99,537,291
|
A
|
G
| 0.012479
| 0.013981
| 0.372101
| 0.293143
| 275,488
| 58,791.995455
| 0.892542
| 0.003606
| 0.025798
| 0.8878
| 0.2944
| 443,093
| 15,427.325478
| 0.139797
| -0.000009
| 0.000175
| 0.960297
| 0.292603
| 361,141
| 6,605.515718
| -0.049781
| 0.000009
| 0.000146
| 0.94
| 0.300408
| 484,598
| 8,331.875509
| 0.062641
| -0.067961
| 0.103599
| 0.511826
| 0.210908
| 463,312
| 1,131.308552
| -0.655996
|
rs1000002
| 3
| 183,917,980
|
C
|
T
| -0.002041
| 0.012718
| 0.872525
| 0.485736
| 275,488
| 58,791.995455
| -0.160452
| 0.035316
| 0.023006
| 0.1228
| 0.484
| 443,093
| 15,427.325478
| 1.535072
| 0.000143
| 0.00016
| 0.370363
| 0.485247
| 361,141
| 6,605.515718
| 0.895797
| 0.000194
| 0.000135
| 0.15
| 0.47817
| 484,598
| 8,331.875509
| 1.437386
| 0.141744
| 0.085333
| 0.096701
| 0.419535
| 463,312
| 1,131.308552
| 1.661067
|
rs10000020
| 4
| 4,215,724
|
A
|
G
| 0.008886
| 0.015208
| 0.559029
| 0.22952
| 275,488
| 58,791.995455
| 0.584286
| null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 0.021796
| 0.105029
| 0.835601
| 0.202813
| 463,312
| 1,131.308552
| 0.207523
|
rs10000021
| 4
| 158,520,305
|
G
|
T
| -0.032776
| 0.016254
| 0.04375
| 0.813683
| 275,488
| 58,791.995455
| -2.016476
| -0.044973
| 0.029475
| 0.1291
| 0.7958
| 443,093
| 15,427.325478
| -1.525834
| -0.000418
| 0.000205
| 0.041002
| 0.185761
| 361,141
| 6,605.515718
| -2.043519
| -0.00039
| 0.000171
| 0.023
| 0.810624
| 484,598
| 8,331.875509
| -2.274777
| 0.107075
| 0.121852
| 0.379547
| 0.859138
| 463,312
| 1,131.308552
| 0.87873
|
rs10000028
| 4
| 171,098,022
|
G
|
T
| -0.017584
| 0.045409
| 0.698586
| 0.01952
| 275,488
| 58,791.995455
| -0.387229
| -0.068593
| 0.091416
| 0.4532
| 0.0181
| 443,093
| 15,427.325478
| -0.75034
| -0.001176
| 0.000582
| 0.043548
| 0.019202
| 361,141
| 6,605.515718
| -2.018429
| -0.00126
| 0.000476
| 0.0081
| 0.020585
| 484,598
| 8,331.875509
| -2.644319
| null | null | null | null | null | null | null |
rs1000003
| 3
| 98,624,063
|
A
|
G
| null | null | null | null | null | null | null | -0.036332
| 0.032191
| 0.2548
| 0.1542
| 443,093
| 15,427.325478
| -1.128631
| 0.000213
| 0.000224
| 0.342089
| 0.148999
| 361,141
| 6,605.515718
| 0.950049
| 0.000089
| 0.000186
| 0.63
| 0.158425
| 484,598
| 8,331.875509
| 0.477198
| 0.024615
| 0.101871
| 0.80907
| 0.218314
| 463,312
| 1,131.308552
| 0.241626
|
rs10000030
| 4
| 102,452,997
|
G
|
A
| -0.006754
| 0.018894
| 0.720734
| 0.131008
| 275,488
| 58,791.995455
| -0.357478
| 0.028194
| 0.033959
| 0.4077
| 0.1351
| 443,093
| 15,427.325478
| 0.83023
| -0.000134
| 0.000237
| 0.570038
| 0.130479
| 361,141
| 6,605.515718
| -0.567995
| -0.000061
| 0.000198
| 0.76
| 0.131964
| 484,598
| 8,331.875509
| -0.305896
| 0.107517
| 0.110981
| 0.332651
| 0.176596
| 463,312
| 1,131.308552
| 0.968787
|
rs10000031
| 4
| 68,683,231
|
A
|
G
| -0.001346
| 0.017388
| 0.938302
| 0.157736
| 275,488
| 58,791.995455
| -0.077404
| 0.003807
| 0.032277
| 0.9059
| 0.1684
| 443,093
| 15,427.325478
| 0.117954
| 0.000117
| 0.000221
| 0.5971
| 0.15709
| 361,141
| 6,605.515718
| 0.528575
| 0.000019
| 0.000184
| 0.92
| 0.165326
| 484,598
| 8,331.875509
| 0.105474
| -0.067002
| 0.092577
| 0.469226
| 0.297847
| 463,312
| 1,131.308552
| -0.72374
|
rs10000033
| 4
| 138,678,744
|
T
|
C
| -0.000955
| 0.012757
| 0.940298
| 0.458829
| 275,488
| 58,791.995455
| -0.074895
| 0.022859
| 0.024237
| 0.3444
| 0.4535
| 443,093
| 15,427.325478
| 0.943169
| -0.000107
| 0.00016
| 0.502649
| 0.458866
| 361,141
| 6,605.515718
| -0.670327
| -0.000043
| 0.000135
| 0.75
| 0.451869
| 484,598
| 8,331.875509
| -0.319876
| -0.002427
| 0.084317
| 0.977033
| 0.507764
| 463,312
| 1,131.308552
| -0.028789
|
rs10000036
| 4
| 138,298,108
|
C
|
T
| -0.017459
| 0.012776
| 0.171761
| 0.496686
| 275,488
| 58,791.995455
| -1.36657
| -0.003992
| 0.024147
| 0.8571
| 0.4928
| 443,093
| 15,427.325478
| -0.165324
| 0.000087
| 0.00016
| 0.584981
| 0.499129
| 361,141
| 6,605.515718
| 0.546122
| 0.000075
| 0.000135
| 0.57
| 0.499775
| 484,598
| 8,331.875509
| 0.556074
| 0.002315
| 0.085169
| 0.978315
| 0.563884
| 463,312
| 1,131.308552
| 0.027181
|
rs10000037
| 4
| 38,922,709
|
G
|
A
| -0.007985
| 0.014584
| 0.584006
| 0.256962
| 275,488
| 58,791.995455
| -0.547542
| 0.041968
