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 22,293) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 223  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*35:12-C*04:01  Mexico Oaxaca Mixe 24.000055
 2  B*35-C*04  Mexico Tapachula, Chiapas Mestizo Population 20.138972
 3  A*24:02-B*35:43-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 19.230852
 4  B*35:01-C*04:01  Mexico Oaxaca Zapotec 16.700090
 5  B*35:12-C*04:01  Mexico Oaxaca Mixtec 16.0000103
 6  A*02-B*35-DRB1*04:07-DQB1*03:02  Mexico Huasteca Region Teenek 15.500055
 7  A*02:01-B*35:12-DRB1*08:02  Mexico Oaxaca Mixe 15.000055
 8  B*35:01-C*03:04  Mexico Oaxaca Mixtec 15.0000103
 9  A*24-B*35-C*04  Malaysia Negeri Sembilan Minangkabau 14.300034
 10  B*35-C*04  Macedonia 13.9860286
 11  A*02-B*35-DRB1*04:07-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 13.920053
 12  A*02:01-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uro 13.5000105
 13  A*02:01-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 13.4500105
 14  B*35-C*04  Pakistan Mixed Pathan 13.3000100
 15  A*24:07-B*35:05-DRB1*12:02  Malaysia Pahang Semai 13.160038
 16  B*35-C*04  Pakistan Brahui 12.5000104
 17  A*24-B*35:01-DRB1*04:07-DQA1*03-DQB1*03:02  Colombia Jaidukama 11.500039
 18  A*24-B*35-DRB1*12:02  Malaysia Sarawak Bidayuh 11.000050
 19  A*74-B*35-DRB1*10-DQB1*05  Mexico Tamaulipas, Ciudad Victoria 10.869623
 20  A*02-B*35-DRB1*04:07-DQB1*03:02  Guatemala Mayan 10.6000132
 21  A*02-B*35-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 10.448087
 22  B*35-C*04  Pakistan Baloch 10.300066
 23  B*35-C*04  Pakistan Burusho 10.200092
 24  A*02-B*35-DRB1*08:02-DQB1*04:02  Bolivia Quechua 10.050069
 25  A*02-B*35-DRB1*08-DQB1*04  Mexico Morelos, Cuernavaca 9.756182
 26  B*35-C*12:03  Pakistan Burusho 9.700092
 27  A*02-B*35-DRB1*04:07-DQA1*03-DQB1*03:02  Colombia Jaidukama 9.600039
 28  A*24-B*35:04-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 9.600039
 29  A*24-B*35:10-DRB1*16:02-DQA1*05:01-DQB1*03:01  Colombia Jaidukama 9.600039
 30  A*24:07-B*35:05-C*04:01-DRB1*12:02  China Yunnan Bulang 9.4000116
 31  A*02-B*35-DRB1*08-DQB1*04  Mexico San Luis Potosi Rural 9.195487
 32  B*35:01-C*04:01  USA North American Native 9.1000187
 33  A*24-B*35-DRB1*04-DQB1*03:02  Guatemala, Guatemala City Mixed Ancestry 9.0600127
 34  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 8.8028142
 35  A*24-B*35-C*04-DRB1*15-DQB1*05  Malaysia Negeri Sembilan Minangkabau 8.800034
 36  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Mexico City South 8.653852
 37  B*35-C*12:03  Pakistan Kalash 8.600069
 38  A*02-B*35-DRB1*08:02-DQB1*04:02  Guatemala Mayan 8.4000132
 39  A*02-B*35-C*12:03  Pakistan Kalash 7.900069
 40  A*02-B*35-DRB1*13  Pakistan Kalash 7.900069
 41  B*35-C*04  Pakistan Kalash 7.900069
 42  B*35-DRB1*11  Greece North 7.9000500
 43  A*24-B*35  Pakistan Burusho 7.800092
 44  A*24-B*35-DRB1*14:02-DQA1*05:01-DQB1*03:01  Colombia Jaidukama 7.700039
 45  B*35:01-C*04:01  Mexico Oaxaca Mixe 7.700055
 46  B*35:01-C*04:01  Mali Bandiagara 7.7000138
 47  B*35:01-DRB1*08:02  USA Alaska Yupik 7.7000252
 48  A*02-B*35-DRB1*08-DQB1*04  Mexico Hidalgo Rural 7.407481
 49  A*02-B*35-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 7.323260
 50  A*24:02-B*35:14-DRB1*16:02  Mexico Oaxaca Jamiltepec Mixtec 7.190096
 51  A*11-B*35-C*04  Pakistan Baloch 7.100066
