Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 141) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 2  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 1.1312221
 3  A*02:01-B*44:02-C*05:01-E*01:03:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.8772130
 4  A*02:01-B*44:02-C*05:01-DRB1*13:01:01-DQB1*06:03:01  England North West 0.8000298
 5  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.7782521
 6  A*03:01-B*44:02-C*05:01-DRB1*13:01-DRB3*01:01-DQB1*06:03  USA NMDP Korean 0.607177,584
 7  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.5210496
 8  A*23:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 9  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 10  A*02:01-B*44:02-C*05:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 11  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.43101,159
 12  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.401023,595
 13  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 14  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.37301,999
 15  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA NMDP Alaska Native or Aleut 0.36831,376
 16  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA NMDP American Indian South or Central America 0.35575,926
 17  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 18  A*68:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQA1*01:02:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 19  A*31:01:02-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 20  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.30804,335
 21  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Italy pop 5 0.2900975
 22  A*03:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Italy pop 5 0.2900975
 23  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.27801,510
 24  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.27231,075
 25  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.26141,463
 26  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 27  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 28  A*33:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 29  A*34:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 30  A*80:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 31  A*30:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*02:02-DPB1*01:01  Mexico Chiapas Lacandon Mayans 0.2294218
 32  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.222314,339
 33  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 34  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA NMDP Black South or Central American 0.19274,889
 35  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.18793,456,066
 36  A*03:01-B*44:02-C*05:01-DRB1*13:01-DRB3*01:01-DQB1*06:03  USA NMDP Japanese 0.178424,582
 37  A*03:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.13301,772
 38  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.11531,734
 39  A*26:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 40  A*32:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.10251,463
 41  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.09353,456,066
 42  A*03:01-B*44:02-C*05:01-DRB1*13:01-DRB3*01:01-DQB1*06:03  USA NMDP Chinese 0.076399,672
 43  A*01:01:01-B*44:02:01-C*05:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.0748221
 44  A*03:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.07104,856
 45  A*03:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 46  A*03:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 47  A*11:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.06841,463
 48  A*31:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.06841,463
 49  A*03:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 50  A*11:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 51  A*24:02-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 52  A*32:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 53  A*02:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.06701,510
 54  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.06323,456,066
 55  A*24:02-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.05681,075
 56  A*26:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.05651,075
 57  A*11:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.05325,849
 58  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.05043,456,066
 59  A*26:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 60  A*11:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.04554,204
 61  A*01:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.04401,772
 62  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 63  A*11:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.04401,772
 64  A*24:02-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.04404,856
 65  A*32:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.04012,492
 66  A*30:02-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03581,463
 67  A*03:01-B*44:02-C*05:01-DRB1*13:01-DRB3*01:01-DQB1*06:03  USA NMDP European Caucasian 0.03491,242,890
 68  A*30:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 69  A*03:01-B*44:02-C*05:01-DRB1*13:01-DRB3*01:01-DQB1*06:03  USA NMDP Mexican or Chicano 0.0340261,235
 70  A*68:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 71  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*13:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 72  A*02:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 73  A*02:01:01-B*44:02:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 74  A*03:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 75  A*31:01:02:01-B*44:02:01:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 76  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.030223,595
 77  A*02:06-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 78  A*11:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 79  A*11:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 80  A*24:02-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 81  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.029723,595
 82  A*01:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.02901,510
 83  A*11:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.028611,446
 84  A*01:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.02704,856
 85  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.024223,595
 86  A*03:01-B*44:02-C*05:01-DRB1*13:01-DRB3*01:01-DQB1*06:03  USA NMDP North American Amerindian 0.023535,791
 87  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.023311,446
 88  A*03:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.02123,456,066
 89  A*24:02-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02093,456,066
 90  A*03:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 91  A*03:01-B*44:02-C*05:01-DRB1*13:01-DRB3*01:01-DQB1*06:03  USA NMDP Hispanic South or Central American 0.0188146,714
 92  A*32:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.018511,446
 93  A*24:02-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01843,456,066
 94  A*32:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01743,456,066
 95  A*32:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.01725,829
 96  A*01:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.016823,595
 97  A*25:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.016323,595
 98  A*68:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.01515,849
 99  A*32:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.01413,456,066
 100  A*32:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.01383,456,066

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 141) 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.
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