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 102) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03-B*44-C*16-DRB1*04-DQB1*03  Iraq Kurdistan Region 3.3000209
 2  A*03:02-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.85104,856
 3  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*04:04:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 4  A*01:01-B*44:03-C*16:02-E*01:03:02-F*01:01:01-G*01:06-DRB1*04:02-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 5  A*02:01-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  Italy pop 5 0.2900975
 6  A*29:02-B*44:03-C*16:01-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Diego 0.2600496
 7  A*02:01:01-B*44:03:01-C*16:01:01-DRB1*04:02:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 8  A*29:02-B*44:03-C*16:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 9  A*29:02-B*44:03-C*16:01-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 10  A*29:02-B*44:03-C*16:01-DRB1*04:11-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 11  A*29-B*44-C*16-DRB1*04-DQA1*03-DQB1*03  Spain, Castilla y Leon, Northwest, 0.22711,743
 12  A*29:02-B*44:03-C*16:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.19201,999
 13  A*02-B*44-C*16-DRB1*04-DQA1*03-DQB1*03  Spain, Castilla y Leon, Northwest, 0.13491,743
 14  A*02:01:01-B*44:03:01-C*16:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.114223,595
 15  A*01:01-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Italy minority 0.10801,159
 16  A*02:01-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 17  A*01-B*44-C*16-DRB1*04-DQA1*03-DQB1*03  Spain, Castilla y Leon, Northwest, 0.09851,743
 18  A*29:02-B*44:03-C*16:01-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 19  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.0764221
 20  A*29:02-B*44:03-C*16:01-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 21  A*11:01:01:01-B*44:03:01-C*16:01:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 22  A*03:01-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.06204,856
 23  A*02:01-B*44:02-C*16:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06022,492
 24  A*02:01-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02-DPB1*17:01  Russia Karelia 0.05651,075
 25  A*23:01-B*44:03-C*16:01-DRB1*04:05-DQB1*03:02  USA Hispanic pop 2 0.05001,999
 26  A*29-B*44-C*16-DRB1*04-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.05004,510
 27  A*03:01-B*44:03-C*16:01-DRB1*04:05-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 28  A*29:02-B*44:03-C*16:01-DRB1*04:01-DQB1*03:01  USA African American pop 4 0.04702,411
 29  A*32:01-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 30  A*33:03-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 31  A*01:01-B*44:03-C*16:01-DRB1*04:08-DQB1*03:01  USA African American pop 4 0.04402,411
 32  A*29:02-B*44:03-C*16:01-DRB1*04:04-DQB1*03:02  USA African American pop 4 0.04402,411
 33  A*02:01-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 34  A*30:04-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 35  A*11:01-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.04204,856
 36  A*02:01-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.04104,856
 37  A*03-B*44-C*16-DRB1*04-DQA1*03-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03901,743
 38  A*03:02-B*44:03-C*16:04-DRB1*04:02-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 39  A*29:02-B*44:03-C*16:01-DRB1*04:05-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 40  A*68:01-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 41  A*24:02-B*44:02-C*16:04-DRB1*04:05-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 42  A*26:01-B*44:02-C*16:04-DRB1*04:05-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 43  A*29:02-B*44:03-C*16:01-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*29:02-B*44:03-C*16:01-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*29:02-B*44:03-C*16:01-DRB1*04:05-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 46  A*02:09-B*44:02:01:01-C*16:04:01-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 47  A*03:01:01:01-B*44:02:01:01-C*16:04:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 48  A*03:02:01-B*44:02:01:01-C*16:04:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 49  A*24:02:01:01-B*44:03:01-C*16:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 50  A*29-B*44-C*16-DRB1*04-DQA1*01-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 51  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*04:07-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.0323221
 52  A*02:01-B*44:02-C*16:04-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.03104,856
 53  A*02:05-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.03104,856
 54  A*02:01-B*44:02-C*16:04-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.02904,856
 55  A*03:02:01-B*44:02:01-C*16:04:01-DRB1*04:02:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 56  A*01:01-B*44:03-C*16:01-DRB1*04:05-DQB1*03:02  USA Hispanic pop 2 0.02501,999
 57  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.022423,595
 58  A*02:01-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.02043,456,066
 59  A*01-B*44-C*16-DRB1*04-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.02004,510
 60  A*24:02-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.01804,856
 61  A*02:01-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.01604,856
 62  A*01:01:01-B*44:03:01-C*16:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.015723,595
 63  A*32:01-B*44:02-C*16:04-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01404,856
 64  A*29:02-B*44:03-C*16:01-DRB1*04:04-DQB1*03:02-DPB1*15:01  Germany DKMS - German donors 0.01213,456,066
 65  A*03:02-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02  India Central UCBB 0.01194,204
 66  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.011623,595
 67  A*29:02-B*44:03-C*16:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01133,456,066
 68  A*33:03:01-B*44:03:01-C*16:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.010623,595
 69  A*24:02:01-B*44:03:01-C*16:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.010523,595
 70  A*01:01-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.01023,456,066
 71  A*01:01-B*44:02-C*16:04-DRB1*04:03-DQB1*03:05  Germany DKMS - Turkey minority 0.01004,856
 72  A*02-B*44-C*16-DRB1*04-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.01004,510
 73  A*24:02-B*44:02-C*16:04-DRB1*04:05-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 74  A*31-B*44-C*16-DRB1*04-DQB1*03-DPB1*03  Norway ethnic Norwegians 0.01004,510
 75  A*33:03-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 76  A*69:01-B*44:02-C*16:04-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 77  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.009323,595
 78  A*24:02-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  India West UCBB 0.00865,829
 79  A*11:01-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02  India North UCBB 0.00855,849
 80  A*33:03-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02  India North UCBB 0.00855,849
 81  A*03:02:01-B*44:02:01-C*16:04:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.008523,595
 82  A*03:01:01-B*44:03:01-C*16:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.008223,595
 83  A*02:01-B*44:02-C*16:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 84  A*03:02-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02  India South UCBB 0.004411,446
 85  A*24:02-B*44:02-C*16:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 86  A*24:02-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  India South UCBB 0.004411,446
 87  A*24:07-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  India South UCBB 0.004411,446
 88  A*02:01:01-B*44:03:01-C*16:02:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002923,595
 89  A*01:01:01-B*44:03:01-C*16:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 90  A*01:01:01-B*44:03:01-C*16:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 91  A*02:01:01-B*44:03:01-C*16:01:01-DRB1*04:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 92  A*02:08-B*44:03:01-C*16:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 93  A*03:01:01-B*44:02:01-C*16:04:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 94  A*03:01:01-B*44:02:01-C*16:04:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 95  A*24:02:01-B*44:02:01-C*16:04:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 96  A*25:01:01-B*44:03:01-C*16:01:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 97  A*66:01:01-B*44:03:01-C*16:01:01-DRB1*04:02:01-DQB1*03:03:02  Poland BMR 0.002123,595
 98  A*68:01:01-B*44:03:01-C*16:01:01-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.002123,595
 99  A*11:01:01-B*44:03:01-C*16:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.001723,595
 100  A*11:01:01-B*44:03:01-C*16:02:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.001323,595

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.
Liverpool, U.K.

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