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 : 
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Displaying 1 to 100 (from 203) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*44-DRB1*15:01-DQB1*06:02  Spain Arratia Valley Basque 2.700083
 2  A*11-B*44-DRB1*15:01-DQB1*06:02  Spain Arratia Valley Basque 2.700083
 3  A*02-B*44-DRB1*15:01-DQB1*06:02  Spain Pas Valley 2.200088
 4  A*29:02-B*44:03:01-C*16:01-DRB1*15:01:01-DQA1*01:02-DQB1*06:02  Morocco Atlantic Coast Chaouya 2.100098
 5  A*02-B*44-DRB1*15:01-DQB1*06:02  Spain North Cabuerniga 1.500095
 6  B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Ireland South 1.2000250
 7  A*23-B*44-DRB1*15:01-DQB1*06:02  Colombia San Basilio de Palenque 1.191042
 8  A*02:01:01-B*44:03:01-C*16:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5368521
 9  A*11:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 10  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  USA NMDP American Indian South or Central America 0.46575,926
 11  A*33:01:01-B*44:03:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:07:01-DPB1*19:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 12  A*29:02-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 13  B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 14  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
 15  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  USA NMDP Alaska Native or Aleut 0.31201,376
 16  A*43:01-B*44:03-C*07:01-DRB1*15:01-DQA1*05:01-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 17  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.27404,335
 18  A*23:01-B*44:03-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 19  A*23:01-B*44:03-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 20  A*26:01-B*44:03-C*16:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 21  A*02-B*44-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.2531641
 22  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.2414521
 23  A*29:02-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 24  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 25  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.21951,075
 26  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.21802,411
 27  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.21601,159
 28  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.20871,463
 29  A*03:01-B*44:02-C*05:04-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.20511,463
 30  A*29:02-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.20141,463
 31  A*01:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 32  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 33  A*24:02-B*44:02-C*07:02-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 34  A*29:02:01-B*44:03-C*16:01:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 35  A*32:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 36  A*11:01:01-B*44:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 37  A*23:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 38  A*33:01:01-B*44:03:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 39  A*74:03-B*44:03:01-C*16:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 40  A*02:01-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Panama 0.1900462
 41  A*24:02-B*44:03-C*07:04-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Indian 0.1845271
 42  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.18413,456,066
 43  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.159923,595
 44  A*29:02-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  USA NMDP Caribean Indian 0.152914,339
 45  A*02:01-B*44:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 46  A*03:01-B*44:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 47  A*29:01-B*44:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 48  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 49  A*29:02-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.14001,999
 50  A*25:01-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.13671,463
 51  A*68:01-B*44:02-C*07:04-DRB1*15:01-DQB1*06:02-DPB1*02:01  Russia Karelia 0.13521,075
 52  A*32:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.13201,159
 53  A*30:01-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.12901,159
 54  A*11-B*44-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.1241641
 55  A*03:01-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.08702,411
 56  A*03:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.08601,999
 57  A*03:01-B*44:02-C*16:04-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.08601,159
 58  A*23:01-B*44:03-C*04:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.08601,159
 59  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.08304,856
 60  A*23-B*44-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.0780641
 61  A*11:01-B*44:03-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 62  A*33:03-B*44:03-C*14:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 63  A*01:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 64  A*02:01:01:01-B*44:27:01-C*07:04:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06801,510
 65  A*29:02-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.06001,159
 66  A*03:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*03:01  Russia Karelia 0.05601,075
 67  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05561,075
 68  A*33:03-B*44:03-C*07:06-DRB1*15:01-DQB1*06:02  India Central UCBB 0.05324,204
 69  A*33:03-B*44:03-C*14:02-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 70  A*01:01-B*44:03-C*04:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 71  A*02:01-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 72  A*03:01-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 73  A*11:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 74  A*25:01-B*44:03-C*04:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 75  A*26:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 76  A*24:02-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.04304,856
 77  A*24:02-B*44:05-C*02:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.04301,159
 78  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.041123,595
 79  A*02:01:01-B*44:27:01-C*07:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.041123,595
 80  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.04001,510
 81  A*29:02-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.03833,456,066
 82  A*02:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03761,510
 83  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.036923,595
 84  A*33:03-B*44:03-C*07:06-DRB1*15:01-DQB1*06:02  India North UCBB 0.03625,849
 85  A*02:13-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 86  A*31:01-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 87  A*02:01-B*44:02-C*16:04-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 88  A*02:01-B*44:03-C*03:04-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 89  A*03:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 90  A*24:02-B*44:02-C*02:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 91  A*24:02-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 92  A*24:02-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 93  A*26:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 94  A*26:01-B*44:03-C*04:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 95  A*02:01:09-B*44:05:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 96  A*29:01:01:01-B*44:02:01:01-C*16:04:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 97  A*32:01:01-B*44:02:01:01-C*16:04:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 98  A*32:01:01-B*44:27:01-C*07:04:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 99  A*03:02-B*44:02-C*16:04-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.03104,856
 100  A*02:07-B*44:03-C*14:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078

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 203) 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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