Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 301 to 400 (from 1,872) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*29:02:01-B*49:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 302  A*29:02:01-B*50:01:01-C*04:01:01-DRB1*13:03:02-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 303  A*29:02:01-B*51:01:01-C*12:03:01-DRB1*08:01:01-DQB1*04:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 304  A*29:02:01-B*51:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 305  A*29:02:01-B*57:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 306  A*29:02-B*44:03-C*16:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 307  A*29:02-B*44:03-C*16:01-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 308  A*29:02-B*44:03-C*16:01-DRB1*04:11-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 309  A*29:02-B*44:03-C*16:01-DRB1*08:01-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 310  A*29:02-B*44:03-C*16:01-DRB1*11:04-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 311  A*29:02:01-B*35:01:01-C*07:01:01-DRB1*14:02-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 312  A*29:02:01-B*35:14:01-C*01:02:01-DRB1*11:02:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 313  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 314  A*29:02:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 315  A*29:02-B*44:03-C*16:01-DRB1*13:01  Germany DKMS - Spain minority 0.22401,107
 316  A*29:02-B*58:01-DRB1*13:02  Israel YemenJews 0.222015,542
 317  A*29:02-B*44:03-DRB1*07:01  Israel Poland Jews 0.221013,871
 318  A*29:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  Nicaragua Managua 0.2165339
 319  A*29:02-B*15:10-C*03:04-DRB1*04:10-DQA1*05:01-DQB1*02:01-DPB1*04:01  Nicaragua Managua 0.2165339
 320  A*29:02-B*39:06-C*06:02-DRB1*01:02-DQA1*05:01-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 321  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  Nicaragua Managua 0.2165339
 322  A*29:02-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Nicaragua Managua 0.2165339
 323  A*29:02-B*81:01-C*03:04-DRB1*01:02-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 324  A*29:02-B*81:01-C*18:01-DRB1*08:04-DQA1*04:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.2165339
 325  A*29:02:01-B*07:02:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.2149519
 326  A*29:02-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.20141,463
 327  A*29:02:01-B*07:02-C*03:03-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 328  A*29:02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 329  A*29:02:01-B*15:16-C*14:02:01-DRB1*04:01:01-DQB1*03:01  England North West 0.2000298
 330  A*29:02:01-B*40:01-C*03:04-DRB1*12:01-DQB1*06:03:01  England North West 0.2000298
 331  A*29:02:01-B*44:03-C*16:01:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 332  A*29:02:01-B*56:01-C*01:02-DRB1*08:01-DQB1*04:02  England North West 0.2000298
 333  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.19793,456,066
 334  A*29:02-B*15:03-DRB1*07:01  Israel Tunisia Jews 0.19609,070
 335  A*29:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 336  A*29:02:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 337  A*29:02:01-B*15:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 338  A*29:02:01-B*15:03:01-C*16:01:01-DRB1*04:03:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 339  A*29:02:01-B*18:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 340  A*29:02:01-B*44:03:01-C*02:10:01-DRB1*08:04:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 341  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 342  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 343  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 344  A*29:02:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 345  A*29:02:01-B*53:01:01-C*02:10:01-DRB1*13:02:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 346  A*29:02:01-B*58:01:01-C*07:18:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 347  A*29:02-B*44:03-C*16:01-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.19201,999
 348  A*29:02-B*44:03-C*16:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.19201,999
 349  A*29:02-B*40:02-C*16:01-DRB1*07:01-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 350  A*29:02-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01-DPB1*11:01  Panama 0.1900462
