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 12,573) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 126  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01-B*39:09-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 33.700073
 2  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 11.940367
 3  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Quintana Roo Rural 10.000050
 4  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Quintana Roo, Cancun 9.375048
 5  A*68-B*15-C*12-DRB1*15  Myanmar Chin 9.091055
 6  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Guanajuato, Guanajuato city 9.090922
 7  A*68-B*44  South Korea pop 8 9.00007,096
 8  A*68-B*39-DRB1*08-DQB1*04  Mexico Tamaulipas, Ciudad Victoria 8.695723
 9  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Yucatan Rural 8.2090132
 10  A*68:03-B*39:05-DRB1*04:07  Mexico Oaxaca Jamiltepec Mixtec 7.290096
 11  A*68:30-B*40:02:01-C*03:05-DRB1*16:02:01  Costa Rica Amerindians (G) 6.8548125
 12  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:07  Costa Rica Amerindians (G) 6.7860125
 13  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Tabasco, Villahermosa 6.707382
 14  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 6.557461
 15  A*68-B*39-DRB1*04:07-DQB1*03:02  Guatemala Mayan 6.4000132
 16  A*68:01-G*01:01  Ecuador Amerindians 6.349263
 17  A*68:03-B*39:45-DRB1*04:07  Mexico Mixtec 6.300097
 18  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 6.1983121
 19  A*68:01-B*39:09-DRB1*08:02-DQB1*04:02  Chile Mapuche 6.150066
 20  A*68:01-B*35:01-DRB1*04:07  Mexico Oaxaca Mixtec 6.0000103
 21  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 5.882434
 22  A*68-B*40:02-DRB1*14-DQB1*03:01  Mexico Campeche, Campeche city 5.882434
 23  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 5.8011181
 24  A*68:01-B*51:01  USA Alaska Yupik 5.7000252
 25  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 5.6338142
 26  A*68-B*27  Pakistan Kalash 5.600069
 27  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Guerrero state 5.5556144
 28  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Poza Rica 5.555645
 29  A*68:01-B*35:43-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Chimila Amerindians 5.319147
 30  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Campeche Rural 5.319147
 31  A*68-B*39-DRB1*04:07-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 5.230053
 32  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Quintana Roo, Cancun 5.208348
 33  A*68-B*39-DRB1*04:07-DQB1*03:02  Mexico Huasteca Region Teenek 5.200055
 34  A*68-B*40:02-DRB1*08-DQB1*04  Mexico San Luis Potosi Rural 5.172487
 35  A*68:01-B*35:01-C*04:01-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 5.0000150
 36  A*68:01-B*51:01-DRB1*11:01-DQB1*03:01  USA Alaska Yupik 5.0000252
 37  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*04:07  Costa Rica Amerindians (G) 4.9567125
 38  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 4.9419171
 39  A*68:01:01-B*40:06  India West Bhil 4.900050
 40  A*68:01:01-B*40:06-C*12:02:01  India West Bhil 4.900050
 41  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Yucatan, Merida 4.8718192
 42  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Yucatan, Merida 4.8718192
 43  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Oaxaca Rural 4.8255485
 44  A*68-B*15-DRB1*08:04-DQB1*03:01  Colombia San Basilio de Palenque 4.762042
 45  A*68-B*35-DRB1*04-DQB1*03:02  Guatemala, Guatemala City Mixed Ancestry 4.7200127
 46  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 4.717052
 47  A*68:01-B*40:02  USA Alaska Yupik 4.7000252
 48  A*68:02-B*53:01-DRB1*08:04  Sao Tome Island Angolar 4.700032
 49  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 4.687564
 50  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 4.6358151
 51  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 4.6211539
 52  A*68:01-B*51:02:01-C*08:01  Mexico Chihuahua Tarahumara 4.600044
 53  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato, Guanajuato city 4.545522
 54  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Coatzacoalcos 4.464355
 55  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 4.411834
 56  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 4.411834
 57  A*68-B*56-DRB1*11-DQB1*03:01  Mexico Tamaulipas, Ciudad Victoria 4.347823
 58  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Hidalgo Rural 4.321081
 59  A*68-B*15-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 4.170048
 60  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 4.1322121
 61  A*68:01-B*39:05-C*07:02-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.1284218
 62  A*68:01-B*40:08-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.1284218
 63  A*68:03-B*35:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.1284218
 64  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Yucatan Rural 4.1045132
 65  A*68:02-B*15:10  South Africa Natal Zulu 4.0000100
 66  A*68:02-G*01:01  Ecuador Amerindians 3.968363
 67  A*68-B*35-DRB1*04:04-DQB1*03:02  Bolivia La Paz Aymaras 3.930087
 68  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 3.850052
 69  A*68:01-B*51:01-DRB1*04:03-DQB1*03:02  Chile Mapuche 3.850066
 70  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Mexico City South 3.846252
 71  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 3.80761,994
 72  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 3.773652
 73  A*68:03-B*35:12-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 3.731367
 74  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Puebla Rural 3.7170833
 75  A*68-B*14-C*08-DRB1*15  Myanmar Shan 3.704054
 76  A*68-B*35-DRB1*08:01-DQB1*04:02  Russia Chuvash 3.700082
 77  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 3.6747830
 78  A*68-B*15-DRB1*01:02-DQB1*05:01  Colombia San Basilio de Palenque 3.571042
 79  A*68-B*35-DRB1*10:01-DQB1*05:01  Colombia San Basilio de Palenque 3.571042
 80  A*68-B*44-DRB1*15:03-DQB1*06:02  Colombia San Basilio de Palenque 3.571042
 81  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Xalapa 3.4759187
 82  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 3.4404218
 83  A*68:01-B*51:02:01-C*08:01-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 84  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Morelos Rural 3.333330
 85  A*68-B*39-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 3.333330
 86  A*68-B*40:02-DRB1*16-DQB1*03:01  Mexico San Luis Potosi, San Luis Potosi city 3.333330
 87  A*68-B*51-DRB1*01-DQB1*05  Mexico Morelos Rural 3.333330
 88  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Mexico City North 3.2537751
 89  A*68:01:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uro 3.2000105
 90  A*68:01:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 3.1800105
 91  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 3.1690142
 92  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 3.157995
 93  A*68:01-B*35:04-DRB1*14:02-DQB1*03:01  Chile Mapuche 3.080066
 94  A*68-B*40-DRB1*04:07-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 3.020053
 95  A*68:01:01-B*45:01-DRB1*04:05:01  Portugal Center 3.000050
 96  A*68:02-B*07:02-DRB1*13:01  Sao Tome Island Forro 3.000066
 97  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Quintana Roo Rural 3.000050
 98  A*68-B*35-DRB1*08-DQB1*04  Mexico Baja California Rural 3.000050
 99  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Baja California Rural 3.000050
 100  A*68-C*07  Venezuela Caracas Mestizo 3.000050

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 12,573) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 126  


   

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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