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 59 (from 59) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:02:01-B*35:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*02:01-B*35:03-C*04:01-DRB1*12:01-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 3  A*02:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  Italy pop 5 0.5900975
 4  A*02:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.17061,376
 5  A*11:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India East UCBB 0.15902,403
 6  A*01:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 7  A*24:02-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.11291,075
 8  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.083223,595
 9  A*02:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05611,075
 10  A*68:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05604,856
 11  A*01:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 12  A*11:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 13  A*24:02-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 14  A*33:03-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India East UCBB 0.04272,403
 15  A*02:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04104,856
 16  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.034823,595
 17  A*01:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 18  A*11:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 19  A*24:02-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 20  A*29:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 21  A*11:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India West UCBB 0.03395,829
 22  A*02:01:01:01-B*35:03:01-C*04:01:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 23  A*68:01:01:02-B*35:03:01-C*04:01:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 24  A*03:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.03073,456,066
 25  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.030623,595
 26  A*02:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India East UCBB 0.02712,403
 27  A*02:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.02673,456,066
 28  A*01:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India Central UCBB 0.02384,204
 29  A*02:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  USA African American pop 4 0.02202,411
 30  A*03:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  USA African American pop 4 0.02202,411
 31  A*24:02-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02204,856
 32  A*03:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India East UCBB 0.02082,403
 33  A*29:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India East UCBB 0.02082,403
 34  A*24:02-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01843,456,066
 35  A*31:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01804,856
 36  A*11:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India South UCBB 0.016811,446
 37  A*01:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India North UCBB 0.01675,849
 38  A*02:11-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India South UCBB 0.015011,446
 39  A*03:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01504,856
 40  A*31:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India South UCBB 0.013111,446
 41  A*24:02-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India Central UCBB 0.01294,204
 42  A*02:05-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India Central UCBB 0.01194,204
 43  A*23:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India Central UCBB 0.01194,204
 44  A*01:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India West UCBB 0.01075,829
 45  A*11:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India North UCBB 0.01005,849
 46  A*33:03-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India West UCBB 0.00905,829
 47  A*26:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India South UCBB 0.008911,446
 48  A*32:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India South UCBB 0.008711,446
 49  A*24:07-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India West UCBB 0.00865,829
 50  A*26:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India West UCBB 0.00865,829
 51  A*02:11-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India North UCBB 0.00855,849
 52  A*24:02-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India Tamil Nadu 0.00832,492
 53  A*31:01:02-B*35:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.007823,595
 54  A*68:01:02-B*35:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.005523,595
 55  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.005223,595
 56  A*11:01:01-B*35:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002523,595
 57  A*23:01:01-B*35:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002223,595
 58  A*31:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India Tamil Nadu 0.00001102,492
 59  A*11:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  India Tamil Nadu 0.00000302,492

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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