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 90 (from 90) records   Pages: 1 of 1  

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*24:02-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 1.06111,463
 5  A*02:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.0490143
 6  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 7  A*24:57-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 8  A*31:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 9  A*31:12-B*40:02-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 10  B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 11  A*02:01-B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 12  A*68:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 13  B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 14  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
 15  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
 16  A*02:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6410234
 17  A*02:01-B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6410234
 18  A*68:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6410234
 19  B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6400234
 20  A*68:01-B*35:43-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.4329339
 21  B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4300234
 22  A*02:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 23  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 24  A*02:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.42101,999
 25  A*02:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 26  A*02:06-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 27  B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 28  B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 29  A*02:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.28101,999
 30  A*02:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA NMDP Alaska Native or Aleut 0.27781,376
 31  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
 32  A*31:01-B*49:01-C*01:02-DRB1*08:02-DQA1*02:01-DQB1*04:02-DPB1*17:01  USA San Diego 0.2600496
 33  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
 34  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
 35  A*24:02-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 36  A*33:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02-DPB1*105:01  Panama 0.1900462
 37  A*02:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.13501,463
 38  A*24:03-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.09641,463
 39  A*02:01-B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 40  A*02:06-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 41  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.09051,463
 42  A*31:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.08251,463
 43  A*24:02-B*40:02-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06891,463
 44  A*31:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India North UCBB 0.05085,849
 45  A*68:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.04921,463
 46  A*02:06-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 47  A*03:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 48  A*31:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 49  A*31:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.043011,446
 50  A*01:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India Central UCBB 0.04214,204
 51  A*31:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.04012,492
 52  A*68:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.04012,492
 53  A*02:13-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03661,463
 54  A*68:02-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03501,463
 55  A*01:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 56  A*02:11-B*40:04-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 57  A*24:02-B*48:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 58  A*24:03-B*35:117-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 59  A*31:01-B*15:04-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 60  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
 61  A*11:01-B*55:02-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 62  A*24:02-B*56:01-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 63  A*24:20-B*55:02-C*01:02-DRB1*08:02-DQA1*06:01-DQB1*04:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 64  A*26:03-B*54:01-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 65  A*02:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.02991,463
 66  A*31:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India Central UCBB 0.02924,204
 67  A*24:02-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India Central UCBB 0.02384,204
 68  A*02:01-B*35:12-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.02301,999
 69  A*02:01-B*48:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.02301,999
 70  A*02:06-B*35:12-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.02301,999
 71  A*02:06-B*48:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.02301,999
 72  A*01:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India East UCBB 0.02082,403
 73  A*68:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.013111,446
 74  A*32:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 75  A*68:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 76  A*02:01-B*15:18-C*01:02-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.01101,772
 77  A*26:01-B*15:18-C*01:02-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.01101,772
 78  A*01:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India North UCBB 0.00915,849
 79  A*01:01-B*55:01-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.008711,446
 80  A*33:03-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.008711,446
 81  A*01:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India West UCBB 0.00865,829
 82  A*11:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India West UCBB 0.00865,829
 83  A*31:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India West UCBB 0.00865,829
 84  A*11:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India North UCBB 0.00855,849
 85  A*01:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 86  A*01:01-B*48:04-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 87  A*29:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 88  A*31:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 89  A*33:03-B*55:01-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 90  A*31:01:02-B*15:08:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02:01  Poland BMR 0.002123,595

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).




   

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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