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 701 to 800 (from 15,210) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 153  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*24:02-B*15:30-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 702  A*24:02-B*35:17-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 703  A*24:02:01-B*15:32:01-C*12:03:01  China Jingpo Minority 1.0350105
 704  A*24:02-B*40:01-C*04:01-DRB1*04:03-DRB4*01:01-DQB1*03:02  USA NMDP Filipino 1.031050,614
 705  A*24:02:01-C*07:02:01-DRB1*14:04  China Jingpo Minority 1.0310105
 706  A*24:02:01-C*14:02:01-DRB1*12:02:01  China Jingpo Minority 1.0310105
 707  A*24:02-B*35:01-DRB1*14:01-DQB1*05:01  Iran Tabriz Azeris 1.030997
 708  A*24:02-B*35:01-DRB1*16:01-DQB1*05:01  Iran Tabriz Azeris 1.030997
 709  A*24:02-B*41:01-DRB1*04:01-DQB1*03:01  Iran Tabriz Azeris 1.030997
 710  A*24:02-B*51:01-DRB1*11:01-DQB1*05:01  Iran Tabriz Azeris 1.030997
 711  A*24:02-B*39:06-C*07:02-DRB1*14:06-DRB3*01:01-DQB1*03:01  USA NMDP Mexican or Chicano 1.0097261,235
 712  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Middle Eastern or North Coast of Africa 1.003270,890
 713  A*24:02:01-B*07:02:01-C*02:10  South African Mixed ancestry 1.000050
 714  A*24:02:01-B*07:05:01-C*03:04:01  South African Indian population 1.000050
 715  A*24:02:01-B*13:01:01-C*04:03:01  South African Indian population 1.000050
 716  A*24:02:01-B*14:01-DRB1*10:01  Portugal South 1.000049
 717  A*24:02:01-B*14:02  Mexico Guadalajara Mestizo pop 2 1.0000103
 718  A*24:02:01-B*15:01:01-C*08:01:01  South African Mixed ancestry 1.000050
 719  A*24:02:01-B*18:01:01-C*07:01:01  South African Mixed ancestry 1.000050
 720  A*24:02:01-B*18:01:01-DRB1*08:01:01  Portugal Center 1.000050
 721  A*24:02:01-B*27:07-DRB1*04:02  Bulgaria 1.000055
 722  A*24:02:01-B*27:07-DRB1*11:01:01  Bulgaria 1.000055
 723  A*24:02:01-B*35:01:01-DRB1*04:01:01  Portugal Center 1.000050
 724  A*24:02:01-B*35:02-DRB1*11:04:01  Portugal Center 1.000050
 725  A*24:02:01-B*35:02-DRB1*13:03:02  Portugal South 1.000049
 726  A*24:02:01-B*35:03:01-C*04:01:01  South African Mixed ancestry 1.000050
 727  A*24:02:01-B*35:03:01-C*04:01:01  South African Indian population 1.000050
 728  A*24:02:01-B*35:03:01-C*12:03:01  South African Indian population 1.000050
 729  A*24:02:01-B*35:03-DRB1*16:01:01  Portugal Center 1.000050
 730  A*24:02:01-B*39:06:02-C*07:02:01  South African Mixed ancestry 1.000050
 731  A*24:02:01-B*40:01:01-DRB1*13:01:01  Portugal South 1.000049
 732  A*24:02:01-B*40:01:02-C*03:04:01  South African Mixed ancestry 1.000050
 733  A*24:02:01-B*40:06:01-C*01:02:01  South African Indian population 1.000050
 734  A*24:02:01-B*41:01:01-C*12:03:01  South African Indian population 1.000050
 735  A*24:02:01-B*44:02:01-DRB1*13:02:01  Portugal South 1.000049
 736  A*24:02:01-B*44:03:01-DRB1*13:02:01  Portugal South 1.000049
 737  A*24:02:01-B*48:01:01-C*08:01:01  South African Indian population 1.000050
 738  A*24:02:01-B*48:01:01-C*08:03:01  South African Indian population 1.000050
 739  A*24:02:01-B*51:01:01-DRB1*11:01:01  Portugal Center 1.000050
 740  A*24:02:01-B*51:01:02-C*03:04:01  South African Mixed ancestry 1.000050
 741  A*24:02:01-B*51:19-C*14:02:01  South African Indian population 1.000050
 742  A*24:02:01-B*57:03:01-DRB1*07:01:01  Portugal South 1.000049
 743  A*24:02:01-B*58:01:01-C*12:03:01  South African Mixed ancestry 1.000050
 744  A*24:02:01-B*58:01-DRB1*11:02  Portugal Center 1.000050
 745  A*24:02:01-B*58:02-C*06:02:01  South African Mixed ancestry 1.000050
 746  A*24:02:01-B*81:01-DRB1*12:01:01/12:06  Portugal South 1.000049
 747  A*24:02-B*15:21  Philippines Ivatan 1.000050
 748  A*24:02-B*15:25  Taiwan Pazeh 1.000055
 749  A*24:02-B*15:25  Taiwan Ami 1.000098
 750  A*24:02-B*35:01-C*04:01-DRB1*01:03-DQB1*05:01  Ireland South 1.0000250
