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 51 (from 51) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*31:01:02-B*15:01-DRB1*04:03-DQB1*03:02  USA South Dakota Lakota Sioux 2.2000302
 2  B*15:01-DRB1*04:03-DQB1*03:02  South Korea pop 3 1.6000485
 3  A*31:01-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 4  A*68:19-B*15:01-C*03:28-DRB1*04:03-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 5  A*32:01-B*15:01-DRB1*04:03-DQB1*03:02  Chile Mapuche 0.770066
 6  A*24:02-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 7  A*02:01-B*15:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 8  A*31:01-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.39651,376
 9  A*02:06-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.28991,376
 10  A*24:02-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 11  A*31:01-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 12  A*24:02-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 13  A*24:02-B*15:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 14  A*26:01:01-B*15:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 15  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*04:01  Russia Karelia 0.11211,075
 16  A*31:01-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 17  A*24:07-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 18  A*01:01-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 19  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 20  A*11:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06352,492
 21  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 22  A*11:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 23  A*11:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 24  A*69:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 25  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.04222,492
 26  A*01:01-B*15:01-C*12:03-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 27  A*02:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 28  A*24:02-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 29  A*02:01-B*15:01-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 30  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 31  A*11:01-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 32  A*24:02-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 33  A*24:20-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 34  A*02:01:01-B*15:01:01-C*01:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 35  A*02:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02112,492
 36  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.02104,856
 37  A*24:02-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 38  A*30:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 39  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.01194,204
 40  A*31:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.01194,204
 41  A*03:02-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.01152,492
 42  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01153,456,066
 43  A*23:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01104,856
 44  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.010823,595
 45  A*68:01-B*15:01-C*12:03-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 46  A*24:07-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00852,492
 47  A*32:01:01-B*15:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.006023,595
 48  A*03:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00522,492
 49  A*26:01:01-B*15:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.004723,595
 50  A*68:01:01-B*15:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 51  A*03:01:01-B*15:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.000951623,595

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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