Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 127) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*02:01-DPB1*11:01  Spain Navarre Basques 6.8000116
 2  DRB1*07:01-DQA1*02:01-DPA1*02:01-DPB1*11:01  Spain Gipuzkoa Basque 6.7000100
 3  DRB1*07:01-DQA1*02:01-DPA1*02:01-DPB1*11:01  Spain Catalonia Girona 4.200088
 4  DPA1*02:01:01-DPB1*11:01:01  France Ceph 2.4000124
 5  A*01:01:01-B*39:09:01-C*01:02:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Black 2.381073
 6  A*03:01:01-B*07:06:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*11:01:01  Brazil Barra Mansa Rio State Black 2.381073
 7  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 1.8230496
 8  DRB1*07:01-DQB1*02:02-DPB1*11:01  Ireland South 1.6000250
 9  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Black 1.470668
 10  A*66:01:01-B*35:03:01-C*04:01:01-DRB1*13:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Black 1.470668
 11  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Black 1.470668
 12  DPA1*01:03-DPB1*11:01:01  Uganda Baganda 1.100047
 13  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Francisco Caucasian 1.1000220
 14  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Francisco Caucasian 1.1000220
 15  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.7782521
 16  A*23:01-B*27:05-C*02:10-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*11:01  South Africa Worcester 0.6000159
 17  A*02:02:01-B*51:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Parda 0.5882170
 18  A*02:05:01-B*15:10:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Parda 0.5882170
 19  A*03:01:01-B*50:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Parda 0.5882170
 20  A*23:01:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Parda 0.5882170
 21  A*02:01-B*15:03-C*02:10-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*11:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 22  A*23:01-B*15:03-C*02:10-DRB1*13:02-DQA1*01:02-DQB1*02:02-DPB1*11:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 23  A*26:01-B*18:01-C*07:04-DRB1*11:04-DQB1*03:01-DPB1*11:01  Tanzania Maasai 0.4792336
 24  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*11:01  Germany DKMS - German donors 0.46723,456,066
 25  A*68:02-B*53:01-C*04:01-DRB1*13:03-DQA1*02:01-DQB1*02:02-DPA1*02:02-DPB1*11:01  Mexico Chiapas Lacandon Mayans 0.4587218
 26  A*11:01:01-B*53:01:01-C*08:02:01-DRB1*01:02:01-DQA1*01:01:02-DQB1*05:01-DPA1*01:03:01-DPB1*11:01:01  Russian Federation Vologda Region 0.4202119
 27  A*29:02:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*11:01:01  Russian Federation Vologda Region 0.4202119
 28  A*11:01:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 29  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*11:01  Panama 0.3800462
 30  DRB1*16:02-DQB1*05:02-DPB1*11:01  Gambia pop 3 0.3628939
 31  A*01:03:01-B*15:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:02:01-DPB1*11:01:01  South African Black 0.3520142
 32  A*02:05:01-B*58:01:01-C*07:01:01-DRB1*11:02:01-DQB1*03:01:01-DPB1*11:01:01  South African Black 0.3520142
 33  A*03:01:01-B*58:02:01-C*08:04:01-DRB1*10:01:01-DQB1*04:02:01-DPB1*11:01:01  South African Black 0.3520142
 34  A*23:01:01-B*07:02:01-C*07:01:01-DRB1*16:02:01-DQB1*06:04:01-DPB1*11:01:01  South African Black 0.3520142
 35  A*29:02:01-B*42:01:01-C*17:01:01-DRB1*11:02:01-DQB1*03:01:01-DPB1*11:01:01  South African Black 0.3520142
 36  A*68:02:01-B*07:02:01-C*04:01:01-DRB1*15:03:01-DQB1*06:09:01-DPB1*11:01:01  South African Black 0.3520142
 37  A*25:01:01-B*39:01:01-C*12:03:01-DRB1*04:02:01-DQA1*03:01:01-DQB1*03:02-DPA1*02:01:01-DPB1*11:01:01  Russia Belgorod region 0.3268153
 38  A*30:01-B*35:01-C*07:05-DRB1*13:03-DQB1*03:01-DPB1*11:01  Tanzania Maasai 0.3195336
 39  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 40  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 41  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 42  A*03:01:01-B*18:01:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 43  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 44  A*02:05-B*44:03-C*02:10-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*11:01  South Africa Worcester 0.3000159
 45  A*02:05-B*58:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*11:01  South Africa Worcester 0.3000159
 46  A*03:01-B*07:02-C*02:02-DRB1*09:01-DQA1*03:01-DQB1*03:02-DPB1*11:01  South Africa Worcester 0.3000159
 47  A*23:01-B*27:05-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*11:01  South Africa Worcester 0.3000159
 48  A*24:02-B*15:24-C*03:03-DRB1*04:01-DQA1*05:01-DQB1*03:02-DPB1*11:01  South Africa Worcester 0.3000159
 49  A*24:02-B*57:02-C*07:01-DRB1*11:14-DQA1*05:05-DQB1*03:01-DPB1*11:01  South Africa Worcester 0.3000159
 50  A*26:01-B*39:10-C*17:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*11:01  South Africa Worcester 0.3000159
