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 601 to 700 (from 2,790) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  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
 602  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 603  A*33:03-B*42:02-C*17:01-DRB1*12:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 604  A*68:05-B*39:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 605  DRB1*08:03:02-DQB1*06:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.2280496
 606  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.22593,456,066
 607  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.22541,075
 608  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.22315,266
 609  DRB1*15:02:01-DQB1*06:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.2210496
 610  A*02:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*02:01  Russia Karelia 0.21901,075
 611  DRB1*04:05-DQB1*02:02-DPB1*02:01  Gambia pop 3 0.2177939
 612  DRB1*08:04-DQB1*05:01-DPB1*02:01  Gambia pop 3 0.2177939
 613  DRB1*13:03-DQB1*03:01-DPB1*02:01  Gambia pop 3 0.2177939
 614  DRB1*13:04-DQB1*05:01-DPB1*02:01  Gambia pop 3 0.2177939
 615  A*01:01-B*44:03-C*12:03-DRB1*15:01-DQA1*01:02-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 616  A*02:01-B*15:01-C*07:04-DRB1*11:04-DQA1*01:01-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 617  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQA1*01:01-DQB1*06:02-DPB1*02:01  Nicaragua Managua 0.2165339
 618  A*02:01-B*37:01-C*06:02-DRB1*04:02-DQA1*03:01-DQB1*03:02-DPB1*02:01  Nicaragua Managua 0.2165339
 619  A*02:01-B*40:02-C*03:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 620  A*02:06-B*41:02-C*17:01-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 621  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
 622  A*03:01-B*44:03-C*03:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 623  A*11:01-B*44:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Nicaragua Managua 0.2165339
 624  A*11:01-B*55:01-C*03:03-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*02:01  Nicaragua Managua 0.2165339
 625  A*23:01-B*50:01-C*05:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01  Nicaragua Managua 0.2165339
 626  A*23:01-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Nicaragua Managua 0.2165339
 627  A*24:02-B*35:01-C*08:02-DRB1*07:01-DQA1*02:01-DQB1*04:02-DPB1*02:01  Nicaragua Managua 0.2165339
 628  A*24:02-B*40:08-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:02-DPB1*02:01  Nicaragua Managua 0.2165339
 629  A*24:02-B*52:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:01-DPB1*02:01  Nicaragua Managua 0.2165339
 630  A*24:07-B*35:08-C*04:01-DRB1*11:01-DQA1*01:01-DQB1*05:03-DPB1*02:01  Nicaragua Managua 0.2165339
 631  A*25:01-B*18:01-C*12:03-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 632  A*26:01-B*35:43-C*01:02-DRB1*04:02-DQA1*03:01-DQB1*03:02-DPB1*02:01  Nicaragua Managua 0.2165339
 633  A*26:01-B*81:01-C*18:01-DRB1*09:01-DQA1*01:01-DQB1*02:02-DPB1*02:01  Nicaragua Managua 0.2165339
 634  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
 635  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
 636  A*31:01-B*40:01-C*03:04-DRB1*08:01-DQA1*04:01-DQB1*04:02-DPB1*02:01  Nicaragua Managua 0.2165339
 637  A*31:01-B*44:10-C*04:01-DRB1*11:01-DQA1*03:01-DQB1*06:02-DPB1*02:01  Nicaragua Managua 0.2165339
 638  A*32:01-B*35:01-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Nicaragua Managua 0.2165339
 639  A*68:01-B*08:01-C*07:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 640  A*68:01-B*08:01-C*07:01-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 641  A*68:01-B*40:02-C*03:05-DRB1*13:05-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 642  A*68:02-B*41:01-C*07:01-DRB1*13:05-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 643  A*68:02-B*49:01-C*07:27-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*02:01  Nicaragua Managua 0.2165339
 644  A*68:03-B*35:43-C*05:01-DRB1*14:02-DQA1*05:01-DQB1*02:02-DPB1*02:01  Nicaragua Managua 0.2165339
 645  A*68:03-B*40:02-C*03:05-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*02:01  Nicaragua Managua 0.2165339
 646  A*68:03-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 647  A*69:01-B*38:01-C*12:03-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Nicaragua Managua 0.2165339
 648  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 649  A*01:01-B*57:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 650  A*03:01-B*15:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.2101714
 651  A*03:01-B*35:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.2101714
 652  A*11:01-B*13:01-C*04:03-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 653  A*11:01-B*35:01-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.2101714
 654  A*11:01-B*55:01-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.2101714
 655  A*24:02-B*15:01-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.2101714
 656  A*24:02-B*18:01-C*07:01-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 657  A*24:02-B*35:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.2101714
 658  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.2101714
 659  A*33:03-B*58:01-C*03:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.2101714
 660  A*33:03-B*58:01-C*03:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.2101714
 661  DRB1*11:01-DQB1*03:01-DPB1*02:01  Gambia pop 3 0.2012939
 662  A*02:06-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 663  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 664  A*02:06-B*48:01-C*08:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 665  A*24:02-B*59:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 666  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*04:06:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.19975,266
 667  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.19665,266
 668  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 669  A*01:01:01-B*14:01:01-C*04:01:01-DRB1*11:04:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 670  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 671  A*01:01:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 672  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 673  A*01:01:01-B*40:01:02-C*07:07-DRB1*12:05-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 674  A*01:01:01-B*44:04-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 675  A*01:01:01-B*45:01:01-C*16:01:01-DRB1*03:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 676  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 677  A*01:01:01-B*50:02-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 678  A*01:01:01-B*51:01:01-C*07:01:02-DRB1*15:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 679  A*01:01:01-B*58:01:01-C*07:18:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 680  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 681  A*02:01:01-B*18:01:01-C*02:10:01-DRB1*11:01:02-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 682  A*02:01:01-B*18:01:01-C*03:03:01-DRB1*11:04:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 683  A*02:01:01-B*27:05:02-C*06:02:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 684  A*02:01:01-B*35:08:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 685  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 686  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 687  A*02:01:01-B*44:03:01-C*07:01:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 688  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*04:05:01-DQB1*02:01:01-DPA1*02:01:08-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 689  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 690  A*02:02:01-B*15:03:01-C*02:10:01-DRB1*15:03:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 691  A*02:05:01-B*35:02:01-C*06:02:01-DRB1*11:04:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 692  A*02:05:01-B*35:03:01-C*04:01:01-DRB1*13:05:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 693  A*02:07:01-B*51:02:01-C*15:02:01-DRB1*14:54:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 694  A*03:01:01-B*07:02:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 695  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 696  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 697  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 698  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*13:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 699  A*11:01:01-B*14:01:01-C*03:03:01-DRB1*07:01:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 700  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*12:10-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521

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 601 to 700 (from 2,790) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  


   

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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