Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 2,622) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 27  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*35:01-C*04:01  Mexico Oaxaca Zapotec 16.700090
 2  B*35:01-C*04:01  USA North American Native 9.1000187
 3  B*35:01-C*04:01  Mali Bandiagara 7.7000138
 4  B*35:01-C*04:01  Mexico Oaxaca Mixe 7.700055
 5  B*35:01-C*04:01  USA Caucasian pop 2 6.4000265
 6  B*35:01-C*04:01  USA Hispanic 5.6000234
 7  B*35:01-C*04:01  USA Alaska Yupik 5.3000252
 8  B*35:01-C*04:01  Mexico Mexico City Mestizo population 5.2448143
 9  B*35:01-C*04:01  Ireland Northern 5.20001,000
 10  B*35:01-C*04:01  USA Hispanic pop 2 5.15501,999
 11  A*68:01-B*35:01-C*04:01-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 5.0000150
 12  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*04:07  Costa Rica Amerindians (G) 4.9567125
 13  B*35:01-C*04:01  Italy pop 5 4.8500975
 14  A*24:02:01-B*35:01/35:02/35:03-C*04:01:01  Mexico Chihuahua Tarahumara 4.600044
 15  B*35:01-C*04:01  USA African American pop 4 4.42802,411
 16  B*35:01-C*04:01  USA African American 4.1000252
 17  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 4.0457192
 18  B*35:01-C*04:01  Tunisia 4.0000100
 19  A*02:01-B*35:01-C*04:01  Italy pop 5 3.5500975
 20  A*02:01:01/02:01:09-B*35:01/35:02/35:03-C*04:01:01  Mexico Chihuahua Tarahumara 3.400044
 21  A*23:01-B*35:01-C*04:01  Mali Bandiagara 3.4000138
 22  B*35:01-C*04:01  Mexico Mexico City Mestizo pop 2 3.2000234
 23  A*24:02:01-B*35:01:01-C*04:01:01  South African Indian population 3.000050
 24  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 2.941268
 25  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 2.777872
 26  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 2.57951,510
 27  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 2.5210119
 28  A*03:01-B*35:01-C*04:01-DRB1*01:01  Russia Bering Island Aleuts 2.4038104
 29  A*24:02-B*35:01-C*04:01  China Guizhou Province Miao pop 2 2.400085
 30  A*02:04-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 31  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Black 2.381073
 32  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*17:01:01  Brazil Barra Mansa Rio State Black 2.381073
 33  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Iran Gorgan 2.340064
 34  A*11:01-B*35:01-C*04:01-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Puyanawa 2.3333150
 35  A*11:01-B*35:01-C*04:01  Ireland Northern 2.20001,000
 36  B*35:01-C*04:01  Uganda Kampala 2.2000161
 37  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Netherlands minority 2.18401,374
 38  B*35:01-C*04:01  USA Asian pop 2 2.13401,772
 39  A*24:02-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 2.127747
 40  A*24:02-B*35:01-C*04:01-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 2.127747
 41  A*24:02-B*35:01-C*04:01-DRB1*14:06-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 2.127747
 42  B*35:01-C*04:01  Kenya Luo 2.1000265
 43  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 1.88471,075
 44  B*35:01-C*04:01-DRB1*01:03-DQB1*05:01  Ireland South 1.8000250
 45  A*11:01-B*35:01-C*04:01-DRB1*01:01  Brazil Vale do Ribeira Quilombos 1.7361144
 46  A*66:03-B*35:01-C*04:01-DRB1*11:01  Brazil Vale do Ribeira Quilombos 1.7361144
 47  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Iran Baloch 1.7000100
 48  A*02:01:01-B*35:01:01-C*04:01-DRB1*01:01  South Africa Caucasians 1.6700102
 49  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 1.6290221
 50  A*24:14-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 1.6055218
 51  A*03:01-B*35:01-C*04:01  USA San Francisco Caucasian 1.6000220
 52  A*24:02-B*35:01-C*04:01  USA North American Native 1.6000187
 53  B*35:01-C*04:01  India Mumbai Maratha 1.600091
 54  B*35:01-C*04:01  USA Asian 1.6000358
 55  A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Iran Gorgan 1.560064
 56  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany pop 6 1.54008,862
 57  A*03:01-B*35:01-C*04:01  USA Caucasian pop 2 1.5000265
 58  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01  Costa Rica African -Caribbean (G) 1.4706102
 59  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 60  A*33:01:01-B*35:01:01-C*04:01:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Black 1.470668
 61  A*03:01-B*35:01-C*04:01  Italy pop 5 1.4300975
 62  A*11:01-B*35:01-C*04:01  Ireland South 1.4000250
 63  B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.3986143
 64  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 65  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 66  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 67  A*02:01:01-B*35:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 1.3511519
 68  A*11:01-B*35:01-C*04:01  Italy pop 5 1.3300975
 69  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 1.3072153
 70  A*02:01-B*35:01-C*04:01  USA North American Native 1.3000187
 71  A*11:01-B*35:01-C*04:01  USA Caucasian pop 2 1.3000265
 72  B*35:01-C*04:01  Kenya Nandi 1.3000240
 73  A*03:01:01-B*35:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 1.2973519
 74  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Romania minority 1.29001,234
 75  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:05:04  Costa Rica Amerindians (G) 1.2239125
 76  A*03:01-B*35:01-C*04:01-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 1.2100124
 77  A*02:01-B*35:01-C*04:01  Mali Bandiagara 1.2000138
 78  A*03:01-B*35:01-C*04:01  Ireland Northern 1.20001,000
 79  A*24:02-B*35:01-C*04:01  Ireland South 1.2000250
 80  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 1.1790356
 81  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.1765170
 82  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 1.15021,075
 83  A*11:01:01-B*35:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 1.1335519
 84  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - United Kingdom minority 1.13201,043
 85  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 1.12381,075
 86  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 1.12121,242,890
 87  A*11:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 1.11401,028
 88  A*11:01:01-B*35:01:01-C*04:01-DRB1*07:01  South Africa Caucasians 1.1100102
 89  A*02:01-B*35:01-C*04:01  USA Caucasian pop 2 1.1000265
 90  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Iran Baloch 1.1000100
 91  A*11:01-B*35:01-C*04:01  USA San Francisco Caucasian 1.1000220
 92  A*24:02-B*35:01-C*04:01  USA Caucasian pop 2 1.1000265
 93  A*74:01-B*35:01-C*04:01  Kenya Luo 1.1000265
 94  A*11:01-B*35:01-C*04:01-DRB1*01:01  USA Italy Ancestry 1.0990273
 95  A*03:01-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 1.094620,653
 96  A*02:01-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 97  A*02:06-B*35:01-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 98  A*02:06-B*35:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 99  A*24:02-B*35:01-C*04:01-DRB1*04:10-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 100  A*31:01-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847

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 2,622) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 27  


   

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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