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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 102) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Ireland South 4.5000250
 2  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Ireland South 4.0000250
 3  A*02:01-B*44:02-C*05:01-DRB1*04:01:01-DQB1*03:01  England North West 3.9000298
 4  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Ireland South 3.0000250
 5  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP European Caucasian 1.85241,242,890
 6  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP North American Amerindian 1.524735,791
 7  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA NMDP American Indian South or Central America 1.44695,926
 8  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA NMDP Alaska Native or Aleut 1.07331,376
 9  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.79433,456,066
 10  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.7782521
 11  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 12  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Middle Eastern or North Coast of Africa 0.511270,890
 13  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.475423,595
 14  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.44504,335
 15  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA African American pop 4 0.43002,411
 16  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP African American pop 2 0.3795416,581
 17  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA NMDP Caribean Indian 0.338614,339
 18  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Mexican or Chicano 0.3361261,235
 19  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.33271,510
 20  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.328011,499
 21  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 22  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  South Africa Worcester 0.3000159
 23  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Caribean Hispanic 0.2972115,374
 24  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.27851,075
 25  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA Hispanic pop 2 0.26601,999
 26  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 27  A*32:01-B*44:02-C*05:01-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 28  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Caribean Black 0.251233,328
 29  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA NMDP Black South or Central American 0.24884,889
 30  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP African 0.233628,557
 31  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Germany DKMS - Italy minority 0.21601,159
 32  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.21304,856
 33  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Hispanic South or Central American 0.2086146,714
 34  A*01:01-B*44:02-C*05:01-DRB1*04:01:01-DQB1*03:01  England North West 0.2000298
 35  A*25:01-B*44:02-C*05:01-DRB1*04:01:01-DQB1*03:01  England North West 0.2000298
 36  A*30:02-B*44:02-C*05:01-DRB1*04:01:01-DQB1*03:01  England North West 0.2000298
 37  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 38  A*03:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.17671,376
 39  A*03:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Germany DKMS - Italy minority 0.17301,159
 40  A*68:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA Hispanic pop 2 0.10301,999
 41  A*24:02:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09771,510
 42  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Japanese 0.086324,582
 43  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*20:01  Russia Karelia 0.08231,075
 44  A*24:02-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.08204,856
 45  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Filipino 0.077350,614
 46  A*01:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 47  A*03:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 48  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.06663,456,066
 49  A*01:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*05:01  Russia Karelia 0.05741,075
 50  A*03:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.05641,075
 51  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.05641,075
 52  A*32:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05571,075
 53  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.05153,456,066
 54  A*24:02-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA Hispanic pop 2 0.05101,999
 55  A*30:02-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA African American pop 4 0.05002,411
 56  A*03:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 57  A*24:02-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.04663,456,066
 58  A*01:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA African American pop 4 0.04402,411
 59  A*23:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  USA African American pop 4 0.04402,411
 60  A*03:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.04323,456,066
 61  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.04063,456,066
 62  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.04041,463
 63  A*26:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 64  A*29:02-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 65  A*30:02-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 66  A*24:02-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 67  A*24:03-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 68  A*32:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 69  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.029723,595
 70  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Southeast Asian 0.029227,978
 71  A*24:02-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.02801,463
 72  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.027623,595
 73  A*01:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.02723,456,066
 74  A*32:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02304,856
 75  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*20:01  Germany DKMS - German donors 0.02243,456,066
 76  A*11:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.02063,456,066
 77  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Vietnamese 0.019843,540
 78  A*01:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.015923,595
 79  A*32:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01553,456,066
 80  A*68:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01533,456,066
 81  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*16:01  Germany DKMS - German donors 0.01473,456,066
 82  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*05:01  Germany DKMS - German donors 0.01263,456,066
 83  A*01:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01204,856
 84  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Chinese 0.011499,672
 85  A*68:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01133,456,066
 86  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP Korean 0.011277,584
 87  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*01:01  Germany DKMS - German donors 0.01123,456,066
 88  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*14:01  Germany DKMS - German donors 0.01053,456,066
 89  A*02:17-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 90  A*11:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 91  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.009023,595
 92  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  India North UCBB 0.00855,849
 93  A*31:01:02-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.007423,595
 94  A*11:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.006223,595
 95  A*02:01:05-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.005923,595
 96  A*32:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01  India South UCBB 0.004411,446
 97  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP South Asian Indian 0.0040185,391
 98  A*25:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.003623,595
 99  A*68:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 100  A*02:56:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002123,595

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 102) 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.
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