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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Displaying 1 to 100 (from 151) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*26-B*38-DRB1*14-DQB1*05  Mexico Sinaloa, Culiacán 0.9709103
 2  A*26:01-B*38:01-DRB1*14:01-DQB1*05:01  Iran Yazd 0.892956
 3  A*23-B*38-DRB1*14:01-DQB1*05:03  Bolivia Quechua 0.720069
 4  A*30-B*38-DRB1*14-DQB1*05  Mexico Veracruz, Veracruz city 0.5814171
 5  A*29:01-B*38:01-DRB1*14:01-DQB1*05:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 6  A*24:02-B*38:01-DRB1*14:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 7  A*26-B*38-DRB1*14-DQB1*05  Mexico Sonora Rural 0.5076197
 8  A*26-B*38-DRB1*14-DQB1*05  Mexico Sonora, Hermosillo 0.505199
 9  A*24:02-B*38:01-C*07:04-DRB1*14:01-DQA1*01:01-DQB1*05:03  Kosovo 0.4030124
 10  A*02-B*38-DRB1*14-DQB1*05  Mexico Tabasco Rural 0.3521142
 11  A*26-B*38-DRB1*14-DQB1*05  Mexico Michoacan, Morelia 0.3311150
 12  A*26-B*38-DRB1*14-DQB1*05  Mexico Mexico City Center 0.3247152
 13  A*30-B*38-DRB1*14-DQB1*05  Mexico Guanajuato Rural 0.3067162
 14  A*26:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.29304,856
 15  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*14:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 16  A*24-B*38-DRB1*14-DQB1*05  Mexico Michoacan Rural 0.2865348
 17  A*26-B*38-DRB1*14-DQB1*05  Mexico Sinaloa Rural 0.2732183
 18  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*14:01:01-DQB1*05:03:01  Russia Bashkortostan, Tatars 0.2604192
 19  A*02:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.25901,159
 20  A*02-B*38-DRB1*14-DQB1*05  Mexico Coahuila Rural 0.2294216
 21  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*14:01-DQB1*05:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 22  A*26:01-B*38:01:01-C*12:03-DRB1*14:01-DQB1*05:03:01  England North West 0.2000298
 23  A*26-B*38-DRB1*14-DQB1*05  Mexico Zacatecas Rural 0.1859266
 24  A*26:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Colombia Bogotá Cord Blood 0.17091,463
 25  A*02-B*38-DRB1*14-DQB1*05  Mexico Michoacan Rural 0.1433348
 26  A*24:03-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Italy pop 5 0.1400975
 27  A*24-B*38-DRB1*14-DQB1*05  Ecuador Mixed Ancestry 0.12791,173
 28  A*11-B*38-DRB1*14-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 29  A*24-B*38-DRB1*14-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 30  A*02-B*38-DRB1*14-DQB1*05  Ecuador Andes Mixed Ancestry 0.1214824
 31  A*24-B*38-DRB1*14-DQB1*05  Ecuador Andes Mixed Ancestry 0.1214824
 32  A*24-B*38-DRB1*14-DQB1*05  Mexico Nuevo Leon Rural 0.1136439
 33  A*02:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.11004,856
 34  A*24:02-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Colombia Bogotá Cord Blood 0.10921,463
 35  A*26-B*38-C*12-DRB1*14-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.10551,743
 36  A*26:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 37  A*01-B*38-DRB1*14-DQB1*05  Mexico Oaxaca Rural 0.1027485
 38  A*11:02-B*38:02-C*07:02-DRB1*14:01-DQB1*05:03  USA Asian pop 2 0.08701,772
 39  A*24:02-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.08601,159
 40  A*30:04-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.08601,159
 41  A*02-B*38-DRB1*14-DQB1*05  Ecuador Mixed Ancestry 0.08531,173
 42  A*31-B*38-DRB1*14-DQB1*05  Mexico Jalisco Rural 0.0853585
 43  A*02:03-B*38:02-C*07:02-DRB1*14:01-DQB1*05:03  USA Asian pop 2 0.08401,772
 44  A*26-B*38-DRB1*14-DQB1*05  Mexico Jalisco, Guadalajara city 0.08381,189
 45  A*02:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03-DPB1*02:01  Russia Karelia 0.08191,075
 46  A*29-B*38-DRB1*14:01-DQA1*01:04-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 47  A*02-B*38-C*12-DRB1*14-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.07261,743
 48  A*24:02-B*38:01-C*12:03-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 49  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*14:01:01-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 50  A*29-B*38-DRB1*14-DQB1*05  Ecuador Andes Mixed Ancestry 0.0607824
 51  A*01-B*38-DRB1*14-DQB1*05  Mexico Tlaxcala Rural 0.0602830
 52  A*03:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03-DPB1*04:01  Russia Karelia 0.05651,075
