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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Displaying 1 to 65 (from 65) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02:01-B*40:02-C*03:04-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 2  B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.0490143
 3  A*68:01-B*40:02-C*03:04-DRB1*08:02  Russia Bering Island Aleuts 0.9615104
 4  A*31:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 5  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 6  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Puyanawa 0.6667150
 7  B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4300234
 8  A*26:01-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.428018,604
 9  A*02:06-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 10  A*24:02:01:01-B*40:02:01-C*03:04:01-DRB1*08:02:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 11  A*24:02-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02-DPB1*04:02  Panama 0.3800462
 12  A*02:22-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.37511,463
 13  A*02:02-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 14  A*68:01-B*40:02-C*03:04-DRB1*08:02-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 15  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.20003,078
 16  A*24:02-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02-DPB1*03:01  Panama 0.1900462
 17  A*68:01-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 18  A*02:06-B*40:02-C*03:04-DRB1*08:02-DQB1*03:02  USA Asian pop 2 0.17801,772
 19  A*02:06-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.151018,604
 20  A*02:13-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.14651,463
 21  A*24:02-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.141018,604
 22  A*31:01-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.141018,604
 23  A*02:06-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.13003,078
 24  A*24:14-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.12501,463
 25  A*02:01-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.120018,604
 26  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 27  A*24:02-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 28  A*02:06-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.08901,772
 29  A*24:02-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.08011,463
 30  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 31  A*24:02-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 32  A*68:01-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 33  A*32:01-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02-DPB1*04:02  Russia Karelia 0.05651,075
 34  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02-DPB1*04:02  Russia Karelia 0.05651,075
 35  A*31:01-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02-DPB1*04:02  Russia Karelia 0.05561,075
 36  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQB1*03:02  USA Asian pop 2 0.04401,772
 37  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQB1*03:02  USA Asian pop 2 0.04401,772
 38  A*02:01-B*40:02-C*03:04-DRB1*08:02  Germany DKMS - China minority 0.03901,282
 39  A*24:02-B*40:02-C*03:04-DRB1*08:02  Germany DKMS - China minority 0.03901,282
 40  A*02:22-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 41  A*02:17-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03361,463
 42  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 43  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 44  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 45  A*02:06-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 46  A*02:10-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 47  A*24:02-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 48  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 49  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:02  Japan pop 17 0.03003,078
 50  A*26:03-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 51  A*31:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 52  A*31:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*03:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 53  A*31:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 54  A*11:01-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.026018,604
 55  A*02:06-B*40:02-C*03:04-DRB1*08:02  Hong Kong Chinese BMDR 0.01327,595
 56  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 57  A*24:02-B*40:02-C*03:04-DRB1*08:02-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 58  A*24:02-B*40:02-C*03:04-DRB1*08:02  Hong Kong Chinese BMDR 0.00657,595
 59  A*02:10-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.005018,604
 60  A*24:08-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.005018,604
 61  A*26:03-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.005018,604
 62  A*33:03-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.005018,604
 63  A*02:06-B*40:02-C*03:04-DRB1*08:02  Poland DKMS 0.002420,653
 64  A*24:02-B*40:02-C*03:04-DRB1*08:02  Poland DKMS 0.002420,653
 65  A*24:02:01-B*40:02:01-C*03:04:01-DRB1*08:02:01-DQB1*03:02:01  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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