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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 201) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*15:01:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 3.472272
 2  B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.7483143
 3  A*31:01-B*15:25-DRB1*08:02  Malaysia Champa 1.724129
 4  B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.7100234
 5  B*15:01:01-DRB1*08:02:01  Taiwan Thao 1.700030
 6  A*02-B*15-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 7  A*02-B*15-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 1.316087
 8  A*02:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.0490143
 9  A*02:01-B*15:15-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 10  A*02-B*15-DRB1*08:02-DQB1*04:02  Colombia Wayu from Guajira Peninsula 1.040048
 11  A*24:02-B*15:30-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 12  A*24-B*15-DRB1*08:02-DQB1*04:02  Colombia Wayu from Guajira Peninsula 1.040048
 13  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 14  A*68-B*15-DRB1*08:02-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 15  A*24-B*15-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.930069
 16  A*68:01:02-B*15:04-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.9100105
 17  B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 18  A*31:01-B*15:08-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 19  A*02:01-B*15:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.7576330
 20  A*31-B*15-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.720069
 21  A*02:01-B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 22  A*68:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 23  B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 24  A*02:01:01-B*15:08:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 25  A*68:03:01-B*15:08:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 26  A*02:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6410234
 27  A*02:01-B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6410234
 28  A*68:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6410234
 29  B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6400234
 30  A*01:01-B*15:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 31  A*11:01-B*15:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 32  A*68:01-B*15:01-DRB1*08:02-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 33  A*31:01-B*15:30-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 34  A*68:03-B*15:10-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 35  A*02-B*15-DRB1*08:02  USA NMDP Hispanic 0.5000449,844
 36  A*31:01:02-B*15:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.4800105
 37  A*68-B*15-DRB1*08:02  Chile Santiago 0.4559920
 38  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 39  A*02:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.42101,999
 40  A*02:06-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 41  B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 42  A*11-B*15-C*08:01-DRB1*08:02-DQB1*04  Russia Transbaikal Territory Buryats 0.3340150
 43  A*31:01-B*15:20-C*03:02-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Puyanawa 0.3333150
 44  A*31:01:02-B*15:15-C*01:02:01-DRB1*08:02:01  Nicaragua Mestizo (G) 0.3226155
 45  A*68:03:01-B*15:15-C*04:01:01-DRB1*08:02:01  Nicaragua Mestizo (G) 0.3226155
 46  A*02:01-B*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.3030330
 47  A*02:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.28101,999
 48  A*02:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA NMDP Alaska Native or Aleut 0.27781,376
 49  A*31:01-B*15:01-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*04:01  USA San Diego 0.2600496
 50  A*31:01:02-B*15:09-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 51  A*31:78-B*15:01-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.2165339
 52  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 53  A*26:01-B*15:01-C*07:02-DRB1*08:02-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 54  A*33:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02-DPB1*105:01  Panama 0.1900462
 55  A*02:17-B*15:40-C*03:03-DRB1*08:02-DQB1*04:02  USA NMDP Caribean Indian 0.176814,339
 56  A*02:01-B*15:01-DRB1*08:02-DQB1*03:03  Mexico Mexico City Tlalpan 0.1515330
 57  A*31:01-B*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 58  A*68:01-B*15:05-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 59  A*24-B*15-DRB1*08:02  USA NMDP Hispanic 0.1000449,844
 60  A*25:01-B*15:39-C*04:01-DRB1*08:02  Italy pop 5 0.1000975
 61  A*31-B*15-DRB1*08:02  USA NMDP Hispanic 0.1000449,844
 62  A*68-B*15-DRB1*08:02  USA NMDP Hispanic 0.1000449,844
 63  A*02:01-B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 64  A*02:06-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 65  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.09051,463
 66  A*02-B*15-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 67  A*02:16-B*15:38-C*02:08-DRB1*08:02-DQA1*04:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 68  A*68:01-B*15:18-C*07:04-DRB1*08:02-DQA1*04:01-DQB1*03:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 69  A*26:03-B*15:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 70  A*02:01-B*15:08-C*01:02-DRB1*08:02  Germany DKMS - Bosnia and Herzegovina minority 0.06101,028
 71  A*31:08-B*15:17-DRB1*08:02  Israel Argentina Jews 0.05384,307
 72  A*02:01-B*15:02-C*02:02-DRB1*08:02-DQB1*04:02  Malaysia Peninsular Malay 0.0526951
 73  A*31:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India North UCBB 0.05085,849
 74  A*32:01-B*15:08-C*01:02-DRB1*08:02  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 75  A*02:06-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 76  A*02:17-B*15:40-C*03:03-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 77  A*03:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 78  A*03:01-B*15:39-C*04:01-DRB1*08:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 79  A*24:25-B*15:15-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 80  A*31:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 81  A*02:06-B*15:01-C*03:03-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.04401,772
 82  A*31:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.043011,446
 83  A*01:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India Central UCBB 0.04214,204
 84  A*02:01-B*15:18-C*01:02-DRB1*08:02  Japan pop 16 0.042018,604
 85  A*02:01-B*15:08-C*01:02-DRB1*08:02  Germany DKMS - Romania minority 0.04101,234
 86  A*03:01-B*15:08-C*01:02-DRB1*08:02  Germany DKMS - Romania minority 0.04101,234
 87  A*11:01-B*15:25-C*07:26-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.04012,492
 88  A*31:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.04012,492
 89  A*68:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.04012,492
 90  A*68:01-B*15:18-C*07:04-DRB1*08:02-DQB1*03:01  India Tamil Nadu 0.03902,492
 91  A*02:01-B*15:01-C*08:01-DRB1*08:02  Germany DKMS - China minority 0.03901,282
 92  A*02:07-B*15:01-C*03:04-DRB1*08:02  Germany DKMS - China minority 0.03901,282
 93  A*31:01-B*15:01-C*04:01-DRB1*08:02  Germany DKMS - China minority 0.03901,282
 94  A*24-B*15-DRB1*08:02  Chile Santiago 0.0372920
 95  A*24:02-B*15:01-C*03:03-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 96  A*31:01-B*15:04-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 97  A*74:01-B*15:03-C*02:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 98  A*02:01-B*15:39-C*04:01-DRB1*08:02-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 99  A*02:17-B*15:40-C*03:03-DRB1*08:02-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 100  A*26:03-B*15:01-C*03:03-DRB1*08:02  Japan pop 16 0.031018,604

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 201) 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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