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 2,121) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 22  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*11:01-B*48:01-DRB1*03:01  Malaysia Kedah Kensiu 2.380021
 902  A*11:01-B*48:01-DRB1*04:03  Israel USA Jews 0.01046,058
 903  A*11:01-B*48:01-DRB1*04:04  Hong Kong Chinese cord blood registry 0.00683,892
 904  A*11:01-B*48:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.04093,892
 905  A*11:01-B*48:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 906  A*11:01-B*48:01-DRB1*07:01  Israel USSR Jews 0.001445,681
 907  A*11:01-B*48:01-DRB1*08:01  Israel USSR Jews 0.000668045,681
 908  A*11:01-B*48:01-DRB1*08:03  New Zealand Maori with Admixed History 1.4286105
 909  A*11:01-B*48:01-DRB1*08:03  New Zealand Polynesians with Full Ancestry 2.381021
 910  A*11:01-B*48:01-DRB1*08:03  New Zealand Maori with Full Ancestry 1.100046
 911  A*11:01-B*48:01-DRB1*08:03  New Zealand Polynesians with Admixed History 1.852027
 912  A*11:01-B*48:01-DRB1*08:10-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 913  A*11:01-B*48:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.06943,892
 914  A*11:01-B*48:01-DRB1*11:01  New Zealand Polynesians with Admixed History 1.852027
 915  A*11:01-B*48:01-DRB1*11:01  New Zealand Maori with Full Ancestry 3.300046
 916  A*11:01-B*48:01-DRB1*11:01  New Zealand Polynesians with Full Ancestry 2.381021
 917  A*11:01-B*48:01-DRB1*11:01  New Zealand Maori with Admixed History 5.2381105
 918  A*11:01-B*48:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 919  A*11:01-B*48:01-DRB1*12:01  Hong Kong Chinese cord blood registry 0.02733,892
 920  A*11:01-B*48:01-DRB1*14:01  Israel USSR Jews 0.002245,681
 921  A*11:01-B*48:01-DRB1*14:54  Hong Kong Chinese cord blood registry 0.00963,892
 922  A*11:01-B*48:03  USA Asian pop 2 0.02801,772
 923  A*11:01-B*48:03-C*03:04-DRB1*08:03  Hong Kong Chinese BMDR 0.00497,595
 924  A*11:01-B*48:03-C*08:01-DRB1*11:01  Hong Kong Chinese BMDR 0.01327,595
 925  A*11:01-B*48:03-C*08:01-DRB1*12:01  Hong Kong Chinese BMDR 0.00597,595
 926  A*11:01-B*48:03-C*08:01-DRB1*12:02  Hong Kong Chinese BMDR 0.02657,595
 927  A*11:01-B*48:03-C*08:01-DRB1*14:05  Hong Kong Chinese BMDR 0.02247,595
 928  A*11:01-B*48:03-DRB1*08:03  Hong Kong Chinese cord blood registry 0.00733,892
 929  A*11:01-B*48:03-DRB1*09:01  Hong Kong Chinese cord blood registry 0.01073,892
 930  A*11:01-B*48:03-DRB1*14:05  Hong Kong Chinese cord blood registry 0.02393,892
 931  A*11:01-B*48:03-DRB1*14:18  Hong Kong Chinese cord blood registry 0.00773,892
 932  A*11:01-B*48:04-C*08:148-DRB1*12:69-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 933  A*11:02:01-B*48:01:01-C*08:01:01-DRB1*04:06:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 934  A*11:02:01-B*48:03:01-C*08:01:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02855,266
 935  A*11:02-B*48:01  Taiwan Ami 1.800098
 936  A*11:02-B*48:01  USA Asian pop 2 0.02801,772
 937  A*11:02-B*48:01-C*08:01-DRB1*12:01  Hong Kong Chinese BMDR 0.00667,595
 938  A*11:02-B*48:01-C*08:01-DRB1*14:54  Hong Kong Chinese BMDR 0.01267,595
 939  A*11:02-B*48:01-C*08:03-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.01101,772
 940  A*11:02-B*48:01-C*08:03-DRB1*09:01  Japan pop 16 0.005018,604
 941  A*11:02-B*48:01-C*08:03-DRB1*09:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 942  A*11:02-B*48:01-C*08:03-DRB1*14:05-DQB1*05:03  USA Asian pop 2 0.01101,772
 943  A*11:02-B*48:01-C*15:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01467,595
 944  A*11:02-B*48:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.01463,892
 945  A*11:02-B*48:03-C*08:01-DRB1*11:01  Hong Kong Chinese BMDR 0.02487,595
 946  A*11:02-B*48:03-DRB1*12:02  Hong Kong Chinese cord blood registry 0.00983,892
 947  A*11:03-B*48:01:01-C*08:01:01  China Jingpo Minority 0.4950105
 948  A*11:03-B*48:01:01-C*08:01:01-DRB1*15:04  China Jingpo Minority 0.5210105
 949  A*11:03-B*48:01:01-DRB1*15:04  China Jingpo Minority 0.5210105
 950  A*11:03-B*48:01-C*08:03-DRB1*07:01-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 951  A*11-B*48-DRB1*01:01  Chile Santiago 0.0181920