| 0.026569
| 0.1158
| 0.247
| 443,093
| 15,427.325478
| 1.579594
| -0.000157
| 0.000182
| 0.388088
| 0.257929
| 361,141
| 6,605.515718
| -0.863092
| -0.000191
| 0.000154
| 0.22
| 0.251931
| 484,598
| 8,331.875509
| -1.235748
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| 4
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|
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| 275,488
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| 463,312
| 1,131.308552
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| 4
| 5,235,425
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|
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| 275,488
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| 4
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|
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| 4
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|
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| 443,093
| 15,427.325478
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| 4
| 120,370,537
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|
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| 4
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| 17
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|
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| 4
| 126,888,466
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|
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| 58,791.995455
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| 4
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|
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| 15,427.325478
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| 2
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|
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| 275,488
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| 463,312
| 1,131.308552
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| 4
| 40,001,076
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|
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| 275,488
| 58,791.995455
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| 463,312
| 1,131.308552
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| 4
| 182,367,207
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|
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| -0.139174
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| 275,488
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| 4
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| null | null | null | null | null | null | null | 0.013998
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| 4
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|
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| 0.181544
| 463,312
| 1,131.308552
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rs10000082
| 4
| 166,389,040
|
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|
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| -0.053842
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| 275,488
| 58,791.995455
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| 463,312
| 1,131.308552
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| 4
| 5,348,125
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|
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| -0.09283
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| 58,791.995455
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| 4
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|
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| 463,312
| 1,131.308552
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| 4
| 12,983,343
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|
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| -0.000216
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| 0.3625
| 275,488
| 58,791.995455
| -0.016303
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| 15,427.325478
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| 6,605.515718
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| 463,312
| 1,131.308552
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| 4
| 21,893,894
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T
