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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 601 to 700 (from 19,422) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 195  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 1.9747833
 602  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP European Caucasian 1.97391,242,890
 603  A*03-B*07-DRB1*15-DQB1*06  Mexico Sinaloa, Culiacán 1.9417103
 604  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Sinaloa, Culiacán 1.9417103
 605  DRB1*15:01:01-DQB1*06:01:02  India Mumbai Maratha 1.930091
 606  DQB1*06:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.9260496
 607  A*11:01-B*07:02-C*07:02-DRB1*15:03-DQB1*06:02  Colombia North Wiwa El Encanto 1.923152
 608  A*11-B*53-DRB1*13-DQB1*06  Mexico Guanajuato, Leon 1.923178
 609  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia North Wiwa El Encanto 1.923152
 610  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia North Wiwa El Encanto 1.923152
 611  A*26-B*38-DRB1*13-DQB1*06  Mexico Mexico City South 1.923152
 612  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  United Arab Emirates Abu Dhabi 1.920052
 613  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:02  United Arab Emirates Abu Dhabi 1.920052
 614  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 1.920052
 615  DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo pop 2 1.9200234
 616  A*02-B*07-DRB1*15:01-DQB1*06:02  Cuba Mixed 1.900078
 617  A*02-B*07-DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02  Spain Murcia 1.9000173
 618  A*02-B*44-DRB1*13-DQA1*01:03-DQB1*06:03  Georgia Svaneti Region Svan 1.900080
 619  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  South Korea pop 3 1.9000485
 620  A*26-B*38-DRB1*13:01-DRB3*02:02-DQA1*01:03-DQB1*06:03  Spain Murcia 1.9000173
 621  A*26-B*38-DRB1*13-DQA1*01:03-DQB1*06:03  Georgia Svaneti Region Svan 1.900080
 622  A*29-B*07-DRB1*15:01-DQB1*06:02  Cuba Mixed 1.900078
 623  DRB1*01-DQA1*01:01-DQB1*06:02  Russia Arkhangelsk 1.900081
 624  DRB1*13:02-DQA1*01:02-DQB1*06:04  Italy pop 2 1.900053
 625  DRB1*13:02-DQB1*06:04  Tunisia Matmata Berber 1.900081
 626  DRB1*13-DRB3*03-DQA1*01-DQB1*06-DPB1*04  USA San Francisco Caucasian 1.9000220
 627  DRB1*15:01-DQB1*06:02  Indonesia Nusa Tenggara Islands 1.900049
 628  DRB1*15:02:01-DQB1*06  China Inner Mongolia Region Ewenki 1.900094
 629  DRB1*15:02-DQB1*06:01  Philippines 1.900034
 630  DRB1*15-DQA1*01:03-DQB1*06:01  Belarus Brest Region 1.9000105
 631  DRB1*15-DQA1*01:03-DQB1*06:01  Russia Smolensk 1.9000156
 632  DRB1*15-DQA1*01:03-DQB1*06:02  Russia Arkhangelsk 1.900081
 633  A*03-B*07-DRB1*15-DQB1*06  Mexico Chiapas, Tuxtla Gutierrez 1.886852
 634  A*03-B*57-DRB1*13-DQB1*06  Mexico Chiapas, Tuxtla Gutierrez 1.886852
 635  A*29-B*07-DRB1*13-DQB1*06  Mexico Chiapas, Tuxtla Gutierrez 1.886852
 636  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Korean 1.869677,584
 637  A*03-B*07-DRB1*15-DQB1*06  Mexico Yucatan Rural 1.8657132
 638  DRB1*13:02-DQB1*06:09  USA Asian pop 2 1.85301,772
 639  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Alaska Native or Aleut 1.81281,376
 640  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 1.8100221
 641  A*03-B*07-DRB1*15:03-DQB1*06:02  Tunisia pop 3 1.8000104
 642  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Poland 1.8000200
 643  A*25-B*18-DRB1*15:01-DQB1*06:02  Russia Chuvash 1.800082
 644  A*26-B*27-DRB1*15-DQB1*06  Mexico Sinaloa Mestizo 1.800056
 645  DQA1*01:02-DQB1*06:04  Russia Tuva pop 2 1.8000169
 646  DRB1*08:01-DQB1*06:02  Tunisia Jerba Berber 1.800055
 647  DRB1*08:03:02-DQB1*06:01:01  China Yunnan Province Lahu 1.800070
 648  DRB1*13:01-DQA1*01:03-DQB1*06:03  India Northeast Shia 1.8000190
 649  DRB1*13:01-DQB1*06:03  Tunisia Jerba Berber 1.800055
 650  DRB1*15:01-DQA1*01:03-DQB1*06:01  India Uttar Pradesh 1.8000202
 651  DRB1*15:01-DQB1*06:02  Italy pop 5 1.8000975
 652  DRB1*15:01-DQB1*06:03  Tunisia Jerba Berber 1.800055
