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 76 (from 76) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*14:02-DRB1*07-DQB1*02  Mexico Jalisco, Tonala 2.857135
 2  A*02-B*14:02-DRB1*07-DQB1*02  Mexico Veracruz, Orizaba 2.500060
 3  A*33-B*14:02-DRB1*07-DQB1*02  Mexico Jalisco, Tlajomulco 1.666730
 4  A*30:02:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 5  A*33-B*14:02-DRB1*07-DQB1*02  Ecuador Amazonia Mixed Ancestry 1.282139
 6  A*02-B*14:02-DRB1*07-DQB1*02  Mexico Hidalgo, Pachuca 1.219541
 7  A*02-B*14:02-DRB1*07-DQB1*02  Mexico Colima Rural 1.136443
 8  A*03-B*14:02-DRB1*07-DQB1*02  Mexico Campeche Rural 1.063847
 9  A*74:01-B*14:02-C*08:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 10  A*26-B*14:02-DRB1*07-DQB1*02  Mexico Nayarit Rural 0.781264
 11  A*33-B*14:02-DRB1*07-DQB1*02  Mexico Guanajuato, Leon 0.641078
 12  A*23:17:01-B*14:02:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 13  A*29-B*14:02-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.5128192
 14  A*33-B*14:02-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.5128192
 15  A*33-B*14:02-DRB1*07-DQB1*02  Mexico Sonora, Hermosillo 0.505199
 16  A*32-B*14:02-DRB1*07-DQB1*02  Mexico Zacatecas, Fresnillo 0.4762103
 17  A*03:01-B*14:02-C*07:01-DRB1*07:01-DQB1*02:02-DPB1*04:01  Panama 0.3800462
 18  A*33-B*14:02-DRB1*07-DQB1*02  Mexico Tabasco Rural 0.3521142
 19  A*33-B*14:02-DRB1*07-DQB1*02  Mexico Sonora, Ciudad Obregón 0.3497143
 20  A*68-B*14:02-DRB1*07-DQB1*02  Mexico Jalisco, Zapopan 0.2976168
 21  A*31-B*14:02-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.2564192
 22  A*33-B*14:02-DRB1*07-DQB1*02  Mexico Sonora Rural 0.2538197
 23  A*02:01-B*14:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*04:01  Nicaragua Managua 0.2165339
 24  A*30-B*14:02-DRB1*07-DQB1*02  Ecuador Coast Mixed Ancestry 0.2101238
 25  A*68-B*14:02-DRB1*07-DQB1*02  Ecuador Coast Mixed Ancestry 0.2101238
 26  A*03:01-B*14:02:01-C*08:02-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 27  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 28  A*01-B*14:02-DRB1*07-DQB1*02  Mexico Zacatecas Rural 0.1859266
 29  A*23:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.17402,411
 30  A*26:01-B*14:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 31  A*68-B*14:02-DRB1*07-DQB1*02  Mexico Michoacan Rural 0.1433348
 32  A*29:02-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.13102,411
 33  A*33-B*14:02-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.10021,994
 34  A*30-B*14:02-DRB1*07-DQB1*02  Mexico Veracruz Rural 0.0924539
 35  A*33-B*14:02-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.08381,189
 36  A*30:02-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.07902,411
 37  A*33:01-B*14:02-C*08:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 38  A*24:02-B*14:02-C*08:02-DRB1*07:11-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 39  A*03:01:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06621,510
 40  A*33-B*14:02-DRB1*07-DQB1*02  Mexico Puebla Rural 0.0600833
 41  A*03:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 42  A*74:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 43  A*30:02-B*14:02-C*18:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 44  A*33:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 45  A*74:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 46  A*01:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 47  A*30-B*14:02-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 48  A*33-B*14:02-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 49  A*68-B*14:02-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 50  A*01-B*14:02-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 51  A*26-B*14:02-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 52  A*74-B*14:02-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 53  A*33:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03561,463
 54  A*02:05-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 55  A*68:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 56  A*24:02-B*14:02-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 57  A*33:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 58  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 59  A*24:02:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 60  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.028023,595
 61  A*33:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02804,856
 62  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.027023,595
 63  A*32-B*14:02-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.02511,994
 64  A*29:02:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.010423,595
 65  A*01:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 66  A*02:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 67  A*02:02-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 68  A*29:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 69  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.007323,595
 70  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006323,595
 71  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.005123,595
 72  A*11:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 73  A*66:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 74  A*33:05-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 75  A*68:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 76  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001323,595

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).




   

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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