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 206) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30-B*49-C*07:01-DRB1*13-DQB1*06  Russia North Ossetian 9.0200127
 2  A*01-B*49-DRB1*13-DQB1*06  Mexico Guanajuato, Guanajuato city 4.545522
 3  A*01-B*49:01-C*04-DRB1*13:02-DQB1*06:04  Rwanda 3.2000280
 4  A*01-B*49-DRB1*13-DQB1*06  Mexico Campeche, Campeche city 2.941234
 5  A*68-B*49:01-C*07-DRB1*13:02-DQB1*06:04  Rwanda 2.9000280
 6  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 7  A*74-B*49:01-C*07-DRB1*13:02-DQB1*06:04  Rwanda 2.0000280
 8  A*02-B*49-DRB1*13-DQB1*06  Mexico Baja California, La Paz 1.333375
 9  A*01-B*49-DRB1*13-DQB1*06  Mexico Tabasco, Villahermosa 1.219582
 10  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 1.2100124
 11  A*01-B*49-C*07:01-DRB1*13-DQB1*06  Russia North Ossetian 1.1800127
 12  A*02-B*49-DRB1*13-DQB1*06  Mexico Campeche Rural 1.063847
 13  A*24-B*49-DRB1*13-DQB1*06  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 14  A*02-B*49-DRB1*13-DQB1*06  Mexico Veracruz, Coatzacoalcos 0.892955
 15  A*02-B*49-C*07:01-DRB1*13-DQB1*06  Russia North Ossetian 0.8300127
 16  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.7987336
 17  A*01-B*49-DRB1*13-DQB1*06  Mexico Yucatan Rural 0.7463132
 18  A*03-B*49-DRB1*13-DQB1*06  Iraq Arabs 0.6700149
 19  B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo pop 2 0.6400234
 20  A*23:01-B*49:01-DRB1*13:02-DQB1*06:04  Mexico Veracruz Xalapa 0.595284
 21  A*02-B*49-DRB1*13:02-DQB1*06:04  Bolivia La Paz Aymaras 0.575087
 22  A*29-B*49-DRB1*13-DQB1*06  Mexico Aguascalientes state 0.526395
 23  A*01:01-B*49:01-DRB1*13:01-DQB1*06:03  Iran Tabriz Azeris 0.515597
 24  A*74:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.4792336
 25  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 26  A*30-B*49-DRB1*13-DQA1*01:02-DQB1*06:04  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 27  A*23-B*49-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.4202238
 28  A*01-B*49-C*06:02-DRB1*13-DQB1*06  Russia North Ossetian 0.3900127
 29  A*11:01:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 30  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Panama 0.3800462
 31  A*11-B*49-DRB1*13-DQB1*06  Mexico Yucatan Rural 0.3731132
 32  A*02-B*49-DRB1*13-DQB1*06  Mexico Tabasco Rural 0.3521142
 33  A*11:01-B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 34  B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 35  A*02-B*49-C*16-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 36  A*11-B*49-DRB1*13-DQB1*06  Mexico Durango, Durango city 0.3226153
 37  A*26-B*49-DRB1*13-DQB1*06  Mexico Durango, Durango city 0.3226153
 38  A*02:01:01-B*49:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 39  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 40  A*02:05:01-B*49:01:01-C*15:05:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:07-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 41  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 42  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 43  A*01-B*49-DRB1*13-DQB1*06  Mexico Guanajuato Rural 0.3067162
 44  A*01-B*49-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.2865348
 45  A*66-B*49-DRB1*13-DQB1*06  Mexico Sinaloa Rural 0.2732183
 46  A*24:02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Bashkortostan, Tatars 0.2604192
 47  A*26-B*49-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.2500396
 48  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.23921,463
 49  A*03-B*49-DRB1*13-DQB1*06  Mexico Coahuila Rural 0.2294216
 50  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:01-DPB1*10:01  Mexico Chiapas Lacandon Mayans 0.2294218
 51  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:06-DQB1*06:04-DPB1*13:01  Nicaragua Managua 0.2165339
 52  A*02-B*49-C*07-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.21301,743
 53  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.21072,492
 54  A*26-B*49-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 55  A*68-B*49-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 56  A*02:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 57  A*32:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 58  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 59  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:07-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 60  A*29:02:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 61  A*69:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Panama 0.1900462
 62  A*01-B*49-DRB1*13-DQB1*06  Mexico Zacatecas Rural 0.1859266
 63  A*23-B*49-DRB1*13-DQB1*06  Mexico Veracruz Rural 0.1848539
 64  A*23-B*49-C*07-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.18351,743
 65  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.17301,159
 66  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.168928,927
 67  A*02:05-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.1597336
 68  A*30:10-B*49:01-C*06:157-DRB1*13:02-DQB1*06:04-DPB1*04:02  Tanzania Maasai 0.1597336
 69  A*68:01-B*49:01-C*04:04-DRB1*13:02-DQB1*06:04-DPB1*105:01  Tanzania Maasai 0.1597336
 70  A*02-B*49-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.1560641
 71  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India UCBB_Central Indian HLA 0.15304,204
 72  A*66-B*49-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.1433348
 73  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*14:01  Sri Lanka Colombo 0.1401714
 74  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 75  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 76  A*68:01-B*49:01-C*03:04-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.13671,463
 77  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.12901,159
 78  A*01-B*49-C*07-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.12761,743
 79  A*01-B*49-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 80  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.12504,856
 81  A*02-B*49-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 82  A*02-B*49-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.1214824
 83  A*32-B*49-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.1214824
 84  A*68-B*49-DRB1*13-DQB1*06  Mexico Tlaxcala Rural 0.1205830
 85  A*24-B*49-DRB1*13-DQB1*06  Mexico Nuevo Leon Rural 0.1136439
 86  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 87  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 88  A*01-B*49-DRB1*13-DQB1*06  Mexico Oaxaca Rural 0.1027485
 89  A*01:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.10251,463
 90  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.09931,510
 91  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.09401,999
 92  A*31:01:02-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.093628,927
 93  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.08904,856
 94  A*02-B*49-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.08531,173
 95  A*23-B*49-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.08531,173
 96  A*23-B*49-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.0853585
 97  A*26-B*49-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.08531,173
 98  A*32-B*49-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.08531,173
 99  A*68-B*49-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.08531,173
 100  A*03-B*49-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.08381,189

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 206) records   Pages: 1 2 3 of 3  


   

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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