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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Displaying 501 to 600 (from 4,135) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*24-B*48-C*08:03-DRB1*09:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 502  A*24-B*51-C*15:02-DRB1*09:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 503  A*03:01-B*15:10-C*03:04-DRB1*09:01-DQA1*03:01-DQB1*02:02  Brazil Puyanawa 0.3333150
 504  A*31:01-B*48:01-C*08:03-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Puyanawa 0.3333150
 505  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*09:01:02-DQA1*05:05:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*104:01:01  Russia Belgorod region 0.3268153
 506  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*09:01:02-DQA1*05:05:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 507  A*02:01-B*15:08-DRB1*09:01  Israel Bukhara Jews 0.32402,317
 508  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 0.323199,672
 509  A*03:01:01-B*44:10-C*04:01:01-DRB1*09:01:02  Nicaragua Mestizo (G) 0.3226155
 510  A*23:01:01-B*58:01:01-C*03:02:01-DRB1*09:01:02  Nicaragua Mestizo (G) 0.3226155
 511  A*24:02:01-B*08:01:01-C*01:02:01-DRB1*09:01:02  Nicaragua Mestizo (G) 0.3226155
 512  A*68:01:02-B*40:02:01-C*03:05-DRB1*09:01:02  Nicaragua Mestizo (G) 0.3226155
 513  A*68:07-B*39:08-C*07:02:01-DRB1*09:01:02  Nicaragua Mestizo (G) 0.3226155
 514  A*68:02-B*53:01-C*04:01-DRB1*09:01-DQB1*02:02-DPB1*17:01  Tanzania Maasai 0.3195336
 515  DRB1*09:01-DQB1*02:02-DPB1*131:01  Gambia pop 3 0.3159939
 516  A*24:02-B*55:02-C*01:02-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.315111,499
 517  A*26:01:01-B*48:02:01-C*04:01:01-DRB1*09:01:02-DQB1*05:01:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 518  A*02:06-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.31101,772
 519  A*02:07-B*46:01-C*01:02-DRB1*09:01  Japan pop 16 0.308018,604
 520  A*11:01-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.30377,595
 521  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*135:01  China Zhejiang Han pop 2 0.3003833
 522  A*02-B*15-DRB1*09:01  USA NMDP Asian and Pacific Islander 0.3000359,423
 523  A*03:01-B*07:02-C*02:02-DRB1*09:01-DQA1*03:01-DQB1*03:02-DPB1*11:01  South Africa Worcester 0.3000159
 524  A*11-B*40-DRB1*09:01  USA NMDP Asian and Pacific Islander 0.3000359,423
 525  A*24-B*51-DRB1*09:01  USA NMDP Asian and Pacific Islander 0.3000359,423
 526  A*26-B*40-DRB1*09:01  USA NMDP Asian and Pacific Islander 0.3000359,423
 527  A*02:01-B*15:11-C*03:03-DRB1*09:01  Japan pop 16 0.292018,604
 528  A*24:02-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2910194
 529  DRB1*09:01-DQB1*02:02-DPB1*105:01  Gambia pop 3 0.2903939
 530  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.28831,734
 531  A*33:03-B*58:01-C*03:02-DRB1*09:01  Germany DKMS - China minority 0.28801,282
 532  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 533  A*02:09-B*35:03:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 534  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 535  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.2850833
 536  A*02-B*51-DRB1*09:01  Chile Santiago 0.2815920
 537  A*02:01-B*51:01-C*15:02-DRB1*09:01-DQB1*03:03-DPB1*04:02  Russia Karelia 0.27791,075
 538  A*02:01-B*46:01-C*01:03-DRB1*09:01  Hong Kong Chinese BMDR 0.27657,595
 539  A*02:01-B*40:01-C*07:02-DRB1*09:01  Hong Kong Chinese BMDR 0.27597,595
 540  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 0.275299,672
 541  A*02:01-B*40:06-C*08:01-DRB1*09:01  Germany DKMS - China minority 0.27301,282
 542  DRB1*09:01-DQB1*02:02-DPB1*04:01  Gambia pop 3 0.2728939
 543  A*11:01-B*40:01-C*03:04-DRB1*09:01  Germany DKMS - China minority 0.27201,282
 544  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.27101,772
 545  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Southeast Asian 0.270927,978
 546  A*02:01:01-B*15:11:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.27011,734
 547  A*03-B*40-DRB1*09:01  Colombia Barranquilla 0.2700188
 548  A*29-B*42-DRB1*09:01  Colombia Barranquilla 0.2700188
 549  A*29-B*45-DRB1*09:01  Colombia Barranquilla 0.2700188
 550  A*30-B*07-DRB1*09:01  Colombia Barranquilla 0.2700188
 551  A*30-B*45-DRB1*09:01  Colombia Barranquilla 0.2700188