 351  A*29:02-B*44:02-C*16:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Panama 0.1900462
 352  A*29:02-B*45:01-C*06:02-DRB1*15:03-DQB1*06:03-DPB1*02:02  Panama 0.1900462
 353  A*29:02-B*49:01-C*07:01-DRB1*15:03-DQB1*06:02-DPB1*04:02  Panama 0.1900462
 354  A*29:02-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02-DPB1*03:01  Panama 0.1900462
 355  A*29:02-B*55:01-C*03:03-DRB1*14:01-DQB1*05:03-DPB1*04:01  Panama 0.1900462
 356  A*29:02-B*13:02  USA African American pop 4 0.18602,411
 357  A*29:02-B*45:01-C*06:02-DRB1*04:01  Germany DKMS - Netherlands minority 0.18201,374
 358  A*29:02-B*44:03-C*16:01-DRB1*01:01  Germany DKMS - Spain minority 0.18101,107
 359  A*29:02-B*44:03-C*16:01-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.180714,339
 360  A*29:02-B*35:02-C*04:01  Italy pop 5 0.1800975
 361  A*29:02-B*14:02-DRB1*07:01  Israel Argentina Jews 0.17304,307
 362  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.17101,463
 363  A*29:02-B*44:03-DRB1*07:01  Israel Tunisia Jews 0.17109,070
 364  A*29:02-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Portugal minority 0.17001,176
 365  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.16931,075
 366  A*29:02-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 367  A*29:02-B*49:01-C*07:01-DRB1*15:03-DQB1*06:02  USA NMDP Black South or Central American 0.16884,889
 368  A*29:02-B*15:03  USA African American pop 4 0.16002,411
 369  A*29:02-C*03:03  Italy pop 5 0.1600975
 370  A*29:02-C*07:01  Italy pop 5 0.1600975
 371  A*29:02-B*07:04-C*07:05-DRB1*03:01-DQB1*02:01-DPB1*18:01  Tanzania Maasai 0.1597336
 372  A*29:02-B*07:05-C*15:05-DRB1*01:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 373  A*29:02-B*13:02-C*06:27-DRB1*01:01-DQB1*03:01-DPB1*15:01  Tanzania Maasai 0.1597336
 374  A*29:02-B*15:17-C*17:01-DRB1*10:01-DQB1*06:09-DPB1*105:01  Tanzania Maasai 0.1597336
 375  A*29:02-B*18:01-C*17:01-DRB1*04:10-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 376  A*29:02-B*35:87-C*07:02-DRB1*03:02-DQB1*03:01-DPB1*01:01  Tanzania Maasai 0.1597336
 377  A*29:02-B*39:10-C*12:03-DRB1*07:01-DQB1*02:02-DPB1*01:01  Tanzania Maasai 0.1597336
 378  A*29:02-B*42:01-C*17:17-DRB1*11:04-DQB1*03:01-DPB1*17:01  Tanzania Maasai 0.1597336
 379  A*29:02-B*45:01-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.1597336
 380  A*29:02-B*47:03-C*07:06-DRB1*13:01-DQB1*04:02-DPB1*14:01  Tanzania Maasai 0.1597336
 381  A*29:02-B*49:01-C*07:65-DRB1*04:05-DQB1*03:01-DPB1*17:01  Tanzania Maasai 0.1597336
 382  A*29:02-B*53:01-C*02:02-DRB1*11:02-DQB1*03:01-DPB1*04:02  Tanzania Maasai 0.1597336
 383  A*29:02-B*53:01-C*02:02-DRB1*11:02-DQB1*03:01-DPB1*105:01  Tanzania Maasai 0.1597336
 384  A*29:02-B*53:01-C*06:76-DRB1*03:01-DQB1*02:01-DPB1*04:01  Tanzania Maasai 0.1597336
 385  A*29:02-B*53:01-C*07:01-DRB1*13:02-DQB1*05:01-DPB1*11:01  Tanzania Maasai 0.1597336
 386  A*29:02-B*58:01-C*07:06-DRB1*11:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 387  A*29:02-B*81:01-C*17:01-DRB1*03:02-DQB1*04:02-DPB1*04:02  Tanzania Maasai 0.1597336
 388  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Greece minority 0.15801,894
 389  A*29:02-B*44:03-DRB1*11:04  Israel Tunisia Jews 0.15809,070
 390  A*29:02-B*44:03-C*04:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.15502,411
 391  A*29:02-B*44:03-DRB1*07:01  Israel USA Jews 0.15406,058
 392  A*29:02-B*14:02-DRB1*07:01  Israel USSR Jews 0.153045,681
 393  A*29:02-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  USA NMDP Caribean Indian 0.152914,339
 394  A*29:02-B*44:02-C*05:01-DRB1*13:01  Germany DKMS - Netherlands minority 0.15001,374
 395  A*29:02-B*44:03-DRB1*07:01  Israel Arab pop 2 0.148012,301
 396  A*29:02-B*44:03-C*16:01-DRB1*14:01  Germany DKMS - Bosnia and Herzegovina minority 0.14601,028
 397  A*29:02-B*58:01-C*07:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.14404,856
 398  A*29:02-B*07:02  USA African American pop 4 0.14302,411
 399  A*29:02-B*44:03-DRB1*07:01  Israel Morocco Jews 0.141036,718
 400  A*29:02:01-B*35:03:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 301 to 400 (from 1,872) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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