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 1 to 100 (from 842) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*02:01:01-DPB1*01:01:01  Ecuador African 33.600058
 2  DPA1*02:01:01-DPB1*01:01:01  Gambia 17.1000146
 3  DPA1*02:02:02-DPB1*01:01:01  Uganda Baganda 16.000047
 4  DPA1*02:02:02-DPB1*01:01:01  Ecuador African 13.800058
 5  DRB1*15:02:01-DPB1*01:01:01  Taiwan Orchid Island Yami 13.300050
 6  DPA1*02:02:02-DPB1*01:01:01  Gambia 11.0000146
 7  DPA1*02:01:01-DPB1*01:01:01  Uganda Baganda 10.600047
 8  DPA1*02:02:02-DPB1*01:01:01  Cameroon Saa 9.6000172
 9  DRB1*11:01:01-DPB1*01:01:01  Taiwan Orchid Island Yami 8.000050
 10  DPA1*02:01:01-DPB1*01:01:01  Cameroon Saa 7.6000172
 11  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 4.5000100
 12  DPA1*02:02:02-DPB1*01:01:01  India Bombay 4.200059
 13  DRB1*03-DRB3*01-DQA1*05-DQB1*02-DPB1*01  USA San Francisco Caucasian 4.1000220
 14  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Francisco Caucasian 3.9000220
 15  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Francisco Caucasian 3.9000220
 16  DPA1*02:01:01-DPB1*01:01:02  Cameroon Saa 3.8000172
 17  DPA1*02:01:02-DPB1*01:01:01  France Ceph 3.2000124
 18  DRB1*13:02-DQB1*05:01-DPB1*01:01  Gambia pop 3 3.0437939
 19  DRB1*11:01-DQB1*06:02-DPB1*01:01  Congo Kinshasa Bantu 3.000090
 20  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 2.4650142
 21  A*01-B*08-C*07-DRB1*03-DQB1*02-DPB1*01  Norway ethnic Norwegians 2.46004,510
 22  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 23  A*02:01:01-B*81:01:01-C*08:04:01-DRB1*11:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 24  A*03:01:01-B*07:02:01-C*06:02:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 25  A*03:01:01-B*08:01:01-C*07:06:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 26  A*30:02:01-B*45:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*03:01:01-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 27  DRB1*11:02-DQB1*03:19-DPB1*01:01  Gambia pop 3 2.1653939
 28  DRB1*13:04-DQB1*03:19-DPB1*01:01  Gambia pop 3 2.1588939
 29  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 2.12681,075
 30  DRB1*03:01-DQB1*02:01-DPB1*01:01  Ireland South 2.1000250
 31  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 1.99493,456,066
 32  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  South Africa Worcester 1.9000159
 33  DRB1*03:02-DQB1*04:02-DPB1*01:01  Gambia pop 3 1.8628939
 34  A*30:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*01:01:01  South African Black 1.7610142
 35  DPA1*02:01:01-DPB1*01:01:01  India Bombay 1.700059
 36  DPA1*02:01:01-DPB1*01:01:02  Gambia 1.7000146
 37  A*02:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.5000100
 38  A*02:01-B*45:01-C*16:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.5000100
 39  A*29:02-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.5000100
 40  DRB1*04:05-DQB1*03:02-DPB1*01:01  Gambia pop 3 1.4770939
 41  A*03:01:01-B*14:02:01-C*17:01:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 42  A*23:01:01-B*42:01:01-C*02:10:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 43  A*23:01:01-B*50:01:01-C*02:10:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 44  A*23:01:01-B*53:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 45  A*23:17:01-B*15:03:01-C*07:01:01-DRB1*11:01:02-DQB1*03:19:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 46  A*30:01:01-B*38:01:01-C*17:01:01-DRB1*03:02:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 47  A*30:02:01-B*08:01:01-C*07:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 48  A*30:02:01-B*37:01:01-C*07:01:01-DRB1*10:01:01-DQB1*06:04:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 49  A*30:02:01-B*41:02:01-C*03:04:02-DRB1*08:04:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*01:01:02  Brazil Rio de Janeiro Black 1.470668
 50  A*74:01:01-B*42:01:01-C*17:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 51  DRB1*10:01-DQB1*05:01-DPB1*01:01  Gambia pop 3 1.4245939
 52  A*02:01:01-B*45:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 1.4080142
 53  A*33:03:01-B*53:01:01-C*04:01:01-DRB1*08:04:01-DQB1*03:19:01-DPB1*01:01:02  South African Black 1.4080142
