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 167) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*57:01-C*06:02-DRB1*04:02-DQA1*03:01-DQB1*03:02  Morocco Atlantic Coast Chaouya 2.100098
 2  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Baja California, Tijuana 2.000025
 3  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 1.4370174
 4  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Morelos, Cuernavaca 1.219582
 5  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Queretaro Rural 1.162843
 6  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:04:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 1.1312221
 7  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 1.1050181
 8  A*24-B*57-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 1.040048
 9  A*24-B*57-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.8403119
 10  A*66-B*57-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.8264121
 11  A*30-B*57-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.6494152
 12  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Hidalgo Rural 0.617381
 13  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 0.5576266
 14  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 15  A*24-B*57-DRB1*04-DQA1*03-DQB1*03:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 16  A*03:01-B*57:01-C*04:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*04:02-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 17  A*24:02-B*57:01-C*06:02-DRB1*04:02-DQA1*03:01-DQB1*03:02  Kosovo 0.4030124
 18  A*01:01-B*57:01-C*06:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.3501714
 19  A*02-B*57-DRB1*04-DQB1*03:02  Mexico Guerrero state 0.3472144
 20  A*01:01-B*57:01-C*06:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.33972,492
 21  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 0.3289150
 22  A*01:01:01-B*57:01:01-C*04:01:01-DRB1*04:03:01-DQA1*02:01:01-DQB1*03:02-DPA1*02:01:01-DPB1*13:01:01  Russia Belgorod region 0.3268153
 23  A*66-B*57-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.3067162
 24  A*01:23-B*57:01-C*06:02-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  South Africa Worcester 0.3000159
 25  A*03-B*57-DRB1*04-DQB1*03:02  Mexico Veracruz, Xalapa 0.2674187
 26  A*02:01-B*57:01-C*06:02-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.2600496
 27  A*01:01-B*57:01-C*06:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.227911,446
 28  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*04:04:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 29  A*01:01-B*57:01:01-C*06:02-DRB1*04:03:01-DQB1*03:02:01  England North West 0.2000298
 30  A*02:01-B*57:01:01-C*06:02-DRB1*04:01:01-DQB1*03:02:01  England North West 0.2000298
 31  A*24:02-B*57:02-C*14:02-DRB1*04:05-DQB1*03:02-DPB1*03:01  Panama 0.1900462
 32  A*30-B*57-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.1807830
 33  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.16751,189
 34  A*01:01-B*57:03-C*07:181-DRB1*04:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.1597336
 35  A*01:03-B*57:02-C*06:02-DRB1*04:05-DQB1*03:02-DPB1*124:01  Tanzania Maasai 0.1597336
 36  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.1529326
 37  A*02:01-B*57:02-DRB1*04:01-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 38  A*03-B*57-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.1433348
 39  A*02:01:01-B*57:01:01-C*03:02:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 40  A*02:06:01-B*57:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 41  A*66:01-B*57:01-C*06:02-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 42  A*30-B*57-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.1328751
 43  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.1250396
 44  A*01-B*57-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.1214824
 45  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Oaxaca Rural 0.1027485
 46  A*02-B*57-DRB1*04-DQB1*03:02  Mexico Oaxaca Rural 0.1027485
 47  A*01:01-B*57:01-C*06:02-DRB1*04:02-DQB1*03:02  Colombia Bogotá Cord Blood 0.10251,463
 48  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.0853585
 49  A*01-B*57-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.08531,173
 50  A*02-B*57-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.07521,994
 51  A*68-B*57-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.07521,994
 52  A*01:01-B*57:01-C*06:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.07492,403
 53  A*02:03-B*57:01-C*06:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 54  A*02:06-B*57:01-C*06:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 55  A*01:01-B*57:01-C*06:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.06704,856
 56  A*02-B*57-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.0664751
 57  A*02:01-B*57:01-C*06:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.066211,446
 58  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.0602830
 59  A*01:01-B*57:01-C*06:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.06004,856
 60  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.0600833
 61  A*11-B*57-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.0600833
 62  A*01:01-B*57:01-C*06:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.05844,204
 63  A*01:01-B*57:01-C*06:02-DRB1*04:02-DQB1*03:02-DPB1*02:01  Russia Karelia 0.05651,075
 64  A*26:01-B*57:01-C*06:02-DRB1*04:04-DQB1*03:02-DPB1*06:01  Russia Karelia 0.05561,075
 65  A*02:11-B*57:01-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 66  A*01-B*57-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.05011,994
 67  A*30:02-B*57:03-C*18:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 68  A*01:01-B*57:01-C*07:01-DRB1*04:02-DQB1*03:02  USA Asian pop 2 0.04401,772
 69  A*02:05-B*57:01-C*06:02-DRB1*04:05-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 70  A*02:05-B*57:01-C*06:17-DRB1*04:05-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 71  A*01:01-B*57:01-C*06:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.042911,446
 72  A*01:01-B*57:01-C*06:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.042711,446
 73  A*11-B*57-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.04191,189
 74  A*01:01-B*57:01-C*06:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.04104,856
 75  A*01:01-B*57:01-C*06:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 76  A*01:01-B*57:01-C*07:01-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 77  A*01:01-B*57:01-C*06:02-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 78  A*01:01-B*57:01-C*06:02-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 79  A*02:01-B*57:01-C*06:02-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 80  A*02:01-B*57:03-C*07:01-DRB1*04:05-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 81  A*11:01-B*57:01-C*07:01-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 82  A*31:01-B*57:01-C*06:02-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 83  A*68:01:02:02-B*57:01:01-C*06:02:01:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 84  A*11:01-B*57:01-C*06:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.033011,446
 85  A*24:02-B*57:01-C*06:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.032911,446
 86  A*24:07-B*57:01-C*06:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.03232,403
 87  A*01:01-B*57:01-C*06:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.03145,829
 88  A*01:01-B*57:01-C*06:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.03075,829
 89  A*01:01-B*57:01-C*06:02-DRB1*04:02-DQB1*03:02  India West UCBB 0.02915,829
 90  A*24-B*57-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.02511,994
 91  A*30-B*57-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.02511,994
 92  A*01:01-B*57:01-C*06:02-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.02382,492
 93  A*01:01-B*57:01-C*06:02-DRB1*04:02-DQB1*03:02  India Tamil Nadu 0.02382,492
 94  A*02:01-B*57:01-C*06:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.02304,856
 95  A*01:01-B*57:01-C*06:02-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.02263,456,066
 96  A*02:01-B*57:01-C*06:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02102,492
 97  A*01:01-B*57:01-C*06:02-DRB1*04:01-DQB1*03:02  India East UCBB 0.02082,403
 98  A*01:01-B*57:01-C*06:35-DRB1*04:03-DQB1*03:02  India East UCBB 0.02082,403
 99  A*33:03-B*57:01-C*06:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02042,492
 100  A*31:01-B*57:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492

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 167) 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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