|
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| 0.034075
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| 275,488
| 58,791.995455
| 2.431536
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| 6
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|
A
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| 275,488
| 58,791.995455
| -1.261172
| null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | -0.489447
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| 3
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| 4
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| 1,131.308552
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| 4
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|
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| 463,312
| 1,131.308552
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| 4
| 90,446,118
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A
|
T
| 0.05435
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| 275,488
| 58,791.995455
| 2.088108
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| 15,427.325478
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| 463,312
| 1,131.308552
| -0.25764
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| 18
| 48,328,680
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C
|
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| -0.022894
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| 275,488
| 58,791.995455
| -1.743119
| -0.04879
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| 443,093
| 15,427.325478
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| 6,605.515718
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| 0.400941
| 463,312
| 1,131.308552
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|
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| 1
| 13,397,449
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C
|
T
| -0.012388
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| 0.124849
| 275,488
| 58,791.995455
| -0.643052
| null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 0.044517
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| 4
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| 0.249175
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| 463,312
| 1,131.308552
| -1.152357
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| 4
| 130,078,128
|
T
|
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| 0.005451
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| 275,488
| 58,791.995455
| 0.420891
| -0.025668
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| 463,312
| 1,131.308552
| 0.528066
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| 4
| 108,185,295
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|
A
| -0.015228
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| 275,488
| 58,791.995455
| -0.681945
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| 6,605.515718
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| 0.0536
| 463,312
| 1,131.308552
| 0.490066
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| 7
| 40,550,970
|
C
|
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| 0.002845
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| 275,488
| 58,791.995455
| 0.127821
| -0.005982
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| 15,427.325478
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| 6,605.515718
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| 484,598
| 8,331.875509
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| 463,312
| 1,131.308552
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| 4
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| 4
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| 4
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|
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| 275,488
| 58,791.995455
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| 463,312
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| 4
| 24,870,759
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|
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| 16
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| 4
| 89,026,903
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|
