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 93 (from 93) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*32-B*41-DRB1*03:01-DQB1*02  Mexico Quintana Roo, Cancun 5.208348
 2  A*01-B*41-DRB1*03:01-DQB1*02  Mexico Campeche, Campeche city 2.941234
 3  A*32-B*41-DRB1*03:01-DQB1*02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 4  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Tixcacaltuyub Maya 0.746367
 5  A*32-B*41-DRB1*03:01-DQB1*02  Mexico Baja California, La Paz 0.666775
 6  A*11-B*41-DRB1*03:01-DQB1*02  Mexico Durango, Durango city 0.6452153
 7  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Barra Mansa Rio State Caucasian 0.6250405
 8  A*01-B*41-DRB1*03:01-DQB1*02  Mexico Jalisco, Zapopan 0.5952168
 9  A*01-B*41-DRB1*03:01-DQB1*02  Mexico Aguascalientes state 0.526395
 10  A*01:01-B*41:01-DRB1*03:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 11  A*30:01-B*41:01-DRB1*03:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 12  A*30:04-B*41:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 13  A*66:01-B*41:02-C*17:03-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 14  A*66:01-B*41:02-C*17:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 15  B*41:02-C*17:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 16  A*24:02-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.3195336
 17  A*68:02-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*15:01  Tanzania Maasai 0.3195336
 18  A*01-B*41-DRB1*03:01-DQB1*02  Mexico Guanajuato Rural 0.3067162
 19  A*34-B*41-DRB1*03:01-DQB1*02  Mexico Guanajuato Rural 0.3067162
 20  A*66-B*41-DRB1*03:01-DQB1*02  Mexico Durango Rural 0.3058326
 21  A*11:01-B*41:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*03:01  South Africa Worcester 0.3000159
 22  A*01:01:01:01-B*41:01:01-C*07:01:02-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 23  A*32:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 24  A*01-B*41-DRB1*03:01-DQB1*02  Mexico Coahuila, Torreon 0.2500396
 25  A*02-B*41-DRB1*03:01-DQB1*02  Mexico Tlaxcala Rural 0.2410830
 26  A*25-B*41-DRB1*03:01-DQB1*02  Mexico Coahuila Rural 0.2294216
 27  A*02-B*41-DRB1*03:01-DQB1*02  Mexico Nuevo Leon, Monterrey city 0.2212226
 28  A*03:01-B*41:01-C*15:05-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.1597336
 29  A*33:03-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Tanzania Maasai 0.1597336
 30  A*30-B*41-DRB1*03:01-DQB1*02  Mexico Durango Rural 0.1529326
 31  A*01:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 32  A*02:05-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 33  A*23:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 34  A*30:04-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 35  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 36  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.13104,856
 37  A*02:01-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.12304,856
 38  A*24-B*41-DRB1*03:01-DQB1*02  Ecuador Andes Mixed Ancestry 0.1214824
 39  A*32-B*41-DRB1*03:01-DQB1*02  Mexico Tlaxcala Rural 0.1205830
 40  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 41  A*01-B*41-DRB1*03:01-DQB1*02  Mexico Veracruz Rural 0.0924539
 42  A*02:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 43  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 44  A*24-B*41-DRB1*03:01-DQB1*02  Ecuador Mixed Ancestry 0.08531,173
 45  A*68-B*41-DRB1*03:01-DQB1*02  Mexico Jalisco Rural 0.0853585
 46  A*01-B*41-DRB1*03:01-DQB1*02  Mexico Jalisco, Guadalajara city 0.08381,189
 47  A*02:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.08104,856
 48  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.077723,595
 49  A*01:01-B*41:02-C*17:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 50  A*02:01-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 51  A*02:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 52  A*01-B*41-DRB1*03:01-DQB1*02  Mexico Mexico City North 0.0664751
 53  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 54  A*01-B*41-DRB1*03:01-DQB1*02  Ecuador Andes Mixed Ancestry 0.0607824
 55  A*02-B*41-DRB1*03:01-DQB1*02  Ecuador Andes Mixed Ancestry 0.0607824
 56  A*01-B*41-DRB1*03:01-DQB1*02  Mexico Puebla Rural 0.0600833
 57  A*11:01-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.05651,075
 58  A*02:01-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*23:01  Russia Karelia 0.05651,075
 59  A*02:05-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 60  A*01:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.05204,856
 61  A*02:05-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.05104,856
 62  A*30:01-B*41:02-C*17:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 63  A*74:01-B*41:02-C*17:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 64  A*01-B*41-DRB1*03:01-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 65  A*02-B*41-DRB1*03:01-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 66  A*23:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 67  A*01:01-B*41:02-C*17:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 68  A*02:05-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 69  A*25:01:01-B*41:01:01-C*07:01:02-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 70  A*26:01:01-B*41:02:01-C*17:03-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 71  A*30:04:01-B*41:01:01-C*16:02:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 72  A*32:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 73  A*02:01-B*41:02-C*17:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03104,856
 74  A*30:04-B*41:01-C*16:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02804,856
 75  A*02-B*41-DRB1*03:01-DQB1*02  Mexico Puebla, Puebla city 0.02511,994
 76  A*11-B*41-DRB1*03:01-DQB1*02  Mexico Puebla, Puebla city 0.02511,994
 77  A*32-B*41-DRB1*03:01-DQB1*02  Mexico Puebla, Puebla city 0.02511,994
 78  A*30:04:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.023423,595
 79  A*32:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.023223,595
 80  A*24:02-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 81  A*24:02-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01404,856
 82  A*03:02-B*41:02-C*17:03-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01194,204
 83  A*03:01:01-B*41:01:01-C*07:01:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.010623,595
 84  A*23:01-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 85  A*26:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 86  A*02:05:01-B*41:01:01-C*07:01:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.006423,595
 87  A*66:01:01-B*41:02:01-C*17:03-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.005423,595
 88  A*02:01:01-B*41:02:01-C*17:03-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.003323,595
 89  A*25:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002823,595
 90  A*03:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002323,595
 91  A*01:01:01-B*41:01:01-C*07:01:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 92  A*02:05:01-B*41:01:01-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 93  A*02:01:01-B*41:02:01-C*17:03-DRB1*03:01:01-DQB1*02:02:01  Poland BMR 0.002123,595

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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