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 84 (from 84) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*25:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  Poland 1.0000200
 2  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQA1*03:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.6536153
 3  A*01:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 4  B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 5  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*02:01  Russia Belgorod region 0.3268153
 6  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*23:01:01  Russia Belgorod region 0.3268153
 7  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.309823,595
 8  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 9  A*25:01-B*18:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  USA San Diego 0.2600496
 10  A*25:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.25261,075
 11  A*25:01-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.240620,653
 12  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.23741,510
 13  A*25:01-B*18:01-C*12:03-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 14  A*25:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Austria minority 0.18401,698
 15  A*24:02-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.15622,492
 16  A*25:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - France minority 0.14601,406
 17  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 18  A*25:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 19  A*03:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.12042,492
 20  A*25:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Netherlands minority 0.10901,374
 21  A*25:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Spain minority 0.10701,107
 22  A*03:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Spain minority 0.09001,107
 23  A*24:02-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.08855,829
 24  A*03:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Greece minority 0.08201,894
 25  A*25:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Croatia minority 0.08002,057
 26  A*24:02-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.079711,446
 27  A*02:06-B*18:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 28  A*24:02-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 29  A*03:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Romania minority 0.06301,234
 30  A*33:03-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.06202,492
 31  A*02:01-B*18:01-C*12:03-DRB1*13:01-DQB1*03:03-DPB1*04:02  Russia Karelia 0.05651,075
 32  A*02:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.05631,075
 33  A*11:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Greece minority 0.05301,894
 34  A*03:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.05165,849
 35  A*24:02-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.05145,849
 36  A*26:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 37  A*25:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 38  A*02:05-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Croatia minority 0.04602,057
 39  A*03:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.04504,856
 40  A*24:02-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Spain minority 0.04501,107
 41  A*24:02-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.04401,772
 42  A*25:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Portugal minority 0.04301,176
 43  A*25:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.04153,456,066
 44  A*26:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Romania minority 0.04101,234
 45  A*68:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Romania minority 0.04101,234
 46  A*25:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 47  A*25:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 48  A*02:01:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 49  A*02:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Austria minority 0.02901,698
 50  A*24:03-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Austria minority 0.02901,698
 51  A*02:01-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.027820,653
 52  A*01:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Greece minority 0.02601,894
 53  A*26:01-B*18:01-C*12:03-DRB1*13:01  Germany DKMS - Greece minority 0.02601,894
 54  A*68:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.02575,829
 55  A*03:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.025611,446
 56  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.024623,595
 57  A*03:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.02394,204
 58  A*68:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.022711,446
 59  A*26:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 60  A*68:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.01675,849
 61  A*02:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.012111,446
 62  A*02:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 63  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.011723,595
 64  A*25:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 65  A*01:01-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.009520,653
 66  A*01:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.009011,446
 67  A*01:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 68  A*11:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 69  A*01:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 70  A*11:01-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.007420,653
 71  A*68:01-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.007420,653
 72  A*32:01-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.006920,653
 73  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006123,595
 74  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005923,595
 75  A*31:01:02-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005523,595
 76  A*24:02-B*18:01-C*12:03-DRB1*13:01-DQB1*06:221  India South UCBB 0.004411,446
 77  A*33:03-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 78  A*26:01-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.004320,653
 79  A*31:01-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.003820,653
 80  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003423,595
 81  A*24:02-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.003220,653
 82  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002623,595
 83  A*32:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002223,595
 84  A*30:04:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595

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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