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 1,888) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*35-DRB1*13  Pakistan Kalash 7.900069
 2  A*02-B*35-DRB1*13:04-DQB1*03:01  Colombia San Basilio de Palenque 4.762042
 3  A*33:03-B*35:03-DRB1*13:01  China Yunnan Province Wa 4.6000119
 4  A*03:02-B*35:08-DRB1*13:05  Israel Georgia Jews 3.69004,471
 5  A*03-B*35-DRB1*13:01-DQB1*06:03  Colombia San Basilio de Palenque 3.571042
 6  A*02-B*35-DRB1*13:03-DQB1*03:01  Colombia San Basilio de Palenque 2.381042
 7  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
 8  A*11:01-B*35:01-DRB1*13:01  Malaysia Kedah Kensiu 2.380021
 9  A*03:02-B*35:01-DRB1*13:05  Israel Georgia Jews 2.32004,471
 10  A*02:01:01-B*35:01:01-DRB1*13:02:01  Guinea Bissau 2.300065
 11  A*24:02-B*35:03-DRB1*13:01  Malaysia Mandailing 1.851927
 12  A*24-B*35-DRB1*13-DQA1*05-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.7900112
 13  A*33:03-B*35:03-DRB1*13:01  Malaysia Kelantan 1.785728
 14  A*24:02-B*35:03-DRB1*13:01  Malaysia Champa 1.724129
 15  A*01-B*35-DRB1*13-DQB1*03:01  Mexico Jalisco, Tlajomulco 1.666730
 16  A*01-B*35-DRB1*13-DQB1*03:01  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 17  A*24-B*35-DRB1*13-DQB1*06  Mexico Jalisco, Tlajomulco 1.666730
 18  A*02-B*35-DRB1*13-DQB1*06  Mexico Mexico City West 1.470633
 19  A*66:01:01-B*35:03:01-C*04:01:01-DRB1*13:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Black 1.470668
 20  B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 21  A*02-B*35-DRB1*13-DQB1*06  Mexico Coahuila, Saltillo 1.369972
 22  A*02-B*35-DRB1*13  Brazil Parana Mixed race 1.3000186
 23  A*26:05-B*35:01-DRB1*13:01  Azores Oriental Islands 1.300043
 24  A*01:01-B*35:02-DRB1*13:03  Gaza 1.282042
 25  A*11:01-B*35:01-DRB1*13:02  Gaza 1.282042
 26  A*24:02-B*35:02-DRB1*13:03  Gaza 1.282042
 27  A*33:03-B*35:08-DRB1*13:03  Gaza 1.282042
 28  A*26:01-B*35:08-DRB1*13:03  Israel Georgia Jews 1.22004,471
 29  A*68-B*35-DRB1*13-DQB1*06:02  Cuba Mixed 1.200078
 30  A*11-B*35-DRB1*13-DQB1*06  Mexico Queretaro Rural 1.162843
 31  A*23-B*35-DRB1*13-DQB1*06  Mexico Colima Rural 1.136443
 32  A*02-B*35-DRB1*13  Greece North 1.1000500
 33  A*02-B*35-DRB1*13  Brazil Parana Cafuzo 1.1000319
 34  A*11:01:01-B*35:01:01-DRB1*13:01:01  Portugal North 1.100046
 35  A*24-B*35-DRB1*13:01  Colombia Barranquilla 1.0600188
 36  A*31-B*35-DRB1*13-DQB1*03:01  Mexico Aguascalientes state 1.052695
 37  B*35-DRB1*13  Macedonia 1.0490286
 38  A*68-B*35-DRB1*13-DQB1*06  Mexico Quintana Roo, Cancun 1.041748
 39  A*02:01:01-B*35:02-DRB1*13:02:01  Portugal Center 1.000050
 40  A*24:02:01-B*35:02-DRB1*13:03:02  Portugal South 1.000049
 41  A*24-B*35-DRB1*13-DQB1*06  Mexico Baja Californa, Mexicali 1.0000100
 42  A*29:02-B*35:01:01-DRB1*13:02:01  Portugal South 1.000049
 43  A*66:01-B*35:02-DRB1*13:02:01  Portugal Center 1.000050
 44  A*01:01-B*35:05-C*07:02-DRB1*13:02-DQB1*05:01  Colombia North Wiwa El Encanto 0.961552
 45  A*02-B*35-DRB1*13-DQB1*06  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 46  A*03-B*35-DRB1*13-DQB1*06  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 47  A*03-B*35-DRB1*13-DQB1*06  Mexico Zacatecas Rural 0.9294266
 48  A*30-B*35-DRB1*13-DQB1*03:01  Mexico Veracruz, Coatzacoalcos 0.892955
 49  A*02-B*35-DRB1*13-DQA1*05-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 50  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.8620174
 51  A*01:02-B*35:27-DRB1*13:02-DQB1*06:04  Iran Saqqez-Baneh Kurds 0.833360
 52  A*02:61-B*35:01-DRB1*13:01-DQB1*06:03  Iran Saqqez-Baneh Kurds 0.833360
