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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 70 (from 70) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.624323,595
 2  A*24:02-B*18:01-DRB1*04:01-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 3  A*02:01-B*18:01-DRB1*04:01-DQB1*03:02  Iran Tabriz Azeris 0.515597
 4  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.46001,510
 5  A*25:01:01-B*18:01:01-C*02:02:02-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*06:01  Russian Federation Vologda Region 0.4202119
 6  A*23:01:01-B*18:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 7  A*25:01:01-B*18:01:01-C*12:02:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 8  A*01:03-B*18:01-C*07:04-DRB1*04:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.3195336
 9  A*32:01-B*18:01-C*07:01-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*11:01  USA San Diego 0.2600496
 10  A*25:01-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.19061,075
 11  A*03:01-B*18:01-C*08:02-DRB1*04:01-DQB1*03:02-DPB1*04:01  Panama 0.1900462
 12  A*11:01-B*18:01-C*07:02-DRB1*04:01-DQB1*03:02  India Northeast UCBB 0.1689296
 13  A*25:01-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.10803,456,066
 14  A*02:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  Colombia Bogotá Cord Blood 0.10251,463
 15  A*02:01:01:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 16  A*25:01-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Russia Karelia 0.07421,075
 17  A*11:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India East UCBB 0.06242,403
 18  A*24:07-B*18:01-C*03:02-DRB1*04:01-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 19  A*25:01-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.05104,856
 20  A*02:01-B*18:01-C*05:01-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 21  A*02:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 22  A*03:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 23  A*80:01-B*18:01-C*02:02-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 24  A*02:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 25  A*32:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 26  A*25:01-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.03453,456,066
 27  A*02:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 28  A*25:01-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 29  A*03:01:01:01-B*18:01:01-C*06:02:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 30  A*25:01:01-B*18:01:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 31  A*31:01:02:01-B*18:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 32  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.030023,595
 33  A*25:01-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.02853,456,066
 34  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.023523,595
 35  A*03:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India East UCBB 0.02082,403
 36  A*32:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India East UCBB 0.02082,403
 37  A*24:02:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.020723,595
 38  A*02:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.01633,456,066
 39  A*03:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.01323,456,066
 40  A*03:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India Central UCBB 0.01194,204
 41  A*31:12-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02  India Central UCBB 0.01194,204
 42  A*03:01:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.010223,595
 43  A*02:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01013,456,066
 44  A*02:01-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 45  A*24:02-B*18:01-C*05:01-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 46  A*68:01:02-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.009023,595
 47  A*24:02-B*18:01-C*05:01-DRB1*04:01-DQB1*03:02  India West UCBB 0.00865,829
 48  A*24:07-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India West UCBB 0.00865,829
 49  A*32:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India West UCBB 0.00865,829
 50  A*24:02-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02  India North UCBB 0.00855,849
 51  A*24:02-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India South UCBB 0.008311,446
 52  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.008323,595
 53  A*24:02:01-B*18:01:01-C*06:02:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.006423,595
 54  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.005423,595
 55  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004823,595
 56  A*24:02-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 57  A*32:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 58  A*24:03:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004223,595
 59  A*01:01:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.003623,595
 60  A*02:01:01-B*18:01:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002623,595
 61  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002523,595
 62  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002323,595
 63  A*29:02:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002223,595
 64  A*02:01:01-B*18:01:01-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002223,595
 65  A*02:01:01-B*18:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 66  A*66:01:01-B*18:01:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 67  A*68:01:02-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002023,595
 68  A*66:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002023,595
 69  A*11:01:01-B*18:01:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.001623,595
 70  A*26:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00000282,492

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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