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 901 to 1,000 (from 6,872) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 69  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*02:01-B*35:08-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*05:01  Kosovo 0.4030124
 902  A*02:01-B*47:01-C*08:02-DRB1*01:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 903  A*02:01-B*51:01-C*15:02-DRB1*11:04-DQA1*05:05-DQB1*05:01  Kosovo 0.4030124
 904  A*03:01-B*35:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*05:01  Kosovo 0.4030124
 905  A*03:01-B*51:01-C*15:06-DRB1*14:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 906  A*24:02-B*44:02-C*16:04-DRB1*01:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 907  A*24:02-B*55:01-C*03:03-DRB1*10:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 908  A*25:01-B*40:02-C*12:03-DRB1*11:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 909  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 910  A*29:02-B*07:02-C*02:02-DRB1*01:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 911  A*32:01-B*51:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 912  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.402799,672
 913  DRB1*15:01-DQB1*05:01  Italy pop 5 0.4000975
 914  A*11:01-B*18:01-C*07:04-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.3994951
 915  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.3993221
 916  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.39425,849
 917  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.39421,075
 918  DRB1*14:01-DQB1*05:01  USA African American pop 4 0.39202,411
 919  A*26-B*15-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.3900641
 920  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 921  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 922  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 923  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 924  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 925  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.38852,492
 926  A*68:01-B*35:03-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Caribean Indian 0.388214,339
 927  A*02:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Italy minority 0.38801,159
 928  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India East UCBB 0.38772,403
 929  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.3817185,391
 930  A*33:03:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.3814192
 931  A*11:01-B*35:01-C*16:01-DRB1*13:01-DQB1*05:01-DPB1*04:01  Panama 0.3800462
 932  A*24:02-B*35:43-C*01:02-DRB1*04:03-DQB1*05:01-DPB1*14:01  Panama 0.3800462
 933  DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.37911,064
 934  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.37902,492
 935  DRB1*11:01-DQB1*05:01  USA African American pop 4 0.37802,411
 936  A*02:01-B*07:02-C*07:02-DRB1*01:03-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.37604,335
 937  A*33:03:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.3740174
 938  DRB1*13:02-DQB1*05:01  USA Hispanic pop 2 0.37101,999
 939  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.37051,510
 940  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 941  A*02:16-B*07:05-C*07:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 942  A*03:01-B*37:01-C*01:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 943  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 944  A*33:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 945  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 0.366843,540
 946  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 0.364370,890
 947  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.3639833
 948  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Hispanic 0.3627115,374
 949  DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 0.36161,064
 950  DRB1*10:01-DQB1*05:01-DPB1*131:01  Gambia pop 3 0.3555939
 951  A*02:01:01-B*08:01:01-C*07:18-DRB1*10:01:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 952  A*02:02:01-B*15:10:01-C*03:04:02-DRB1*01:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.3520142
 953  A*02:05:01-B*58:01:01-C*03:02:01-DRB1*13:01:01-DQB1*05:01:01-DPB1*03:01:01  South African Black 0.3520142
 954  A*02:14-B*49:01:01-C*02:02:02-DRB1*03:02:01-DQB1*05:01:01-DPB1*03:01:01  South African Black 0.3520142
 955  A*03:01:01-B*49:01:01-C*07:01:02-DRB1*01:02:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 956  A*23:01:01-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*05:01:01-DPB1*104:01:01  South African Black 0.3520142
 957  A*29:02:01-B*15:03:01-C*04:01:01-DRB1*11:01:02-DQB1*05:01:01-DPB1*03:01:01  South African Black 0.3520142
 958  A*29:02:01-B*57:03:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*104:01:01  South African Black 0.3520142
 959  A*29:02:01-B*57:03:01-C*18:02-DRB1*01:01:01-DQB1*05:01:01-DPB1*18:01  South African Black 0.3520142
 960  A*29:02:01-B*58:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPB1*18:01  South African Black 0.3520142
 961  A*29:11-B*13:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 962  A*30:01:01-B*45:01:01-C*16:01:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 963  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*14:01:01  South African Black 0.3520142
 964  A*30:01:01-B*53:01:01-C*12:03:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*13:01:01  South African Black 0.3520142
 965  A*30:02:01-B*57:03:01-C*18:02-DRB1*13:01:01-DQB1*05:01:01-DPB1*03:01:01  South African Black 0.3520142
 966  A*32:106-B*14:01:01-C*08:04:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*02:01:02  South African Black 0.3520142
 967  A*33:01:01-B*14:01:01-C*08:04:01-DRB1*08:04:01-DQB1*05:01:01-DPB1*18:01  South African Black 0.3520142
 968  A*33:03:01-B*15:16:01-C*14:02:01-DRB1*03:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.3520142
 969  A*34:02:01-B*07:02:01-C*18:02-DRB1*01:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.3520142
 970  A*66:01:01-B*15:03:01-C*02:10:01-DRB1*08:04:01-DQB1*05:01:01-DPB1*665:01  South African Black 0.3520142
 971  A*68:02:01-B*15:03:01-C*03:04:02-DRB1*03:01:01-DQB1*05:01:01-DPB1*104:01:01  South African Black 0.3520142
 972  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*13:01:01-DQB1*05:01:01-DPB1*106:01  South African Black 0.3520142
 973  A*74:01:01-B*15:03:01-C*02:10:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*02:01:19  South African Black 0.3520142
 974  A*74:01:01-B*15:03:01-C*02:10:01-DRB1*11:01:02-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.3520142
 975  A*74:01:01-B*53:01:01-C*17:01:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 976  DRB1*14:01-DQB1*05:01  Italy pop 5 0.3500975
 977  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Hispanic South or Central American 0.3500146,714
 978  A*01:01-B*37:01-C*06:02-DRB1*13:02-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 979  A*02:01-B*15:37-C*16:01-DRB1*12:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 980  A*02:01-B*35:17-C*04:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 981  A*03:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 982  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 983  A*11:01-B*42:01-C*17:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 984  A*11:01-B*48:01-C*08:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 985  A*24:02-B*07:02-C*04:01-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 986  A*24:02-B*08:01-C*03:04-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 987  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 988  A*29:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 989  A*30:01-B*57:01-C*06:02-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 990  A*30:02-B*15:03-C*02:10-DRB1*13:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 991  A*34:02-B*49:01-C*07:01-DRB1*13:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 992  A*68:01-B*35:01-C*03:03-DRB1*13:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 993  A*68:01-B*37:01-C*06:02-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 994  B*07:02-C*04:01-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 995  B*08:01-C*03:04-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 996  B*15:03-C*02:10-DRB1*13:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 997  B*15:37-C*16:01-DRB1*12:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 998  B*35:01-C*03:03-DRB1*13:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 999  B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 1,000  B*35:17-C*04:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143

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 901 to 1,000 (from 6,872) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 69  


   

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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