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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 401 to 500 (from 3,763) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 38  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*25:01:01-B*49:01:01-C*07:01:01-DRB1*04:01:01-DQA1*01:02:02-DQB1*03:02-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 402  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*04:01:01-DQA1*02:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*19:01  Russia Belgorod region 0.3268153
 403  A*03:01:01-B*35:12:01-C*04:01:01-DRB1*04:01:01  Nicaragua Mestizo (G) 0.3226155
 404  A*01:03-B*18:01-C*07:04-DRB1*04:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.3195336
 405  A*02:01-B*15:17-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*04:01  Tanzania Maasai 0.3195336
 406  A*24:02-B*15:18-C*07:04-DRB1*04:01  Japan pop 16 0.318018,604
 407  A*02:01:01-B*15:01:01-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 408  A*02:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*126:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 409  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 410  A*02:01:01-B*57:01:01-C*03:03:01-DRB1*04:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*416:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 411  A*31:01:02-B*49:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 412  A*68:01:02-B*15:04:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*126:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 413  A*02:01-B*15:01-C*03:04-DRB1*04:01  Germany DKMS - Croatia minority 0.31102,057
 414  DRB1*04:01-DQB1*03:02  USA Asian pop 2 0.30401,772
 415  A*02:01-B*51:01-DRB1*04:01-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 416  A*03:01-B*51:08-DRB1*04:01  Israel Ethiopia Jews 0.30205,928
 417  DRB1*04:01:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.3020496
 418  A*01:01-B*07:02-C*07:02-DRB1*04:01-DQA1*05:02-DQB1*03:02-DPB1*04:02  South Africa Worcester 0.3000159
 419  A*01:01-B*08:01-C*02:10-DRB1*04:01-DQA1*02:01-DQB1*06:02-DPB1*17:01  South Africa Worcester 0.3000159
 420  A*01:23-B*57:01-C*06:02-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  South Africa Worcester 0.3000159
 421  A*01:23-B*58:01-C*06:02-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPB1*34:01  South Africa Worcester 0.3000159
 422  A*02:01-B*08:01-C*07:01-DRB1*04:01:01-DQB1*03:02:01  England North West 0.3000298
 423  A*02:01-B*15:01-C*12:03-DRB1*04:01:01-DQB1*03:02:01  England North West 0.3000298
 424  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  South Africa Worcester 0.3000159
 425  A*02:01-B*45:01-C*02:10-DRB1*04:01-DQA1*05:01-DQB1*06:03-DPB1*16:01  South Africa Worcester 0.3000159
 426  A*02:01-B*58:01-C*05:01-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 427  A*02:02-B*15:03-C*02:10-DRB1*04:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 428  A*02:05-B*41:01-C*17:01-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 429  A*02:05-B*44:03-C*02:10-DRB1*04:01-DQA1*02:01-DQB1*03:02-DPB1*17:01  South Africa Worcester 0.3000159
 430  A*02:05-B*44:03-C*02:10-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*11:01  South Africa Worcester 0.3000159
 431  A*02:05-B*58:02-C*06:02-DRB1*04:01-DQA1*01:02-DQB1*03:01-DPB1*14:01  South Africa Worcester 0.3000159
 432  A*02-B*35-DRB1*04:01  Colombia Barranquilla 0.3000188
 433  A*02-B*40-DRB1*04:01  USA NMDP Caucasian 0.30002,361,208
 434  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 435  A*03:01-B*35:01-C*04:01-DRB1*04:01  Italy pop 5 0.3000975
 436  A*03-B*07-DRB1*04:01  USA NMDP Caucasian 0.30002,361,208
 437  A*03-B*15-DRB1*04:01  USA NMDP Caucasian 0.30002,361,208
 438  A*23:01-B*15:05-C*03:03-DRB1*04:01-DQA1*01:04-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 439  A*24:02-B*15:24-C*03:03-DRB1*04:01-DQA1*05:01-DQB1*03:02-DPB1*11:01  South Africa Worcester 0.3000159
 440  A*24:07-B*58:02-C*08:01-DRB1*04:01-DQA1*03:01-DQB1*06:01-DPB1*04:02  South Africa Worcester 0.3000159
 441  A*30:01-B*58:01-C*06:02-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPB1*09:01  South Africa Worcester 0.3000159
 442  A*31:01-B*27:05-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01  England North West 0.3000298
 443  A*32:01-B*40:02-C*02:10-DRB1*04:01-DQA1*03:01-DQB1*03:03-DPB1*04:01  South Africa Worcester 0.3000159
 444  A*43:01-B*15:10-C*04:01-DRB1*04:01-DQA1*03:03-DQB1*02:01-DPB1*105:01  South Africa Worcester 0.3000159
 445  A*43:01-B*27:05-C*02:02-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPB1*01:01  South Africa Worcester 0.3000159
