Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 301 to 400 (from 4,261) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 43  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*01:01-C*02:02  Italy pop 5 0.2800975
 302  A*03:01-C*02:02  Italy pop 5 0.2800975
 303  A*32:01-B*27:02-C*02:02  Italy pop 5 0.2700975
 304  A*32:01-B*40:02-C*02:02  Italy pop 5 0.2700975
 305  A*02:131-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 306  A*68:01:02-B*40:06:01-C*02:02:02-DRB1*14:04:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 307  A*02:01:01:01-B*07:02:01-C*02:02:02:01-DRB1*15:01:01-DQB1*05:03:01  Russia Bashkortostan, Tatars 0.2604192
 308  A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 309  A*02:01:01:01-B*44:05:01-C*02:02:02:01-DRB1*01:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 310  A*02:01:01:01-B*44:05:01-C*02:02:02:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 311  A*02:06:01-B*27:05:02-C*02:02:02:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 312  A*11:01:01:01-B*57:01:01-C*02:02:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 313  A*24:02:01:01-B*27:05:02-C*02:02:02:01-DRB1*04:08:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 314  A*24:02:01:01-B*27:05:02-C*02:02:02:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 315  A*24:02:01:01-B*44:05:01-C*02:02:02:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 316  A*32:01:01-B*27:02:01-C*02:02:02:01-DRB1*16:01:01-DQB1*05:02:01  Russia Bashkortostan, Tatars 0.2604192
 317  A*32:01:01-B*40:02:01-C*02:02:02:01-DRB1*09:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 318  A*02:01-B*27:02-C*02:02-DRB1*11:04-DQA1*01:02-DQB1*05:02-DPB1*04:02  USA San Diego 0.2600496
 319  A*02:01-B*27:05-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 320  A*02:01-B*40:01-C*02:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 321  A*02:01-B*51:01-C*02:02-DRB1*09:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 322  A*11:01-B*40:02-C*02:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  USA San Diego 0.2600496
 323  A*11:01-B*44:03-C*02:02-DRB1*01:02-DQA1*03:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 324  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 325  A*26:01-B*13:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  USA San Diego 0.2600496
 326  A*29:02-B*51:01-C*02:02-DRB1*16:09-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 327  A*32:01-B*27:05-C*02:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 328  A*33:01-B*27:05-C*02:02-DRB1*04:04-DQA1*01:01-DQB1*03:02-DPB1*04:01  USA San Diego 0.2600496
 329  A*68:01-B*51:01-C*02:02-DRB1*14:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  USA San Diego 0.2600496
 330  A*24:02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.25841,510
 331  A*02:01-B*44:05-C*02:02-DRB1*16:01  Poland DKMS 0.257420,653
 332  A*02:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Romania minority 0.25201,234
 333  A*02:01-B*44:05-C*02:02-DRB1*16:01  Germany DKMS - Greece minority 0.25101,894
 334  A*33:01-B*44:03-C*02:02-DRB1*01:02-DQB1*05:01  USA NMDP Caribean Indian 0.246714,339
 335  A*02:01-B*27:05-C*02:02-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.24501,028
 336  A*25:01-B*40:02-C*02:02-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.24301,028
 337  A*32:01-B*40:02-C*02:02-DRB1*16:02  Germany DKMS - Bosnia and Herzegovina minority 0.24301,028
 338  A*32:01-B*40:02-C*02:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.23921,463
 339  A*23:01-B*15:03-C*02:02-DRB1*11:01-DQB1*03:01  USA NMDP Black South or Central American 0.23654,889
 340  A*03:01-B*51:01-C*02:02-DRB1*11:01  Germany DKMS - France minority 0.23501,406
 341  A*32:01-B*27:05-C*02:02-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.23401,028
 342  A*24:02-B*44:03-C*02:02-DRB1*01:02-DQB1*05:01  USA NMDP Caribean Indian 0.232414,339
 343  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.23181,510
 344  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 345  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 346  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*11:02:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 347  A*03:01:01-B*14:02:01-C*02:02:02-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 348  A*26:01:01-B*14:02:01-C*02:02:02-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 349  A*31:01:02-B*35:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 350  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 351  A*32:01:01-B*44:05-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 352  A*24:02-B*40:02-C*02:02-DRB1*11:01  Poland DKMS 0.227620,653
