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 69 (from 69) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*35:01-DRB1*04:04-DQB1*03:02  USA South Dakota Lakota Sioux 4.3000302
 2  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
 3  A*68:01-B*35:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 1.190584
 4  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
 5  A*68:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 6  B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 7  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
 8  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
 9  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
 10  B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.6400234
 11  A*02:01-B*35:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 12  A*23:01-B*35:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 13  A*25:01-B*35:01-DRB1*04:04-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 14  A*02:01-B*35:01-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 15  A*68:01:02-B*35:01-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 0.3800105
 16  A*24:02-B*35:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 17  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
 18  A*68:01-B*35:01-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Diego 0.2600496
 19  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
 20  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
 21  A*02:06-B*35:01-C*07:02-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*07:02-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*35:01-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 26  A*31:01:02-B*35:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 27  A*24:25-B*35:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*14:01  Panama 0.1900462
 28  A*03:01:01-B*35:01:01-C*06:02:01-DRB1*04:04:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.1810221
 29  A*02:01-B*35:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 30  A*31:01-B*35:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 31  A*68:02-B*35:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 32  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
 33  A*32:04-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.05641,075
 34  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.05504,856
 35  A*02:02-B*35:01-C*01:06-DRB1*04:04-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 36  A*23:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 37  A*02:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 38  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India North UCBB 0.03425,849
 39  A*01:01-B*35:01-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 40  A*02:01-B*35:01-C*03:04-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*33:03:01-B*35:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 46  A*32:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 47  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
 48  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.018811,446
 49  A*68:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India West UCBB 0.01695,829
 50  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
 51  A*02:11-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 52  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 53  A*68:02-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 54  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India West UCBB 0.00925,829
 55  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
 56  A*68:01-B*35:01-C*15:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.008711,446
 57  A*24:02-B*35:01-C*02:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.00865,829
 58  A*24:02-B*35:01-C*07:01-DRB1*04:04-DQB1*03:02  India West UCBB 0.00865,829
 59  A*01:01-B*35:01-C*03:03-DRB1*04:04-DQB1*03:02  India North UCBB 0.00855,849
 60  A*31:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.008511,446
 61  A*68:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India North UCBB 0.00855,849
 62  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
 63  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.006811,446
 64  A*11:03-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 65  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
 66  A*25:01:01-B*35:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002223,595
 67  A*23:01:01-B*35:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 68  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
 69  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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