Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 294) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30-B*49-C*07:01-DRB1*13-DQB1*06  Russia North Ossetian 9.0200127
 2  A*68-B*49:01-C*07-DRB1*13:02-DQB1*06:04  Rwanda 2.9000280
 3  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 4  A*74-B*49:01-C*07-DRB1*13:02-DQB1*06:04  Rwanda 2.0000280
 5  A*01-B*49-C*07-DRB1*13  Macedonia MBMDR - Macedonian Muslims 1.973776
 6  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 1.2100124
 7  A*01-B*49-C*07:01-DRB1*13-DQB1*06  Russia North Ossetian 1.1800127
 8  A*01-B*49-C*07-DRB1*13  Macedonia MBMDR - Albanian 1.1719128
 9  A*02-B*49-C*07:01-DRB1*13-DQB1*06  Russia North Ossetian 0.8300127
 10  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.7987336
 11  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*05:01  Iran Gorgan 0.780064
 12  A*68:01:01-B*49:01:01-C*07:01:01-DRB1*13:03:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 13  A*68-B*49-C*07-DRB1*13-DQA1*05-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 14  B*49-C*07-DRB1*13-DQA1*05-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 15  B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo pop 2 0.6400234
 16  A*01:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Bosnia and Herzegovina minority 0.53701,028
 17  A*01-B*49-C*07-DRB1*13  Macedonia 0.5245286
 18  A*74:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.4792336
 19  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 20  A*02:02-B*49:01-C*07:01-E*01:03:01-F*01:01:02-G*01:03-DRB1*13:02:01-DQA1*01:02-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 21  A*23-B*49-C*07-DRB1*13  Iran pop 4 0.4000855
 22  A*30-B*49-C*07-DRB1*13  Iran pop 4 0.4000855
 23  A*30-B*49-C*07-DRB1*13  Macedonia MBMDR - Albanian 0.3906128
 24  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
 25  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Panama 0.3800462
 26  A*11:01-B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 27  A*11:01-B*49:01-C*07:01-DRB1*13:03-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 28  A*34:02-B*49:01-C*07:01-DRB1*13:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 29  B*49:01-C*07:01-DRB1*13:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 30  B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 31  B*49:01-C*07:01-DRB1*13:03-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 32  A*30:02-B*49:01-C*07:01-DRB1*13:02  Brazil Vale do Ribeira Quilombos 0.3472144
 33  A*01-B*49-C*07-DRB1*13  Macedonia MBMDR - Macedonian 0.32581,283
 34  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*13:02:01  Nicaragua Mestizo (G) 0.3226155
 35  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 36  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 37  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
 38  A*02:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Bosnia and Herzegovina minority 0.29001,028
 39  A*24:02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Bashkortostan, Tatars 0.2604192
 40  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.23921,463
 41  A*03:01-B*49:01-C*07:01-DRB1*13:03-DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*17:01  Mexico Chiapas Lacandon Mayans 0.2294218
 42  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:01-DPB1*10:01  Mexico Chiapas Lacandon Mayans 0.2294218
 43  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:06-DQB1*06:04-DPB1*13:01  Nicaragua Managua 0.2165339
 44  A*02-B*49-C*07-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.21301,743
 45  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.21072,492
 46  A*02:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 47  A*32:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 48  A*02:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Croatia minority 0.19802,057
 49  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 50  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:07-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 51  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 52  A*29:02:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 53  A*69:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Panama 0.1900462
 54  A*23-B*49-C*07-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.18351,743
 55  A*33-B*49-C*07-DRB1*13  Macedonia 0.1748286
 56  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.17301,159
 57  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.168928,927
 58  A*74:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Northeast UCBB 0.1689296
 59  A*01:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Greece minority 0.16001,894
 60  A*02:05-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.1597336
 61  A*02-B*49-C*07-DRB1*13  Macedonia MBMDR - Macedonian 0.15861,283
 62  A*33-B*49-C*07-DRB1*13  Macedonia MBMDR - Macedonian 0.15591,283
 63  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.15304,204
 64  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.15275,849
 65  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*14:01  Sri Lanka Colombo 0.1401714
 66  A*01:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Croatia minority 0.14002,057
 67  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 68  A*02:05-B*49:01-C*07:01-DRB1*13:02-DQB1*03:02  Italy pop 5 0.1400975
 69  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 70  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*03:01  Italy pop 5 0.1400975
 71  A*30:04-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Greece minority 0.13201,894
 72  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.12901,159
 73  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.12865,829
 74  A*03:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Portugal minority 0.12801,176
 75  A*32:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Portugal minority 0.12801,176
 76  A*01-B*49-C*07-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.12761,743
 77  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.12504,856
 78  A*01:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Romania minority 0.12101,234
 79  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 80  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 81  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.103011,446
 82  A*01:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.10251,463
 83  A*03:01-B*49:01-C*07:01-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.10251,463
 84  A*02:05-B*49:01-C*07:01-DRB1*13:02  Italy pop 5 0.1000975
 85  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.09931,510
 86  A*32:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 87  A*26:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - United Kingdom minority 0.09601,043
 88  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.09401,999
 89  A*31:01:02-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.093628,927
 90  A*01:02-B*49:01-C*07:01-DRB1*13:05  Germany DKMS - Spain minority 0.09001,107
 91  A*30:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Spain minority 0.09001,107
 92  A*68:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Spain minority 0.09001,107
 93  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.08904,856
 94  A*01:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Portugal minority 0.08501,176
 95  A*23:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Portugal minority 0.08501,176
 96  A*23:01-B*49:01-C*07:01-DRB1*13:01  Germany DKMS - Spain minority 0.07601,107
 97  A*31:01-B*49:01-C*07:01-DRB1*13:01  Germany DKMS - Croatia minority 0.07302,057
 98  A*24:02-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Greece minority 0.07201,894
 99  A*24:02-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - France minority 0.07101,406
 100  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.07022,492

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 294) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional