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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 617) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*44:03-DRB1*13:02-DQB1*06:04  South Korea pop 3 4.6000485
 2  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  South Korea pop 3 4.2000485
 3  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Japanese 3.926724,582
 4  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*04:01  Japan Central 3.6000371
 5  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Korean 3.491577,584
 6  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 3.13003,078
 7  A*29-B*44-DRB1*13:01-DQB1*06:03  Spain Pas Valley 2.700088
 8  A*03-B*44-DRB1*13-DQB1*06  Mexico Baja California, Tijuana 2.000025
 9  A*02-B*44-DRB1*13-DQA1*01:03-DQB1*06:03  Georgia Svaneti Region Svan 1.900080
 10  A*11-B*44-DRB1*13-DQB1*06  Mexico Jalisco, Tlajomulco 1.666730
 11  A*01:01:01-B*44:02:01-C*07:18:01-DRB1*13:03:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 12  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 13  A*02-B*44-DRB1*13-DQB1*06  Mexico Coahuila, Saltillo 1.369972
 14  A*02-B*44-DRB1*13-DQA1*01:03-DQB1*06:02  Georgia Svaneti Region Svan 1.300080
 15  A*26-B*44-DRB1*13-DQB1*06  Mexico Jalisco, Tlaquepaque 1.282139
 16  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*02:01  Japan Central 1.2000371
 17  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 1.1312221
 18  A*24:02-B*44:03-C*07:06-DRB1*13:01-DQA1*01:03-DQB1*06:03  United Arab Emirates Abu Dhabi 0.960052
 19  A*02-B*44-C*05-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.92731,743
 20  A*26-B*44-DRB1*13-DQB1*06  Mexico Veracruz, Cordoba 0.892956
 21  A*02:01-B*44:02-C*05:01-E*01:03:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.8772130
 22  A*29-B*44-DRB1*13-DQB1*06  Mexico Veracruz, Orizaba 0.833360
 23  A*02:01-B*44:02-C*05:01-DRB1*13:01:01-DQB1*06:03:01  England North West 0.8000298
 24  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.7930174
 25  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.7782521
 26  A*80:01-B*44:03-DRB1*13:02-DQB1*06:09  Chile Mapuche 0.770066
 27  A*34:02:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.7040142
 28  A*03-B*44-DRB1*13-DQB1*06  Mexico Coahuila, Saltillo 0.684972
 29  A*32-B*44-C*05-DRB1*13-DQB1*06  Albania pop 2 0.6800432
 30  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.66701,772
 31  A*11-B*44-DRB1*13-DQB1*06  Mexico Baja California, La Paz 0.666775
 32  A*02-B*44-DRB1*13-DQB1*06  Mexico Nuevo Leon, Monterrey city 0.6637226
 33  A*02-B*44-DRB1*13-DQB1*06  Mexico Guanajuato, Leon 0.641078
 34  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 35  A*02-B*44-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.6250396
 36  A*02-B*44-DRB1*13-DQB1*06  Mexico Mexico City East 0.625079
 37  A*02-B*44-DRB1*13-DQB1*06  Mexico Hidalgo Rural 0.617381
 38  A*29-B*44-DRB1*13-DQB1*06  Mexico Hidalgo Rural 0.617381
 39  A*29-B*44-DRB1*13-DQB1*06  Mexico Durango Rural 0.6116326
 40  A*02-B*44-DRB1*13-DQB1*06  Mexico Morelos, Cuernavaca 0.609882
 41  A*26-B*44-DRB1*13-DQB1*06  Mexico Tabasco, Villahermosa 0.609882
 42  A*03:01-B*44:02-C*05:01-DRB1*13:01-DRB3*01:01-DQB1*06:03  USA NMDP Korean 0.607177,584
 43  A*34:02-B*44:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  South Africa Worcester 0.6000159
 44  A*02-B*44-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.5952168
 45  A*02:01:01-B*44:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 46  A*02-B*44-DRB1*13-DQB1*06  Mexico Veracruz, Veracruz city 0.5814171
 47  A*29-B*44-DRB1*13-DQB1*06  Mexico Veracruz, Veracruz city 0.5814171
 48  A*33:03:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.57671,734
 49  A*02-B*44-DRB1*13-DQB1*06  Mexico San Luis Potosi Rural 0.574787
