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 100) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*38-C*12-DRB1*11-DQB1*03  Spain Majorca 3.4000407
 2  A*03:01-B*38:01-C*12:03-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 3  A*24:02-B*38:01-C*12:03-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 4  A*68-B*38-C*12:03-DRB1*11-DQB1*03  Russia North Ossetian 0.3900127
 5  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
 6  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
 7  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 8  A*26:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.14101,159
 9  A*01:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 10  A*02:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 11  A*24-B*38-C*12-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.12431,743
 12  A*26:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.11304,856
 13  A*24:02-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.10504,856
 14  A*26:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 15  A*26:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.09241,075
 16  A*02:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 17  A*03:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 18  A*03-B*38-C*12-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.08471,743
 19  A*26:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.08404,856
 20  A*32-B*38-C*12-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.07801,743
 21  A*02:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.07504,856
 22  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
 23  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
 24  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
 25  A*24:02-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.06141,463
 26  A*32:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.06004,856
 27  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
 28  A*24:02-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05651,075
 29  A*25:01-B*38:01-C*12:03-DRB1*11:03-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05641,075
 30  A*01:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05204,856
 31  A*01:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.05004,856
 32  A*26:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  India Central UCBB 0.04764,204
 33  A*33:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 34  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
 35  A*02:06-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 36  A*26:01-B*38:01-C*12:03-DRB1*11:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 37  A*02:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 38  A*02:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 39  A*23:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 40  A*26:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 41  A*26:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 42  A*68:01-B*38:01-C*12:03-DRB1*11:02-DQB1*03:19  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 43  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
 44  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
 45  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
 46  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
 47  A*29:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 48  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
 49  A*24-B*38-C*12-DRB1*11-DQA1*01-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 50  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
 51  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
 52  A*24:02-B*38:01-C*12:03-DRB1*11:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 53  A*26:01-B*38:01-C*12:03-DRB1*11:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 54  A*11:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02004,856
 55  A*26-B*38-C*12-DRB1*11-DQB1*03-DPB1*02  Norway ethnic Norwegians 0.02004,510
 56  A*26-B*38-C*12-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.02004,510
 57  A*68:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.02004,856
 58  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
 59  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
 60  A*11:01:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.015623,595
 61  A*02:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01433,456,066
 62  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.014223,595
 63  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.014223,595
 64  A*26:01-B*38:01-C*12:03-DRB1*11:03-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01373,456,066
 65  A*26:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01363,456,066
 66  A*01:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 67  A*36:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 68  A*02:13-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  USA African American pop 4 0.01102,411
 69  A*11:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 70  A*26:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  USA African American pop 4 0.01102,411
 71  A*68:01:02-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.010623,595
 72  A*26:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01033,456,066
 73  A*01:01-B*38:01-C*12:03-DRB1*11:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 74  A*02-B*38-C*12-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.01004,510
 75  A*31:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 76  A*33:03-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 77  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.009723,595
 78  A*31:01:02-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.008723,595
 79  A*26:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  India West UCBB 0.00865,829
 80  A*01:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.00855,849
 81  A*26:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 82  A*24:03:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.008523,595
 83  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.007223,595
 84  A*26:15-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006423,595
 85  A*33:01:01-B*38:01:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.005923,595
 86  A*66:01:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005123,595
 87  A*32:01:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004623,595
 88  A*26:01-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 89  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.004223,595
 90  A*31:01:02-B*38:01:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.004223,595
 91  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.004023,595
 92  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003223,595
 93  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.003223,595
 94  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.003023,595
 95  A*32:01:01-B*38:01:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.002823,595
 96  A*25:01:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002723,595
 97  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002523,595
 98  A*25:01:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002423,595
 99  A*11:01:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002323,595
 100  A*68:01:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.001423,595

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).




   

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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