Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 175) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*33:03:01-B*51-C*14:02:01-DRB1*11:04:01-DQB1*03:01:01-DPB1*04:01:01  China Yunnan Province Lisu 1.7000111
 3  A*02-B*51-C*14:02-DRB1*11-DQB1*03  Russia North Ossetian 0.7800127
 4  A*24:02-B*51:06-C*14:02-DRB1*11:01-DQB1*03:01  Iran Gorgan 0.780064
 5  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 6  A*03:01-B*51:01-C*14:02-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 7  A*01-B*51-C*14:02-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 8  A*24-B*51-C*14:02-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 9  A*31-B*51-C*14:02-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 10  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 11  A*11:01:01-B*51:01:05-C*14:02:01-DRB1*11:08:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 12  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 13  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.24521,734
 14  A*32:01:01-B*51:01:01-C*14:02:01-DRB1*11:04:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 15  A*32:01:01-B*51:01:01-C*14:02:01-DRB1*11:04:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 16  A*02:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.22604,856
 17  A*03:01-B*51:01-C*14:02:01-DRB1*11:03-DQB1*03:02:01  England North West 0.2000298
 18  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 19  A*32:01-B*51:01-C*14:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 20  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 21  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 22  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.12204,856
 23  A*24:02-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.10201,159
 24  A*24:02-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.09804,856
 25  A*11:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 26  A*02:01-B*51:07-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.07804,856
 27  A*01:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.07104,856
 28  A*02:11-B*51:19-C*14:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 29  A*31:01-B*51:01-C*14:02-DRB1*11:01-DQA1*05:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 30  A*68:01-B*51:01-C*14:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 31  A*02:01:01-B*51:07:01-C*14:02:01-DRB1*11:04:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.0638221
 32  A*01:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  India Central UCBB 0.05954,204
 33  A*02:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.05901,159
 34  A*01:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.05832,492
 35  A*25:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01-DPB1*09:01  Russia Karelia 0.05651,075
 36  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05651,075
 37  A*31:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05641,075
 38  A*02:01-B*51:05-C*14:02-DRB1*11:04-DQB1*03:01-DPB1*02:01  Russia Karelia 0.05601,075
 39  A*68:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.05545,829
 40  A*33:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 41  A*74:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 42  A*01:01-B*51:07-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05104,856
 43  A*26:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.04804,856
 44  A*24:02-B*51:07-C*14:02-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 45  A*02:11-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.045911,446
 46  A*02:06-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 47  A*11:01-B*51:01-C*14:02-DRB1*11:06-DQB1*03:01  USA Asian pop 2 0.04401,772
 48  A*24:20-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 49  A*68:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04404,856
 50  A*01:01-B*51:07-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 51  A*31:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 52  A*68:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 53  A*03:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.03904,856
 54  A*11:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.03604,856
 55  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.03493,456,066
 56  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.03463,456,066
 57  A*32:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.03425,849
 58  A*02:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 59  A*03:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 60  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 61  A*02:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 62  A*02:01-B*51:07-C*14:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 63  A*24:02-B*51:07-C*14:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 64  A*25:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 65  A*26:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 66  A*31:01-B*51:01-C*14:02-DRB1*11:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 67  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:13  China Zhejiang Han 0.03341,734
 68  A*02:01:01:01-B*51:01:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 69  A*02:01:01:01-B*51:01:01-C*14:02:01-DRB1*11:04:01-DQB1*03:05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 70  A*32:01:01-B*51:07:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 71  A*03:02-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03304,856
 72  A*24:02-B*51:01-C*14:02-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 73  A*24:20-B*51:01-C*14:02-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 74  A*26:01-B*51:01-C*14:02-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 75  A*31:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02904,856
 76  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 77  A*24:02:01-B*51:01:01-C*14:02:07-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 78  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 79  A*31:01:02-B*51:07:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 80  A*74:02:01-B*51:01:02-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 81  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.027223,595
 82  A*11:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02504,856
 83  A*03:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.02425,849
 84  A*32:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.02384,204
 85  A*68:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.02384,204
 86  A*01:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02304,856
 87  A*29:02-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 88  A*31:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 89  A*32:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 90  A*33:03-B*51:01-C*14:02-DRB1*11:08-DQB1*03:01  India East UCBB 0.02082,403
 91  A*03:01-B*51:06-C*14:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 92  A*24:02-B*51:19-C*14:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 93  A*24:02-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.01972,403
 94  A*32:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01945,829
 95  A*02:01-B*51:06-C*14:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.01832,403
 96  A*11:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01784,204
 97  A*68:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  India North UCBB 0.01775,849
 98  A*33:03-B*51:06-C*14:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01725,829
 99  A*11:01-B*51:07-C*14:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01715,849
 100  A*31:01-B*51:01-C*14:02-DRB1*11:04-DQB1*03:01  India North UCBB 0.01715,849

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 175) 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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