Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 501 to 600 (from 2,790) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*29:01-B*44:03-C*07:01-DRB1*07:01-DQA1*03:03-DQB1*02:02-DPB1*02:01  South Africa Worcester 0.3000159
 502  A*29:01-B*58:02-C*07:04-DRB1*12:01-DQA1*01:01-DQB1*04:02-DPB1*02:01  South Africa Worcester 0.3000159
 503  A*30:01-B*15:03-C*02:10-DRB1*03:17-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.3000159
 504  A*30:01-B*15:03-C*02:10-DRB1*11:01-DQA1*05:05-DQB1*06:09-DPB1*02:01  South Africa Worcester 0.3000159
 505  A*30:01-B*58:01-C*06:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.3000159
 506  A*30:02-B*53:01-C*12:03-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.3000159
 507  A*34:02-B*07:02-C*07:02-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Africa Worcester 0.3000159
 508  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  South Africa Worcester 0.3000159
 509  A*66:03-B*53:01-C*02:10-DRB1*11:01-DQA1*01:01-DQB1*03:01-DPB1*02:01  South Africa Worcester 0.3000159
 510  A*68:01-B*14:01-C*08:04-DRB1*15:03-DQA1*05:01-DQB1*03:01-DPB1*02:01  South Africa Worcester 0.3000159
 511  A*68:02-B*42:01-C*17:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  South Africa Worcester 0.3000159
 512  A*68:02-B*58:02-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  South Africa Worcester 0.3000159
 513  A*74:01-B*58:02-C*07:01-DRB1*13:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.3000159
 514  DRB1*13:01-DQB1*03:02-DPB1*02:01  Gambia pop 3 0.2903939
 515  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.29003,078
 516  A*31:01-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.29003,078
 517  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.28861,075
 518  A*02:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.28531,075
 519  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.28233,456,066
 520  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Russia Karelia 0.28231,075
 521  A*33:03-B*53:01-C*04:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.2804570
 522  A*24:02-B*15:01-C*01:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.2801714
 523  DRB1*04:01-DQB1*03:02-DPB1*02:01  Gambia pop 3 0.2769939
 524  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.27231,075
 525  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*02:01  Russia Karelia 0.27021,075
 526  DQB1*04:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.2690496
 527  DQB1*06:09-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.2690496
 528  DRB1*14:05:01-DQB1*05:03-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.2680496
 529  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 0.26601,075
 530  A*01:01-B*08:01-C*07:01-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  USA San Diego 0.2600496
 531  A*01:01-B*35:55-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  USA San Diego 0.2600496
 532  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 533  A*02:01-B*27:05-C*01:02-DRB1*01:03-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 534  A*02:01-B*27:10-C*15:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 535  A*02:01-B*27:10-C*15:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 536  A*02:01-B*35:01-C*04:01-DRB1*13:03-DQA1*01:02-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 537  A*02:01-B*35:08-C*04:01-DRB1*04:07-DQA1*01:03-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 538  A*02:01-B*39:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 539  A*02:01-B*40:01-C*03:04-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 540  A*02:01-B*51:01-C*15:02-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.2600496
 541  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
 542  A*02:03-B*54:01-C*03:17-DRB1*04:05-DQA1*03:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 543  A*02:06-B*54:01-C*08:01-DRB1*08:03-DQA1*01:01-DQB1*05:02-DPB1*02:01  USA San Diego 0.2600496
 544  A*02:07-B*35:01-C*03:03-DRB1*14:05-DQA1*01:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 545  A*03:01-B*15:16-C*04:01-DRB1*15:03-DQA1*05:01-DQB1*06:02-DPB1*02:01  USA San Diego 0.2600496
 546  A*03:01-B*35:01-C*16:01-DRB1*01:01-DQA1*01:01-DQB1*04:02-DPB1*02:01  USA San Diego 0.2600496
 547  A*03:01-B*35:03-C*04:01-DRB1*04:07-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 548  A*03:01-B*35:03-C*05:01-DRB1*07:01-DQA1*02:01-DQB1*06:05-DPB1*02:01  USA San Diego 0.2600496
 549  A*03:01-B*47:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 550  A*03:01-B*51:01-C*14:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 551  A*11:01-B*14:01-C*08:02-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 552  A*11:01-B*35:01-C*04:01-DRB1*15:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 553  A*11:01-B*35:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 554  A*23:01-B*27:07-C*15:02-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 555  A*23:01-B*44:03-C*04:01-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.2600496
 556  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 557  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 558  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 559  A*24:02-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.26003,078
 560  A*24:02-B*15:01-C*07:01-DRB1*07:01-DQA1*04:01-DQB1*03:03-DPB1*02:01  USA San Diego 0.2600496
 561  A*26:01-B*13:01-C*03:04-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 562  A*26:01-B*40:06-C*08:01-DRB1*14:02-DQA1*03:01-DQB1*03:03-DPB1*02:01  USA San Diego 0.2600496
 563  A*26:01-B*51:01-C*04:01-DRB1*14:03-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 564  A*29:02-B*35:08-C*06:02-DRB1*07:01-DQA1*01:02-DQB1*06:04-DPB1*02:01  USA San Diego 0.2600496
 565  A*29:02-B*45:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 566  A*29:02-B*55:01-C*07:01-DRB1*04:07-DQA1*03:01-DQB1*06:02-DPB1*02:01  USA San Diego 0.2600496
 567  A*30:01-B*58:01-C*15:05-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  USA San Diego 0.2600496
 568  A*31:01-B*15:10-C*03:04-DRB1*13:03-DQA1*01:02-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 569  A*31:01-B*39:02-C*03:04-DRB1*14:01-DQA1*01:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.2600496
 570  A*31:01-B*48:13-C*03:04-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 571  A*31:01-B*54:01-C*14:02-DRB1*04:05-DQA1*03:01-DQB1*04:01-DPB1*02:01  USA San Diego 0.2600496
 572  A*32:01-B*44:03-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  USA San Diego 0.2600496
 573  A*33:01-B*14:02-C*12:03-DRB1*11:04-DQA1*05:01-DQB1*02:01-DPB1*02:01  USA San Diego 0.2600496
 574  A*33:03-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  USA San Diego 0.2600496
 575  A*68:01-B*15:18-C*03:04-DRB1*13:01-DQA1*05:01-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 576  A*68:01-B*40:01-C*03:04-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*02:01  USA San Diego 0.2600496
 577  A*68:01-B*49:01-C*05:01-DRB1*04:01-DQA1*03:01-DQB1*06:01-DPB1*02:01  USA San Diego 0.2600496
 578  A*68:01-B*49:01-C*07:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 579  A*74:03-B*44:03-C*04:01-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 580  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.255128,927
 581  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*02:01  Russia Karelia 0.25251,075
 582  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.25115,266
 583  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.24871,075
 584  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*02:01  Russia Karelia 0.24151,075
 585  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.2414521
 586  DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.23891,064
 587  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.2336570
 588  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.2336570
 589  A*24:02-B*35:08-C*04:01-DRB1*16:01-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.2336570
 590  A*74:03-B*51:01:01-C*15:02:01-DRB1*16:01-DQB1*05:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.231228,927
 591  A*02:10-B*40:06-C*08:01-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 592  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 593  A*24:02-B*15:07-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 594  A*24:02-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 595  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 596  A*02:01-B*35:12-C*04:01-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 597  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:01-DQB1*06:03-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 598  A*24:02-B*35:12-C*04:01-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 599  A*24:02-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 600  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218

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 501 to 600 (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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