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| 275,488
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| 4
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| 463,312
| 1,131.308552
| 1.73372
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| 4
| 5,295,668
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|
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| 275,488
| 58,791.995455
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| 463,312
| 1,131.308552
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| 4
| 11,580,631
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|
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| 4
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| 463,312
| 1,131.308552
| 0.497217
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rs10000169
| 4
| 76,435,093
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|
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| 0.014172
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| 275,488
| 58,791.995455
| 0.96525
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| 15,427.325478
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| 1,131.308552
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| 9
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|
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| 275,488
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| null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 0.010785
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| 463,312
| 1,131.308552
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| 2
| 22,986,256
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| 463,312
| 1,131.308552
| 0.441538
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| 4
| 179,247,471
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|
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| 0.011658
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| 275,488
| 58,791.995455
| 0.910576
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| 463,312
| 1,131.308552
| -0.602089
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| 2
| 61,770,506
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|
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| 275,488
| 58,791.995455
| 0.444319
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| 443,093
| 15,427.325478
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| 6,605.515718
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| 463,312
| 1,131.308552
| 0.97901
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| 4
| 137,450,153
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|
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| -0.027263
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| -0.926193
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| 463,312
| 1,131.308552
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| 4
| 107,078,449
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|
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| 58,791.995455
| -1.408849
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| 15,427.325478
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| 6,605.515718
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| 484,598
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| 463,312
| 1,131.308552
| -1.040737
|
rs10000184
| 4
| 13,492,200
|
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|
C
| 0.007743
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| 0.101636
| 275,488
| 58,791.995455
| 0.366624
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| 0.89532
| 0.094279
| 463,312
| 1,131.308552
| -0.131576
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| 4
| 7,508,031
|
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|
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| -0.015877
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| 275,488
| 58,791.995455
| -0.722891
| -0.044017
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| 15,427.325478
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| 0.616621
| 0.059932
| 463,312
| 1,131.308552
| 0.500648
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rs1000019
