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 3,918) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 40  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*32:01-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India Central UCBB 0.08324,204
 902  A*74:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India East UCBB 0.08322,403
 903  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.082523,595
 904  A*02:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.08204,856
 905  A*02:01-B*44:02-C*16:04-DRB1*15:01-DQB1*05:02  Germany DKMS - Turkey minority 0.08204,856
 906  A*02:07-B*46:01-C*01:02-DRB1*14:01-DRB3*02:02-DQB1*05:02  USA NMDP Filipino 0.081150,614
 907  A*30:01-B*13:02-C*06:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.08104,856
 908  A*32:01-B*51:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.08001,159
 909  DQA1*01:04-DQB1*05:02-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.07971,064
 910  A*01:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02  India Central UCBB 0.07914,204
 911  A*02:01-B*18:01-C*07:01-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.07901,159
 912  A*01-B*18-DRB1*07:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 913  A*01-B*18-DRB1*15:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 914  A*01-B*44-DRB1*04:05-DQA1*05:05-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 915  A*01-B*53-DRB1*11:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 916  A*02-B*07-DRB1*13:02-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 917  A*02-B*15-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 918  A*02-B*18-DRB1*15:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 919  A*02-B*35-DRB1*10:01-DQA1*01:01-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 920  A*02-B*53-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 921  A*03-B*40-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 922  A*03-B*53-DRB1*03:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 923  A*11-B*44-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 924  A*11-B*55-DRB1*15:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 925  A*23-B*35-DRB1*16:02-DQA1*02:01-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 926  A*24-B*44-DRB1*15:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 927  A*24-B*56-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 928  A*26-B*07-DRB1*15:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 929  A*26-B*53-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 930  A*26-B*55-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 931  A*30-B*18-DRB1*11:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 932  A*30-B*18-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 933  A*30-B*37-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 934  A*30-B*44-DRB1*15:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 935  A*30-B*49-DRB1*04:05-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 936  A*31-B*38-DRB1*12:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 937  A*32:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.07801,159
 938  A*32-B*35-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 939  A*36-B*07-DRB1*16:02-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 940  A*66-B*07-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 941  A*68-B*39-DRB1*11:04-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 942  A*68-B*44-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 943  A*68-B*51-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 944  A*68-B*53-DRB1*14:01-DQA1*01:01-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 945  A*74-B*14-DRB1*11:01-DQA1*03:01-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 946  A*01:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02  India West UCBB 0.07725,829
 947  A*74:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India North UCBB 0.07695,849
 948  A*01:01-B*15:17-C*07:01-DRB1*15:06-DQB1*05:02  India West UCBB 0.07605,829
 949  A*11:01-B*40:06-C*15:02-DRB1*04:05-DQB1*05:02  India Tamil Nadu 0.07512,492
 950  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.07291,510
 951  DRB1*11:01-DQB1*05:02-DPB1*01:01  Gambia pop 3 0.0726939
 952  DRB1*11:01-DQB1*05:02-DPB1*85:01  Gambia pop 3 0.0726939
 953  DRB1*13:04-DQB1*05:02-DPB1*13:01  Gambia pop 3 0.0726939
 954  DRB1*13:04-DQB1*05:02-DPB1*17:01  Gambia pop 3 0.0726939
 955  DRB1*16:02-DQB1*05:02-DPB1*131:01  Gambia pop 3 0.0726939
 956  A*02:01-B*44:02-C*05:01-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.07201,159
 957  A*02:01-B*18:01-C*07:01-DRB1*16:01-DQB1*05:02-DPB1*02:01  Russia Karelia 0.07191,075
 958  A*24:02-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India Central UCBB 0.07174,204
 959  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.07151,510
 960  A*74:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India Central UCBB 0.07144,204
 961  A*02:01-B*35:01-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*15:01  Sri Lanka Colombo 0.0700714
 962  A*02:01-B*37:01-C*12:02-DRB1*07:01-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 963  A*02:01-B*40:01-C*12:03-DRB1*14:04-DQA1*01:01-DQB1*05:02-DPB1*26:01  Sri Lanka Colombo 0.0700714
 964  A*02:03-B*38:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 965  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 966  A*03:01-B*40:01-C*03:04-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 967  A*11:01-B*07:02-C*07:02-DRB1*07:01-DQA1*01:01-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 968  A*11:01-B*15:05-C*03:03-DRB1*13:01-DQA1*01:02-DQB1*05:02-DPB1*09:01  Sri Lanka Colombo 0.0700714
 969  A*11:01-B*15:25-C*01:02-DRB1*07:01-DQA1*02:01-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 970  A*11:01-B*15:25-C*04:03-DRB1*15:01-DQA1*01:03-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 971  A*11:01-B*27:07-C*15:02-DRB1*15:02-DQA1*01:01-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 972  A*11:01-B*35:03-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 973  A*24:02-B*15:01-C*03:03-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 974  A*24:02-B*15:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 975  A*24:02-B*18:01-C*07:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 976  A*24:02-B*18:01-C*07:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 977  A*24:02-B*38:02-C*07:02-DRB1*15:04-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 978  A*24:02-B*51:01-C*07:02-DRB1*15:02-DQA1*05:01-DQB1*05:02-DPB1*15:01  Sri Lanka Colombo 0.0700714
 979  A*24:07-B*07:05-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 980  A*24:17-B*51:01-C*16:02-DRB1*12:02-DQA1*01:01-DQB1*05:02-DPB1*05:01  Sri Lanka Colombo 0.0700714
 981  A*26:01-B*07:05-C*07:02-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*09:01  Sri Lanka Colombo 0.0700714
 982  A*26:01-B*40:06-C*12:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 983  A*32:01-B*08:01-C*04:01-DRB1*03:01-DQA1*05:01-DQB1*05:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 984  A*32:01-B*15:05-C*03:03-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*09:01  Sri Lanka Colombo 0.0700714
 985  A*32:01-B*35:01-C*04:01-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 986  A*68:01-B*51:01-C*15:15-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 987  A*02:01-B*40:02-C*15:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.07003,078
 988  A*02:01-B*51:01-C*15:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 989  A*02:01-B*67:01-C*07:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:02  Japan pop 17 0.07003,078
 990  A*02:06-B*55:02-C*01:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 991  A*26:05-B*51:01-C*15:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 992  A*31:01-B*40:02-C*03:04-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 993  A*31:01-B*51:01-C*14:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 994  DRB1*11:03-DQB1*05:02  Italy pop 5 0.0700975
 995  DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*04:02  Hong Kong Chinese HKBMDR. DQ and DP 0.06951,064
 996  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India Central UCBB 0.06934,204
 997  A*11:01-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  USA Asian pop 2 0.06901,772
 998  A*11:01:01:01-B*27:02:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.06841,510
 999  A*24:02-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Colombia Bogotá Cord Blood 0.06841,463
 1,000  A*26:01-B*07:02-C*12:03-DRB1*15:01-DQB1*05:02  Colombia Bogotá Cord Blood 0.06841,463

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 3,918) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 40  


   

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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