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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 216) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 1.9048103
 2  A*02-B*38-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 3  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Mexico City West 1.470633
 4  A*29-B*38-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 1.470634
 5  A*26-B*38-DRB1*04:02-DQB1*03:02  Bolivia Quechua 1.450069
 6  A*02-B*38-DRB1*04-DQB1*03:02  Mexico Hidalgo, Pachuca 1.219541
 7  A*02:01-B*38:01-C*12:03-DRB1*04:02-DQA1*03:01-DQB1*03:02  Kosovo 1.2100124
 8  A*26-B*38-DRB1*04:02-DQB1*03:02  Macedonia pop 3 1.2000172
 9  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Queretaro Rural 1.162843
 10  A*02-B*38-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 1.149487
 11  A*26-B*38-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 1.149487
 12  A*24-B*38-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 1.111145
 13  A*24-B*38-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 1.040048
 14  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.8403119
 15  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Yucatan, Merida 0.7692192
 16  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Chihuahua Rural 0.6276236
 17  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.6250396
 18  A*02-B*38-DRB1*04-DQB1*03:02  Mexico Morelos, Cuernavaca 0.609882
 19  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Tabasco, Villahermosa 0.609882
 20  A*24:02-B*38:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 21  A*24-B*38-DRB1*04-DQB1*03:02  Mexico Zacatecas, Zacatecas city 0.595284
 22  A*01-B*38-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 0.574787
 23  A*23:01-B*38:01-DRB1*04:04-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 24  A*11-B*38-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 0.515597
 25  A*02-B*38-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.5076197
 26  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  Vietnam Kinh 0.4950101
 27  A*01:01-B*38:01-C*12:03-E*01:03:01-F*01:01:01-G*01:06-DRB1*04:02-DQA1*01:03-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 28  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQA1*03:01-DQB1*03:02-DPB1*04:01  Nicaragua Managua 0.4329339
 29  B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4300234
 30  A*03-B*38-DRB1*04-DQB1*03:02  Mexico Chihuahua Rural 0.4184236
 31  A*68:01:01:02-B*38:01:01-C*06:02:01:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 32  A*03:01-B*38:01-C*12:03-DRB1*04:02-DQA1*03:01-DQB1*03:02  Kosovo 0.4030124
 33  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 34  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 0.3717266
 35  A*24-B*38-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 0.3521142
 36  A*68:03-B*38:01-C*07:02-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 37  B*38:01-C*07:02-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 38  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02-DPB1*04:01  Russia Karelia 0.34181,075
 39  A*02-B*38-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.3311150
 40  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.3311150
 41  A*68-B*38-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 0.3311151
 42  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 43  A*03-B*38-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.3247152
 44  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.3058326
 45  A*02-B*38-DRB1*04-DQB1*03:02  Mexico Jalisco, Zapopan 0.2976168
 46  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.2907171
 47  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  USA Hispanic pop 2 0.28101,999
 48  A*31-B*38-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 0.2762181
 49  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Colombia Bogotá Cord Blood 0.26801,463
 50  A*11:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 51  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 52  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:03:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 53  A*11:02-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 54  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.2560585
 55  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.2538197
 56  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.253423,595
 57  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.24304,856
 58  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 59  A*03:02:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 60  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 61  A*32:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 62  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.22551,994
 63  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*35:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 64  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 65  A*68:02:01-B*38:01:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 66  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.1848539
 67  A*02:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.17801,772
 68  A*03:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 69  A*68:01-B*38:02-C*01:02-DRB1*04:01-DQB1*03:02  India Northeast UCBB 0.1689296
 70  A*74:02-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02  India Northeast UCBB 0.1689296
 71  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.16751,189
 72  A*24-B*38-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.1433348
 73  A*68-B*38-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.1433348
 74  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.13251,510
 75  A*02-B*38-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.1250396
 76  A*29-B*38-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.1250396
 77  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.1205830
 78  A*26:01-B*38:01-C*12:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Russia Karelia 0.12041,075
 79  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.1136439
 80  A*02:01-B*38:01-C*03:03-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 0.11291,075
 81  A*03:01-B*38:01-C*12:03-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 0.11151,075
 82  A*02:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Colombia Bogotá Cord Blood 0.10801,463
 83  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 84  A*26:01-B*38:01-C*12:03-DRB1*04:01-DQB1*03:02  Colombia Bogotá Cord Blood 0.10251,463
 85  A*24:02:01:01-B*38:01:01-C*12:03:01:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 86  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 87  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02-DPB1*02:01  Russia Karelia 0.09681,075
 88  A*03:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.09404,856
 89  A*30-B*38-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.0924539
 90  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.08651,734
 91  A*26:01-B*38:01-C*12:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.08601,159
 92  A*01-B*38-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.0853585
 93  A*68-B*38-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.0853585
 94  A*24-B*38-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.08381,189
 95  A*26-B*38-DRB1*04:02-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 96  A*26:01-B*38:01-C*12:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 97  A*24-B*38-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.0664751
 98  A*25-B*38-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.0664751
 99  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.0664751
 100  A*30-B*38-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.0664751

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 216) records   Pages: 1 2 3 of 3  


   

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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