Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 601 to 700 (from 2,447) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 25  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*02:02-B*53:01-C*04:01-DRB1*15:03-DQB1*06:02  USA NMDP Black South or Central American 0.18494,889
 602  A*01-B*53-DRB1*13-DQB1*06  Mexico Veracruz Rural 0.1848539
 603  A*68-B*53-DRB1*13  Brazil Para State 0.18225,000
 604  A*02:02-B*53:01-DRB1*01:02  Israel Ethiopia Jews 0.18205,928
 605  A*32-B*53-DRB1*11-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.1820824
 606  A*68:02-B*53:01-C*04:01-DRB1*13:02  Germany DKMS - Netherlands minority 0.18201,374
 607  A*34-B*53-DRB1*09-DQB1*02  Mexico Tlaxcala Rural 0.1807830
 608  A*24:03-B*53:01-DRB1*04:03  Israel YemenJews 0.180015,542
 609  A*68:01-B*53:01-C*04:01  Italy pop 5 0.1800975
 610  A*23-B*53-DRB1*09  Brazil Para Cord Blood Unit 0.1784841
 611  A*36-B*53-DRB1*11  Brazil Para Cord Blood Unit 0.1784841
 612  A*23:01-B*53:01-DRB1*08:04  Israel Druze 0.17805,914
 613  A*68:02-B*53:01-DRB1*13:02  Israel Morocco Jews 0.178036,718
 614  A*33:03-B*53:01-C*04:01-DRB1*08:04-DRBX*NNNN-DQB1*03:01  USA NMDP Caribean Hispanic 0.1764115,374
 615  A*11:01:01-B*53:01:01-C*04:01:01-DRB1*08:04:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1760221
 616  B*53:01-C*06:02  USA Hispanic pop 2 0.17501,999
 617  A*01-B*53  Macedonia 0.1748286
 618  A*01-B*53-C*04  Macedonia 0.1748286
 619  A*01-B*53-C*04-DRB1*04  Macedonia 0.1748286
 620  A*01-B*53-DRB1*04  Macedonia 0.1748286
 621  A*30-B*53  Macedonia 0.1748286
 622  A*30-B*53-C*04  Macedonia 0.1748286
 623  A*30-B*53-C*04-DRB1*13  Macedonia 0.1748286
 624  A*30-B*53-DRB1*13  Macedonia 0.1748286
 625  A*68-B*53-C*04-DRB1*01  Macedonia 0.1748286
 626  A*68-B*53-C*04-DRB1*13  Macedonia 0.1748286
 627  A*68-B*53-C*04-DRB1*16  Macedonia 0.1748286
 628  A*68-B*53-DRB1*01  Macedonia 0.1748286
 629  A*68-B*53-DRB1*13  Macedonia 0.1748286
 630  A*68-B*53-DRB1*16  Macedonia 0.1748286
 631  B*53-DRB1*01  Macedonia 0.1748286
 632  B*53-DRB1*04  Macedonia 0.1748286
 633  B*53-DRB1*16  Macedonia 0.1748286
 634  A*02:01-B*53:01-C*04:01-DRB1*08:04-DQB1*03:01  USA African American pop 4 0.17402,411
 635  A*68:02-B*53:01-C*04:01-DRB1*08:04-DQB1*03:01  USA African American pop 4 0.17402,411
 636  A*11-B*53-C*04-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.17221,743
 637  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.17091,463
 638  A*02-B*53-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.1706585
 639  A*11-B*53-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.1706585
 640  A*11-B*53-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.1706585
 641  A*24-B*53-DRB1*09-DQB1*02  Mexico Jalisco Rural 0.1706585
 642  A*68-B*53-DRB1*01-DQB1*05  Mexico Jalisco Rural 0.1706585
 643  A*02-B*53-DRB1*13  Brazil Para State 0.17055,000
 644  A*24:02-B*53:01-C*04:01-DRB1*13:02  Germany DKMS - Portugal minority 0.16901,176
 645  A*68:02-B*53:01-DRB1*04:04  Israel YemenJews 0.169015,542
 646  A*32:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  India Northeast UCBB 0.1689296
 647  A*68-B*53-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.16751,189
 648  A*33:01-B*53:01  USA African American pop 4 0.16702,411
 649  A*32:01:01-B*53:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.166228,927
 650  A*68-B*53-C*04-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.16411,743
 651  B*53:01-C*16:01  USA African American pop 4 0.16302,411
 652  A*23-B*53-DRB1*07  Brazil Para Cord Blood Unit 0.1613841
 653  A*36:03-B*53:01-DRB1*09:01  Israel Morocco Jews 0.161036,718
 654  A*02:01-B*53:01-DRB1*03:01  Israel YemenJews 0.160015,542
 655  A*01:03-B*53:01-C*07:04-DRB1*03:01-DQB1*02:01-DPB1*17:01  Tanzania Maasai 0.1597336
 656  A*01:03-B*53:01-C*07:181-DRB1*11:01-DQB1*02:01-DPB1*17:01  Tanzania Maasai 0.1597336
 657  A*01:03-B*53:01-C*07:328-DRB1*03:01-DQB1*02:01-DPB1*414:01  Tanzania Maasai 0.1597336
