Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 1 to 100 (from 222) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*58:02-C*06:02  Kenya Luo 11.7000265
 2  B*58:02-C*06:02  Uganda Kampala pop 2 10.3000175
 3  B*58:02-C*06:02  Kenya Nandi 8.5000240
 4  A*66:01-B*58:02-C*06:02  Kenya Luo 5.1000265
 5  B*58:02-C*06:02  Uganda Kampala 4.4000161
 6  B*58:02-C*06:02  USA African American pop 4 3.96402,411
 7  B*58:02-C*06:02  USA African American 3.4000252
 8  A*66:01-B*58:02-C*06:02  Kenya Nandi 2.9000240
 9  A*02:02-B*58:02-C*06:02  Kenya Nandi 2.7000240
 10  A*66:01:01-B*58:02:01-C*06:02:01-DRB1*08:07-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 11  A*02:02-B*58:02-C*06:02  Uganda Kampala 1.9000161
 12  A*66:01-B*58:02-C*06:02  Uganda Kampala 1.9000161
 13  A*74:01-B*58:02-C*06:02-DRB1*11:02-DQA1*05:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 1.5000100
 14  A*02:02-B*58:02-C*06:02  Kenya Luo 1.3000265
 15  A*03:01-B*58:02-C*06:02  Kenya Luo 1.3000265
 16  A*68:01-B*58:02-C*06:02-DRB1*07:01-DQA1*03:01-DQB1*02:02-DPB1*04:02  South Africa Worcester 1.3000159
 17  B*58:02-C*06:02  Mexico Mexico City Mestizo pop 2 1.2800234
 18  A*02:02-B*58:02-C*06:02-DRB1*11:01-DQA1*01:02-DQB1*05:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 1.0000100
 19  A*03:01-B*58:02-C*06:02  Kenya Nandi 1.0000240
 20  A*23:01:01-B*58:02-C*06:02:01  South African Indian population 1.000050
 21  A*23:01-B*58:02-C*06:02  Kenya Luo 1.0000265
 22  A*24:02:01-B*58:02-C*06:02:01  South African Mixed ancestry 1.000050
 23  A*30:01-B*58:02-C*06:02  Kenya Luo 1.0000265
 24  A*30:04:01-B*58:02-C*06:02:01  South African Mixed ancestry 1.000050
 25  A*66:01-B*58:02-C*06:02:01  South African Mixed ancestry 1.000050
 26  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:02-DPB1*19:01  South Africa Worcester 1.0000159
 27  A*74:01-B*58:02-C*06:02  Kenya Luo 1.0000265
 28  A*03:01:01-B*58:02-C*06:02:01-DRB1*03:01  Costa Rica African -Caribbean (G) 0.9804102
 29  A*03:01:01-B*58:02-C*06:02:01-DRB1*07:01  Costa Rica African -Caribbean (G) 0.9804102
 30  A*74:01-B*58:02-C*06:02:01-DRB1*12:01  Costa Rica African -Caribbean (G) 0.9804102
 31  A*68:01-B*58:02-C*06:02-DRB1*12:01-DQA1*01:05-DQB1*05:01  United Arab Emirates Abu Dhabi 0.960052
 32  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  Mexico Mexico City Mestizo pop 2 0.8600234
 33  B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  Mexico Mexico City Mestizo pop 2 0.8600234
 34  A*32:01-B*58:02-C*06:02-DRB1*14:54-DQB1*05:01-DPB1*55:01  Tanzania Maasai 0.7987336
 35  A*03:01:01-B*58:02:01-C*06:02:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*105:01:01  South African Black 0.7040142
 36  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
 37  A*68:01:01-B*58:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.7040142
 38  A*68:01-B*58:02-C*06:02-DRB1*12:01-DRB3*02:02-DQB1*05:01  USA NMDP African American pop 2 0.6994416,581
 39  A*68:01-B*58:02-C*06:02-DRB1*12:01-DQB1*05:01  USA African American pop 4 0.67102,411
 40  A*68:01-B*58:02-C*06:02-DRB1*12:01-DRB3*02:02-DQB1*05:01  USA NMDP Caribean Black 0.628333,328
 41  A*32:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  South Africa Worcester 0.6000159
 42  A*68:01-B*58:02-C*06:02-DRB1*12:01-DRB3*02:02-DQB1*05:01  USA NMDP African 0.590728,557
 43  A*31:01:02-B*58:02:01-C*06:02:01-DRB1*11:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 44  A*74:01:01-B*58:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 45  A*68:01-B*58:02-C*06:02-DRB1*12:01-DQB1*05:01  USA NMDP Black South or Central American 0.56984,889
 46  A*30:01-B*58:02-C*06:02-DRB1*07:01-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 47  A*66:01-B*58:02-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 48  A*66:01-B*58:02-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 49  A*74:01-B*58:02-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 50  A*74:01-B*58:02-C*06:02-DRB1*11:02-DQA1*05:01-DQB1*03:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 51  A*74:01-B*58:02-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*34:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 52  A*74:03-B*58:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*18:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 53  A*74:03-B*58:02-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 54  A*74:03-B*58:02-C*06:02-DRB1*11:01-DQA1*01:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 55  A*02:02-B*58:02-C*06:02:01-DRB1*11:02:01  Costa Rica African -Caribbean (G) 0.4902102
 56  A*03:01:01-B*58:02-C*06:02:01-DRB1*01:03  Costa Rica African -Caribbean (G) 0.4902102
