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 5,048) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  B*13:01-C*03:04:01  China Jingpo Minority 0.4900105
 602  B*13:01-C*04:06  China Jingpo Minority 0.4900105
 603  B*13:01-C*12:02:01  China Jingpo Minority 0.4900105
 604  A*02-B*13-DRB1*07-DQB1*02  Mexico Sinaloa, Culiacán 0.4854103
 605  A*30-B*13-DRB1*07-DQB1*02  Mexico Sinaloa, Culiacán 0.4854103
 606  A*02:01:01-B*13:02:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.4837519
 607  A*30:01-B*13:02-C*06:02-DRB1*03:01  Russia Bering Island Aleuts 0.4808104
 608  A*32:01-B*13:02-C*06:02-DRB1*07:01  Russia Bering Island Aleuts 0.4808104
 609  A*24:02-B*13:04-DRB1*14:02-DQB1*03:01  Peru Titikaka Lake Uros 0.4800105
 610  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.47901,043
 611  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.47851,463
 612  A*02:06-B*13:01-DRB1*04:05  New Zealand Maori with Admixed History 0.4762105
 613  A*30-B*13-DRB1*07-DQB1*02  Mexico Zacatecas, Fresnillo 0.4762103
 614  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 615  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.46801,999
 616  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.46493,456,066
 617  A*30-B*13-DRB1*07-DQB1*02  Mexico Mexico City North 0.4648751
 618  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.46141,510
 619  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.4600975
 620  A*24:02-B*13:02-DRB1*07:01  Croatia pop 4 0.46004,000
 621  A*29-B*13-DRB1*01-DQB1*05  Mexico Coahuila Rural 0.4587216
 622  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.45831,075
 623  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 624  A*23:01:01-B*13:02:01-C*03:04:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 625  A*02:01-B*13:01-C*03:04-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Japanese 0.454024,582
 626  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 0.4457146,714
 627  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 0.4443261,235
 628  A*24:02-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.44401,028
 629  A*29-B*13-DRB1*03:01-DQB1*02  Mexico Nuevo Leon, Monterrey city 0.4425226
 630  A*02-B*13-DRB1*07-DQA1*02-DQB1*02:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 631  A*02-B*13-DRB1*10-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 632  A*11-B*13-DRB1*07-DQA1*02-DQB1*02:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 633  A*11-B*13-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 634  A*24:02-B*13:02-C*06:02  Italy pop 5 0.4400975
 635  A*24-B*13-C*04-DRB1*03  Myanmar Kayin 0.440044
 636  A*30-B*13-DRB1*15  India sub-Himalayan West Bengal Kami 0.4400158
 637  A*01:01-B*13:02-C*04:01-E*01:01:01-F*01:01:01-G*01:06-DRB1*13:02:01-DQA1*01:02-DQB1*06:04:01  Portugal Azores Terceira Island 0.4386130
 638  A*02:01-B*13:02-C*12:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 639  A*01:01-B*13:02-DRB1*07:01  Israel Tunisia Jews 0.43809,070
 640  A*11:01-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.43532,492
 641  A*02:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Spain minority 0.43401,107
 642  A*30-B*13-DRB1*07  Brazil South East Cord Blood 0.433011,409
 643  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Nicaragua Managua 0.4329339
 644  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Nicaragua Managua 0.4329339
 645  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.43065,926
 646  A*30-B*13-C*06-DRB1*07  Macedonia MBMDR - Macedonian 0.42741,283
 647  A*30-B*13-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.4266585
 648  A*30-B*13-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.42631,173
 649  A*24:02-B*13:01-C*03:04-DRB1*15:01  Hong Kong Chinese BMDR 0.42587,595
 650  A*11:01-B*13:01-C*03:04-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.42501,772
 651  A*30-B*13-DRB1*07-DQB1*02  Ecuador Andes Mixed Ancestry 0.4248824
 652  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.4210356
 653  A*02:01:01-B*13:02:01-C*02:02:02-DRB1*07:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 654  A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 655  A*23:01:01-B*13:02:01-C*12:03:01-DRB1*13:01:01-DQA1*01:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 656  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Russian Federation Vologda Region 0.4202119
 657  A*26:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 658  A*30:01:01-B*13:02:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 659  A*30:01:01-B*13:02:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 660  A*30:01:01-B*13:02:01-C*04:01:01-DRB1*08:01:01-DQA1*04:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 661  A*30:01:01-B*13:02:01-C*04:01:01-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 662  A*30-B*13-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.4202238
 663  A*30-B*13-DRB1*07-DQB1*02  Ecuador Coast Mixed Ancestry 0.4202238
 664  A*30-B*13-DRB1*11  Iran pop 4 0.4202855
 665  A*29-B*13-DRB1*07-DQB1*02  Mexico Puebla Rural 0.4197833
 666  A*02-B*13-DRB1*07-DQB1*02  Mexico Chihuahua Rural 0.4184236
 667  A*01:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 668  A*02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 669  A*02:01:01-B*13:02:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.4167120
 670  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 671  A*24:02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 672  A*24:02:01-B*13:02:01-C*12:03:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 673  A*24:02:13-B*13:02:01-C*06:02:01:02-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 674  A*25:01:01-B*13:02:01-C*15:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 675  A*26:01:01-B*13:02:01-C*12:03:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 676  A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 677  A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 678  A*30:04:01-B*13:02:01-C*16:02:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 679  A*31:01:02:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 680  A*68:24-B*13:02:01-C*08:02:01:01-DRB1*01:02:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 681  A*02:01-B*13:01-C*03:04-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Chinese 0.413299,672
 682  A*02-B*13-DRB1*01-DQB1*05  Mexico Chiapas Rural 0.4132121
 683  A*30-B*13-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.4132121
 684  A*68-B*13-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.4132121
 685  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP North American Amerindian 0.411435,791
 686  A*03:02-B*13:02-DRB1*07:01  Israel Tunisia Jews 0.41109,070
 687  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.41011,075
 688  A*30:02-B*13:02-DRB1*04:03  Israel Iran Jews 0.40808,153
 689  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 0.403543,540
 690  A*11:01-B*13:02-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:02  Kosovo 0.4030124
 691  A*24:02-B*13:02-C*04:01-DRB1*07:01-DQA1*01:02-DQB1*02:02  Kosovo 0.4030124
 692  A*02:01-B*13:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.40153,892
 693  A*02:01-B*13:01-C*03:04-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.40001,772
 694  A*02:01-B*13:02-C*06:02-DRB1*07:01  Italy pop 5 0.4000975
 695  A*02-B*13-DRB1*07  China Shaanxi Province Han 0.400010,000
 696  A*02-B*13-DRB1*12:02  USA NMDP Asian and Pacific Islander 0.4000359,423
 697  A*11-B*13-DRB1*15:01  USA NMDP Asian and Pacific Islander 0.4000359,423
 698  A*24-B*13-DRB1*12  China Shaanxi Province Han 0.400010,000
 699  A*30-B*13-DRB1*07:01  USA NMDP Hispanic 0.4000449,844
 700  A*32-B*13-C*06-DRB1*07  Iran pop 4 0.4000855

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 5,048) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  


   

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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