 658  A*02:01-B*53:01-C*04:01-DRB1*08:04-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 659  A*02:01-B*53:01-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*01:01  Tanzania Maasai 0.1597336
 660  A*02:01-B*53:01-C*06:02-DRB1*04:05-DQB1*02:02-DPB1*03:01  Tanzania Maasai 0.1597336
 661  A*02:01-B*53:01-C*07:01-DRB1*03:01-DQB1*06:09-DPB1*04:02  Tanzania Maasai 0.1597336
 662  A*03:01-B*53:01-C*04:01-DRB1*08:04-DQB1*03:19-DPB1*105:01  Tanzania Maasai 0.1597336
 663  A*03:01-B*53:01-C*04:39-DRB1*04:05-DQB1*03:02-DPB1*04:02  Tanzania Maasai 0.1597336
 664  A*03:01-B*53:01-C*06:02-DRB1*04:05-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.1597336
 665  A*03:01-B*53:01-C*06:02-DRB1*14:54-DQB1*03:02-DPB1*17:01  Tanzania Maasai 0.1597336
 666  A*03:01-B*53:01-C*07:18-DRB1*13:02-DQB1*06:04-DPB1*04:02  Tanzania Maasai 0.1597336
 667  A*03:01-B*53:01-C*07:65-DRB1*11:01-DQB1*03:02-DPB1*03:01  Tanzania Maasai 0.1597336
 668  A*03:01-B*53:25-C*06:02-DRB1*14:54-DQB1*03:02-DPB1*17:01  Tanzania Maasai 0.1597336
 669  A*23:01-B*53:01-C*06:02-DRB1*14:54-DQB1*05:01-DPB1*17:01  Tanzania Maasai 0.1597336
 670  A*24:02-B*53:01-C*07:328-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.1597336
 671  A*29:01-B*53:01-C*06:02-DRB1*13:02-DQB1*02:02-DPB1*13:01  Tanzania Maasai 0.1597336
 672  A*29:02-B*53:01-C*02:02-DRB1*11:02-DQB1*03:01-DPB1*04:02  Tanzania Maasai 0.1597336
 673  A*29:02-B*53:01-C*02:02-DRB1*11:02-DQB1*03:01-DPB1*105:01  Tanzania Maasai 0.1597336
 674  A*29:02-B*53:01-C*06:76-DRB1*03:01-DQB1*02:01-DPB1*04:01  Tanzania Maasai 0.1597336
 675  A*29:02-B*53:01-C*07:01-DRB1*13:02-DQB1*05:01-DPB1*11:01  Tanzania Maasai 0.1597336
 676  A*30:02-B*53:01-C*04:01-DRB1*01:02-DQB1*05:01-DPB1*105:01  Tanzania Maasai 0.1597336
 677  A*30:02-B*53:01-C*06:02-DRB1*13:02-DQB1*05:01-DPB1*04:01  Tanzania Maasai 0.1597336
 678  A*30:09-B*53:01-C*04:01-DRB1*11:01-DQB1*06:02-DPB1*01:01  Tanzania Maasai 0.1597336
 679  A*33:03-B*53:01-C*08:02-DRB1*13:02-DQB1*06:09-DPB1*55:01  Tanzania Maasai 0.1597336
 680  A*36:01-B*53:01-C*04:01-DRB1*03:02-DQB1*02:02-DPB1*105:01  Tanzania Maasai 0.1597336
 681  A*36:01-B*53:01-C*04:04-DRB1*03:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.1597336
 682  A*36:01-B*53:01-C*04:04-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 683  A*36:01-B*53:01-C*04:177-DRB1*13:03-DQB1*03:01-DPB1*18:01  Tanzania Maasai 0.1597336
 684  A*36:01-B*53:01-C*04:46-DRB1*11:04-DQB1*03:01-DPB1*18:01  Tanzania Maasai 0.1597336
 685  A*36:01-B*53:01-C*06:22-DRB1*13:02-DQB1*05:01-DPB1*11:01  Tanzania Maasai 0.1597336
 686  A*36:01-B*53:01-C*07:02-DRB1*08:04-DQB1*06:02-DPB1*105:01  Tanzania Maasai 0.1597336
 687  A*36:01-B*53:01-C*08:04-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 688  A*68:02-B*53:01-C*04:01-DRB1*03:02-DQB1*06:08-DPB1*03:01  Tanzania Maasai 0.1597336
 689  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.1597336
 690  A*68:02-B*53:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.1597336
 691  A*30:01-B*53:01-DRB1*13:02  Israel Ethiopia Jews 0.15705,928
 692  A*02-B*53-DRB1*11:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.1560641
 693  A*11-B*53-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.1560641
 694  A*26-B*53-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.1560641
 695  A*36-B*53-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.1560641
 696  A*02-B*53-DRB1*03:01-DQB1*02  Mexico Durango Rural 0.1529326
 697  A*02-B*53-DRB1*13-DQB1*06  Mexico Durango Rural 0.1529326
 698  A*11-B*53-DRB1*01-DQB1*05  Mexico Durango Rural 0.1529326
 699  A*32-B*53-DRB1*03:01-DQB1*02  Mexico Durango Rural 0.1529326
 700  A*68-B*53-DRB1*01-DQB1*05  Mexico Durango Rural 0.1529326

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 2,447) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 25  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional