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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 578) records   Pages: 1 2 3 4 5 6 of 6  

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*68-B*51-DRB1*03:02-DQB1*04:02  Colombia San Basilio de Palenque 2.381042
 3  A*02-B*51-DRB1*03:01-DQB1*02  Mexico Queretaro Rural 2.325643
 4  A*33-B*51-DRB1*03  Pakistan Baloch 2.200066
 5  A*02-B*51-DRB1*03  Pakistan Mixed Pathan 2.0000100
 6  A*11-B*51-DRB1*03  Pakistan Mixed Sindhi 2.0000101
 7  A*24-B*51-DRB1*03:02-DQB1*04  Mexico Baja California Rural 2.000050
 8  A*26-B*51-DRB1*03:01-DQB1*02  Mexico Baja California Rural 2.000050
 9  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
 10  A*02-B*51-DRB1*03:01-DQB1*02:01  Tunisia pop 3 1.8000104
 11  A*01-B*51-DRB1*03:01-DQB1*02  Mexico Veracruz, Orizaba 1.666760
 12  A*01:01-B*51:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 13  A*02:01-B*51:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 14  A*02-B*51-DRB1*03  Iraq Erbil 1.4000372
 15  A*31:01-B*51:01-C*16:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 1.3333150
 16  A*34-B*51-DRB1*03:02-DQB1*04  Mexico Baja California, La Paz 1.333375
 17  A*02:05-B*51:01-C*16:01-DRB1*03:01-DQB1*02:01-DPB1*13:01  Tanzania Maasai 1.1182336
 18  A*03:01:01-B*51:01:01-DRB1*03:01:01  Portugal North 1.100046
 19  A*33:03-B*51:01:01-C*15:02:01-DRB1*03:01  Iran Baloch 1.1000100
 20  A*02:01-B*51:46-C*15:02-DRB1*03:02-DQB1*03:02  Colombia North Chimila Amerindians 1.063847
 21  A*02:46-B*51:10-C*15:02-DRB1*03:02-DQB1*03:02  Colombia North Chimila Amerindians 1.063847
 22  A*02-B*51-C*02-DRB1*03-DQB1*02  Sudan Khartoum 1.020098
 23  A*02-B*51-C*02-DRB1*03-DQB1*06  Sudan Khartoum 1.020098
 24  A*11:01:01-B*51:01:01-DRB1*03:01:01  Portugal South 1.000049
 25  A*68:01:02-B*51:01:01-DRB1*03:01:01  Portugal South 1.000049
 26  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
 27  A*30:02-B*51:01-DRB1*03:01  Israel Druze 0.92205,914
 28  A*02-B*51-C*15-DRB1*03  Iran pop 4 0.9000855
 29  A*02:01-B*51:08-DRB1*03:01-DQB1*06:02  Iran Yazd 0.892956
 30  A*02:50-B*51:01-DRB1*03:01-DQB1*05:01  Iran Saqqez-Baneh Kurds 0.833360
 31  A*02-B*51-DRB1*03:01-DQB1*02:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 32  A*32:01-B*51:01-C*16:02-DRB1*03:01-DQB1*05:02  Iran Gorgan 0.780064
 33  A*30-B*51-DRB1*03-DQB1*03  Iraq Arabs 0.6700149
 34  A*02-B*51-DRB1*03:01-DQB1*02  Mexico Baja California, La Paz 0.666775
 35  A*24-B*51-DRB1*03:02-DQB1*04  Mexico Baja California, La Paz 0.666775
 36  A*01-B*51-C*01-DRB1*03  Macedonia MBMDR - Macedonian Muslims 0.657976
 37  A*24-B*51-DRB1*03:01-DQB1*02  Mexico Guanajuato, Leon 0.641078
 38  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*03:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Rio de Janeiro Parda 0.5882170
 39  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
 40  A*30-B*51-DRB1*03:02  Colombia Barranquilla 0.5300188
 41  A*66-B*51-DRB1*03:02-DQB1*04  Mexico Aguascalientes state 0.526395
 42  B*51-DRB1*03  Macedonia 0.5245286
 43  A*02:01-B*51:08-DRB1*03:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 44  A*02-B*51-C*06-DRB1*03-DQB1*02  Sudan Khartoum 0.510098
 45  A*02-B*51-C*17-DRB1*03-DQB1*02  Sudan Khartoum 0.510098
 46  A*02-B*51-DRB1*03:01-DQB1*02  Mexico Baja Californa, Mexicali 0.5000100
 47  A*24-B*51-DRB1*03:02-DQB1*04  Mexico Baja Californa, Mexicali 0.5000100
 48  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
 49  A*24:02:01-B*51:01:01-C*07:01:01-DRB1*03:01  Costa Rica African -Caribbean (G) 0.4902102
 50  B*51:01-DRB1*03:01  Italy pop 5 0.4700975
 51  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
