Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 82 (from 82) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 1.5837221
 2  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 3  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 4  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQA1*05:10-DQB1*03:01  Brazil Puyanawa 0.3333150
 5  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.2810356
 6  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.274323,595
 7  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 8  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.25901,159
 9  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 10  A*25:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 11  A*24:03:01-B*07:02:01-C*07:02:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 12  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 13  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  USA NMDP American Indian South or Central America 0.14285,926
 14  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.13751,510
 15  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 16  A*24:02-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 17  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.123623,595
 18  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  USA NMDP Black South or Central American 0.11974,889
 19  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.10704,856
 20  A*32:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 21  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.08953,456,066
 22  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.08004,856
 23  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 24  A*24:02-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 25  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*06:01  Russia Karelia 0.06711,075
 26  A*24:03:01-B*07:02:01-C*07:02:01:03-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 27  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06451,510
 28  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.06081,075
 29  A*24:02-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.05905,849
 30  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*17:01  Russia Karelia 0.05621,075
 31  A*24:02-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05604,856
 32  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.04683,456,066
 33  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 34  A*31:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 35  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.04314,204
 36  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.04123,456,066
 37  A*24:02-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.04063,456,066
 38  A*02:11-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.03862,492
 39  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.034323,595
 40  A*32:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 41  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*11:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 42  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 43  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.03133,456,066
 44  A*24:02-B*07:02-C*07:02-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 45  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.02743,456,066
 46  A*11:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 47  A*24:02-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 48  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 49  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.020123,595
 50  A*24:02-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01935,829
 51  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01923,456,066
 52  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01845,829
 53  A*68:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01755,849
 54  A*31:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01705,849
 55  A*01:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01523,456,066
 56  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.014423,595
 57  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*06:01  Germany DKMS - German donors 0.01423,456,066
 58  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01283,456,066
 59  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01285,849
 60  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01274,204
 61  A*02:06-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 62  A*31:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 63  A*24:02-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 64  A*33:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 65  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.010823,595
 66  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01083,456,066
 67  A*03:02-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 68  A*23:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 69  A*26:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 70  A*29:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 71  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00905,849
 72  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 73  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.008023,595
 74  A*24:02-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.008011,446
 75  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004811,446
 76  A*02:03-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 77  A*68:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 78  A*11:01:79-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003723,595
 79  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.003211,446
 80  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002823,595
 81  A*29:02:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002623,595
 82  A*11:01:01-B*07:02:01-C*07:02:10-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001723,595

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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