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 112) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*50:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  Morocco Atlantic Coast Chaouya 2.100098
 2  A*23-B*50-C*06:02-DRB1*03-DQB1*02  Russia North Ossetian 1.9700127
 3  A*03-B*50-C*06:02-DRB1*03-DQB1*02  Russia North Ossetian 1.1800127
 4  A*02:05-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.51975,849
 5  B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo pop 2 0.4300234
 6  A*02-B*50-C*06:02-DRB1*03-DQB1*02  Russia North Ossetian 0.3900127
 7  A*11:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 8  B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 9  A*02:05-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.31794,204
 10  A*02:05-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.26745,829
 11  A*68:01:02:01-B*50:01:01-C*06:02:01:02-DRB1*03:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 12  A*01:01:01-B*50:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 13  A*02:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.20511,463
 14  A*02:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.20504,335
 15  A*02:01-B*50:01-C*06:02-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 16  A*23:01-B*50:01-C*06:02-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 17  A*33:03-B*50:01-C*06:02-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 18  A*23:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.19904,856
 19  A*02:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.14104,856
 20  A*11:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 21  A*24:02-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 22  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.13365,849
 23  A*02:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.12901,159
 24  A*02:05-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.12532,403
 25  A*68:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.12325,849
 26  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.12201,999
 27  A*01:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.10234,204
 28  A*01:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.09515,849
 29  A*23:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.09435,849
 30  A*02:05-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 31  A*01:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.07895,829
 32  A*02:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.07373,456,066
 33  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.07364,204
 34  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.07104,856
 35  A*01:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 36  A*23:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 37  A*03:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 38  A*01:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.06604,856
 39  A*02:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.06501,999
 40  A*02:05-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.06172,492
 41  A*23:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.06005,829
 42  A*02:06:01-B*50:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.05771,734
 43  A*31:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.05651,075
 44  A*11:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.05122,492
 45  A*23:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.04834,204
 46  A*31:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 47  A*24:02-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.04505,849
 48  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.044423,595
 49  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.044323,595
 50  A*24:02-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 51  A*02:05-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 52  A*33:03-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.04234,204
 53  A*03:02-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03804,856
 54  A*11:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.03705,849
 55  A*32:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 56  A*02:05-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 57  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 58  A*30:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 59  A*30:01:01-B*50:01:01-C*06:02:01:02-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 60  A*68:01:02:02-B*50:01:01-C*06:02:01:02-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 61  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.031011,446
 62  A*24:02-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.02805,829
 63  A*68:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.02625,829
 64  A*02:05-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02604,856
 65  A*02:08-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.02595,849
 66  A*02:06-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.02585,849
 67  A*68:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.02364,204
 68  A*02:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.02324,204
 69  A*02:05-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.022211,446
 70  A*26:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.02175,849
 71  A*33:03-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.02155,849
 72  A*23:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.02133,456,066
 73  A*02:11-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.02082,403
 74  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.02082,403
 75  A*31:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.02082,403
 76  A*68:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.02082,403
 77  A*68:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02004,856
 78  A*24:02-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.016111,446
 79  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.01575,829
 80  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.015323,595
 81  A*11:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01504,856
 82  A*24:02-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01364,204
 83  A*23:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.013111,446
 84  A*23:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01283,456,066
 85  A*02:08-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01194,204
 86  A*03:02-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01194,204
 87  A*30:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.01195,849
 88  A*32:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01194,204
 89  A*02:06-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.01185,829
 90  A*01:01:01-B*50:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.011123,595
 91  A*02:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.01113,456,066
 92  A*33:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 93  A*66:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 94  A*01:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.009511,446
 95  A*02:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.009111,446
 96  A*02:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 97  A*03:02-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.00865,849
 98  A*31:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 99  A*31:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.00855,849
 100  A*31:01:02-B*50:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.007823,595

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 112) 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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