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 153) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 11.940367
 2  A*02-B*39-DRB1*04:07-DQA1*03-DQB1*03:02  Mexico Mazatecan 10.800089
 3  A*24-B*39-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 8.156560
 4  A*68-B*39-DRB1*04:07-DQB1*03:02  Guatemala Mayan 6.4000132
 5  B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 5.5944143
 6  A*68-B*39-DRB1*04:07-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 5.230053
 7  A*68-B*39-DRB1*04:07-DQB1*03:02  Mexico Huasteca Region Teenek 5.200055
 8  A*02-B*39-DRB1*04:07-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 4.760053
 9  A*02-B*39-DRB1*04:07-DQB1*03:02  Guatemala Mayan 4.2000132
 10  B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 4.0600234
 11  A*24-B*39-DRB1*04:07-DQA1*03-DQB1*03:02  Colombia Jaidukama 3.800039
 12  A*02-B*39-DRB1*04:07-DQB1*03:02  Mexico Huasteca Region Teenek 3.700055
 13  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 3.4404218
 14  A*24-B*39-DRB1*04:07-DQA1*03-DQB1*03:02  Mexico Mazatecan 3.300089
 15  A*68:01-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.985167
 16  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 2.777872
 17  A*68:03:01-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 2.777872
 18  A*02-B*39-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 2.676860
 19  A*24:02:01-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 2.083372
 20  A*68:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 1.9697330
 21  A*68:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 1.785784
 22  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 1.7483143
 23  A*24:02-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 1.704588
 24  A*31:01:02-B*39:01-DRB1*04:07-DQB1*03:02  USA South Dakota Lakota Sioux 1.6000302
 25  A*02:06-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 1.3986143
 26  A*02:01-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 1.2800234
 27  A*24:02-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 1.1468218
 28  A*02:06-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 1.0700234
 29  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 1.0700234
 30  A*02:06-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 31  A*24:02-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 32  A*68:03-B*39:05-C*07:02-DRB1*04:07-DRB4*01:01-DQB1*03:02  USA NMDP Mexican or Chicano 1.0523261,235
 33  A*02:01-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 1.0490143
 34  A*24:02-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 1.0490143
 35  A*24:02-B*39:01-C*07:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 36  A*31:12-B*39:01-C*07:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 37  A*02:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.9091330
 38  B*39:06-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.8600234
 39  A*68:16-B*39:03-DRB1*04:07-DQB1*03:02  Chile Mapuche 0.770066
 40  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.74801,999
 41  A*24:02-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 42  A*68:03-B*39:02-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 43  A*68-B*39-DRB1*04:07-DQB1*03:02  Bolivia Quechua 0.720069
 44  B*39:06-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 45  A*01:01:01-B*39:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 46  A*01:01:01-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 47  A*02:01:01-B*39:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 48  A*02:01:01-B*39:02:02-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 49  A*02:01:01-B*39:05:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 50  A*11:01:01-B*39:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 51  A*31:01:02-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 52  A*68:01:01-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 53  A*02:06-B*39:05-C*07:02-DRB1*04:07-DRB4*01:01-DQB1*03:02  USA NMDP Mexican or Chicano 0.6700261,235
 54  A*02:06-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.6494339
 55  A*24:02-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.6061330
 56  A*02:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 57  A*02:01-B*39:06-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 58  A*03:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 59  A*24:02-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 60  A*32:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 61  A*02-B*39-DRB1*04:07-DQB1*03:02  Bolivia Quechua 0.590069
 62  A*02:01-B*39:06-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 63  A*26:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 64  A*31:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 65  A*68:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 66  A*68:03-B*39:05-C*07:02-DRB1*04:07-DRB4*01:01-DQB1*03:02  USA NMDP Hispanic South or Central American 0.5534146,714
 67  A*11:01-B*39:05-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  USA San Diego 0.5210496
 68  A*68:01:02-B*39:01-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 69  A*02:06-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.46501,999
 70  A*02:06-B*39:08-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 71  A*68:01-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 72  A*68:03-B*39:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 73  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*03:01  Mexico Chiapas Lacandon Mayans 0.4587218
 74  A*68:05-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 75  A*02:01-B*39:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.4329339
 76  A*68:01-B*39:08-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.4329339
 77  B*39:08-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4300234
 78  A*24:02-B*39:06-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 79  A*03:01-B*39:06-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 80  A*24:02-B*39:06-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 81  A*31:01-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 82  A*02:01-B*39:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 83  A*68:01-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.28361,463
 84  A*24:02-B*39:06-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Diego 0.2600496
 85  A*02:06-B*39:05-C*07:02-DRB1*04:07-DRB4*01:01-DQB1*03:02  USA NMDP Hispanic South or Central American 0.2584146,714
 86  A*02:01-B*39:01-C*03:38-DRB1*04:07-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 87  A*02:01-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.23791,463
 88  A*02:01-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 89  A*02:06-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 90  A*24:02-B*39:05-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 91  A*24:02-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 92  A*24:02-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*14:01  Mexico Chiapas Lacandon Mayans 0.2294218
 93  A*24:02-B*39:06-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 94  A*24:02-B*39:08-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 95  A*31:01-B*39:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 96  A*31:01-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 97  A*31:01-B*39:08-C*07:02-DRB1*04:07-DQA1*03:03-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 98  A*68:05-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:11-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 99  A*68:05-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*14:01  Mexico Chiapas Lacandon Mayans 0.2294218
 100  A*02:06-B*39:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*02:02  Nicaragua Managua 0.2165339

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 153) 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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