Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 1 to 98 (from 98) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  South Korea pop 3 1.1000485
 2  B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Ireland South 1.0000250
 3  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.910777,584
 4  A*11:01:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.7812192
 5  A*02:01:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.63421,510
 6  A*02:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 7  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.54704,335
 8  A*26:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.5210496
 9  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.34761,075
 10  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.32701,999
 11  A*68:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 12  A*11:01-B*27:05-C*01:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.3000298
 13  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  USA NMDP Caribean Indian 0.277614,339
 14  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 0.26651,242,890
 15  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 16  A*68:01:02:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 17  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 18  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 19  A*03:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 20  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP North American Amerindian 0.242235,791
 21  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.23921,463
 22  A*02:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.227023,595
 23  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.21305,926
 24  A*02:01-B*27:05-C*01:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 25  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.18361,075
 26  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 27  A*31:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.13671,463
 28  A*03:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.13071,075
 29  A*24:02-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.12271,075
 30  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Mexican or Chicano 0.1164261,235
 31  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.115223,595
 32  A*24:02-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.11501,159
 33  A*29:02-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 34  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Hispanic South or Central American 0.0975146,714
 35  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 0.097270,890
 36  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.09663,456,066
 37  A*11:01:01-B*27:05:02-C*01:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0936221
 38  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.08901,772
 39  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.08702,411
 40  A*26:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.08601,159
 41  A*24:02:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.08481,510
 42  A*24:02:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.08071,510
 43  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Black 0.071633,328
 44  A*02:06-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*04:02  Japan pop 17 0.07003,078
 45  A*26:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 46  A*32:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 47  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Hispanic 0.0628115,374
 48  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP African American pop 2 0.0614416,581
 49  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.06091,075
 50  A*24:02:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.057623,595
 51  A*26:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.05673,456,066
 52  A*26:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.05651,075
 53  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*14:01  Russia Karelia 0.05651,075
 54  A*26:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.05104,856
 55  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 56  A*30:02-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 57  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.04413,456,066
 58  A*02:06-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 59  A*31:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 60  A*33:03-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 61  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 0.038824,582
 62  A*32:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03501,510
 63  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 64  A*32:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 65  A*31:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 66  A*33:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 67  A*03:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.033923,595
 68  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 69  A*26:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 70  A*03:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.02202,411
 71  A*03:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.02133,456,066
 72  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 73  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  India East UCBB 0.02082,403
 74  A*24:02-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  India East UCBB 0.02082,403
 75  A*24:02-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01843,456,066
 76  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.01813,456,066
 77  A*30:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.017323,595
 78  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.017199,672
 79  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*23:01  Germany DKMS - German donors 0.01603,456,066
 80  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.01563,456,066
 81  A*01:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.015323,595
 82  A*32:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01493,456,066
 83  A*25:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.014723,595
 84  A*26:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.01393,456,066
 85  A*01:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01373,456,066
 86  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Filipino 0.012750,614
 87  A*32:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.012223,595
 88  A*02:11-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  India Central UCBB 0.01194,204
 89  A*31:01:02-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.011223,595
 90  A*02:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.01081,510
 91  A*11:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.010423,595
 92  A*23:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 93  A*26:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.008711,446
 94  A*03:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.00855,849
 95  A*26:01:40-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002623,595
 96  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.0023185,391
 97  A*29:02:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 98  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP African 0.000114028,557

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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