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 4,542) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 46  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Northeast UCBB 0.1689296
 902  A*02:11-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.1689296
 903  A*03:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02  India Northeast UCBB 0.1689296
 904  A*03:01-B*57:01-C*07:06-DRB1*07:01-DQB1*03:03  India Northeast UCBB 0.1689296
 905  A*33:03-B*57:01-C*06:02-DRB1*07:01-DQB1*02:02  India Northeast UCBB 0.1689296
 906  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA NMDP Caribean Indian 0.168714,339
 907  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.16751,189
 908  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Black 0.165133,328
 909  A*32:01:01-B*57:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.1649519
 910  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.16465,849
 911  A*11:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.16401,374
 912  A*26:01-B*57:03  USA African American pop 4 0.16402,411
 913  A*30-B*57-DRB1*13  Brazil Para State 0.16405,000
 914  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*03:01  Russia Karelia 0.16391,075
 915  A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.16315,849
 916  A*01-B*57-DRB1*15:01  Chile Santiago 0.1630920
 917  A*26:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.16302,057
 918  A*26:01-B*57:01-C*06:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.16245,849
 919  A*01:01-B*57:01-DRB1*11:04  Israel Ashkenazi Jews pop 3 0.16104,625
 920  A*01-B*57-C*07-DRB1*07-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.16004,510
 921  B*57:01-DRB1*11:01  Italy pop 5 0.1600975
 922  A*01:01-B*57:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.159711,446
 923  A*01:01-B*57:03-C*07:01-DRB1*15:03-DQB1*06:02-DPB1*55:01  Tanzania Maasai 0.1597336
 924  A*01:01-B*57:03-C*07:181-DRB1*04:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.1597336
 925  A*01:01-B*57:03-C*07:22-DRB1*11:04-DQB1*06:02-DPB1*55:01  Tanzania Maasai 0.1597336
 926  A*01:02-B*57:03-C*01:11-DRB1*03:01-DQB1*02:01-DPB1*17:01  Tanzania Maasai 0.1597336
 927  A*01:03-B*57:02-C*06:02-DRB1*04:05-DQB1*03:02-DPB1*124:01  Tanzania Maasai 0.1597336
 928  A*01:09-B*57:02-C*07:76-DRB1*15:03-DQB1*06:02-DPB1*04:01  Tanzania Maasai 0.1597336
 929  A*02:01-B*57:02-C*08:13-DRB1*13:02-DQB1*06:09-DPB1*105:01  Tanzania Maasai 0.1597336
 930  A*02:01-B*57:03-C*07:01-DRB1*14:54-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 931  A*02:01-B*57:03-C*16:04-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 932  A*02:02-B*57:03-C*07:01-DRB1*11:02-DQB1*03:19-DPB1*02:01  Tanzania Maasai 0.1597336
 933  A*02:02-B*57:03-C*07:371-DRB1*15:03-DQB1*06:02-DPB1*15:01  Tanzania Maasai 0.1597336
 934  A*02:05-B*57:02-C*07:406-DRB1*13:02-DQB1*03:02-DPB1*17:01  Tanzania Maasai 0.1597336
 935  A*23:01-B*57:02-C*08:02-DRB1*03:01-DQB1*02:01-DPB1*105:01  Tanzania Maasai 0.1597336
 936  A*30:01-B*57:03-C*01:35-DRB1*15:03-DQB1*06:02-DPB1*15:01  Tanzania Maasai 0.1597336
 937  A*30:02-B*57:03-C*04:01-DRB1*11:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 938  A*30:02-B*57:03-C*06:15-DRB1*03:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 939  A*30:02-B*57:03-C*07:170-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 940  A*30:04-B*57:03-C*08:13-DRB1*03:01-DQB1*06:02-DPB1*03:01  Tanzania Maasai 0.1597336
 941  A*68:02-B*57:02-C*07:22-DRB1*13:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 942  A*68:02-B*57:03-C*07:01-DRB1*15:03-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 943  A*68:02-B*57:03-C*07:06-DRB1*07:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 944  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 0.1584261,235
 945  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.15822,403
 946  A*01:01-B*57:01-DRB1*07:01  Israel Poland Jews 0.157013,871
 947  A*01-B*57-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.1560641
 948  A*02-B*57-DRB1*07:01-DQA1*01:02-DQB1*03:03  Brazil Paraná Caucasian 0.1560641
