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 100 (from 175) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03-B*39-DRB1*13-DQB1*06  Mexico Baja California, Tijuana 2.000025
 2  B*39-C*07-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 3  A*68-B*39-DRB1*13-DQB1*06  Mexico Campeche Rural 1.063847
 4  A*02-B*39-DRB1*13-DQB1*06  Mexico Veracruz, Coatzacoalcos 0.892955
 5  A*24-B*39-DRB1*13-DQB1*06  Mexico Veracruz, Coatzacoalcos 0.892955
 6  A*33-B*39-DRB1*13-DQB1*06  Mexico Veracruz, Cordoba 0.892956
 7  A*24:02-B*39:01-C*12:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.8772130
 8  A*68-B*39-DRB1*13-DQB1*06  Mexico Nayarit Rural 0.781264
 9  A*02-B*39-C*07-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 10  A*68-B*39-C*07-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 11  A*68:01-B*39:01-DRB1*13:10-DQB1*06:03  Mexico Veracruz Xalapa 0.595284
 12  A*02-B*39-DRB1*13-DQB1*06  Mexico Sinaloa, Culiacán 0.4854103
 13  A*11:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.4210356
 14  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 15  A*32:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 16  A*02:01-B*39:01-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 0.4030124
 17  A*02-B*39-DRB1*13-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 18  A*03-B*39-C*12:03-DRB1*13-DQB1*06  Russia North Ossetian 0.3900127
 19  A*31-B*39-C*12:03-DRB1*13-DQB1*06  Russia North Ossetian 0.3900127
 20  A*02:05:01-B*39:10:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 21  A*02:05:01-B*39:10:01-C*18:02-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 22  A*24-B*39-DRB1*13-DQB1*06  Mexico Sonora, Ciudad Obregón 0.3497143
 23  A*11-B*39-C*07:02-DRB1*13:01-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 24  A*68-B*39-DRB1*13-DQB1*06  Mexico Mexico City Metropolitan Area Rural 0.3289150
 25  A*02-B*39-DRB1*13-DQB1*06  Mexico Durango, Durango city 0.3226153
 26  A*68:02-B*39:24-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*04:02  Tanzania Maasai 0.3195336
 27  A*02-B*39-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.2976168
 28  A*24-B*39-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.2976168
 29  A*30:01:01-B*39:01:01:03-C*07:02:01-DRB1*13:02:01-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 30  A*02:01-B*39:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 31  A*24-B*39-DRB1*13-DQB1*06  Mexico Yucatan, Merida 0.2564192
 32  A*01:01:01-B*39:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 33  A*02:01:01-B*39:08-C*07:02:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.2262221
 34  A*11:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.22082,492
 35  A*74:01-B*39:02-C*03:04-DRB1*13:04-DQA1*01:02-DQB1*06:02-DPB1*04:01  Nicaragua Managua 0.2165339
 36  A*03-B*39-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 37  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 38  A*02-B*39-DRB1*13-DQB1*06  Mexico Zacatecas Rural 0.1859266
 39  A*68:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.181414,339
 40  A*02:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.16101,159
 41  A*02-B*39-DRB1*13-DQB1*06  Mexico Durango Rural 0.1529326
 42  A*02:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.15251,510
 43  A*01:01-B*39:02-DRB1*13:02-DQB1*06:04  Mexico Mexico City Tlalpan 0.1515330
 44  A*24:02-B*39:01-DRB1*13:01-DQB1*06:03  Mexico Mexico City Tlalpan 0.1515330
 45  A*30:01-B*39:01-DRB1*13:01-DQB1*06:04  Mexico Mexico City Tlalpan 0.1515330
 46  A*31:01-B*39:06-DRB1*13:02-DQB1*06:03  Mexico Mexico City Tlalpan 0.1515330
 47  A*68:01-B*39:01-DRB1*13:03-DQB1*06:03  Mexico Mexico City Tlalpan 0.1515330
 48  A*29-B*39-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.1433348
 49  A*24:02:01-B*39:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 50  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 51  A*31-B*39-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 52  A*24-B*39-DRB1*13-DQB1*06  Mexico Tlaxcala Rural 0.1205830
 53  A*68-B*39-DRB1*13-DQB1*06  Mexico Tlaxcala Rural 0.1205830
 54  A*24-B*39-DRB1*13-DQB1*06  Mexico Nuevo Leon Rural 0.1136439
 55  A*31:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*13:01  Russia Karelia 0.11291,075
 56  A*24:02-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.10801,075
 57  A*11:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.10704,204
 58  A*24-B*39-DRB1*13-DQB1*06  Mexico Oaxaca Rural 0.1027485
 59  A*31-B*39-DRB1*13-DQB1*06  Mexico Oaxaca Rural 0.1027485
 60  A*32:01:01-B*39:24-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.099428,927
 61  A*11:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.09405,849
 62  A*30-B*39-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 63  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.070223,595
 64  A*24:02-B*39:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*10:01  Sri Lanka Colombo 0.0700714
 65  A*33:03-B*39:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 66  A*24:02-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 67  A*03:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.06741,510
 68  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.065923,595
 69  A*31-B*39-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 70  A*32:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.05621,075
 71  A*02:07-B*39:15-C*04:01-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 72  A*11:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.05155,829
 73  A*11:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.051111,446
 74  A*01-B*39-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.05011,994
 75  A*02:05-B*39:10-C*12:03-DRB1*13:01-DQB1*06:09  USA African American pop 4 0.04402,411
 76  A*03:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.04401,772
 77  A*30:02-B*39:10-C*12:03-DRB1*13:01-DQB1*06:09  USA African American pop 4 0.04402,411
 78  A*68:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 79  A*11:01-B*39:31-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 80  A*03-B*39-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 81  A*31-B*39-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 82  A*01-B*39-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.04061,743
 83  A*24-B*39-C*07-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.04004,510
 84  A*01:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.03435,829
 85  A*03:01-B*39:06-C*07:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 86  A*02:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 87  A*03:01-B*39:68-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 88  A*33:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 89  A*01:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 90  A*03:01:01:01-B*39:01:01:03-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 91  A*11:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 92  A*26:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 93  A*32:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 94  A*32:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 95  A*31-B*39-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 96  A*24-B*39-C*07-DRB1*13-DQB1*06-DPB1*06  Norway ethnic Norwegians 0.03004,510
 97  A*26:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.026923,595
 98  A*02-B*39-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.02511,994
 99  A*24-B*39-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.02511,994
 100  A*68-B*39-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.02511,994

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 175) records   Pages: 1 2 of 2  


   

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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