 53  A*68-B*35-DRB1*13:01-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 54  A*01-B*35-DRB1*13-DQB1*06  Mexico Colima, Colima city 0.819761
 55  A*11-B*35-DRB1*13-DQB1*06  Mexico Colima, Colima city 0.819761
 56  A*01-B*35-DRB1*13  Iraq Erbil 0.8000372
 57  A*02-B*35-DRB1*13-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.7900127
 58  A*11-B*35-DRB1*13-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 0.7900127
 59  A*24-B*35-C*04-DRB1*13  Macedonia MBMDR - Albanian 0.7812128
 60  A*01:02-B*35:01-C*14:02-DRB1*13:02-DQB1*03:07  Iran Gorgan 0.780064
 61  A*68:01-B*35:01-C*03:03-DRB1*13:08-DQB1*05:03  Iran Gorgan 0.780064
 62  A*68:03-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 63  A*02-B*35-DRB1*13  Germany pop 7 0.700013,386
 64  A*03-B*35-DRB1*13  Germany pop 7 0.700013,386
 65  A*02-B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 66  A*23-B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 67  A*02-B*35-DRB1*13-DQB1*03:01  Mexico Coahuila, Saltillo 0.684972
 68  A*03-B*35-DRB1*13-DQB1*06  Mexico Coahuila, Saltillo 0.684972
 69  A*11-B*35-C*04-DRB1*13-DQB1*06  Albania pop 2 0.6800432
 70  A*03:01:01-B*35:08:01-C*04:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.6787221
 71  A*03-B*35-DRB1*13-DQB1*02  Iraq Arabs 0.6700149
 72  A*32-B*35-DRB1*13-DQB1*06  Iraq Arabs 0.6700149
 73  A*11-B*35-C*04:01-DRB1*13:01-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 74  A*32-B*35-C*01:02-DRB1*13:01-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 75  A*02-B*35-DRB1*13-DQB1*06  Mexico Baja California, La Paz 0.666775
 76  A*24-B*35-DRB1*13-DQB1*06  Mexico Baja California, La Paz 0.666775
 77  A*31:04-B*35:01-C*15:05-DRB1*13:02-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.6390336
 78  A*03-B*35-C*04-DRB1*13  Macedonia MBMDR - Macedonian 0.62021,283
 79  A*24-B*35-DRB1*13-DQB1*06  Mexico Morelos, Cuernavaca 0.609882
 80  A*32-B*35-DRB1*13-DQB1*06  Mexico Tabasco, Villahermosa 0.609882
 81  A*02-B*35-DRB1*13  Iraq Erbil 0.6000372
 82  A*03-B*35-DRB1*13  Iraq Erbil 0.6000372
 83  A*11-B*35-DRB1*13  Iraq Erbil 0.6000372
 84  A*02:01-B*35:01-DRB1*13:01-DQB1*06:03  Mexico Veracruz Xalapa 0.595284
 85  A*11-B*35-DRB1*13-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 86  A*24-B*35-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.5952168
 87  A*68-B*35-DRB1*13-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 88  A*68-B*35-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.5952168
 89  A*29:02:01-B*35:01:01-C*16:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 90  A*32:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.5750174
 91  A*24:02-B*35:01-DRB1*13:03-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 92  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.5620356
 93  A*02-B*35-DRB1*13-DQB1*06  Mexico Zacatecas Rural 0.5576266
 94  A*33:03:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.5376186
 95  A*32:01-B*35:08-DRB1*13:05  Israel Iraq Jews 0.535013,270
 96  A*03-B*35-DRB1*13-DQB1*06  Mexico Aguascalientes state 0.526395
 97  A*30-B*35-DRB1*13-DQB1*06  Mexico Aguascalientes state 0.526395
 98  B*35:01-DRB1*13:01  Italy pop 5 0.5200975
 99  A*01:01-B*35:01-DRB1*13:02-DQB1*06:04  Iran Tabriz Azeris 0.515597
 100  A*02-B*35-DRB1*13-DQB1*03:01  Mexico Nayarit, Tepic 0.515597

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 1,888) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  


   

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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