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 114) records   Pages: 1 2 of 2  

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  B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.7100234
 4  A*02-B*15-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 5  A*02-B*15-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 1.316087
 6  A*02:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.0490143
 7  A*02-B*15-DRB1*08:02-DQB1*04:02  Colombia Wayu from Guajira Peninsula 1.040048
 8  A*24-B*15-DRB1*08:02-DQB1*04:02  Colombia Wayu from Guajira Peninsula 1.040048
 9  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 10  A*68-B*15-DRB1*08:02-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 11  A*24-B*15-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.930069
 12  A*68:01:02-B*15:04-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.9100105
 13  B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 14  A*31:01-B*15:08-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 15  A*02:01-B*15:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.7576330
 16  A*31-B*15-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.720069
 17  A*02:01-B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 18  A*68:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 19  B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 20  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
 21  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
 22  A*02:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6410234
 23  A*02:01-B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6410234
 24  A*68:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6410234
 25  B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6400234
 26  A*01:01-B*15:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 27  A*11:01-B*15:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 28  A*68:01-B*15:01-DRB1*08:02-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 29  A*31:01:02-B*15:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.4800105
 30  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 31  A*02:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.42101,999
 32  A*02:06-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 33  B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 34  A*31:01-B*15:20-C*03:02-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Puyanawa 0.3333150
 35  A*02:01-B*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.3030330
 36  A*02:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.28101,999
 37  A*02:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA NMDP Alaska Native or Aleut 0.27781,376
 38  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
 39  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
 40  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
 41  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
 42  A*33:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02-DPB1*105:01  Panama 0.1900462
 43  A*02:17-B*15:40-C*03:03-DRB1*08:02-DQB1*04:02  USA NMDP Caribean Indian 0.176814,339
 44  A*31:01-B*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 45  A*68:01-B*15:05-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 46  A*02:01-B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 47  A*02:06-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 48  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.09051,463
 49  A*02-B*15-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 50  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
 51  A*02:01-B*15:02-C*02:02-DRB1*08:02-DQB1*04:02  Malaysia Peninsular Malay 0.0526951
 52  A*31:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India North UCBB 0.05085,849
 53  A*02:06-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 54  A*02:17-B*15:40-C*03:03-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 55  A*03:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 56  A*24:25-B*15:15-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 57  A*31:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 58  A*02:06-B*15:01-C*03:03-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.04401,772
 59  A*31:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.043011,446
 60  A*01:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India Central UCBB 0.04214,204
 61  A*11:01-B*15:25-C*07:26-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.04012,492
 62  A*31:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.04012,492
 63  A*68:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.04012,492
 64  A*24:02-B*15:01-C*03:03-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 65  A*31:01-B*15:04-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 66  A*74:01-B*15:03-C*02:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 67  A*02:17-B*15:40-C*03:03-DRB1*08:02-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 68  A*02:01-B*15:18-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 69  A*24:02-B*15:18-C*08:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 70  A*26:01-B*15:01-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 71  A*26:01-B*15:18-C*08:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 72  A*26:03-B*15:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 73  A*31:01-B*15:07-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 74  A*02:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.02991,463
 75  A*31:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India Central UCBB 0.02924,204
 76  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 77  A*31:01:02-B*15:18:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 78  A*24:02-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India Central UCBB 0.02384,204
 79  A*01:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India East UCBB 0.02082,403
 80  A*02:11-B*15:25-C*07:26-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.02012,492
 81  A*24:02-B*15:25-C*07:26-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.02012,492
 82  A*31:01-B*15:08-C*12:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.02012,492
 83  A*11:01-B*15:25-C*07:26-DRB1*08:02-DQB1*04:02  India South UCBB 0.014011,446
 84  A*68:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.013111,446
 85  A*02:01-B*15:03-C*02:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 86  A*02:01-B*15:04-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 87  A*02:11-B*15:04-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 88  A*32:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 89  A*32:01-B*15:03-C*02:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 90  A*68:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 91  A*02:01-B*15:18-C*01:02-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.01101,772
 92  A*26:01-B*15:18-C*01:02-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.01101,772
 93  A*02:01-B*15:01-C*03:03-DRB1*08:02-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 94  A*01:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India North UCBB 0.00915,849
 95  A*33:03-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.008711,446
 96  A*01:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India West UCBB 0.00865,829
 97  A*11:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India West UCBB 0.00865,829
 98  A*31:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India West UCBB 0.00865,829
 99  A*01:01-B*15:01-C*12:03-DRB1*08:02-DQB1*04:02  India North UCBB 0.00855,849
 100  A*02:05-B*15:08-C*07:02-DRB1*08:02-DQB1*04:02  India North UCBB 0.00855,849

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 114) 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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