 52  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
 53  A*03-B*51-C*03-DRB1*03  Iran pop 4 0.4000855
 54  A*02-B*51-C*01-DRB1*03  Macedonia MBMDR - Albanian 0.3906128
 55  A*01:01-B*51:08-DRB1*03:01  Israel Arab pop 2 0.341012,301
 56  A*68-B*51-DRB1*03:01-DQB1*02  Mexico Michoacan, Morelia 0.3311150
 57  A*32-B*51-DRB1*03:01-DQB1*02  Mexico Mexico City Metropolitan Area Rural 0.3289150
 58  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
 59  A*03:01:01-B*51:01:01-C*07:01:01-DRB1*03:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 60  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
 61  A*02-B*51-DRB1*03:01-DQB1*02  Mexico Mexico City Center 0.3247152
 62  A*02-B*51-DRB1*03  India sub-Himalayan West Bengal Kami 0.3200158
 63  A*02:05-B*51:01-C*16:01-DRB1*03:01-DQB1*02:01-DPB1*107:01  Tanzania Maasai 0.3195336
 64  A*02:05-B*51:01-C*16:01-DRB1*03:01-DQB1*02:01-DPB1*463:01  Tanzania Maasai 0.3195336
 65  A*02-B*51-DRB1*03:01-DQB1*02  Mexico Sinaloa Rural 0.2732183
 66  A*02:11:01-B*51:01:01-C*15:02:01-DRB1*03:01:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 67  A*30:02:01:01-B*51:01:01-C*15:02:01:01-DRB1*03:01:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 68  A*01:01-B*51:01-C*14:02-DRB1*03:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Diego 0.2600496
 69  A*26:01-B*51:01-C*03:02-DRB1*03:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 70  A*02-B*51-DRB1*03:01-DQB1*02  Mexico Sonora Rural 0.2538197
 71  A*02-B*51-DRB1*03:01-DQB1*02  Mexico Coahuila Rural 0.2294216
 72  A*02-B*51-DRB1*03:01-DQB1*02  Mexico Nuevo Leon Rural 0.2273439
 73  A*03-B*51-DRB1*03  Iran pop 4 0.2101855
 74  A*02-B*51-DRB1*03:01-DQB1*02  Mexico Chihuahua Rural 0.2092236
 75  A*02:01-B*51:01-C*14:02-DRB1*03:01  Italy pop 5 0.2000975
 76  A*03:01-B*51:01-C*15:02-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 77  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
 78  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
 79  A*02-B*51-DRB1*03:01-DQB1*02  Mexico Zacatecas Rural 0.1859266
 80  A*66-B*51-DRB1*03:02-DQB1*04  Mexico Zacatecas Rural 0.1859266
 81  A*33:03-B*51:06-C*15:02-DRB1*03:11-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 82  A*68:01-B*51:01-C*08:01-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 83  A*02:01-B*51:01-C*16:01-DRB1*03:01  Germany DKMS - Spain minority 0.18101,107
 84  A*01-B*51-C*01-DRB1*03  Macedonia 0.1748286
 85  A*01-B*51-DRB1*03  Macedonia 0.1748286
 86  A*02-B*51-C*14-DRB1*03  Macedonia 0.1748286
 87  A*02-B*51-DRB1*03  Macedonia 0.1748286
 88  A*68-B*51-C*15-DRB1*03  Macedonia 0.1748286
 89  A*68-B*51-DRB1*03  Macedonia 0.1748286
 90  A*02-B*51-DRB1*03  Brazil South East Cord Blood 0.174011,409
 91  A*02:01-B*51:01-DRB1*03:01  Israel Arab pop 2 0.164012,301
 92  A*01:01-B*51:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 93  A*68:01-B*51:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 94  A*68-B*51-DRB1*03:02-DQB1*04  Mexico Michoacan Rural 0.1433348
 95  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
 96  A*02:01-B*51:01-C*14:02-DRB1*03:01-DQB1*04:02  Italy pop 5 0.1400975
 97  A*11:01-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 98  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
 99  A*31:01-B*51:01-C*04:01-DRB1*03:01-DQB1*03:02  Italy pop 5 0.1400975
 100  A*68-B*51-C*15-DRB1*03  Macedonia MBMDR - Macedonian 0.13431,283

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 578) records   Pages: 1 2 3 4 5 6 of 6  


   

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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