Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 81 (from 81) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:14-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 1.6055218
 2  A*31:01-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 3  A*68:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 4  B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 5  B*35:12-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 6  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 7  A*24:14-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.6881218
 8  A*24:02-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.6494339
 9  B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.6400234
 10  B*35:12-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4300234
 11  A*24:02-B*35:12-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 12  A*02:06-B*35:17-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 13  A*24:02-B*35:14-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 14  A*31:01-B*35:12-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 15  A*68:03-B*35:12-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 16  B*35:14-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 17  B*35:17-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 18  A*02:01:01:01-B*35:03:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 19  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*03:01  USA San Diego 0.2600496
 20  A*02:01-B*35:17-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 21  A*02:06-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 22  A*02:06-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 23  A*24:02-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 24  A*24:02-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 25  A*26:01-B*35:03-C*04:01-DRB1*04:04-DQB1*03:02  Italy pop 5 0.1400975
 26  A*02:01-B*35:05-C*04:01-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.10251,463
 27  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06891,510
 28  A*32:04-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.05641,075
 29  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.05504,856
 30  A*02:01-B*35:03-C*04:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 31  A*23:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 32  A*24:02-B*35:17-C*04:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 33  A*02:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 34  A*02:11-B*35:03-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.037811,446
 35  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India North UCBB 0.03425,849
 36  A*02:01-B*35:11-C*04:01-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 37  A*24:03-B*35:12-C*04:01-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 38  A*24:03-B*35:21-C*04:01-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 39  A*24:15-B*35:05-C*04:01-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 40  A*68:01-B*35:12-C*04:01-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 41  A*02:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 42  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 43  A*29:02-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*32:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*68:17-B*35:21-C*04:01-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 46  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 47  A*24:02-B*35:02-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.02104,856
 48  A*31:01-B*35:08-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.02104,856
 49  A*32:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 50  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.019823,595
 51  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.018811,446
 52  A*31:01-B*35:03-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01804,856
 53  A*68:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India West UCBB 0.01695,829
 54  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.01423,456,066
 55  A*02:11-B*35:03-C*04:01-DRB1*04:04-DQB1*03:02  India West UCBB 0.01325,829
 56  A*24:02-B*35:03-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01304,856
 57  A*02:03-B*35:05-C*04:01-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 58  A*02:11-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 59  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 60  A*11:01-B*35:03-C*04:01-DRB1*04:04-DQB1*03:02  India West UCBB 0.01185,829
 61  A*26:01-B*35:03-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 62  A*68:02-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 63  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India West UCBB 0.00925,829
 64  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.008923,595
 65  A*24:02-B*35:03-C*04:01-DRB1*04:04-DQB1*03:02  India West UCBB 0.00865,829
 66  A*31:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.008511,446
 67  A*68:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India North UCBB 0.00855,849
 68  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.007523,595
 69  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.006811,446
 70  A*01:01-B*35:03-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.005611,446
 71  A*02:03-B*35:03-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 72  A*02:06-B*35:02-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 73  A*11:03-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 74  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.004123,595
 75  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002523,595
 76  A*03:02:01-B*35:03:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 77  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 78  A*31:01:02-B*35:02:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002023,595
 79  A*02:01:01-B*35:02:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.001923,595
 80  A*32:01:01-B*35:02:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.001523,595
 81  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.000102023,595

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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