| 2
| 61,770,442
|
T
|
C
| -0.007999
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| 0.192036
| 275,488
| 58,791.995455
| -0.495992
| 0.013693
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| 443,093
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| 0.151246
| 463,312
| 1,131.308552
| -1.010432
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| 4
| 79,006,878
|
C
|
T
| -0.031716
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| 0.946332
| 275,488
| 58,791.995455
| -1.124906
| 0.057523
| 0.052242
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| 443,093
| 15,427.325478
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| 6,605.515718
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| 0.947226
| 463,312
| 1,131.308552
| -1.409963
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| 4
| 73,759,808
|
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|
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| 275,488
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| 484,598
| 8,331.875509
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| null | null | null | null | null | null | null |
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| 4
| 150,695,941
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A
|
G
| -0.001329
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| 275,488
| 58,791.995455
| -0.06134
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| 15,427.325478
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| 361,141
| 6,605.515718
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| 0.840879
| 463,312
| 1,131.308552
| 1.011828
|
rs1000020
| 3
| 176,750,264
|
C
|
T
| 0.003662
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| 0.389474
| 275,488
| 58,791.995455
| 0.280301
| -0.039221
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| 15,427.325478
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| 8,331.875509
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| 463,312
| 1,131.308552
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| 4
| 58,936,153
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|
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| 0.006914
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| 275,488
| 58,791.995455
| 0.443976
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| 463,312
| 1,131.308552
| 0.46861
|
rs10000200
| 4
| 58,936,153
|
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|
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| 361,141
| 6,605.515718
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| 484,598
| 8,331.875509
| -2.16063
| null | null | null | null | null | null | null |
rs10000203
| 4
| 77,355,406
|
C
|
G
| 0.015558
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| 0.066811
| 275,488
| 58,791.995455
| 0.610145
| -0.05638
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| 443,093
| 15,427.325478
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| 463,312
| 1,131.308552
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| 4
| 94,545,944
|
A
|
G
| 0.004817
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| 275,488
| 58,791.995455
| 0.283949
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| 443,093
| 15,427.325478
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| 6,605.515718
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| 8,331.875509
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| 0.873598
| 0.120669
| 463,312
| 1,131.308552
| -0.15909
|
rs10000216
| 4
| 165,033,713
|
T
|
C
| 0.009936
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| 0.6617
| 0.086262
| 275,488
| 58,791.995455
| 0.437568
| -0.058269
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| 6,605.515718
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| 484,598
| 8,331.875509
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| 0.065268
| 463,312
| 1,131.308552
| 0.125168
|
rs1000022
| 13
| 99,808,965
|
C
|
T
| 0.003279
| 0.012921
| 0.799657
| 0.427111
| 275,488
| 58,791.995455
| 0.253791
| -0.030529
| 0.023304
| 0.1927
| 0.4294
| 443,093
| 15,427.325478
| -1.310046
| 0.000097
| 0.000168
| 0.561381
| 0.429372
| 361,141
| 6,605.515718
| 0.580793
| 0.000004
| 0.000143
| 0.97