 952  A*11-B*48-DRB1*01:08  Chile Santiago 0.0181920
 953  A*11-B*48-DRB1*01:50  Chile Santiago 0.0181920
 954  A*11-B*48-DRB1*08  Brazil Para State 0.01565,000
 955  A*11-B*48-DRB1*11:01  USA NMDP Asian and Pacific Islander 0.1000359,423
 956  A*11-B*48-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 957  A*23:01:01-B*48:01:01-C*08:03:01-DRB1*15:01:01:03-DQB1*06:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 958  A*23:01:01-B*48:02:01-C*06:02:01-DRB1*04:11:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 959  A*23:01-B*48:01  USA Hispanic pop 2 0.03001,999
 960  A*23:01-B*48:01-C*01:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 961  A*23:01-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 962  A*23-B*48-DRB1*04  Brazil Para State 0.02545,000
 963  A*23-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City East 0.625079
 964  A*23-B*48-DRB1*16  Brazil South East Cord Blood 0.004011,409
 965  A*24:02:01:01-B*48:01:01-C*03:03:01-DRB1*14:01-DQB1*05:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 966  A*24:02:01:01-B*48:01:01-C*06:02:01:01-DRB1*15:02-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 967  A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 968  A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 969  A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 970  A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 971  A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 972  A*24:02:01:01-B*48:01:01-C*08:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 973  A*24:02:01-B*48:01:01  China Jingpo Minority 0.9900105
 974  A*24:02:01-B*48:01:01-C*03:03:01-DRB1*14:07:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00685,266
 975  A*24:02:01-B*48:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03  Russia Bashkortostan, Bashkirs 0.4167120
 976  A*24:02:01-B*48:01:01-C*08:01:01  South African Indian population 1.000050
 977  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 978  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 979  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00475,266
 980  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*04:10:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 981  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*08:03:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01895,266
 982  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.11531,734
 983  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 984  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002023,595
 985  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 986  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*14:54:01-DQB1*05:02:01  Poland BMR 0.002123,595
 987  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*15:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 988  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 989  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*15:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01205,266
 990  A*24:02:01-B*48:01:01-C*08:03  China Jingpo Minority 0.9900105
 991  A*24:02:01-B*48:01:01-C*08:03:01  South African Indian population 1.000050
 992  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 993  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 994  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.03351,734
 995  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*11:02:01-DQB1*03:03:02  Poland BMR 0.002123,595
 996  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.005823,595
 997  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 998  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 999  A*24:02:01-B*48:01:01-C*08:03-DRB1*15:02:01  China Jingpo Minority 0.5210105
 1,000  A*24:02:01-B*48:01:01-C*08:22:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734

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 2,121) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 22  


   

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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