 51  A*29:01-B*58:02-C*06:02-DRB1*15:03-DQA1*02:01-DQB1*02:02-DPB1*11:01  South Africa Worcester 0.3000159
 52  A*29:02-B*49:01-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*11:01  South Africa Worcester 0.3000159
 53  A*30:01-B*58:02-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*11:01  South Africa Worcester 0.3000159
 54  A*32:01-B*08:01-C*02:17-DRB1*07:01-DQA1*03:01-DQB1*02:02-DPB1*11:01  South Africa Worcester 0.3000159
 55  A*34:02-B*58:01-C*06:02-DRB1*04:05-DQA1*03:03-DQB1*06:02-DPB1*11:01  South Africa Worcester 0.3000159
 56  DRB1*03:02-DQB1*04:02-DPB1*11:01  Gambia pop 3 0.2903939
 57  A*02:01-B*57:01-C*06:02-DRB1*13:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 0.2600496
 58  A*23:01-B*35:02-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 0.2600496
 59  A*32:01-B*18:01-C*07:01-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*11:01  USA San Diego 0.2600496
 60  A*34:02-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 0.2600496
 61  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*11:01  Mexico Chiapas Lacandon Mayans 0.2294218
 62  A*02:01-B*27:05-C*07:02-DRB1*16:01-DQA1*01:02-DQB1*05:01-DPB1*11:01  Nicaragua Managua 0.2165339
 63  A*02:06-B*48:03-C*08:01-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPB1*11:01  Nicaragua Managua 0.2165339
 64  A*11:01-B*15:09-C*07:04-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*11:01  Nicaragua Managua 0.2165339
 65  A*24:02-B*39:05-C*07:02-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*11:01  Nicaragua Managua 0.2165339
 66  A*26:01-B*18:05-C*16:01-DRB1*04:02-DQA1*03:01-DQB1*03:02-DPB1*11:01  Nicaragua Managua 0.2165339
 67  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  Nicaragua Managua 0.2165339
 68  A*31:01-B*15:04-C*05:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*11:01  Nicaragua Managua 0.2165339
 69  A*68:02-B*40:02-C*02:02-DRB1*11:04-DQA1*01:01-DQB1*05:01-DPB1*11:01  Nicaragua Managua 0.2165339
 70  A*68:02-B*58:01-C*07:01-DRB1*13:04-DQA1*04:01-DQB1*03:01-DPB1*11:01  Nicaragua Managua 0.2165339
 71  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*08:04:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 72  A*03:01:01-B*07:06:01-C*15:05:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 73  A*03:01:01-B*58:02:01-C*04:01:01-DRB1*13:03:01-DQB1*05:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 74  A*24:02:01-B*45:01:01-C*03:04:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 75  A*31:01:02-B*18:01:01-C*02:02:02-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 76  A*34:02:01-B*15:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 77  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 78  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1945521
 79  A*02:01-B*51:01-C*04:01-DRB1*08:11-DQB1*04:02-DPB1*11:01  Panama 0.1900462
 80  A*02:01-B*53:01-C*04:01-DRB1*07:01-DQB1*06:02-DPB1*11:01  Panama 0.1900462
 81  A*02:02-B*58:02-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*11:01  Panama 0.1900462
 82  A*11:01-B*53:01-C*04:01-DRB1*07:01-DQB1*02:02-DPB1*11:01  Panama 0.1900462
 83  A*23:39-B*35:01-C*04:01-DRB1*01:03-DQB1*05:01-DPB1*11:01  Panama 0.1900462
 84  A*24:02-B*45:01-C*02:02-DRB1*13:02-DQB1*03:01-DPB1*11:01  Panama 0.1900462
 85  A*24:02-B*49:02-C*07:01-DRB1*14:02-DQB1*02:02-DPB1*11:01  Panama 0.1900462
 86  A*29:02-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01-DPB1*11:01  Panama 0.1900462
 87  A*33:01-B*18:01-C*12:03-DRB1*16:02-DQB1*02:02-DPB1*11:01  Panama 0.1900462
 88  A*68:01-B*53:01-C*03:02-DRB1*09:01-DQB1*02:02-DPB1*11:01  Panama 0.1900462
 89  A*01:03-B*07:02-C*07:02-DRB1*03:01-DQB1*02:01-DPB1*11:01  Tanzania Maasai 0.1597336
 90  A*01:03-B*15:10-C*07:02-DRB1*03:01-DQB1*02:01-DPB1*11:01  Tanzania Maasai 0.1597336
 91  A*02:14-B*81:01-C*07:01-DRB1*01:02-DQB1*02:02-DPB1*11:01  Tanzania Maasai 0.1597336
 92  A*26:30-B*41:01-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*11:01  Tanzania Maasai 0.1597336
 93  A*29:02-B*53:01-C*07:01-DRB1*13:02-DQB1*05:01-DPB1*11:01  Tanzania Maasai 0.1597336
 94  A*33:03-B*45:01-C*06:02-DRB1*13:02-DQB1*05:01-DPB1*11:01  Tanzania Maasai 0.1597336
 95  A*36:01-B*53:01-C*06:22-DRB1*13:02-DQB1*05:01-DPB1*11:01  Tanzania Maasai 0.1597336
 96  A*68:02-B*35:01-C*04:01-DRB1*03:01-DQB1*05:01-DPB1*11:01  Tanzania Maasai 0.1597336
 97  A*68:02-B*47:03-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*11:01  Tanzania Maasai 0.1597336
 98  DRB1*01:02-DQB1*05:01-DPB1*11:01  Gambia pop 3 0.1451939
 99  DRB1*11:01-DQB1*05:01-DPB1*11:01  Gambia pop 3 0.1451939
 100  DRB1*11:01-DQB1*06:02-DPB1*11:01  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 1 to 100 (from 127) records   Pages: 1 2 of 2  


   

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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