 353  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*11:04:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 354  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 355  B*27:02-C*02:02  USA Hispanic pop 2 0.22601,999
 356  A*24:02-B*44:02-C*02:02-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.223614,339
 357  A*32:01-B*40:02-C*02:02-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.222214,339
 358  A*02:01-B*27:05-C*02:02-DRB1*14:02-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.22021,376
 359  A*32:01-B*40:02-C*02:02-DRB1*11:01  Poland DKMS 0.219920,653
 360  A*02:01-B*27:05-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.21851,075
 361  A*01:01-B*15:03-C*02:02-DRB1*11:10-DQB1*06:02  USA African American pop 4 0.21802,411
 362  A*23:01-B*18:01-C*02:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.21802,411
 363  A*24:02-B*44:05-C*02:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.21801,374
 364  A*33:03-B*15:03-C*02:02-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.21802,411
 365  A*02:01-B*14:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*04:01  Nicaragua Managua 0.2165339
 366  A*02:01-B*27:05-C*02:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*17:01  Nicaragua Managua 0.2165339
 367  A*02:01-B*39:05-C*02:02-DRB1*14:06-DQA1*03:01-DQB1*03:01-DPB1*01:01  Nicaragua Managua 0.2165339
 368  A*03:01-B*35:189-C*02:02-DRB1*14:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 369  A*24:02-B*18:05-C*02:02-DRB1*11:04-DQA1*01:02-DQB1*05:02-DPB1*01:01  Nicaragua Managua 0.2165339
 370  A*24:02-B*39:06-C*02:02-DRB1*01:03-DQA1*01:01-DQB1*05:02-DPB1*01:01  Nicaragua Managua 0.2165339
 371  A*24:02-B*44:05-C*02:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 372  A*30:02-B*57:03-C*02:02-DRB1*13:01-DQA1*01:02-DQB1*05:01-DPB1*17:01  Nicaragua Managua 0.2165339
 373  A*68:02-B*40:02-C*02:02-DRB1*11:04-DQA1*01:01-DQB1*05:01-DPB1*11:01  Nicaragua Managua 0.2165339
 374  A*68:03-B*35:43-C*02:02-DRB1*04:04-DQA1*03:01-DQB1*06:05-DPB1*04:02  Nicaragua Managua 0.2165339
 375  A*24:02-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Romania minority 0.21501,234
 376  A*24:02-B*14:02-C*02:02-DRB1*01:02  Germany DKMS - Portugal minority 0.21301,176
 377  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.211323,595
 378  B*14:02-C*02:02  Mexico Mexico City Mestizo pop 2 0.2100234
 379  B*27:03-C*02:02  Mexico Mexico City Mestizo pop 2 0.2100234
 380  B*39:05-C*02:02  Mexico Mexico City Mestizo pop 2 0.2100234
 381  B*40:02-C*02:02  Mexico Mexico City Mestizo pop 2 0.2100234
 382  A*02:01-B*27:05-C*02:02-DRB1*14:02-DQB1*03:01  USA NMDP American Indian South or Central America 0.20875,926
 383  A*02:01-B*51:01-C*02:02-DRB1*04:01  Germany DKMS - Portugal minority 0.20801,176
 384  B*27:03-C*02:02  USA African American pop 4 0.20802,411
 385  A*32:01-B*40:02-C*02:02-DRB1*13:01  Germany DKMS - Portugal minority 0.20701,176
 386  A*02:01-B*51:01-C*02:02-DRB1*11:01  Germany DKMS - Austria minority 0.20501,698
 387  A*02:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*04:02  Russia Karelia 0.20401,075
 388  A*23:01-B*15:03-C*02:02-DRB1*11:01-DQB1*06:02  USA NMDP Caribean Indian 0.203914,339
 389  A*02:01-B*44:05-C*02:02-DRB1*16:01  Germany DKMS - Romania minority 0.20301,234
 390  A*02:01-B*27:05-C*02:02-DRB1*11:01  Germany DKMS - Netherlands minority 0.20101,374
 391  A*02:01-B*27:05-C*02:02-DRB1*09:01-DQB1*03:03  USA NMDP Alaska Native or Aleut 0.20051,376
 392  A*01:01-B*27:05-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 393  A*01:01-B*40:02-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  England North West 0.2000298
 394  A*01:06-B*27:05-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01  England North West 0.2000298
 395  A*02:01-B*27:05-C*02:02:02-DRB1*04:01:01-DQB1*03:01  England North West 0.2000298
 396  A*02:01-B*27:05-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01  England North West 0.2000298
 397  A*02:01-B*27:05-C*02:02-DRB1*03:01  Italy pop 5 0.2000975
 398  A*02:01-B*51:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 399  A*03:01-B*14:02:01-C*02:02:02-DRB1*01:02:01-DQB1*05:01:01  England North West 0.2000298
 400  A*03:01-B*18:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298

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 4,261) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 43  


   

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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