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 841) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24-B*07-DRB1*01  Brazil Parana Oriental 4.500033
 2  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Japan Central 4.0000371
 3  A*24:02-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 3.722018,604
 4  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 3.522324,582
 5  B*07:02-DRB1*01:01-DQB1*05:01  South Korea pop 3 3.2000485
 6  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 3.19003,078
 7  B*07:02-C*07:02-DRB1*01:01  South Korea pop 3 3.1000485
 8  A*24:02-B*07:02-DRB1*01:01  South Korea pop 3 3.0000485
 9  A*24-B*07-DRB1*01:03-DQB1*05  Mexico Mexico City West 2.941233
 10  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  South Korea pop 3 2.9000485
 11  A*24:02-B*07:02-DRB1*01:01  South Korea pop 10 2.73004,128
 12  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 2.257877,584
 13  A*31-B*07-DRB1*01:03-DQB1*05  Mexico Tamaulipas, Ciudad Victoria 2.173923
 14  A*02-B*07-DRB1*01:03-DQB1*05  Mexico Quintana Roo, Cancun 2.083348
 15  A*24-B*07-DRB1*01:01  South Korea pop 1 2.0000324
 16  A*03-B*07-DRB1*01  Russia South Ural Russian 1.9000207
 17  A*02:01-B*07:02-DRB1*01:01  Azores Central Islands 1.800059
 18  A*29:02-B*07:02-DRB1*01:03  Azores Central Islands 1.800059
 19  A*11:01:01-B*07:02:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Black 1.470668
 20  A*02-B*07-DRB1*01:03-DQB1*05  Mexico Baja California, La Paz 1.333375
 21  A*02:01-B*07:02-C*07:02-E*01:03:02-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 1.3158130
 22  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.3072153
 23  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Poland 1.3000200
 24  A*68-B*07-DRB1*01  Brazil Parana Afro Brazilian 1.300077
 25  A*03-B*07-DRB1*01-DQB1*05  Mexico Jalisco, Tlaquepaque 1.282139
 26  A*02-B*07-DRB1*01-DQB1*05  Mexico Zacatecas, Zacatecas city 1.190584
 27  A*24-B*07-DRB1*01-DQB1*05  Mexico Queretaro Rural 1.162843
 28  A*03-B*07-DRB1*01-DQB1*05  Mexico San Luis Potosi Rural 1.149487
 29  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01  South Africa Caucasians 1.1100102
 30  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:03  South Africa Caucasians 1.1100102
 31  A*24:02:01-B*07:02:01-DRB1*01:03  Portugal North 1.100046
 32  A*03-B*07-DRB1*01:03-DQB1*05  Mexico Campeche Rural 1.063847
 33  A*26-B*07-DRB1*01-DQB1*05  Mexico Sonora, Hermosillo 1.010199
 34  A*66:01-B*07:02-DRB1*01:02  Israel Ethiopia Jews 0.82705,928
 35  A*24-B*07-DRB1*01:01  USA NMDP Asian and Pacific Islander 0.8000359,423
 36  A*02-B*07-DRB1*01-DQB1*05  Guatemala, Guatemala City Mixed Ancestry 0.7900127
 37  A*02:01-B*07:02-DRB1*01:01-DQB1*05:01  Chile Mapuche 0.770066
 38  A*11-B*07-DRB1*01  China Shaanxi Province Han 0.700010,000
 39  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 40  A*02-B*07-DRB1*01:03-DQB1*05  Mexico Durango Rural 0.6116326
 41  A*02-B*07-DRB1*01  Germany pop 7 0.600013,386
 42  A*24:02-B*07:02-DRB1*01:03-DQB1*05:01  Mexico Veracruz Xalapa 0.595284
 43  A*02-B*07-DRB1*01-DQB1*05  Mexico Veracruz, Veracruz city 0.5814171
 44  A*02-B*07-C*07-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.54201,743
 45  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.54001,374
 46  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.53001,772
 47  A*02-B*07-DRB1*01:03-DQB1*05  Mexico Aguascalientes state 0.526395
 48  A*02-B*07-DRB1*01:03-DQB1*05  Mexico Sonora Rural 0.5076197
 49  A*02-B*07-DRB1*01-DQB1*05  Mexico Baja Californa, Mexicali 0.5000100
 50  A*24-B*07-DRB1*01-DQB1*05  Mexico Baja Californa, Mexicali 0.5000100
 51  A*02-B*07-DRB1*01-DQB1*05  Mexico Sinaloa, Culiacán 0.4854103
 52  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*01:03-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 53  A*03-B*07-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.4680641
