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 801 to 900 (from 2,790) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.1869570
 802  DRB1*10:01-DQB1*05:01-DPB1*02:01  Gambia pop 3 0.1866939
 803  DRB1*13:04-DQB1*03:19-DPB1*02:01  Gambia pop 3 0.1866939
 804  DQA1*01:01-DQB1*05:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.18451,064
 805  A*31:01:02-B*35:08-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.180228,927
 806  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1801833
 807  DRB1*13:04-DQB1*06:02-DPB1*02:01  Gambia pop 3 0.1781939
 808  A*03:01-B*15:01-C*03:03-DRB1*10:01-DQB1*05:01-DPB1*02:01  Russia Karelia 0.17571,075
 809  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.17433,456,066
 810  DRB1*11:01-DQB1*03:19-DPB1*02:01  Gambia pop 3 0.1741939
 811  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1725833
 812  DRB1*04:05:01-DQB1*04:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1720496
 813  DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.17191,064
 814  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.17125,266
 815  A*01:01-B*27:05-C*02:02-DRB1*12:02-DQB1*03:01-DPB1*02:01  Russia Karelia 0.16941,075
 816  A*02:01-B*27:05-C*01:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.16931,075
 817  A*11:01-B*44:02-C*01:02-DRB1*12:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.16921,075
 818  A*24:02:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.169228,927
 819  DRB1*01:02-DQB1*05:01-DPB1*02:01  Gambia pop 3 0.1691939
 820  DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1681833
 821  DRB1*08:04-DQB1*03:01-DPB1*02:01  Gambia pop 3 0.1675939
 822  DRB1*15:01:01:01-DQB1*06:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1650496
 823  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.164128,927
 824  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*04:04:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.16315,266
 825  DRB1*04:05:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1630496
 826  A*31:01:02-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.162728,927
 827  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.16215,266
 828  A*02:01-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 0.16191,075
 829  A*02:01-B*15:11-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.16003,078
 830  A*24:02-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.16003,078
 831  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:03-DPB1*02:01  Tanzania Maasai 0.1597336
 832  A*01:01-B*18:01-C*07:328-DRB1*13:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 833  A*01:01-B*41:01-C*07:01-DRB1*01:02-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 834  A*01:01-B*41:01-C*07:95-DRB1*03:02-DQB1*04:02-DPB1*02:01  Tanzania Maasai 0.1597336
 835  A*01:01-B*57:03-C*07:181-DRB1*04:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.1597336
 836  A*01:01-B*58:01-C*03:33-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 837  A*01:01-B*58:02-C*07:249-DRB1*04:05-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 838  A*01:03-B*07:235-C*16:10-DRB1*08:04-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 839  A*02:01-B*14:02-C*08:02-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 840  A*02:01-B*39:24-C*17:01-DRB1*07:01-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.1597336
 841  A*02:01-B*41:01-C*16:08-DRB1*04:01-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 842  A*02:01-B*45:01-C*02:09-DRB1*08:04-DQB1*04:02-DPB1*02:01  Tanzania Maasai 0.1597336
 843  A*02:01-B*51:01-C*16:01-DRB1*13:02-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 844  A*02:01-B*57:03-C*16:04-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 845  A*02:01-B*81:01-C*06:02-DRB1*09:01-DQB1*02:02-DPB1*02:01  Tanzania Maasai 0.1597336
 846  A*02:02-B*42:02-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 847  A*02:02-B*57:03-C*07:01-DRB1*11:02-DQB1*03:19-DPB1*02:01  Tanzania Maasai 0.1597336
 848  A*03:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Tanzania Maasai 0.1597336
 849  A*03:01-B*35:01-C*06:02-DRB1*14:04-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 850  A*03:01-B*44:03-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 851  A*03:01-B*45:07-C*16:07-DRB1*01:02-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 852  A*03:01-B*47:03-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 853  A*03:01-B*58:01-C*07:136-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.1597336
 854  A*03:26-B*15:03-C*02:09-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 855  A*23:01-B*47:03-C*06:02-DRB1*13:02-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 856  A*24:02-B*18:01-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 857  A*24:02-B*53:01-C*07:328-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.1597336
 858  A*26:01-B*15:03-C*04:01-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 859  A*26:12-B*35:02-C*04:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Tanzania Maasai 0.1597336
 860  A*26:30-B*44:03-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 861  A*29:02-B*07:05-C*15:05-DRB1*01:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 862  A*29:02-B*58:01-C*07:06-DRB1*11:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 863  A*30:01-B*08:01-C*07:02-DRB1*08:04-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 864  A*30:01-B*14:14-C*07:05-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 865  A*30:01-B*35:01-C*07:14-DRB1*03:02-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 866  A*30:01-B*42:01-C*17:30-DRB1*03:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 867  A*30:01-B*49:01-C*17:01-DRB1*11:02-DQB1*03:19-DPB1*02:01  Tanzania Maasai 0.1597336
 868  A*30:02-B*15:10-C*03:04-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 869  A*30:02-B*57:03-C*04:01-DRB1*11:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 870  A*30:02-B*57:03-C*06:15-DRB1*03:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 871  A*30:02-B*57:03-C*07:170-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 872  A*30:04-B*44:03-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 873  A*30:04-B*58:02-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 874  A*30:09-B*58:02-C*06:02-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 875  A*30:10-B*35:01-C*06:02-DRB1*11:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.1597336
 876  A*34:02-B*39:10-C*12:03-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 877  A*34:02-B*40:12-C*04:04-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.1597336
 878  A*68:01-B*07:02-C*07:02-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 879  A*68:02-B*08:01-C*07:02-DRB1*13:02-DQB1*06:03-DPB1*02:01  Tanzania Maasai 0.1597336
 880  A*68:02-B*13:02-C*06:02-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 881  A*68:02-B*47:03-C*07:01-DRB1*03:01-DQB1*06:08-DPB1*02:01  Tanzania Maasai 0.1597336
 882  A*68:02-B*53:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.1597336
 883  A*68:02-B*57:02-C*07:22-DRB1*13:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 884  A*68:02-B*57:03-C*07:01-DRB1*15:03-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 885  A*68:02-B*57:03-C*07:06-DRB1*07:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 886  A*68:02-B*58:01-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 887  A*68:02-B*58:01-C*15:05-DRB1*13:02-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 888  A*68:02-B*58:02-C*07:06-DRB1*11:01-DQB1*06:08-DPB1*02:01  Tanzania Maasai 0.1597336
 889  A*74:01-B*15:03-C*02:10-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.1597336
 890  A*74:01-B*44:03-C*04:01-DRB1*15:03-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.1597336
 891  A*74:01-B*49:01-C*07:141-DRB1*11:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 892  DRB1*11:01-DQB1*06:02-DPB1*02:01  Gambia pop 3 0.1594939
 893  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.159128,927
 894  DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1584833
 895  A*02:01-B*27:05-C*01:02-DRB1*04:08-DQB1*03:01-DPB1*02:01  Russia Karelia 0.15751,075
 896  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.153228,927
 897  A*24:02:01-B*35:08-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.146028,927
 898  DRB1*04:05-DQB1*05:01-DPB1*02:01  Gambia pop 3 0.1451939
 899  DRB1*13:01-DQB1*02:02-DPB1*02:01  Gambia pop 3 0.1451939
 900  DRB1*13:04-DQB1*02:01-DPB1*02:01  Gambia pop 3 0.1451939

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 801 to 900 (from 2,790) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  


   

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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