| 0.444517
| 484,598
| 8,331.875509
| 0.026371
| 0.050677
| 0.085707
| 0.554331
| 0.475901
| 463,312
| 1,131.308552
| 0.591284
|
rs10000224
| 4
| 174,955,002
|
A
|
C
| 0.012089
| 0.013162
| 0.358398
| 0.374833
| 275,488
| 58,791.995455
| 0.918425
| -0.007968
| 0.024396
| 0.7522
| 0.3705
| 443,093
| 15,427.325478
| -0.326619
| 0.000121
| 0.000164
| 0.462886
| 0.374135
| 361,141
| 6,605.515718
| 0.734105
| 0.000088
| 0.000138
| 0.53
| 0.381161
| 484,598
| 8,331.875509
| 0.639706
| 0.12941
| 0.091564
| 0.15756
| 0.305234
| 463,312
| 1,131.308552
| 1.413322
|
rs10000226
| 4
| 86,817,814
|
C
|
T
| 0.006747
| 0.019664
| 0.731494
| 0.118582
| 275,488
| 58,791.995455
| 0.343139
| -0.023717
| 0.035443
| 0.5127
| 0.1175
| 443,093
| 15,427.325478
| -0.669142
| 0.000303
| 0.000245
| 0.216635
| 0.119062
| 361,141
| 6,605.515718
| 1.235526
| 0.000247
| 0.000207
| 0.23
| 0.119758
| 484,598
| 8,331.875509
| 1.194212
| 0.012933
| 0.154879
| 0.93345
| 0.079647
| 463,312
| 1,131.308552
| 0.083505
|
rs10000229
| 4
| 101,780,701
|
C
|
T
| 0.003102
| 0.054467
| 0.954579
| 0.013892
| 275,488
| 58,791.995455
| 0.056958
| 0.001601
| 0.108056
| 0.9879
| 0.0143
| 443,093
| 15,427.325478
| 0.014819
| 0.000872
| 0.000721
| 0.226199
| 0.013586
| 361,141
| 6,605.515718
| 1.210211
| 0.000663
| 0.000609
| 0.28
| 0.013587
| 484,598
| 8,331.875509
| 1.088765
| null | null | null | null | null | null | null |
rs10000232
| 4
| 15,355,667
|
A
|
C
| -0.005489
| 0.013308
| 0.679974
| 0.354389
| 275,488
| 58,791.995455
| -0.412498
| -0.01094
| 0.02467
| 0.6628
| 0.347
| 443,093
| 15,427.325478
| -0.443453
| 0.000319
| 0.000166
| 0.055274
| 0.354598
| 361,141
| 6,605.515718
| 1.916717
| 0.000249
| 0.00014
| 0.077
| 0.363649
| 484,598
| 8,331.875509
| 1.777811
| -0.032825
| 0.085563
| 0.701253
| 0.414444
| 463,312
| 1,131.308552
| -0.383629
|
rs1000023208
| 7
| 75,051,825
|
C
|
T
| -0.012705
| 0.050083
| 0.799738
| 0.017039
| 275,488
| 58,791.995455
| -0.253685
| null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
rs10000235
| 4
| 31,740,665
|
T
|
A
| -0.01704
| 0.014038
| 0.224802
| 0.29214
| 275,488
| 58,791.995455
| -1.213861
| -0.004988
| 0.030674
| 0.8577
| 0.2953
| 443,093
| 15,427.325478
| -0.162596
| null | null | null | null | null | null | null | null | null | null | null | null | null | null | -0.027503
| 0.088511
| 0.756007
| 0.382538
| 463,312
| 1,131.308552
| -0.310728
|
rs10000236
| 4
| 7,398,065
|
T
|
G
| 0.000571
| 0.015231
| 0.970084
| 0.228146
| 275,488
| 58,791.995455
| 0.037503
| 0.004912
| 0.027986
| 0.8605
| 0.2215
| 443,093
| 15,427.325478
| 0.175519
| 0.000057
| 0.00019
| 0.763224
| 0.22873
| 361,141
| 6,605.515718
| 0.301249
| 0.000033
| 0.000161
| 0.83
| 0.223123
| 484,598
| 8,331.875509
| 0.204853
| 0.023772
| 0.100938
| 0.813816
| 0.223307
| 463,312
| 1,131.308552
| 0.235507
|
rs10000241
| 4
| 77,275,486
|
T
|
G
| -0.009772
| 0.015396
| 0.525642
| 0.220839
| 275,488
| 58,791.995455
| -0.634674
| 0.040093
| 0.028053
| 0.1532
| 0.2168
| 443,093
| 15,427.325478
| 1.429177
| 0.000003
| 0.000192
| 0.988018
| 0.22095
| 361,141
| 6,605.515718
| 0.015018
| 0.000043
| 0.000161
| 0.79
| 0.222889
| 484,598
| 8,331.875509
| 0.265374
| 0.010316
| 0.095111
| 0.913629
| 0.265864
| 463,312
| 1,131.308552
| 0.108461
|
rs10000245
| 4
| 111,649,891
|
A
|
G
| 0.046606
| 0.044735
| 0.29749
| 0.0205
| 275,488
| 58,791.995455
| 1.041833
| 0.001401
| 0.078196
| 0.9856
| 0.0224
| 443,093
| 15,427.325478
| 0.017916
| -0.000369
| 0.000567
| 0.515155
| 0.020076
| 361,141
| 6,605.515718
| -0.650834
| -0.000134
| 0.000439
| 0.76
| 0.024693
| 484,598
| 8,331.875509
| -0.306483
| 0.167816
| 0.24041
| 0.485152
| 0.031976
| 463,312
| 1,131.308552
| 0.698041
|
rs10000246
| 4
| 101,401,803
|
G
|
A
| null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 0.00122
| 0.000729
| 0.096
| 0.010569
| 484,598
| 8,331.875509
| 1.672625
| null | null | null | null | null | null | null |
rs10000249
| 4
| 170,405,619
|
A
|
T
| 0.013623
| 0.014158
| 0.335966
| 0.282637
| 275,488
| 58,791.995455
| 0.962164
| 0.009041
| 0.027122
| 0.7406
| 0.2756
| 443,093
| 15,427.325478
| 0.333337
| 0.00024
| 0.000178
| 0.178846
| 0.280663
| 361,141
| 6,605.515718
| 1.344322
| 0.000162
| 0.000151
| 0.28
| 0.280207
| 484,598
