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 78 (from 78) 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*02:06-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.1689296
 14  A*33:03-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.1689296
 15  A*24:02-B*15:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 16  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
 17  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*04:01  Russia Karelia 0.11211,075
 18  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
 19  A*24:07-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 20  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
 21  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
 22  A*11:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06352,492
 23  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.052311,446
 24  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India West UCBB 0.05155,829
 25  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 26  A*11:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 27  A*11:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 28  A*69:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 29  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.04222,492
 30  A*01:01-B*15:01-C*12:03-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 31  A*02:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 32  A*24:02-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 33  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
 34  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
 35  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
 36  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
 37  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
 38  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
 39  A*02:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02112,492
 40  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.02104,856
 41  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India East UCBB 0.02082,403
 42  A*03:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India East UCBB 0.02082,403
 43  A*32:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India East UCBB 0.02082,403
 44  A*24:02-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 45  A*30:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 46  A*11:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.01875,829
 47  A*24:02-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.013211,446
 48  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 49  A*31:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 50  A*03:02-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.01152,492
 51  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
 52  A*23:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01104,856
 53  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
 54  A*68:01-B*15:01-C*12:03-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 55  A*03:01-B*15:01-C*12:03-DRB1*04:03-DQB1*03:02  India West UCBB 0.00865,829
 56  A*32:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.00865,829
 57  A*32:01-B*15:01-C*12:03-DRB1*04:03-DQB1*03:02  India West UCBB 0.00865,829
 58  A*24:07-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00852,492
 59  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 60  A*03:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 61  A*11:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 62  A*24:11N-B*15:01-C*12:03-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 63  A*32:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 64  A*68:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 65  A*02:11-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.007411,446
 66  A*02:06-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.00705,829
 67  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
 68  A*03:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00522,492
 69  A*11:01-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004811,446
 70  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
 71  A*01:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 72  A*24:07-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 73  A*26:01-B*15:01-C*14:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 74  A*32:01-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 75  A*68:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 76  A*68:01-B*15:01-C*06:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 77  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
 78  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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