Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 60 (from 60) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01-B*39:01-DRB1*15:01-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 2  A*11:02:01-B*39:01:01-C*04:03:01-DRB1*15:01:01-DQB1*06:02:01  Vietnam Kinh 0.4950101
 3  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 4  B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 5  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 6  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Hawaiian or other Pacific Islander 0.255311,499
 7  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 8  A*24:02-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 9  A*24:02-B*39:01-DRB1*15:01-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 10  A*02:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 11  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.07003,078
 12  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 13  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 14  A*26:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 15  A*31:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.05201,159
 16  A*11:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 17  A*01:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.04402,411
 18  A*24:02:01-B*39:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03911,510
 19  A*68:24-B*39:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 20  A*02:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 21  A*02:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 22  A*02:06-B*39:01-C*03:04-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 23  A*11:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 24  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 25  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 26  A*24:20-B*39:01-C*12:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 27  A*26:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 28  A*31:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 29  A*31:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 30  A*31:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 31  A*02:03:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 32  A*31:01:02-B*39:01:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 33  A*01:01-B*39:01-C*12:04-DRB1*15:01-DQB1*06:02  India East UCBB 0.02082,403
 34  A*11:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01943,456,066
 35  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.019223,595
 36  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.017023,595
 37  A*24:02:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.013823,595
 38  A*02:03-B*39:01-C*12:04-DRB1*15:01-DQB1*06:02  India South UCBB 0.013111,446
 39  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 40  A*25:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 41  A*11:01-B*39:01-C*15:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 42  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.011323,595
 43  A*02:03-B*39:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 44  A*26:01-B*39:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 45  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.010523,595
 46  A*02:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 47  A*03:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 48  A*31:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 49  A*32:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 50  A*03:01-B*39:01-C*15:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 51  A*26:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.007423,595
 52  A*31:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00672,492
 53  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005123,595
 54  A*25:01:01-B*39:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 55  A*26:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.003823,595
 56  A*32:01:01-B*39:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 57  A*32:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 58  A*01:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 59  A*25:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002023,595
 60  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.000123023,595

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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