 751  A*24:02-B*35:05-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 1.0000105
 752  A*24:02-B*40:01  USA Alaska Yupik 1.0000252
 753  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Poland 1.0000200
 754  A*24:02-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 1.0000150
 755  A*24:02-B*40:02-DRB1*04:01  Sweden Northern Sami 1.0000154
 756  A*24:02-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03  South Korea pop 3 1.0000485
 757  A*24:02-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03-DPB1*05:01  Japan Central 1.0000371
 758  A*24:02-B*40:06-DRB1*09:01  South Korea pop 3 1.0000485
 759  A*24:02-B*44:02-DRB1*11:04  Armenia combined Regions 1.0000100
 760  A*24:02-B*51:01  USA North American Native 1.0000187
 761  A*24:02-B*51:01-DRB1*11:04  Armenia combined Regions 1.0000100
 762  A*24:02-B*54:01  Singapore Chinese 1.0000149
 763  A*24:02-B*54:01  Taiwan Siraya 1.000051
 764  A*24:02-B*55:02  Singapore Chinese 1.0000149
 765  A*24:02-C*01:02  Philippines Ivatan 1.000050
 766  A*24:02-C*04:01  Taiwan Tao 1.000050
 767  A*24:02-B*35:08-DRB1*11:04  Israel Iraq Jews 0.994013,270
 768  A*24:02:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  Vietnam Kinh 0.9900101
 769  A*24:02:01-B*15:02:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.9900101
 770  A*24:02:01-B*15:02-C*07:02:01  China Jingpo Minority 0.9900105
 771  A*24:02:01-B*27:06-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.9900101
 772  A*24:02:01-B*35:05:01-C*04:01:01-DRB1*08:03:02-DQB1*06:01:01  Vietnam Kinh 0.9900101
 773  A*24:02:01-B*48:01:01  China Jingpo Minority 0.9900105
 774  A*24:02:01-B*48:01:01-C*08:03  China Jingpo Minority 0.9900105
 775  A*24:02:01-B*56:01  China Jingpo Minority 0.9900105
 776  A*24:02-B*35:02-DRB1*11:04  Israel Arab pop 2 0.983012,301
 777  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.97701,772
 778  A*24:02-B*46:01  USA Asian pop 2 0.97601,772
 779  A*24:02:01-C*03:03:01  China Jingpo Minority 0.9710105
 780  A*24:02:01-C*08:03  China Jingpo Minority 0.9710105
 781  A*24:02:01-C*08:04  China Jingpo Minority 0.9710105
 782  A*24:02:01-C*15:02:01  China Jingpo Minority 0.9710105
 783  A*24:02-B*35:05-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 0.9700105
 784  A*24:02-B*07:02-C*07:02-DRB1*15:01  Russia Bering Island Aleuts 0.9615104
 785  A*24:02-B*07:14-C*07:05-DRB1*15:33-DQB1*02:01  Colombia North Wiwa El Encanto 0.961552
 786  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 787  A*24:02-B*15:01-C*03:03-DRB1*14:01  Russia Bering Island Aleuts 0.9615104
 788  A*24:02-B*35:01-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 789  A*24:02-B*35:04-C*04:01-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 790  A*24:02-B*35:05-C*01:02-DRB1*08:02-DQB1*03:09  Colombia North Wiwa El Encanto 0.961552
 791  A*24:02-B*35:14-C*04:01-DRB1*04:07-DQB1*03:18  Colombia North Wiwa El Encanto 0.961552
 792  A*24:02-B*35:43-C*01:02-DRB1*04:03-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 793  A*24:02-B*35:43-C*01:02-DRB1*14:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 794  A*24:02-B*35:68-C*03:04-DRB1*04:07-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 795  A*24:02-B*39:01-C*07:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 796  A*24:02-B*40:01-C*03:04-DRB1*14:02  Russia Bering Island Aleuts 0.9615104
 797  A*24:02-B*40:02-C*01:06-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 798  A*24:02-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 799  A*24:02-B*44:11-C*03:04-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 800  A*24:02-B*48:01-C*08:03-DRB1*04:03  Russia Bering Island Aleuts 0.9615104

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 701 to 800 (from 15,210) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 153  


   

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