 446  A*43:01-B*58:02-C*04:01-DRB1*04:01-DQA1*03:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.3000159
 447  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Caribean Hispanic 0.2972115,374
 448  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.29691,376
 449  A*02:01-B*15:01-C*03:03-DRB1*04:01  Germany DKMS - Bosnia and Herzegovina minority 0.29201,028
 450  A*03:01-B*35:01-C*04:01-DRB1*04:01-DQB1*03:02  Italy pop 5 0.2900975
 451  A*02:11:01-B*13:02:01-C*12:02:02-DRB1*04:01:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 452  A*01:01-B*37:01-C*06:02-DRB1*04:01  Germany DKMS - United Kingdom minority 0.28601,043
 453  A*02:01-B*44:02-DRB1*04:01  Croatia pop 4 0.28004,000
 454  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.27851,075
 455  DRB1*04:01-DQB1*03:02-DPB1*02:01  Gambia pop 3 0.2769939
 456  A*02:01-B*15:01-C*03:04-DRB1*04:01  Germany DKMS - Portugal minority 0.27601,176
 457  A*01-B*41-DRB1*04:01  Colombia Barranquilla 0.2700188
 458  A*02-B*40-DRB1*04:01  Colombia Barranquilla 0.2700188
 459  A*23-B*38-DRB1*04:01  Colombia Barranquilla 0.2700188
 460  A*23-B*47-DRB1*04:01  Colombia Barranquilla 0.2700188
 461  A*24-B*39-DRB1*04:01  Colombia Barranquilla 0.2700188
 462  A*24-B*55-DRB1*04:01  Colombia Barranquilla 0.2700188
 463  A*26-B*38-DRB1*04:01  Colombia Barranquilla 0.2700188
 464  A*29-B*40-DRB1*04:01  Colombia Barranquilla 0.2700188
 465  A*29-B*57-DRB1*04:01  Colombia Barranquilla 0.2700188
 466  A*30-B*27-DRB1*04:01  Colombia Barranquilla 0.2700188
 467  A*32-B*18-DRB1*04:01  Colombia Barranquilla 0.2700188
 468  A*33-B*40-DRB1*04:01  Colombia Barranquilla 0.2700188
 469  A*34-B*50-DRB1*04:01  Colombia Barranquilla 0.2700188
 470  A*66-B*41-DRB1*04:01  Colombia Barranquilla 0.2700188
 471  A*68-B*48-DRB1*04:01  Colombia Barranquilla 0.2700188
 472  A*74-B*58-DRB1*04:01  Colombia Barranquilla 0.2700188
 473  A*80-B*45-DRB1*04:01  Colombia Barranquilla 0.2700188
 474  A*02:11:01-B*15:01:01-C*01:02:01-DRB1*04:01:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 475  A*03:01:01-B*40:06:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 476  A*24:02:01-B*15:08:01-C*01:02:01-DRB1*04:01:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 477  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 478  A*03:01-B*07:02-C*07:02-DRB1*04:01  Germany DKMS - Austria minority 0.26701,698
 479  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA Hispanic pop 2 0.26601,999
 480  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:02  USA NMDP American Indian South or Central America 0.26405,926
 481  A*03:01-B*51:01-C*14:02-DRB1*04:01-DQB1*03:02  USA NMDP Caribean Indian 0.260914,339
 482  A*01:01:01:01-B*40:02:01-C*03:04:01-DRB1*04:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 483  A*01:01:01:01-B*44:02:01:01-C*08:02:01-DRB1*04:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 484  A*03:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*04:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 485  A*11:01:01:01-B*37:01:01-C*12:03:01-DRB1*04:01:01-DQB1*05:02:01  Russia Bashkortostan, Tatars 0.2604192
 486  A*11:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 487  A*11:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.2604192
 488  A*23:01:01-B*58:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 489  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 490  A*24:02:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 491  A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*04:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 492  A*01:01-B*15:01-C*03:03-DRB1*04:01-DQA1*02:01-DQB1*02:02-DPB1*15:01  USA San Diego 0.2600496
 493  A*02:01-B*08:01-C*07:01-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Diego 0.2600496
 494  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  USA San Diego 0.2600496
 495  A*02:01-B*15:01-C*04:04-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*13:01  USA San Diego 0.2600496
 496  A*02:01-B*37:01-C*06:02-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*17:01  USA San Diego 0.2600496
 497  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 498  A*02:01-B*48:01-C*06:02-DRB1*04:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 499  A*02:01-B*57:01-C*06:02-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.2600496
 500  A*02:01-B*57:01-C*06:02-DRB1*04:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Diego 0.2600496

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 401 to 500 (from 3,763) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 38  


   

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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