Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 151) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01-B*38-DRB1*11-DQB1*03:01  Mexico Campeche, Campeche city 5.882434
 2  A*24-B*38-DRB1*11-DQB1*03:01  Mexico Morelos Rural 5.000030
 3  A*33-B*38-DRB1*11:04-DQB1*03:01  Peru Lamas City Lama 1.800083
 4  A*01:01-B*38:01-DRB1*11:04-DQB1*03:01  Chile Mapuche 0.770066
 5  A*68:01-B*38:01-DRB1*11:01-DQB1*03:01  Chile Mapuche 0.770066
 6  A*01-B*38-DRB1*11-DQB1*03:01  Mexico Mexico City East 0.625079
 7  A*01-B*38-DRB1*11-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 8  A*24-B*38-DRB1*11-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 9  A*02-B*38-DRB1*11-DQB1*03:01  Mexico Sinaloa Rural 0.5464183
 10  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 11  A*03:01-B*38:01-C*12:03-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 12  A*24:02-B*38:01-C*12:03-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 13  A*24:03-B*38:01-C*07:01-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 14  A*26-B*38-DRB1*11-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 15  A*02-B*38-DRB1*11-DQB1*03:01  Mexico Guerrero state 0.3472144
 16  A*33-B*38-DRB1*11-DQB1*03:01  Mexico Nuevo Leon Rural 0.3409439
 17  A*02-B*38-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.3382641
 18  A*02:03-B*38:02-C*07:02-DRB1*11:06-DQB1*03:01  India Northeast UCBB 0.3378296
 19  A*11:01-B*38:02-C*07:02-DRB1*11:06-DQB1*03:01  India Northeast UCBB 0.3378296
 20  A*01-B*38-DRB1*11-DQB1*03:01  Mexico Mexico City Center 0.3247152
 21  A*26-B*38-DRB1*11-DQB1*03:01  Mexico Mexico City Center 0.3247152
 22  A*26-B*38-DRB1*11-DQB1*03:01  Mexico Guanajuato Rural 0.3067162
 23  A*30-B*38-DRB1*11-DQB1*03:01  Mexico Veracruz, Veracruz city 0.2907171
 24  A*26-B*38-DRB1*11-DQB1*03:01  Mexico Sinaloa Rural 0.2732183
 25  A*29:02-B*38:01-C*12:03-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 26  A*02-B*38-DRB1*11-DQB1*03:01  Mexico Sonora Rural 0.2538197
 27  A*24-B*38-DRB1*11-DQB1*03:01  Mexico Coahuila Rural 0.2294216
 28  A*02-B*38-DRB1*11-DQB1*03:01  Mexico Chihuahua Rural 0.2092236
 29  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.19871,510
 30  A*26:01:01-B*38:01:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 31  A*02-B*38-DRB1*11-DQB1*03:01  Mexico Zacatecas Rural 0.1859266
 32  A*02:01-B*38:02-C*07:02-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 33  A*01:01-B*38:01-C*06:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.17301,159
 34  A*23-B*38-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 35  A*26:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.14101,159
 36  A*01:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 37  A*02:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 38  A*02-B*38-DRB1*11-DQB1*03:01  Mexico Coahuila, Torreon 0.1250396
 39  A*26:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.11304,856
 40  A*24:02-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.10504,856
 41  A*26:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 42  A*26:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.09241,075
 43  A*01-B*38-DRB1*11-DQB1*03:01  Mexico Veracruz Rural 0.0924539
 44  A*11:01-B*38:02-C*07:02-DRB1*11:06-DQB1*03:01  USA Asian pop 2 0.08901,772
 45  A*02:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 46  A*03:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 47  A*29-B*38-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0843641
 48  A*26:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.08404,856
 49  A*03-B*38-DRB1*11:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 50  A*03-B*38-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 51  A*26-B*38-DRB1*11:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 52  A*02:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.07504,856
 53  A*01-B*38-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0717641
 54  A*01:01-B*38:01-C*06:02-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 55  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 56  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 57  A*11:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06571,510
 58  A*24:02-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.06141,463
 59  A*32:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.06004,856
 60  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.058423,595
 61  A*24:02-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05651,075
 62  A*25:01-B*38:01-C*12:03-DRB1*11:03-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05641,075
 63  A*01:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05204,856
 64  A*01:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.05004,856
 65  A*26:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  India Central UCBB 0.04764,204
 66  A*33:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 67  A*02:07-B*38:02-C*07:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 68  A*11:01-B*38:02-C*07:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 69  A*29:01-B*38:02-C*07:02-DRB1*11:06-DQB1*03:01  USA Asian pop 2 0.04401,772
 70  A*32:01:01-B*38:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.04371,510
 71  A*02:06-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 72  A*02-B*38-DRB1*11-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 73  A*26-B*38-DRB1*11-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 74  A*26:01-B*38:01-C*12:03-DRB1*11:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 75  A*01:01-B*38:01-C*06:02-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 76  A*02:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 77  A*02:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 78  A*23:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 79  A*24:02-B*38:01-C*06:02-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 80  A*26:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 81  A*26:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 82  A*01:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 83  A*02:01:01:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 84  A*02:02:01-B*38:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 85  A*26:01:01-B*38:01:01-C*12:03:06-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 86  A*32:01:01-B*38:01:01-C*12:03:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 87  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.03011,734
 88  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.028823,595
 89  A*33:03:01-B*38:02:01-C*03:02:02-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 90  A*02-B*38-DRB1*11-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 91  A*68-B*38-DRB1*11-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 92  A*68:01:01:02-B*38:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.02251,510
 93  A*24:02-B*38:01-C*12:03-DRB1*11:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 94  A*26:01-B*38:01-C*12:03-DRB1*11:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 95  A*01:01-B*38:02-C*15:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 96  A*02:03-B*38:02-C*07:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 97  A*11:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02004,856
 98  A*68:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.02004,856
 99  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.017323,595
 100  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.016523,595

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 151) 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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