Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,016) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30:02-B*35:01:01-DRB1*10:01  Cape Verde Northwestern Islands 5.600062
 2  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*04:07  Costa Rica Amerindians (G) 4.9567125
 3  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
 4  A*24:02:01-B*35:01:01-C*03:04:01-DRB1*14:02  Costa Rica Amerindians (G) 3.6695125
 5  A*02:01:01-B*35:01:01-DRB1*11:02  Guinea Bissau 3.100065
 6  A*24:02:01-B*35:01:01-C*04:01:01  South African Indian population 3.000050
 7  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
 8  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
 9  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
 10  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
 11  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
 12  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
 13  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
 14  A*02:01:01-B*35:01:01-DRB1*13:02:01  Guinea Bissau 2.300065
 15  A*02:02-B*35:01:01-DRB1*10:01  Guinea Bissau 2.300065
 16  A*02:01:01-B*35:01:01-DRB1*01:01  Portugal North 2.200046
 17  A*03:01:01-B*35:01:01-DRB1*01:01  Portugal North 2.200046
 18  A*03:01:01-B*35:01:01-DRB1*01:01  Portugal South 2.000049
 19  A*11:01:01-B*35:01:01-DRB1*01:01  Portugal South 2.000049
 20  A*11:01:01-B*35:01:01-DRB1*11:01:01  Portugal South 2.000049
 21  A*02:01:01-B*35:01:01  Mexico Guadalajara Mestizo pop 2 1.9000103
 22  A*24:02:01-B*35:01:01  Mexico Guadalajara Mestizo pop 2 1.9000103
 23  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Iran Baloch 1.7000100
 24  A*02:01:01-B*35:01:01-C*04:01-DRB1*01:01  South Africa Caucasians 1.6700102
 25  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
 26  A*01:01:01-B*35:01:01-DRB1*03:01:01  Cape Verde Southeastern Islands 1.600062
 27  A*02:01:01-B*35:01:01-DRB1*11:01:01  Cape Verde Northwestern Islands 1.600062
 28  A*02:02-B*35:01:01-DRB1*11:02  Cape Verde Southeastern Islands 1.600062
 29  A*11:01:01-B*35:01:01-DRB1*01:01  Cape Verde Northwestern Islands 1.600062
 30  A*68:01:01-B*35:01:01-DRB1*04:05:01  Cape Verde Northwestern Islands 1.600062
 31  A*01:01:01-B*35:01:01-DRB1*07:01:01  Portugal Center 1.500050
 32  A*03:01:01-B*35:01:01-DRB1*04:05:01  Guinea Bissau 1.500065
 33  A*68:02-B*35:01:01  Mexico Guadalajara Mestizo pop 2 1.5000103
 34  A*68:03:02-B*35:01:01  Mexico Guadalajara Mestizo pop 2 1.5000103
 35  A*74:01-B*35:01:01-DRB1*10:01  Guinea Bissau 1.500065
 36  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01  Costa Rica African -Caribbean (G) 1.4706102
 37  A*03:01:01-B*35:01:01-C*07:02:01-DRB1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 38  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
 39  A*31:01:02-B*35:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 40  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
 41  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
 42  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
 43  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
 44  A*02:06:01-B*35:01:01-C*07:02:01-DRB1*04:11:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 1.3575221
 45  A*02:01:01-B*35:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 1.3511519
 46  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
 47  A*03:01:01-B*35:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 1.2973519
 48  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:05:04  Costa Rica Amerindians (G) 1.2239125
 49  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
 50  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
 51  A*11:01:01-B*35:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 1.1335519
 52  A*11:01:01-B*35:01:01-C*04:01-DRB1*07:01  South Africa Caucasians 1.1100102
 53  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Iran Baloch 1.1000100
 54  A*11:01:01-B*35:01:01-DRB1*13:01:01  Portugal North 1.100046
 55  A*32:01-B*35:01:01-DRB1*15:01:01  Portugal North 1.100046
 56  A*11:01:01-B*35:01:01-C*03:04:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 57  A*11:01:01-B*35:01:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 58  B*35:01:01-C*03:04:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 59  B*35:01:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 60  A*02:01:01-B*35:01:01-DRB1*04:04  Portugal Center 1.000050
 61  A*02:11:01-B*35:01:01-C*04:01:01  South African Indian population 1.000050
 62  A*03:01:01-B*35:01:01-DRB1*04:08  Portugal Center 1.000050
 63  A*03:01:01-B*35:01:01-DRB1*11:01:01  Portugal South 1.000049
 64  A*11:01:01-B*35:01:01-C*04:01:01  South African Indian population 1.000050
 65  A*11:01:01-B*35:01:01-DRB1*11:02  Portugal South 1.000049
 66  A*11:01:01-B*35:01:01-DRB1*14:01:01  Portugal South 1.000049
 67  A*11:10-B*35:01:01-DRB1*01:01  Portugal South 1.000049
 68  A*24:02:01-B*35:01:01-DRB1*04:01:01  Portugal Center 1.000050
 69  A*25:01:01-B*35:01:01-C*01:02:01  South African Mixed ancestry 1.000050
 70  A*29:02-B*35:01:01-DRB1*13:02:01  Portugal South 1.000049
 71  A*30:02-B*35:01:01-DRB1*03:01:01  Portugal South 1.000049
 72  A*32:01-B*35:01:01-DRB1*01:03  Portugal South 1.000049
 73  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Vietnam Kinh 0.9900101
 74  A*11:01:01-B*35:01:01  China Jingpo Minority 0.9900105
 75  A*11:01:01-B*35:01:01-C*03:04:01  China Jingpo Minority 0.9900105
 76  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*09:01:02  Costa Rica African -Caribbean (G) 0.9804102
 77  B*35:01:01-C*03:04:01  China Jingpo Minority 0.9800105
 78  A*68:03:01-B*35:01:01-C*07:02:01-DRB1*04:07  Nicaragua Mestizo (G) 0.9677155
 79  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 80  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.9050221
 81  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*03:01:01  Russian Federation Vologda Region 0.8403119
 82  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01  Costa Rica Amerindians (G) 0.8159125
 83  A*02:22:01-B*35:01:01-C*04:01:01-DRB1*04:05:04  Costa Rica Amerindians (G) 0.8065125
 84  A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.7812192
 85  A*74:01:01-B*35:01:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.7040142
 86  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.7020356
 87  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 88  A*02:01:01-B*35:01:01-C*03:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 89  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 90  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 91  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 92  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 93  A*02:01:01-B*35:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 94  A*11:01:01-B*35:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 95  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 96  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 97  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*04:11:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 98  A*31:01:02-B*35:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 99  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 100  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472

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 1,016) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  


   

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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