Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 119) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01-B*51-DRB1*03:01-DQB1*02:01  Colombia San Basilio de Palenque 3.571042
 2  A*02:01-B*51:01-C*16:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 1.920052
 3  A*02-B*51-DRB1*03:01-DQB1*02:01  Tunisia pop 3 1.8000104
 4  A*01:01-B*51:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 5  A*02:01-B*51:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 6  A*31:01-B*51:01-C*16:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 1.3333150
 7  A*02:05-B*51:01-C*16:01-DRB1*03:01-DQB1*02:01-DPB1*13:01  Tanzania Maasai 1.1182336
 8  A*02:01-B*51:01-C*15:04-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 0.960052
 9  A*02-B*51-DRB1*03:01-DQB1*02:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 10  A*30:02:01-B*51:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Parda 0.5882170
 11  A*02:01-B*51:08-DRB1*03:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 12  A*31:04-B*51:01-C*16:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 13  A*02:01-B*51:01-C*04:01-E*01:03:01-F*01:01:02-G*01:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 14  A*33:03:01-B*51:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 15  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*03:01-DQA1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 16  A*24:02:01-B*51:01:01-C*04:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 17  A*02:05-B*51:01-C*16:01-DRB1*03:01-DQB1*02:01-DPB1*107:01  Tanzania Maasai 0.3195336
 18  A*02:05-B*51:01-C*16:01-DRB1*03:01-DQB1*02:01-DPB1*463:01  Tanzania Maasai 0.3195336
 19  A*03:01-B*51:01-C*15:02-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 20  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 21  A*33:01:01-B*51:01:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 22  A*68:01-B*51:01-C*08:01-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 23  A*01:01-B*51:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 24  A*68:01-B*51:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 25  A*11:01-B*51:01-C*14:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 26  A*11:01-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 27  A*24:02:01-B*51:01:01-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 28  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.121028,927
 29  A*02:01-B*51:01-C*14:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 30  A*02:01-B*51:01-C*16:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 31  A*02:01-B*51:01-C*14:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.08804,856
 32  A*01:01-B*51:01-C*16:02-DRB1*03:01-DQA1*02:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 33  A*01:01-B*51:19-C*14:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*16:01  Sri Lanka Colombo 0.0700714
 34  A*26:01-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.05904,856
 35  A*24:02-B*51:01-C*14:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 36  A*02:01-B*51:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.05104,856
 37  A*02:01-B*51:01-C*02:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 38  A*29:02-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 39  A*32:01-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 40  A*02:01-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04401,159
 41  A*11:01-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 42  A*31:01-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 43  A*32:01-B*51:07-C*14:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 44  A*33:01-B*51:01-C*15:04-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 45  A*68:01-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.04104,856
 46  A*02:11-B*51:01-C*16:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.03992,492
 47  A*68:01-B*51:01-C*14:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.03942,492
 48  A*02:01-B*51:01-C*16:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 49  A*11:01-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 50  A*68:01-B*51:01-C*16:02-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 51  A*03:01-B*51:01-C*14:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 52  A*11:01-B*51:01-C*14:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 53  A*24:02-B*51:01-C*14:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 54  A*24:02-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 55  A*29:02-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 56  A*68:01-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 57  A*24:02:01:01-B*51:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 58  A*02:01-B*51:08-C*16:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03304,856
 59  A*24:02-B*51:01-C*14:02-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.03204,204
 60  A*03:02-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.03104,204
 61  A*24:02-B*51:01-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 62  A*02:06:01-B*51:01:01-C*14:02:01-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.02881,734
 63  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.02881,734
 64  A*31:01-B*51:01-C*14:02-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.02784,204
 65  A*02:01-B*51:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02704,856
 66  A*32:01:01-B*51:01:01-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.023423,595
 67  A*24:02-B*51:01-C*05:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.02301,999
 68  A*03:01-B*51:01-C*14:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02032,492
 69  A*11:01-B*51:01-C*03:04-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 70  A*11:01-B*51:06-C*14:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 71  A*32:01-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 72  A*26:01-B*51:01-C*16:02-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01984,204
 73  A*11:01-B*51:01-C*14:02-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01944,204
 74  A*02:01-B*51:07-C*14:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01604,856
 75  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.015123,595
 76  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.014923,595
 77  A*31:01-B*51:01-C*16:02-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01294,204
 78  A*01:01-B*51:01-C*14:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01204,856
 79  A*02:05-B*51:01-C*01:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.01201,999
 80  A*03:01-B*51:01-C*01:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.01201,999
 81  A*68:01-B*51:01-C*07:02-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01204,204
 82  A*01:01-B*51:01-C*16:02-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01194,204
 83  A*03:01-B*51:01-C*16:01-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01194,204
 84  A*11:01-B*51:01-C*04:01-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01194,204
 85  A*32:01-B*51:01-C*15:04-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01194,204
 86  A*32:01-B*51:07-C*14:02-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01194,204
 87  A*33:03-B*51:01-C*07:06-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01194,204
 88  A*02:02-B*51:01-C*16:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.01102,411
 89  A*24:02-B*51:08-C*16:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01104,856
 90  A*24:33-B*51:06-C*12:04-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01104,204
 91  A*31:01-B*51:01-C*16:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.01102,411
 92  A*33:03-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01104,204
 93  A*01:01-B*51:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 94  A*01:01-B*51:01-C*16:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 95  A*02:06-B*51:01-C*16:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 96  A*02:11-B*51:01-C*14:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 97  A*03:02-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 98  A*24:03-B*51:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 99  A*31:01-B*51:01-C*12:03-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 100  A*33:03-B*51:01-C*16:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856

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 119) 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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