 54  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.46003,078
 55  A*02:01:01-B*07:02:01-C*04:01:01-DRB1*01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 56  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 57  A*02-B*07-DRB1*01:03-DQB1*05  Mexico Nuevo Leon Rural 0.4545439
 58  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:03-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 59  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.4500356
 60  A*24-B*07-DRB1*01-DQB1*05  Mexico Nuevo Leon, Monterrey city 0.4425226
 61  A*25-B*07-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 62  A*33-B*07-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 63  B*07:02-DRB1*01:01  Italy pop 5 0.4400975
 64  A*02:01-B*07:02-C*07:02-E*01:03:02-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 65  A*02-B*07-DRB1*01:03  Chile Santiago 0.4348920
 66  A*02:01-B*07:02-C*07:02-DRB1*01:03-DQA1*01:01-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.4329339
 67  A*02:01:01-B*07:02:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Russian Federation Vologda Region 0.4202119
 68  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 69  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 70  A*66-B*07-DRB1*01-DQB1*05  Mexico Chihuahua Chihuahua City 0.4202119
 71  A*02-B*07-DRB1*01:03-DQB1*05  Mexico Chihuahua Rural 0.4184236
 72  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 73  A*03-B*07-DRB1*01  Russia Moscow Pop 2 0.41002,000
 74  A*29:02-B*07:02-C*02:02-DRB1*01:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 75  A*30:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:03  Kosovo 0.4030124
 76  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.3993221
 77  A*02:01-B*07:02-C*07:02-DRB1*01:03-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.37604,335
 78  A*02-B*07-DRB1*01-DQB1*05  Mexico Yucatan Rural 0.3731132
 79  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.37051,510
 80  A*03-B*07-DRB1*01  Italy Lombardy 0.3700674
 81  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - France minority 0.35901,406
 82  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:03  Nicaragua Mestizo (G) 0.3584155
 83  A*02-B*07-DRB1*01:03-DQB1*05  Mexico Tabasco Rural 0.3521142
 84  A*34:02:01-B*07:02:01-C*18:02-DRB1*01:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.3520142
 85  A*24-B*07-DRB1*01  Russia Moscow Pop 2 0.35002,000
 86  A*24:02-B*07:02-C*04:01-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 87  A*24-B*07-DRB1*01-DQB1*05  Mexico Sonora, Ciudad Obregón 0.3497143
 88  B*07:02-C*04:01-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 89  A*02-B*07-DRB1*01:03-DQB1*05  Mexico Guerrero state 0.3472144
 90  A*23:01-B*07:02-C*07:02-DRB1*01:02  Brazil Vale do Ribeira Quilombos 0.3472144
 91  A*31:01-B*07:02-C*17:01-DRB1*01:01  Brazil Vale do Ribeira Quilombos 0.3472144
 92  A*02:01-B*07:02-C*07:02-DRB1*01:03-DQB1*05:01  Colombia Bogotá Cord Blood 0.34181,463
 93  A*01-B*07-DRB1*01-DQB1*06  Iraq Arabs 0.3400149
 94  A*03-B*07-DRB1*01  Albania pop 2 0.3400432
 95  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Austria minority 0.33901,698
 96  A*02:01-B*07:02-C*08:02-DRB1*01:03-DQA1*01:01-DQB1*05:01  Brazil Puyanawa 0.3333150
 97  A*02-B*07-DRB1*01:03-DQB1*05  Mexico Michoacan, Morelia 0.3311150
 98  A*02-B*07-DRB1*01:03-DQB1*05  Mexico Oaxaca, Oaxaca city 0.3311151
 99  A*02-B*07-DRB1*01-DQB1*05  Mexico Michoacan, Morelia 0.3311150
 100  A*03-B*07-DRB1*01-DQB1*05  Mexico Michoacan, Morelia 0.3311150

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 841) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  


   

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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