 57  A*74:01-B*58:02-C*06:02:01-DRB1*13:03:01  Costa Rica African -Caribbean (G) 0.4902102
 58  A*02:02-B*58:02-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*105:01  Tanzania Maasai 0.4792336
 59  A*66:01:01-B*58:02-C*06:02:01-DRB1*13:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 60  B*58:02-C*06:02  USA Hispanic pop 2 0.45201,999
 61  A*01:01:01-B*58:02:01-C*06:02:01-DRB1*14:54:01-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 62  A*03:01:01-B*58:02:01-C*06:02:01-DRB1*04:01:01-DQB1*03:02:01-DPB1*15:01:01  South African Black 0.3520142
 63  A*03:01:01-B*58:02:01-C*06:02:01-DRB1*11:01:02-DQB1*02:01:01-DPB1*02:01:02  South African Black 0.3520142
 64  A*23:17-B*58:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 65  A*26:01:01-B*58:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:04:01-DPB1*14:01:01  South African Black 0.3520142
 66  A*29:02:01-B*58:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:02:01-DPB1*14:01:01  South African Black 0.3520142
 67  A*29:02:01-B*58:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPB1*18:01  South African Black 0.3520142
 68  A*30:01:01-B*58:02:01-C*06:02:01-DRB1*03:02:01-DQB1*06:02:01-DPB1*23:01:01  South African Black 0.3520142
 69  A*30:02:01-B*58:02:01-C*06:02:01-DRB1*12:01:01-DQB1*03:19:01-DPB1*18:01  South African Black 0.3520142
 70  A*32:106-B*58:02:01-C*06:02:01-DRB1*07:01:01-DQB1*04:02:01-DPB1*02:01:19  South African Black 0.3520142
 71  A*32:106-B*58:02:01-C*06:02:01-DRB1*08:04:01-DQB1*03:19:01-DPB1*105:01:01  South African Black 0.3520142
 72  A*34:02:01-B*58:02:01-C*06:02:01-DRB1*15:03:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 73  A*68:01:01-B*58:02:01-C*06:02:01-DRB1*12:01:01-DQB1*03:02:01-DPB1*18:01  South African Black 0.3520142
 74  A*68:01:01-B*58:02:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*01:01:01  South African Black 0.3520142
 75  A*68:02:01-B*58:02:01-C*06:02:01-DRB1*08:04:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 76  A*74:01:01-B*58:02:01-C*06:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*04:01:01  South African Black 0.3520142
 77  A*02:01-B*58:02-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 0.3333150
 78  A*66:01:01-B*58:02-C*06:02:01-DRB1*08:02:01  Nicaragua Mestizo (G) 0.3226155
 79  A*02:02-B*58:02-C*06:02-DRB1*01:02-DQB1*05:01-DPB1*04:01  Tanzania Maasai 0.3195336
 80  A*03:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*04:01  Tanzania Maasai 0.3195336
 81  A*66:01-B*58:02-C*06:02-DRB1*07:01-DQB1*02:02-DPB1*04:02  Tanzania Maasai 0.3195336
 82  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*19:01  Tanzania Maasai 0.3195336
 83  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:03-DPB1*13:01  Tanzania Maasai 0.3195336
 84  A*02:02:01-B*58:02:01-C*06:02:01-DRB1*11:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 85  A*01:01-B*58:02-C*06:02-DRB1*11:14-DQA1*05:05-DQB1*06:02-DPB1*105:01  South Africa Worcester 0.3000159
 86  A*01:23-B*58:02-C*06:02-DRB1*04:05-DQA1*01:02-DQB1*03:02-DPB1*105:01  South Africa Worcester 0.3000159
 87  A*02:01-B*58:02-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*05:01-DPB1*105:01  South Africa Worcester 0.3000159
 88  A*02:02-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:04-DPB1*04:01  South Africa Worcester 0.3000159
 89  A*02:05-B*58:02-C*06:02-DRB1*04:01-DQA1*01:02-DQB1*03:01-DPB1*14:01  South Africa Worcester 0.3000159
 90  A*03:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 91  A*24:02-B*58:02-C*06:02-DRB1*04:05-DQA1*03:01-DQB1*05:01-DPB1*14:01  South Africa Worcester 0.3000159
 92  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
 93  A*30:01-B*58:02-C*06:02-DRB1*12:02-DQA1*06:01-DQB1*06:03-DPB1*01:01  South Africa Worcester 0.3000159
 94  A*30:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:04-DPB1*04:02  South Africa Worcester 0.3000159
 95  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
 96  A*66:01-B*58:02-C*06:02-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.3000159
 97  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  South Africa Worcester 0.3000159
 98  A*68:01-B*58:02-C*06:02-DRB1*04:04-DQA1*05:01-DQB1*06:02-DPB1*04:01  South Africa Worcester 0.3000159
 99  A*68:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*05:04-DPB1*04:01  South Africa Worcester 0.3000159
 100  A*68:01-B*58:02-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  South Africa Worcester 0.3000159

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 222) records   Pages: 1 2 3 of 3  


   

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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