 552  A*31-B*08-DRB1*09:01  Colombia Barranquilla 0.2700188
 553  A*68-B*51-DRB1*09:01  Colombia Barranquilla 0.2700188
 554  A*02:03-B*46:01-C*01:02-DRB1*09:01  Hong Kong Chinese BMDR 0.26867,595
 555  A*02:06:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.26841,734
 556  A*24:02-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.26767,595
 557  A*24:02-B*38:02-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.26501,772
 558  A*02-B*15-DRB1*09:01  Chile Santiago 0.2614920
 559  A*01:01:01:01-B*15:01:01:01-C*07:01:01-DRB1*09:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 560  A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 561  A*02:05:01-B*58:01:01-C*03:02:02-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 562  A*03:01:01:01-B*58:01:01-C*03:02:02-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 563  A*24:02:01:01-B*40:01:02-C*03:04:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 564  A*25:01:01-B*44:03:02-C*07:06-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 565  A*26:01:01-B*48:01:01-C*07:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 566  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 567  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
 568  A*68:01:02:02-B*50:01:01-C*07:02:01:03-DRB1*09:01:02-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 569  A*69:01-B*35:08:01-C*12:03:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 570  A*02:01-B*44:02-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:02  USA San Diego 0.2600496
 571  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
 572  A*02:06-B*40:06-C*03:04-DRB1*09:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 573  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQA1*03:01-DQB1*03:02-DPB1*05:01  USA San Diego 0.2600496
 574  A*24:02-B*40:01-C*04:01-DRB1*09:01-DQA1*05:01-DQB1*03:03-DPB1*05:01  USA San Diego 0.2600496
 575  A*24:02-B*52:01-C*12:02-DRB1*09:01-DQA1*01:03-DQB1*06:01-DPB1*05:01  USA San Diego 0.2600496
 576  A*26:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:01-DQB1*04:02-DPB1*05:01  USA San Diego 0.2600496
 577  A*32:01-B*15:01-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:02  USA San Diego 0.2600496
 578  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
 579  A*33:03-B*56:01-C*04:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*05:01  USA San Diego 0.2600496
 580  A*11:01:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.25951,734
 581  A*11:01-B*40:01-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.25901,772
 582  A*02:01-B*27:06-C*03:04-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 583  A*02:01-B*40:06-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 584  A*02:01-B*46:01-C*03:04-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 585  A*02:01-B*67:01-C*07:05-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 586  A*02:03-B*56:03-C*01:02-DRB1*09:01-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 587  A*02:06-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 588  A*02:07-B*39:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 589  A*02:07-B*46:01-C*01:16-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 590  A*11:01-B*13:01-C*14:02-DRB1*09:01-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 591  A*11:01-B*15:01-C*16:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 592  A*11:01-B*15:27-C*04:01-DRB1*09:01-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 593  A*11:01-B*27:04-C*07:01-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 594  A*11:01-B*35:01-C*03:03-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 595  A*11:01-B*39:05-C*07:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 596  A*11:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 597  A*11:01-B*40:01-C*07:05-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 598  A*11:01-B*46:01-C*01:11-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 599  A*11:01-B*51:02-C*03:02-DRB1*09:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 600  A*11:23-B*27:04-C*12:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194

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 4,135) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  


   

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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