 949  A*11:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - China minority 0.15601,282
 950  A*26-B*57-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 951  A*26-B*57-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 952  A*33-B*57-DRB1*07:01-DQA1*05:05-DQB1*03:03  Brazil Paraná Caucasian 0.1560641
 953  A*30:02-B*57:03-C*18:01-DRB1*13:01-DQB1*05:01  USA NMDP Black South or Central American 0.15524,889
 954  A*01:01-B*57:01-DRB1*11:04  Israel Morocco Jews 0.153036,718
 955  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.15304,856
 956  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.1529326
 957  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Durango Rural 0.1529326
 958  A*29-B*57-DRB1*07-DQB1*03:03  Mexico Durango Rural 0.1529326
 959  A*34-B*57-DRB1*03:01-DQB1*02  Mexico Durango Rural 0.1529326
 960  A*01:01-B*57:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.15272,403
 961  A*01:01-B*57:01-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 962  A*01:01-B*57:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 963  A*01:01-B*57:01-DRB1*07:01-DQB1*03:03  Mexico Mexico City Tlalpan 0.1515330
 964  A*01:01-B*57:01-DRB1*13:01-DQB1*06:03  Mexico Mexico City Tlalpan 0.1515330
 965  A*02:01-B*57:02-DRB1*04:01-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 966  A*02:01-B*57:02-DRB1*15:01-DQB1*06:03  Mexico Mexico City Tlalpan 0.1515330
 967  A*32:01-B*57:01-DRB1*16:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 968  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.15105,849
 969  B*57:03-C*18:01  USA Hispanic pop 2 0.15101,999
 970  A*01-B*57-DRB1*16  Italy Lombardy 0.1500674
 971  A*01:03-B*57:02-DRB1*15:03  Israel Ethiopia Jews 0.14905,928
 972  A*24-B*57-C*06-DRB1*04  Macedonia MBMDR - Macedonian 0.14861,283
 973  A*32:01-B*57:01  USA Asian pop 2 0.14801,772
 974  A*01:01-B*57:01-C*07:01-DRB1*07:01-DQB1*03:03  Colombia Bogotá Cord Blood 0.14771,463
 975  A*01:01-B*57:01-C*06:02-DRB1*03:01  Germany DKMS - Bosnia and Herzegovina minority 0.14701,028
 976  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India West UCBB 0.14655,829
 977  A*01:01-B*57:01-DRB1*11:04  Israel USSR Jews 0.146045,681
 978  A*03:01-B*57:04  USA African American pop 4 0.14602,411
 979  A*24:02-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.14601,028
 980  A*02:01-B*57:01-DRB1*07:01  Israel Libya Jews 0.14503,739
 981  A*32:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1450356
 982  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  China Zhejiang Han 0.14421,734
 983  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  China Zhejiang Han 0.14421,734
 984  A*01-B*57-DRB1*09-DQB1*03:03  Mexico Michoacan Rural 0.1433348
 985  A*03-B*57-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.1433348
 986  A*11-B*57-DRB1*01-DQB1*05  Mexico Michoacan Rural 0.1433348
 987  A*33-B*57-DRB1*01-DQB1*05  Mexico Michoacan Rural 0.1433348
 988  A*03:02-B*57:03-DRB1*13:02  Israel Ethiopia Jews 0.14305,928
 989  A*30:02-B*57:02  USA African American pop 4 0.14302,411
 990  A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.14265,829
 991  A*01:01-B*57:01-C*06:02-DRB1*11:04  Germany DKMS - Greece minority 0.14201,894
 992  A*01:01-B*57:01-C*07:01-DRB1*07:01  Germany DKMS - France minority 0.14201,406
 993  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP Mexican or Chicano 0.1418261,235
 994  A*01:01-B*57:01-DRB1*07:01  Hong Kong Chinese cord blood registry 0.14053,892
 995  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*03:01  Sri Lanka Colombo 0.1401714
 996  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*16:01  Sri Lanka Colombo 0.1401714
 997  A*01:01-B*57:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 998  A*01-B*57-DRB1*03  Iran pop 4 0.1401855
 999  A*01-B*57-DRB1*15  Iran pop 4 0.1401855
 1,000  A*02:11-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.1401714

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 4,542) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 46  


   

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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