 653  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Francisco Caucasian 1.8000220
 654  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Francisco Caucasian 1.8000220
 655  DRB1*15:02-DQA1*01:03-DQB1*06:01  USA San Francisco Caucasian 1.8000220
 656  DQB1*06:01-DPB1*05:01:01  China Inner Mongolia Autonomous Region Northeast 1.7910496
 657  A*02-B*51-DRB1*13-DQB1*06  Mexico Veracruz, Cordoba 1.785756
 658  A*03-B*07-DRB1*15-DQB1*06  Mexico Zacatecas, Zacatecas city 1.785784
 659  A*26:01-B*38:01-DRB1*13:01-DQB1*06:02  Iran Yazd 1.785756
 660  A*30-B*42-DRB1*13-DQB1*06  Mexico Veracruz, Coatzacoalcos 1.785755
 661  A*03-B*07-DRB1*15-DQB1*06  Mexico Nuevo Leon, Monterrey city 1.7699226
 662  A*03-B*07-DRB1*15-DQB1*06  Mexico Tabasco Rural 1.7606142
 663  A*26:01-B*38:01-C*12:03-E*01:03:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 1.7544130
 664  A*23-B*45-DRB1*15-DQB1*06  Mexico San Luis Potosi Rural 1.724187
 665  A*26-B*14:01-DRB1*13-DQB1*06  Mexico San Luis Potosi Rural 1.724187
 666  A*02:11:01-B*35:03:01-C*04:01:01-DRB1*15:02:02-DQB1*06:01:01  India Karnataka Kannada Speaking 1.7240174
 667  A*01-B*52-DRB1*15:02-DQB1*06:01  Macedonia pop 3 1.7000172
 668  A*02:07-B*46:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01-DPB1*04:02  China Yunnan Province Nu 1.7000107
 669  A*11:01:01-B*38:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01-DPB1*05:01  China Yunnan Province Lisu 1.7000111
 670  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01-DPB1*13:01  China Yunnan Province Lisu 1.7000111
 671  A*26-B*38-C*12-DRB1*13-DQB1*06  Spain Majorcans Jews 1.7000103
 672  DQA1*01:03-DQB1*06:01  Israel Libyan Jews 1.7000119
 673  DQA1*01:03-DQB1*06:09  Ecuador African 1.700058
 674  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPB1*02:01  South Korea pop 2 1.7000207
 675  DRB1*11:04-DQB1*06:03  Israel Moroccan Jews 1.7000113
 676  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  South Korea pop 11 1.7000149
 677  DRB1*15:01-DQA1*01:03-DQB1*06:01  India Northeast Lachung 1.700058
 678  DRB1*15:01-DQB1*06:02  Iran pop 2 1.7000120
 679  DRB1*15:02-DQA1*01:02-DQB1*06:01  India Northeast Lachung 1.700058
 680  DRB1*15:02-DQA1*01:02-DQB1*06:01  India Uttar Pradesh 1.7000202
 681  DRB1*15:02-DQA1*01:03-DQB1*06:01  Italy Sardinia Lanusei 1.700087
 682  DRB1*15:02-DQB1*06:01  Israel Libyan Jews 1.7000119
 683  DRB1*15:01:01:01-DQB1*06:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.6880496
 684  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 1.6807119
 685  A*03-B*07-DRB1*15-DQB1*06  Mexico Chihuahua Chihuahua City 1.6807119
 686  DRB1*13:02-DQB1*06:04  Italy pop 5 1.6800975
 687  A*24-B*07-C*07:02-DRB1*15:01-DQB1*06  Russia Transbaikal Territory Buryats 1.6670150
 688  A*01-B*35-DRB1*11-DQB1*06  Mexico Jalisco, Tlajomulco 1.666730
 689  A*01-B*37-DRB1*15-DQB1*06  Mexico Jalisco, Tlajomulco 1.666730
 690  A*02-B*45-DRB1*11-DQB1*06  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 691  A*02-B*51-DRB1*13:01-DQB1*06:03  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 692  A*11-B*44-DRB1*13-DQB1*06  Mexico Jalisco, Tlajomulco 1.666730
 693  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 1.6667120
 694  A*24-B*35-DRB1*13-DQB1*06  Mexico Jalisco, Tlajomulco 1.666730
 695  A*25-B*44-DRB1*15-DQB1*06  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 696  A*30-B*52-DRB1*15-DQB1*06  Mexico Veracruz, Orizaba 1.666760
 697  A*68-B*53-DRB1*13-DQB1*06  Mexico Jalisco, Tlajomulco 1.666730
 698  A*74-B*57-DRB1*15-DQB1*06  Mexico Veracruz, Orizaba 1.666760
 699  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Central UCBB 1.65354,204
 700  DRB1*15:02:01-DQB1*06:01-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 1.6530496

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 19,422) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 195  


   

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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