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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 240) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11-B*27-DRB1*15-DQB1*06  Mexico Guanajuato, Guanajuato city 4.545522
 2  A*30-B*27-DRB1*15-DQB1*06  Mexico Queretaro Rural 2.325643
 3  A*26-B*27-DRB1*15-DQB1*06  Mexico Sinaloa Mestizo 1.800056
 4  A*30-B*27-DRB1*15-DQB1*06  Mexico Mexico City West 1.470633
 5  A*30-B*27-DRB1*15-DQB1*06  Ecuador Amazonia Mixed Ancestry 1.282139
 6  A*26-B*27-DRB1*15-DQB1*06  Mexico Sinaloa Rural 0.8197183
 7  A*30-B*27-DRB1*15-DQB1*06  Mexico Baja California, La Paz 0.666775
 8  A*30:02-B*27:05-C*02:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Nicaragua Managua 0.6494339
 9  A*30-B*27-DRB1*15-DQB1*06  Mexico Mexico City East 0.625079
 10  A*26-B*27-DRB1*15-DQB1*06  Mexico Hidalgo Rural 0.617381
 11  A*30-B*27-DRB1*15-DQB1*06  Mexico Tabasco, Villahermosa 0.609882
 12  A*23:01-B*27:05-C*02:10-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*11:01  South Africa Worcester 0.6000159
 13  A*30-B*27-DRB1*15-DQB1*06  Mexico Jalisco Rural 0.5119585
 14  A*29-B*27-DRB1*15-DQB1*06  Mexico Sinaloa, Culiacán 0.4854103
 15  A*02-B*27-DRB1*15-DQB1*06  Mexico Tlaxcala Rural 0.4217830
 16  A*01:01:01-B*27:05:02-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 17  A*02:01:01-B*27:02:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 18  A*02:01:01-B*27:05:02-C*01:02:01-DRB1*15:01:01-DQA1*02:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 19  A*26:01-B*27:05:02-C*02:02:02:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.4167120
 20  A*24-B*27-C*02:02-DRB1*15-DQB1*06  Russia North Ossetian 0.3900127
 21  A*30-B*27-DRB1*15-DQB1*06  Mexico Zacatecas Rural 0.3717266
 22  A*01-B*27-DRB1*15-DQB1*06  Mexico Tabasco Rural 0.3521142
 23  A*30-B*27-DRB1*15-DQB1*06  Mexico Tabasco Rural 0.3521142
 24  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 25  A*23:01-B*27:05-C*02:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 26  A*30-B*27-DRB1*15-DQB1*06  Mexico Jalisco, Zapopan 0.2976168
 27  A*11-B*27-DRB1*15-DQB1*06  Mexico Veracruz, Veracruz city 0.2907171
 28  A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 29  A*24-B*27-DRB1*15-DQB1*06  Mexico Sonora Rural 0.2538197
 30  A*02-B*27-DRB1*15-DQB1*06  Mexico Puebla Rural 0.2398833
 31  A*03-B*27-DRB1*15-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 32  A*68-B*27-C*02-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.20004,510
 33  A*30:02-B*27:03-C*02:02-DRB1*15:01-DQB1*06:06-DPB1*04:01  Panama 0.1900462
 34  A*02:11-B*27:05-C*02:02-DRB1*15:02-DQB1*06:02  Malaysia Peninsular Indian 0.1845271
 35  A*24:02-B*27-DRB1*15:01-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 36  A*02:01-B*27:07-C*07:01-DRB1*15:02-DQB1*06:01  Italy pop 5 0.1400975
 37  A*30-B*27-DRB1*15-DQB1*06  Mexico Mexico City North 0.1328751
 38  A*02-B*27-C*02-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.13131,743
 39  A*31-B*27-C*01-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.12004,510
 40  A*11:01:01-B*27:04:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.11531,734
 41  A*03:01-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.11291,075
 42  A*30:02-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.10251,463
 43  A*30-B*27-DRB1*15-DQB1*06  Mexico Veracruz Rural 0.0924539
 44  A*31-B*27-DRB1*15-DQB1*06  Mexico Veracruz Rural 0.0924539
 45  A*03-B*27-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.0780641
 46  A*24-B*27-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.0780641
 47  A*26-B*27-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.0780641
 48  A*32-B*27-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.0780641
 49  A*33-B*27-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.0780641
 50  A*03:01-B*27:05-C*03:03-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 51  A*01:01-B*27:02-C*02:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 52  A*24:02-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 53  A*03:01:01:01-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06731,510
 54  A*02-B*27-DRB1*15-DQB1*06  Mexico Mexico City North 0.0664751
 55  A*30-B*27-DRB1*15-DQB1*06  Mexico Puebla Rural 0.0600833
 56  A*11:01-B*27:04-C*12:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 57  A*24:02-B*27:06-C*07:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 58  A*24:31-B*27:06-C*08:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 59  A*11-B*27-C*01-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.05051,743
 60  A*02-B*27-C*02-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.05004,510
 61  A*24:02-B*27:05-C*02:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.04764,204
 62  A*02:02-B*27:05-C*01:02-DRB1*15:03-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 63  A*02:01-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.04402,411
 64  A*24:02-B*27:05-C*07:04-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.04301,159
 65  A*03-B*27-DRB1*15-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 66  A*30-B*27-DRB1*15-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 67  A*11-B*27-DRB1*15-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 68  A*26-B*27-DRB1*15-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 69  A*26:01-B*27:05-C*02:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.04162,403
 70  A*01:01-B*27:02-C*06:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.04104,856
 71  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.035123,595
 72  A*02:01:01:01-B*27:05:02-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03451,510
 73  A*03:01-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 74  A*02:01-B*27:02-C*02:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 75  A*30:02-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 76  A*01:01:01:01-B*27:14-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 77  A*02:01:01:01-B*27:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 78  A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*15:02-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 79  A*11:01:01:01-B*27:05:02-C*07:02:01-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 80  A*24:02:01:01-B*27:05:02-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 81  A*68:01:01:02-B*27:05:02-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 82  A*02-B*27-C*01-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 83  A*30-B*27-C*15-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 84  A*02:01:01-B*27:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.032023,595
 85  A*24:02-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.03104,856
 86  A*02:01-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.03063,456,066
 87  A*02:06-B*27:04-C*15:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 88  A*24-B*27-C*01-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.03004,510
 89  A*24-B*27-C*02-DRB1*15-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.03004,510
 90  A*32-B*27-C*01-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.03004,510
 91  A*11:01:01-B*27:04:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 92  A*11:01:01-B*27:05:02-C*03:03:01-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 93  A*31:01:02-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 94  A*24:02-B*27:07-C*15:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.02825,849
 95  A*32:01-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.02804,856
 96  A*68:01-B*27:05-C*02:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.026211,446
 97  A*32:01:01-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.026123,595
 98  A*02-B*27-DRB1*15-DQB1*06  Mexico Puebla, Puebla city 0.02511,994
 99  A*30-B*27-DRB1*15-DQB1*06  Mexico Puebla, Puebla city 0.02511,994
 100  A*01:01-B*27:05-C*02:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.024611,446

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 240) 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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