Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 150) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 1.0490143
 2  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 1.04801,159
 3  A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 1.0417192
 4  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Middle Eastern or North Coast of Africa 1.003270,890
 5  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.90404,856
 6  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA NMDP Caribean Indian 0.859714,339
 7  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Caribean Hispanic 0.7975115,374
 8  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Italy pop 5 0.7400975
 9  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.6993143
 10  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*14:01  Tanzania Maasai 0.6390336
 11  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.60501,999
 12  A*03:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*01:01  South Africa Worcester 0.6000159
 13  A*02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*126:01:01  Brazil Rio de Janeiro Parda 0.5882170
 14  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*02:01  Panama 0.5700462
 15  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Mexican or Chicano 0.4533261,235
 16  A*24:02:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 17  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Hispanic South or Central American 0.3827146,714
 18  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  India North UCBB 0.37365,849
 19  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP South Asian Indian 0.3732185,391
 20  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Southeast Asian 0.368627,978
 21  A*02:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 22  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.34204,335
 23  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*55:01  Tanzania Maasai 0.3195336
 24  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.319111,499
 25  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP European Caucasian 0.30961,242,890
 26  A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.26351,510
 27  A*11:01:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 28  A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 29  A*11:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 30  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 31  A*01:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.25901,159
 32  A*03:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.25901,159
 33  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*02:01  Russia Karelia 0.25251,075
 34  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  India West UCBB 0.23925,829
 35  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  India Central UCBB 0.23264,204
 36  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.20511,463
 37  A*29:01-B*35:02:01-C*04:01-DRB1*11:04:01-DQB1*03:01  England North West 0.2000298
 38  A*01:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*04:02  United Arab Emirates Pop 1 0.1869570
 39  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.1869570
 40  A*01:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.17804,856
 41  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA NMDP American Indian South or Central America 0.17055,926
 42  A*24:02:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.169228,927
 43  A*24:02:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.151623,595
 44  A*29:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.14404,856
 45  A*02:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.14101,159
 46  A*03:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.1402570
 47  A*32:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.1402570
 48  A*29:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Italy pop 5 0.1400975
 49  A*11:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 50  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA NMDP Black South or Central American 0.13474,889
 51  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA Asian pop 2 0.13301,772
 52  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP North American Amerindian 0.130235,791
 53  A*02:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.12104,856
 54  A*01:01:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.11311,510
 55  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*03:01  Russia Karelia 0.11291,075
 56  A*03:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.10804,856
 57  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.10773,456,066
 58  A*01:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.106923,595
 59  A*01:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 60  A*01:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.10251,463
 61  A*11:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.09804,856
 62  A*03:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.09701,999
 63  A*01:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 64  A*32:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.0876221
 65  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA African American pop 4 0.08702,411
 66  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*04:01  Russia Karelia 0.08521,075
 67  A*02:16-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 68  A*02:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 69  A*02:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 70  A*30:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 71  A*30:04-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.06204,856
 72  A*02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.061223,595
 73  A*03:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.06004,856
 74  A*02:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05651,075
 75  A*02:06-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05651,075
 76  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP African 0.056528,557
 77  A*11:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.05301,159
 78  A*26:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.05304,856
 79  A*26:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 80  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.04883,456,066
 81  A*26:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 82  A*01:03-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 83  A*11:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 84  A*29:01-B*35:02-C*04:01-DRB1*11:04-DQA1*03:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 85  A*32:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*02:01-DPB1*17:01  United Arab Emirates Pop 1 0.0467570
 86  A*03:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA Asian pop 2 0.04401,772
 87  A*32:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 88  A*11:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  India North UCBB 0.04295,849
 89  A*01:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  India North UCBB 0.03815,849
 90  A*01:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  India Central UCBB 0.03744,204
 91  A*02:05-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 92  A*32:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 93  A*68:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 94  A*31:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 95  A*32:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 96  A*68:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 97  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Chinese 0.033499,672
 98  A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 99  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.03233,456,066
 100  A*32:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.031423,595

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).


Displaying 1 to 100 (from 150) records   Pages: 1 2 of 2  


   

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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