 53  A*01:01-B*38:02-C*15:02-DRB1*14:04-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 54  A*02:06-B*38:01-C*07:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 55  A*02:06-B*38:02-C*07:05-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 56  A*02:07-B*38:01-C*12:03-DRB1*14:86-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 57  A*11:01-B*38:02-C*07:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 58  A*24:02-B*38:02-C*07:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 59  A*24:07-B*38:02-C*15:02-DRB1*14:04-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 60  A*24:10-B*38:02-C*07:02-DRB1*14:82-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 61  A*01:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  USA Hispanic pop 2 0.04701,999
 62  A*29:02-B*38:01-C*16:01-DRB1*14:01-DQB1*05:03  USA Hispanic pop 2 0.04701,999
 63  A*32:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  USA Hispanic pop 2 0.04701,999
 64  A*02:06-B*38:02-C*07:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.04401,772
 65  A*24:02-B*38:02-C*03:03-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.04401,772
 66  A*25:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.04301,159
 67  A*26:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.04301,159
 68  A*29-B*38-DRB1*14-DQB1*05  Ecuador Mixed Ancestry 0.04261,173
 69  A*03-B*38-DRB1*14-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 70  A*24-B*38-DRB1*14-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 71  A*30:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.03704,856
 72  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*14:01:01-DQB1*05:03:01  Poland BMR 0.036723,595
 73  A*03:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Colombia Bogotá Cord Blood 0.03421,463
 74  A*30:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Colombia Bogotá Cord Blood 0.03421,463
 75  A*03:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 76  A*29:02-B*38:01-C*16:01-DRB1*14:01-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 77  A*29:10-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 78  A*30:01-B*38:01-C*12:03-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 79  A*02:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*14:54-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 80  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*14:01:01-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 81  A*29-B*38-C*16-DRB1*14-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 82  A*02:01-B*38:02-C*07:02-DRB1*14:05-DQA1*01:04-DQB1*05:03-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 83  A*11:02:01-B*38:02:01-C*07:02:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 84  A*68:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.02604,856
 85  A*02:03-B*38:02-C*07:02-DRB1*14:10-DQB1*05:10  India West UCBB 0.02575,829
 86  A*02:11-B*38:01-C*03:04-DRB1*14:04-DQB1*05:03  India North UCBB 0.02565,849
 87  A*11-B*38-DRB1*14-DQB1*05  Mexico Puebla, Puebla city 0.02511,994
 88  A*03:01-B*38:01-C*12:03-DRB1*14:04-DQB1*05:03  India West UCBB 0.02365,829
 89  A*26:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03-DPB1*04:01  Germany DKMS - German donors 0.02323,456,066
 90  A*24:17-B*38:01-C*12:03-DRB1*14:04-DQB1*05:03  India East UCBB 0.02082,403
 91  A*33:03-B*38:02-C*07:02-DRB1*14:05-DQB1*05:03  India East UCBB 0.02082,403
 92  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.020023,595
 93  A*33:03-B*38:02-C*07:02-DRB1*14:54-DQB1*05:03  India South UCBB 0.017511,446
 94  A*01:01-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  India West UCBB 0.01725,829
 95  A*02:03-B*38:02-C*07:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.01725,829
 96  A*02:03-B*38:02-C*07:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.01715,849
 97  A*02:03-B*38:02-C*07:02-DRB1*14:10-DQB1*05:10  India North UCBB 0.01715,849
 98  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.016923,595
 99  A*24:03-B*38:01-C*12:03-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.01604,856
 100  A*01:01-B*38:02-C*06:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.01602,492

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 151) 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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