 52  A*24:02-B*35:14-DRB1*16:02  Mexico Mixtec 7.100097
 53  A*11-B*35  Pakistan Baloch 7.000066
 54  A*24:02-B*35:12-C*04:01-DRB1*16:02-DQA1*05:01-DQB1*03:01-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 7.000073
 55  A*24:02-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 6.8100105
 56  A*24:02-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uro 6.8000105
 57  A*02:01-B*35:17-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 6.770096
 58  A*02-B*35-DRB1*04-DQB1*03:02  Guatemala, Guatemala City Mixed Ancestry 6.6900127
 59  A*02-B*35-DRB1*08-DQB1*04  Mexico Jalisco, Tlajomulco 6.666730
 60  A*24-B*35-C*12:03  Pakistan Burusho 6.600092
 61  A*24-B*35-C*04  Malaysia Perak Rawa 6.500023
 62  A*24-B*35-C*04  Malaysia Perak and Johor Banjar Bugis Jawa 6.500094
 63  A*02-B*35-DRB1*08-DQB1*04  Mexico Jalisco, Tlaquepaque 6.410339
 64  A*24-B*35-DRB1*08-DQB1*04  Mexico Jalisco, Tlaquepaque 6.410339
 65  B*35:01-C*04:01  USA Caucasian pop 2 6.4000265
 66  B*35-C*04  Pakistan Mixed Sindhi 6.4000101
 67  A*02:01-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 6.3100105
 68  A*02:01-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uro 6.3000105
 69  B*35:01-C*03:03  Japan Central 6.3000371
 70  A*02-B*35-DRB1*08-DQB1*04  Mexico Quintana Roo, Cancun 6.250048
 71  B*35-C*04-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 6.250072
 72  A*02:01-B*35:12  Mexico Mestizo 6.100041
 73  A*02:01-B*35:17-DRB1*08:02  Mexico Mixtec 6.100097
 74  A*24-B*35-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 6.010260
 75  A*02:01-B*35:12-DRB1*08:02  Mexico Oaxaca Mixtec 6.0000103
 76  A*02-B*35-DRB1*04:04-DQB1*03:02  Bolivia Quechua 6.000069
 77  A*23:01-B*35:01  Mali Bandiagara 6.0000138
 78  A*24:02-B*35:01-DRB1*08:02-DQB1*04:02  USA Alaska Yupik 6.0000252
 79  A*24:02-B*35:01-DRB1*16:02  Mexico Oaxaca Zapotec 6.000090
 80  A*24:07-B*35:05  Philippines Ivatan 6.000050
 81  A*68:01-B*35:01-DRB1*04:07  Mexico Oaxaca Mixtec 6.0000103
 82  B*35:01-C*07:02  Mexico Oaxaca Mixtec 6.0000103
 83  B*35:05-C*04:01  Philippines Ivatan 6.000050
 84  A*02-B*35-DRB1*14:02-DQB1*03:01  Bolivia La Paz Aymaras 5.964087
 85  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 5.882434
 86  B*35-DRB1*01  Russia South Ural Tatar 5.8000135
 87  A*02:01-B*35:43-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 5.769252
 88  A*02-B*35-DRB1*08-DQB1*04  Mexico Nuevo Leon, Monterrey city 5.7522226
 89  A*24:02-B*35:01  USA Alaska Yupik 5.7000252
 90  A*24-B*35-DRB1*11-DQA1*05:01-DQB1*03:01  Georgia Svaneti Region Svan 5.700080
 91  A*24-B*35-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 5.6723238
 92  A*30:02-B*35:01:01-DRB1*10:01  Cape Verde Northwestern Islands 5.600062
 93  B*35:01-C*04:01  USA Hispanic 5.6000234
 94  A*24:07-B*35:05-DRB1*15:02  Malaysia Mandailing 5.555627
 95  A*03-B*35-DRB1*01:01-DQB1*05:01  Russia Chuvash 5.500082
 96  A*24-B*35-DRB1*15  Pakistan Burusho 5.500092
 97  A*02-B*35-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 5.491087
 98  A*02-B*35-DRB1*08-DQB1*04  Mexico Coahuila, Saltillo 5.479572
 99  B*35-DRB1*11  Macedonia 5.4196286
 100  B*35:12-C*04:01  Mexico Oaxaca Zapotec 5.400090

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 22,293) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 223  


   

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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