Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 125) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*41-DRB1*07:01-DQB1*02  Gaza Palestinians 1.5000165
 2  A*23-B*41-DRB1*07-DQB1*02  Mexico Coahuila, Saltillo 1.369972
 3  A*30:04:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*665:01  South African Black 0.7040142
 4  A*30-B*41-DRB1*07-DQB1*02  Mexico Zacatecas, Zacatecas city 0.595284
 5  A*02:01-B*41:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 6  A*24-B*41-DRB1*07-DQB1*02  Mexico Baja Californa, Mexicali 0.5000100
 7  A*02-B*41-DRB1*07-DQB1*02  Mexico Zacatecas, Fresnillo 0.4762103
 8  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.43545,849
 9  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 10  A*02-B*41-DRB1*07-DQB1*02  Mexico Chihuahua Chihuahua City 0.4202119
 11  A*68-B*41-DRB1*07-DQB1*02  Mexico Tamaulipas Rural 0.3968125
 12  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 13  B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 14  A*30-B*41-C*16:02-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 15  A*24-B*41-DRB1*07-DQB1*02  Mexico Michoacan, Morelia 0.3311150
 16  A*68:02-B*41:01-C*17:01-DRB1*07:01-DQA1*03:01-DQB1*02:02-DPB1*03:01  South Africa Worcester 0.3000159
 17  A*68:27-B*41:01-C*17:01-DRB1*07:01-DQA1*04:01-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 18  A*29-B*41-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.2564192
 19  A*01:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 20  A*29:02-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01-DPB1*11:01  Panama 0.1900462
 21  A*31:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 22  A*23-B*41-DRB1*07-DQB1*02  Mexico Zacatecas Rural 0.1859266
 23  A*23-B*41-DRB1*07-DQB1*02  Mexico Veracruz Rural 0.1848539
 24  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.17844,204
 25  A*02:01-B*41:01-C*04:143-DRB1*07:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.1597336
 26  A*23-B*41-DRB1*07-DQB1*02  Mexico Michoacan Rural 0.1433348
 27  A*68-B*41-DRB1*07-DQB1*02  Mexico Michoacan Rural 0.1433348
 28  A*24:02:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 29  A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 30  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.12901,159
 31  A*02-B*41-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.12561,189
 32  A*23-B*41-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 0.1250396
 33  A*24-B*41-DRB1*07-DQB1*02  Mexico Nuevo Leon Rural 0.1136439
 34  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 35  A*66:01:01-B*41:02:01-C*17:01:01-DRB1*07:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.0936221
 36  A*68-B*41-DRB1*07-DQB1*02  Mexico Veracruz Rural 0.0924539
 37  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.08585,829
 38  A*30-B*41-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.0853585
 39  A*23-B*41-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.0780641
 40  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 41  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 42  A*02-B*41-DRB1*07-DQB1*02  Mexico Mexico City North 0.0664751
 43  A*23:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06621,510
 44  A*02-B*41-DRB1*07-DQB1*02  Ecuador Andes Mixed Ancestry 0.0607824
 45  A*23-B*41-DRB1*07-DQB1*02  Ecuador Andes Mixed Ancestry 0.0607824
 46  A*66-B*41-DRB1*07-DQB1*02  Ecuador Andes Mixed Ancestry 0.0607824
 47  A*24:02-B*41:01-C*16:04-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.05651,075
 48  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.053323,595
 49  A*24:07-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 50  A*01-B*41-C*17-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.05101,743
 51  A*66:01-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.05104,856
 52  A*23-B*41-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.05011,994
 53  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 54  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.04405,829
 55  A*26:12-B*41:01-C*07:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 56  A*74:01-B*41:01-C*07:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 57  A*01:01-B*41:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 58  A*30:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 59  A*30:04-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 60  A*31:06-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.04295,829
 61  A*02-B*41-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 62  A*23-B*41-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 63  A*66-B*41-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 64  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.04104,856
 65  A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.03435,849
 66  A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.03425,849
 67  A*02:22-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 68  A*23:01-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 69  A*69:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 70  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 71  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 72  A*03:01:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 73  A*24:02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 74  A*24:02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 75  A*66-B*41-C*17-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.03281,743
 76  A*26-B*41-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.02511,994
 77  A*30-B*41-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.02511,994
 78  A*33-B*41-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.02511,994
 79  A*66-B*41-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.02511,994
 80  A*68-B*41-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.02511,994
 81  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.021811,446
 82  A*02:05-B*41:01-C*07:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 83  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 84  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 85  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 86  A*29:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 87  A*31:06-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.01715,849
 88  A*66:01-B*41:02-C*17:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.01715,849
 89  A*23:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.014723,595
 90  A*30:02-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.01201,999
 91  A*66:01-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.01201,999
 92  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 93  A*11:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 94  A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 95  A*33:03-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 96  A*68:01-B*41:01-C*12:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 97  A*01:01-B*41:01-C*07:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.01102,411
 98  A*02:01-B*41:02-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01104,856
 99  A*33:03-B*41:01-C*07:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.01102,411
 100  A*01-B*41-C*17-DRB1*07-DQB1*02-DPB1*17  Norway ethnic Norwegians 0.01004,510

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 125) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional