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 3,461) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 35  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*68:02-B*15:10-C*03:04-DRB1*11:01-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 902  A*68:02-B*49:01-C*07:01-DRB1*04:05-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 903  A*68:02-B*58:01-C*07:01-DRB1*15:03-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 904  A*68:03-B*14:02-C*08:02-DRB1*11:02-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 905  A*68:06-B*38:01-C*02:02-DRB1*01:02-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 906  A*68:07-B*44:02-C*05:01-DRB1*08:02-DQB1*04:02-DPB1*02:01  Panama 0.1900462
 907  A*74:01-B*42:01-C*17:01-DRB1*03:02-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 908  A*80:01-B*07:05-C*02:02-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 909  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1894833
 910  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.1889833
 911  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:02-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.187528,927
 912  DRB1*10:01-DQB1*05:01-DPB1*02:01  Gambia pop 3 0.1866939
 913  DRB1*13:04-DQB1*03:19-DPB1*02:01  Gambia pop 3 0.1866939
 914  DQA1*01:01-DQB1*05:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.18451,064
 915  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
 916  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1801833
 917  A*01-B*08-C*07-DRB1*04-DQB1*03-DPB1*02  Norway ethnic Norwegians 0.18004,510
 918  DRB1*13:04-DQB1*06:02-DPB1*02:01  Gambia pop 3 0.1781939
 919  DRB1*15:01-DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.1769833
 920  A*03:01-B*15:01-C*03:03-DRB1*10:01-DQB1*05:01-DPB1*02:01  Russia Karelia 0.17571,075
 921  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
 922  DRB1*11:01-DQB1*03:19-DPB1*02:01  Gambia pop 3 0.1741939
 923  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1725833
 924  DRB1*04:05:01-DQB1*04:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1720496
 925  DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.17191,064
 926  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
 927  A*02-B*40-C*03-DRB1*01-DQB1*05-DPB1*02  Norway ethnic Norwegians 0.17004,510
 928  A*02-B*44-C*05-DRB1*04-DQB1*03-DPB1*02  Norway ethnic Norwegians 0.17004,510
 929  A*11-B*35-C*04-DRB1*04-DQB1*03-DPB1*02  Norway ethnic Norwegians 0.17004,510
 930  A*01:01-B*27:05-C*02:02-DRB1*12:02-DQB1*03:01-DPB1*02:01  Russia Karelia 0.16941,075
 931  A*02:01-B*27:05-C*01:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.16931,075
 932  A*11:01-B*44:02-C*01:02-DRB1*12:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.16921,075
 933  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
 934  DRB1*01:02-DQB1*05:01-DPB1*02:01  Gambia pop 3 0.1691939
 935  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.1682833
 936  DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1681833
 937  DRB1*08:04-DQB1*03:01-DPB1*02:01  Gambia pop 3 0.1675939
 938  DRB1*15:01:01:01-DQB1*06:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1650496
 939  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
 940  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
 941  DRB1*04:05:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1630496
 942  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
 943  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
 944  A*02:01-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 0.16191,075
 945  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
 946  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
 947  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:03-DPB1*02:01  Tanzania Maasai 0.1597336
 948  A*01:01-B*18:01-C*07:328-DRB1*13:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 949  A*01:01-B*41:01-C*07:01-DRB1*01:02-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 950  A*01:01-B*41:01-C*07:95-DRB1*03:02-DQB1*04:02-DPB1*02:01  Tanzania Maasai 0.1597336
 951  A*01:01-B*57:03-C*07:181-DRB1*04:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.1597336
 952  A*01:01-B*58:01-C*03:33-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 953  A*01:01-B*58:02-C*07:249-DRB1*04:05-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 954  A*01:03-B*07:235-C*16:10-DRB1*08:04-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 955  A*02:01-B*14:02-C*08:02-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 956  A*02:01-B*39:24-C*17:01-DRB1*07:01-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.1597336
 957  A*02:01-B*41:01-C*16:08-DRB1*04:01-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 958  A*02:01-B*45:01-C*02:09-DRB1*08:04-DQB1*04:02-DPB1*02:01  Tanzania Maasai 0.1597336
 959  A*02:01-B*51:01-C*16:01-DRB1*13:02-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 960  A*02:01-B*57:03-C*16:04-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 961  A*02:01-B*81:01-C*06:02-DRB1*09:01-DQB1*02:02-DPB1*02:01  Tanzania Maasai 0.1597336
 962  A*02:02-B*42:02-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 963  A*02:02-B*57:03-C*07:01-DRB1*11:02-DQB1*03:19-DPB1*02:01  Tanzania Maasai 0.1597336
 964  A*03:01-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Tanzania Maasai 0.1597336
 965  A*03:01-B*35:01-C*06:02-DRB1*14:04-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 966  A*03:01-B*44:03-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 967  A*03:01-B*45:07-C*16:07-DRB1*01:02-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 968  A*03:01-B*47:03-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 969  A*03:01-B*58:01-C*07:136-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.1597336
 970  A*03:26-B*15:03-C*02:09-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 971  A*23:01-B*47:03-C*06:02-DRB1*13:02-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 972  A*24:02-B*18:01-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 973  A*24:02-B*53:01-C*07:328-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.1597336
 974  A*26:01-B*15:03-C*04:01-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 975  A*26:12-B*35:02-C*04:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Tanzania Maasai 0.1597336
 976  A*26:30-B*44:03-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 977  A*29:02-B*07:05-C*15:05-DRB1*01:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 978  A*29:02-B*58:01-C*07:06-DRB1*11:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 979  A*30:01-B*08:01-C*07:02-DRB1*08:04-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 980  A*30:01-B*14:14-C*07:05-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 981  A*30:01-B*35:01-C*07:14-DRB1*03:02-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 982  A*30:01-B*42:01-C*17:30-DRB1*03:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 983  A*30:01-B*49:01-C*17:01-DRB1*11:02-DQB1*03:19-DPB1*02:01  Tanzania Maasai 0.1597336
 984  A*30:02-B*15:10-C*03:04-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 985  A*30:02-B*57:03-C*04:01-DRB1*11:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 986  A*30:02-B*57:03-C*06:15-DRB1*03:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 987  A*30:02-B*57:03-C*07:170-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 988  A*30:04-B*44:03-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 989  A*30:04-B*58:02-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 990  A*30:09-B*58:02-C*06:02-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 991  A*30:10-B*35:01-C*06:02-DRB1*11:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.1597336
 992  A*34:02-B*39:10-C*12:03-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 993  A*34:02-B*40:12-C*04:04-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.1597336
 994  A*68:01-B*07:02-C*07:02-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 995  A*68:02-B*08:01-C*07:02-DRB1*13:02-DQB1*06:03-DPB1*02:01  Tanzania Maasai 0.1597336
 996  A*68:02-B*13:02-C*06:02-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 997  A*68:02-B*47:03-C*07:01-DRB1*03:01-DQB1*06:08-DPB1*02:01  Tanzania Maasai 0.1597336
 998  A*68:02-B*53:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.1597336
 999  A*68:02-B*57:02-C*07:22-DRB1*13:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 1,000  A*68:02-B*57:03-C*07:01-DRB1*15:03-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336

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 3,461) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 35  


   

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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