 50  A*01:01-B*44:02-DRB1*13:01-DQB1*06:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 51  A*11:04-B*44:02-DRB1*13:01-DQB1*06:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 52  A*68:02-B*44:02-DRB1*13:10-DQB1*06:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 53  A*03-B*44-DRB1*13-DQB1*06  Mexico Sinaloa Rural 0.5464183
 54  A*26-B*44-DRB1*13-DQB1*06  Mexico Sinaloa Rural 0.5464183
 55  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.5210496
 56  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*05:01  USA San Diego 0.5210496
 57  A*02-B*44-DRB1*13-DQB1*06  Mexico Nayarit, Tepic 0.515597
 58  A*03:02-B*44:02-DRB1*13:01-DQB1*06:03  Iran Tabriz Azeris 0.515597
 59  A*31-B*44-DRB1*13-DQB1*06  Mexico Nayarit, Tepic 0.515597
 60  A*33-B*44-C*04-DRB1*13-DQB1*06  Sudan Khartoum 0.510098
 61  A*02-B*44-DRB1*13-DQB1*06  Mexico Sonora, Hermosillo 0.505199
 62  A*11-B*44-DRB1*13-DQB1*06  Mexico Sonora, Hermosillo 0.505199
 63  A*24-B*44-DRB1*13-DQB1*06  Mexico Sonora, Hermosillo 0.505199
 64  A*02-B*44-DRB1*13-DQB1*06  Mexico Baja Californa, Mexicali 0.5000100
 65  A*29-B*44-DRB1*13-DQB1*06  Mexico Baja Californa, Mexicali 0.5000100
 66  A*68:02-B*44:15-C*07:01-DRB1*13:01-DQA1*01:03-DQB1*06:02-DPB1*18:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 67  A*23:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 68  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 69  A*03-B*44-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.4680641
 70  A*02-B*44-DRB1*13-DQB1*06  Mexico Chihuahua, Ciudad Juarez 0.4630106
 71  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.46003,078
 72  A*02-B*44-DRB1*13-DQB1*06  Mexico Coahuila Rural 0.4587216
 73  A*32-B*44-DRB1*13-DQB1*06  Mexico Coahuila Rural 0.4587216
 74  A*30:01:01-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 75  A*02:01-B*44:02-C*05:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 76  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.43101,159
 77  A*24:02:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQA1*05:05:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 78  A*29-B*44-DRB1*13-DQB1*06  Mexico Chihuahua Chihuahua City 0.4202119
 79  A*68:01:02-B*44:02:01-C*03:04:01-DRB1*13:01-DQA1*05:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 80  A*23-B*44-DRB1*13-DQB1*06  Mexico Chihuahua Rural 0.4184236
 81  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 82  A*23:01-B*44:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 83  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.401023,595
 84  A*24-B*44-DRB1*13-DQB1*06  Mexico Tamaulipas Rural 0.3968125
 85  A*29-B*44-DRB1*13-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 86  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  Japan pop 17 0.39003,078
 87  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 88  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.37301,999
 89  A*11-B*44-DRB1*13-DQB1*06  Mexico Zacatecas Rural 0.3717266
 90  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA NMDP Alaska Native or Aleut 0.36831,376
 91  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*05:01  Japan pop 17 0.36003,078
 92  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA NMDP American Indian South or Central America 0.35575,926
 93  A*30:04:01-B*44:03:01-C*02:10:01-DRB1*13:01:01-DQB1*06:02:01-DPB1*105:01:01  South African Black 0.3520142
 94  A*34:02:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*02:01:02  South African Black 0.3520142
 95  A*36:01-B*44:03:02-C*07:06:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*01:01:01  South African Black 0.3520142
 96  A*29-B*44-DRB1*13-DQB1*06  Mexico Guerrero state 0.3472144
 97  A*68-B*44-DRB1*13-DQB1*06  Mexico Guerrero state 0.3472144
 98  A*02-B*44-DRB1*13-DQB1*06  Mexico Nuevo Leon Rural 0.3409439
 99  A*24-B*44-C*04-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 100  A*26-B*44-C*05-DRB1*13-DQB1*06  Albania pop 2 0.3400432

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 617) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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