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 179) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  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
 2  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 1.2100124
 3  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.7987336
 4  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*05:01  Iran Gorgan 0.780064
 5  B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo pop 2 0.6400234
 6  A*01:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Bosnia and Herzegovina minority 0.53701,028
 7  A*74:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.4792336
 8  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
 9  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Panama 0.3800462
 10  A*30:02-B*49:01-C*07:01-DRB1*13:02  Brazil Vale do Ribeira Quilombos 0.3472144
 11  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*13:02:01  Nicaragua Mestizo (G) 0.3226155
 12  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
 13  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
 14  A*02:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Bosnia and Herzegovina minority 0.29001,028
 15  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
 16  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.23921,463
 17  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
 18  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
 19  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.21072,492
 20  A*02:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 21  A*32:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 22  A*02:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Croatia minority 0.19802,057
 23  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
 24  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
 25  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
 26  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
 27  A*69:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Panama 0.1900462
 28  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.17301,159
 29  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
 30  A*74:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Northeast UCBB 0.1689296
 31  A*01:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Greece minority 0.16001,894
 32  A*02:05-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.1597336
 33  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.15304,204
 34  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.15275,849
 35  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
 36  A*01:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Croatia minority 0.14002,057
 37  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 38  A*02:05-B*49:01-C*07:01-DRB1*13:02-DQB1*03:02  Italy pop 5 0.1400975
 39  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
 40  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*03:01  Italy pop 5 0.1400975
 41  A*30:04-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Greece minority 0.13201,894
 42  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.12901,159
 43  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.12865,829
 44  A*03:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Portugal minority 0.12801,176
 45  A*32:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Portugal minority 0.12801,176
 46  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.12504,856
 47  A*01:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Romania minority 0.12101,234
 48  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 49  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 50  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.103011,446
 51  A*01:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.10251,463
 52  A*02:05-B*49:01-C*07:01-DRB1*13:02  Italy pop 5 0.1000975
 53  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
 54  A*32:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 55  A*26:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - United Kingdom minority 0.09601,043
 56  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.09401,999
 57  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
 58  A*30:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Spain minority 0.09001,107
 59  A*68:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Spain minority 0.09001,107
 60  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.08904,856
 61  A*01:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Portugal minority 0.08501,176
 62  A*23:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Portugal minority 0.08501,176
 63  A*24:02-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Greece minority 0.07201,894
 64  A*24:02-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - France minority 0.07101,406
 65  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.07022,492
 66  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.0700714
 67  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 68  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 69  A*01:01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 70  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 71  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.06204,856
 72  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.06032,492
 73  A*02:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Austria minority 0.05901,698
 74  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*15:01  Russia Karelia 0.05651,075
 75  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*14:01  Russia Karelia 0.05651,075
 76  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.05204,856
 77  A*30:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 78  A*01:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - United Kingdom minority 0.04801,043
 79  A*03:02-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - United Kingdom minority 0.04801,043
 80  A*24:02-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - United Kingdom minority 0.04801,043
 81  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.047711,446
 82  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 83  A*29:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 84  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.04614,204
 85  A*01:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Spain minority 0.04501,107
 86  A*01:02-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Spain minority 0.04501,107
 87  A*02:20-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.04401,772
 88  A*03:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.04402,411
 89  A*11:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Portugal minority 0.04301,176
 90  A*29:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 91  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 92  A*68:02-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Portugal minority 0.04301,176
 93  A*03:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Netherlands minority 0.04201,374
 94  A*02:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Romania minority 0.04101,234
 95  A*03:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.04104,856
 96  A*11:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Romania minority 0.04101,234
 97  A*30:04-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Romania minority 0.04101,234
 98  A*31:01-B*49:01-C*07:01-DRB1*13:02  Germany DKMS - Romania minority 0.04101,234
 99  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.04012,492
 100  A*31:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.04012,492

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 179) 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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional