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 74 (from 74) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*35-DRB1*14:06-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 4.166760
 2  A*02:06-B*35:23-DRB1*14:06  Mexico Oaxaca Mixtec 4.0000103
 3  A*02:01-B*35:17-DRB1*14:06  Mexico Oaxaca Mixe 3.000055
 4  A*68-B*35-DRB1*14:06-DQB1*03:01  Mexico Huasteca Region Teenek 2.600055
 5  A*24-B*35-DRB1*14:06-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 2.460053
 6  A*24:02-B*35:01-C*04:01-DRB1*14:06-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 2.127747
 7  A*02-B*35-DRB1*14:06-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.890053
 8  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 9  A*68-B*35-DRB1*14:06-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.210053
 10  A*24:02-B*35:01-C*03:04-DRB1*14:06-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 11  A*23-B*35-DRB1*14:06-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 12  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 13  A*68:01-B*35:01-DRB1*14:06-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 14  A*24:02-B*35:01-DRB1*14:06-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 15  A*31:01-B*35:01-DRB1*14:06-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 16  A*24:02:01-B*35:17:01-C*16:02:01-DRB1*14:06:01  Costa Rica African -Caribbean (G) 0.4902102
 17  A*02:01-B*35:05-DRB1*14:06-DQB1*06:03  Peru Titikaka Lake Uros 0.4800105
 18  A*02:01-B*35:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.4545330
 19  B*35:12-C*04:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 20  A*02-B*35-DRB1*14:06-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 21  A*24-B*35-DRB1*14:06-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 22  A*66-B*35-DRB1*14:06-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 23  A*31:01-B*35:01-C*04:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 24  A*31:01-B*35:17-C*04:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 25  B*35:01-C*04:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 26  B*35:17-C*04:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 27  A*31:01-B*35:06-C*04:01-DRB1*14:06-DQA1*05:03-DQB1*03:01  Brazil Puyanawa 0.3333150
 28  A*24:02:01-B*35:43:01-C*01:02:01-DRB1*14:06:01  Nicaragua Mestizo (G) 0.3226155
 29  A*68:01-B*35:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 30  A*02:01-B*35:12-C*04:01-DRB1*14:06-DQA1*01:02-DQB1*06:02-DPB1*23:01  USA San Diego 0.2600496
 31  A*02:01-B*35:17-C*04:01-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 32  A*31:01-B*35:08-C*04:01-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*126:01  Mexico Chiapas Lacandon Mayans 0.2294218
 33  A*24:03-B*35:43-C*01:02-DRB1*14:06-DQA1*03:01-DQB1*03:02-DPB1*03:01  Nicaragua Managua 0.2165339
 34  A*31:01-B*35:03-C*04:01-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPB1*04:01  Nicaragua Managua 0.2165339
 35  A*31:01-B*35:20-C*04:01-DRB1*14:06-DQA1*03:01-DQB1*03:02-DPB1*03:01  Nicaragua Managua 0.2165339
 36  A*68:05-B*35:17-C*03:03-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 37  A*02-B*35-DRB1*14:06  USA NMDP Hispanic 0.2000449,844
 38  A*02:06-B*35:01-C*04:01-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.16001,999
 39  A*11:01-B*35:01-DRB1*14:06-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 40  A*24:02-B*35:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 41  A*24-B*35-DRB1*14:06  USA NMDP Hispanic 0.1000449,844
 42  A*02:01-B*35:17-C*04:01-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.09501,999
 43  A*02:01-B*35:08-DRB1*14:06  Israel Libya Jews 0.08403,739
 44  A*02:01-B*35:01-C*03:04-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 45  A*02:01-B*35:12-C*04:01-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 46  A*24:02-B*35:01-C*04:01-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 47  A*24:02-B*35:43-C*01:02-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 48  A*68:01-B*35:12-C*04:01-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 49  A*02:01-B*35:01-C*03:03-DRB1*14:06-DQB1*03:01  USA Asian pop 2 0.04401,772
 50  A*24:02-B*35:01-C*03:03-DRB1*14:06  Japan pop 16 0.042018,604
 51  A*02:06-B*35:01-C*03:03-DRB1*14:06  Japan pop 16 0.037018,604
 52  A*26:01-B*35:01-C*03:03-DRB1*14:06  Japan pop 16 0.031018,604
 53  A*02:06-B*35:01-C*03:03-DRB1*14:06-DQA1*05:03-DQB1*03:19-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 54  A*11:01-B*35:01-C*03:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 55  A*24:02-B*35:01-C*03:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 56  A*01:01-B*35:08-DRB1*14:06  Israel Libya Jews 0.02923,739
 57  A*02:01-B*35:01-C*03:03-DRB1*14:06  Japan pop 16 0.021018,604
 58  A*01:01-B*35:08-DRB1*14:06  Israel Tunisia Jews 0.01679,070
 59  A*26:01-B*35:08-DRB1*14:06  Israel Tunisia Jews 0.01249,070
 60  A*02:01-B*35:08-DRB1*14:06  Israel Argentina Jews 0.01164,307
 61  A*24:02-B*35:01-DRB1*14:06  Israel Argentina Jews 0.01164,307
 62  A*31:01-B*35:08-DRB1*14:06  Israel Tunisia Jews 0.01079,070
 63  A*03:01-B*35:01-C*04:01-DRB1*14:06-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 64  A*11:01-B*35:03-C*04:01-DRB1*14:06-DQB1*03:01  India West UCBB 0.00865,829
 65  A*03:26-B*35:01-C*04:01-DRB1*14:06-DQB1*03:01  India North UCBB 0.00855,849
 66  A*02:05-B*35:01-DRB1*14:06  Israel USA Jews 0.00836,058
 67  A*03:02-B*35:08-DRB1*14:06  Israel Tunisia Jews 0.00809,070
 68  A*32:01-B*35:08-DRB1*14:06  Israel Libya Jews 0.00673,739
 69  A*68:02-B*35:08-DRB1*14:06  Israel Libya Jews 0.00673,739
 70  A*03:01-B*35:02-DRB1*14:06  Israel Tunisia Jews 0.00559,070
 71  A*11:01-B*35:01-C*03:03-DRB1*14:06  Japan pop 16 0.005018,604
 72  A*03:01-B*35:01-C*04:01-DRB1*14:06  Poland DKMS 0.004820,653
 73  A*02:03-B*35:08-C*04:01-DRB1*14:06-DQB1*03:01  India South UCBB 0.004411,446
 74  A*30:04-B*35:08-DRB1*14:06  Israel YemenJews 0.003215,542

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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