 54  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Ireland South 1.4000250
 55  DRB1*03:01-DQB1*02:01-DPB1*01:01  Greece pop3 1.4000246
 56  DRB1*07:01-DQB1*02:02-DPB1*01:01  Ireland South 1.4000250
 57  DRB1*08:04-DQB1*03:19-DPB1*01:01  Gambia pop 3 1.3474939
 58  DPA1*02:01:01-DPB1*01:01:01  Papua New Guinea Highland pop2 1.300028
 59  A*32:01:01-B*42:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 1.1765170
 60  DRB1*13:02-DQB1*06:09-DPB1*01:01  Gambia pop 3 1.1690939
 61  DRB1*13:01-DQB1*06:03-DPB1*01:01  Gambia pop 3 1.1484939
 62  DPA1*02:01-DPB1*01:01  Spain Navarre Basques 1.1000116
 63  DPA1*02:02-DPB1*01:01  Spain Navarre Basques 1.1000116
 64  DPA1*03:01-DPB1*01:01:01  Uganda Baganda 1.100047
 65  A*34:02:01-B*08:01:01-C*07:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 1.0560142
 66  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Diego 1.0420496
 67  DRB1*11:01-DQB1*03:19-DPB1*01:01  Gambia pop 3 1.0130939
 68  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  South Africa Worcester 1.0000159
 69  A*02:01-B*45:01-C*16:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  South Africa Worcester 1.0000159
 70  A*23:01-B*07:02-C*02:10-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  South Africa Worcester 1.0000159
 71  A*30:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 72  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 73  A*74:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 74  A*74:03-B*53:01-C*04:01-DRB1*11:01-DQA1*01:02-DQB1*05:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 75  DPA1*02:01:02-DPB1*01:01:01  Gambia 1.0000146
 76  DPA1*02:02:01-DPB1*01:01:01  Gambia 1.0000146
 77  A*02:01-B*15:03-C*02:10-DRB1*11:01-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.9585336
 78  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.9375405
 79  DRB1*03:01-DQB1*02:01-DPB1*01:01  Gambia pop 3 0.9114939
 80  DRB1*07:01-DQB1*02:02-DPB1*01:01  Gambia pop 3 0.8756939
 81  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01-DQA1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Russian Federation Vologda Region 0.8403119
 82  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01  Russian Federation Vologda Region 0.8403119
 83  DRB1*11:01-DQB1*05:01-DPB1*01:01  Gambia pop 3 0.8043939
 84  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.7987336
 85  A*23:17-B*41:01:01-C*17:01:01-DRB1*04:01:01-DQB1*03:02:01-DPB1*01:01:01  South African Black 0.7040142
 86  A*30:02:01-B*45:01:01-C*16:01:01-DRB1*11:01:02-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.7040142
 87  A*43:01-B*58:02:01-C*06:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.7040142
 88  DRB1*01:02-DQB1*05:01-DPB1*01:01  Gambia pop 3 0.6497939
 89  DRB1*08:04-DQB1*03:01-DPB1*01:01  Gambia pop 3 0.6465939
 90  A*02:05-B*27:03-C*02:02-DRB1*08:04-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.6390336
 91  A*33:01-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.6390336
 92  A*01:01-B*81:01-C*18:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  South Africa Worcester 0.6000159
 93  A*03:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*01:01  South Africa Worcester 0.6000159
 94  A*23:01-B*44:03-C*02:10-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  South Africa Worcester 0.6000159
 95  A*32:01-B*07:02-C*07:01-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPB1*01:01  South Africa Worcester 0.6000159
 96  A*34:02-B*08:01-C*07:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.6000159
 97  A*68:02-B*15:10-C*03:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  South Africa Worcester 0.6000159
 98  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:07:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 99  A*01:01:01-B*14:02:01-C*06:02:01-DRB1*08:04:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 100  A*01:01:01-B*44:03:02-C*15:13:01-DRB1*04:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170

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 1 to 100 (from 842) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  


   

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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