| 8,331.875509
| 1.073331
| -0.019757
| 0.096764
| 0.838212
| 0.256938
| 463,312
| 1,131.308552
| -0.204182
|
rs10000252
| 4
| 3,214,757
|
C
|
T
| -0.035145
| 0.040666
| 0.387455
| 0.024725
| 275,488
| 58,791.995455
| -0.864243
| -0.022739
| 0.076627
| 0.7635
| 0.0249
| 443,093
| 15,427.325478
| -0.296755
| -0.000169
| 0.000513
| 0.742229
| 0.024747
| 361,141
| 6,605.515718
| -0.328904
| 0.000091
| 0.000436
| 0.84
| 0.024321
| 484,598
| 8,331.875509
| 0.209492
| 0.355558
| 0.372103
| 0.339307
| 0.013666
| 463,312
| 1,131.308552
| 0.955537
|
rs10000253
| 4
| 85,891,598
|
C
|
T
| null | null | null | null | null | null | null | -0.00995
| 0.024001
| 0.6915
| 0.4317
| 443,093
| 15,427.325478
| -0.414587
| 0.000319
| 0.00016
| 0.046023
| 0.451547
| 361,141
| 6,605.515718
| 1.995182
| 0.000415
| 0.000135
| 0.0022
| 0.462317
| 484,598
| 8,331.875509
| 3.062051
| null | null | null | null | null | null | null |
rs10000257
| 4
| 63,280,023
|
A
|
G
| null | null | null | null | null | null | null | 0.041447
| 0.032146
| 0.1965
| 0.1766
| 443,093
| 15,427.325478
| 1.28935
| null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
rs10000275
| 4
| 78,399,161
|
G
|
A
| -0.014023
| 0.02084
| 0.501031
| 0.103939
| 275,488
| 58,791.995455
| -0.672866
| -0.006976
| 0.039508
| 0.8628
| 0.1026
| 443,093
| 15,427.325478
| -0.176563
| 0.000227
| 0.000259
| 0.381572
| 0.105099
| 361,141
| 6,605.515718
| 0.875006
| 0.00024
| 0.000217
| 0.27
| 0.107008
| 484,598
| 8,331.875509
| 1.104776
| -0.197256
| 0.126209
| 0.11807
| 0.128234
| 463,312
| 1,131.308552
| -1.562931
|
rs10000276
| 4
| 116,541,674
|
G
|
A
| -0.004631
| 0.013608
| 0.73363
| 0.323245
| 275,488
| 58,791.995455
| -0.340301
| 0.024908
| 0.0247
| 0.312
| 0.3266
| 443,093
| 15,427.325478
| 1.008396
| 0.000074
| 0.000172
| 0.665243
| 0.324113
| 361,141
| 6,605.515718
| 0.432687
| 0.000127
| 0.000144
| 0.38
| 0.318147
| 484,598
| 8,331.875509
| 0.877641
| 0.09508
| 0.088866
| 0.284653
| 0.340233
| 463,312
| 1,131.308552
| 1.069925
|
rs10000279
| 4
| 71,120,704
|
A
|
C
| 0.002859
| 0.038359
| 0.940593
| 0.02835
| 275,488
| 58,791.995455
| 0.074524
| 0.079368
| 0.068223
| 0.2441
| 0.0295
| 443,093
| 15,427.325478
| 1.163361
| 0.000313
| 0.000478
| 0.512252
| 0.028559
| 361,141
| 6,605.515718
| 0.655335
| 0.000554
| 0.000404
| 0.17
| 0.028263
| 484,598
| 8,331.875509
| 1.37329
| 0.114758
| 0.251842
| 0.648622
| 0.028457
| 463,312
| 1,131.308552
| 0.455675
|
rs10000280
| 4
| 151,839,831
|
G
|
C
| -0.015599
| 0.013281
| 0.240202
| 0.643291
| 275,488
| 58,791.995455
| -1.174489
| 0.001301
| 0.024509
| 0.9577
| 0.6273
| 443,093
| 15,427.325478
| 0.053077
| -0.000133
| 0.000167
| 0.426774
| 0.355781
| 361,141
| 6,605.515718
| -0.794726
| -0.000174
| 0.00014
| 0.21
| 0.633722
| 484,598
| 8,331.875509
| -1.241952
| 0.072478
| 0.084719
| 0.392267
| 0.541092
| 463,312
| 1,131.308552
| 0.855513
|
rs10000283
| 4
| 104,151,524
|
A
|
C
| -0.003073
| 0.017244
| 0.85858
| 0.164067
| 275,488
| 58,791.995455
| -0.178182
| -0.022739
| 0.033264
| 0.4936
| 0.151
| 443,093
| 15,427.325478
| -0.683598
| 0.000209
| 0.000215
| 0.330438
| 0.164641
| 361,141
| 6,605.515718
| 0.973237
| 0.000196
| 0.000182
| 0.28
| 0.160897
| 484,598
| 8,331.875509
| 1.07587
| -0.030738
| 0.104692
| 0.769063
| 0.201149
| 463,312
| 1,131.308552
| -0.2936
|
rs10000284
| 4
| 68,803,465
|
T
|
C
| -0.042866
| 0.021232
| 0.043497
| 0.10262
| 275,488
| 58,791.995455
| -2.018915
| -0.00995
| 0.03902
| 0.8048
| 0.1
| 443,093
| 15,427.325478
| -0.255005
| 0.000311
| 0.000262
| 0.234257
| 0.103069
| 361,141
| 6,605.515718
| 1.189464
| 0.000382
| 0.000221
| 0.086
| 0.103192
| 484,598
| 8,331.875509
| 1.72737
| 0.206178
| 0.170787
| 0.227347
| 0.064022
| 463,312
| 1,131.308552
| 1.207223
|
End of preview.
ME/CFS GWAS Meta-analysis Summary Statistics
This dataset provides the summary statistics from a meta-analysis of three genome-wide association studies (GWAS) encompassing approximately 21,500 ME/CFS cases and 1,000,000 controls of European ancestry.
For full documentation, analysis scripts, and reproducibility details, visit the accompanying GitHub repository: https://github.com/paolomaccallini-hub/MetaME
License
gpl-3.0
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