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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Displaying 1 to 82 (from 82) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Colima Rural 1.136443
 2  A*31:01-B*48:01-C*08:03-DRB1*16:02-DQA1*05:05-DQB1*03:03  Mexico Chichen Itza Maya (prehispanic) 1.063847
 3  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.9934151
 4  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.9524103
 5  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Guerrero state 0.6944144
 6  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Guanajuato, Leon 0.641078
 7  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Guanajuato, Leon 0.641078
 8  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Mexico City East 0.625079
 9  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Mexico City North 0.5976751
 10  A*31:01-B*48:01-DRB1*16:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 11  A*31-B*48-DRB1*16:02-DQB1*03:01  Bolivia La Paz Aymaras 0.575087
 12  A*68-B*48-DRB1*16:02-DQB1*03:01  Bolivia La Paz Aymaras 0.575087
 13  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.4202119
 14  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Chiapas Rural 0.4132121
 15  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.37691,189
 16  A*26-B*48-C*08-DRB1*16-DQB1*05  Albania pop 2 0.3400432
 17  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Michoacan, Morelia 0.3311150
 18  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.3289150
 19  A*68-B*48-DRB1*16-DQB1*03:03  Mexico Mexico City Metropolitan Area Rural 0.3289150
 20  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Mexico City Center 0.3247152
 21  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Durango, Durango city 0.3226153
 22  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Durango, Durango city 0.3226153
 23  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.2998833
 24  A*68:01:02:02-B*48:01:01-C*08:01:01-DRB1*16:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 25  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Yucatan, Merida 0.2564192
 26  A*02-B*48-DRB1*16-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.2427824
 27  A*02-B*48-DRB1*16-DQB1*03:01  Ecuador Mixed Ancestry 0.21311,173
 28  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Chihuahua Rural 0.2092236
 29  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Chihuahua Rural 0.2092236
 30  A*02:01-B*48:01-C*08:01-DRB1*16:02-DQB1*03:01  USA NMDP American Indian South or Central America 0.18365,926
 31  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Jalisco Rural 0.1706585
 32  A*68:01-B*48:01-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 33  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 34  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Mexico City North 0.1328751
 35  A*24-B*48-DRB1*16-DQB1*03:01  Ecuador Mixed Ancestry 0.12791,173
 36  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Coahuila, Torreon 0.1250396
 37  A*24-B*48-DRB1*16-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.1214824
 38  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.1205830
 39  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.1205830
 40  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.1205830
 41  A*26-B*48-DRB1*16  Albania pop 2 0.1200432
 42  A*03-B*48-DRB1*16-DQB1*03:01  Mexico Nuevo Leon Rural 0.1136439
 43  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Oaxaca Rural 0.1027485
 44  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Puebla, Puebla city 0.10021,994
 45  A*31-B*48-DRB1*16-DQB1*03:01  Mexico Veracruz Rural 0.0924539
 46  A*24:02-B*48:01-C*08:03-DRB1*16:02-DQB1*05:02  India North UCBB 0.08555,849
 47  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 48  A*11-B*48-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 49  A*24:02-B*48:01-C*08:01-DRB1*16:02  Germany DKMS - China minority 0.07801,282
 50  A*31-B*48-DRB1*16-DQB1*03:01  Mexico Mexico City North 0.0664751
 51  A*68-B*48-DRB1*16-DQB1*03:03  Mexico Mexico City North 0.0664751
 52  A*24-B*48-DRB1*16-DQB1*03:03  Mexico Puebla Rural 0.0600833
 53  A*24:07-B*48:01-C*08:01-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 54  A*24:03-B*48:01-C*08:01-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 55  A*31:01-B*48:01-C*08:01-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 56  A*68-B*48-DRB1*16  Brazil Para State 0.04265,000
 57  A*02:07-B*48:01-C*08:03-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 58  A*11:01-B*48:01-C*08:01-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 59  A*24:02-B*48:01-C*08:03-DRB1*16:02  Japan pop 16 0.037018,604
 60  A*68-B*48-C*08-DRB1*16-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 61  A*24:02-B*48:01-C*08:03-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*02:02  Japan pop 17 0.03003,078
 62  A*24:02-B*48:01-C*08:03-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 63  A*31:01-B*48:01-C*08:03-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 64  A*02:07:01-B*48:01:01-C*08:22:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 65  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 66  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 67  A*31-B*48-DRB1*16-DQB1*03:03  Mexico Puebla, Puebla city 0.02511,994
 68  A*01:01-B*48:01-C*08:03-DRB1*16:02-DQB1*05:02  India East UCBB 0.02082,403
 69  A*24:02-B*48:01-C*08:01-DRB1*16:02  Hong Kong Chinese BMDR 0.01477,595
 70  A*11:01:01-B*48:03:01-C*08:01:01-DRB1*16:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01415,266
 71  A*02:01-B*48:01-C*08:03-DRB1*16:02-DQB1*05:02  India Central UCBB 0.01194,204
 72  A*24:02-B*48:01-C*08:03-DRB1*16:02-DQB1*05:02  India Central UCBB 0.01194,204
 73  A*02:06-B*48:01-C*08:03-DRB1*16:02  Japan pop 16 0.010018,604
 74  A*02:06-B*48:01-C*08:22-DRB1*16:02-DQB1*03:03  India West UCBB 0.00865,829
 75  A*02:01:01-B*48:04:01-C*07:02:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00795,266
 76  A*24-B*48-DRB1*16  Brazil South East Cord Blood 0.005011,409
 77  A*03-B*48-DRB1*16  Brazil South East Cord Blood 0.004011,409
 78  A*23-B*48-DRB1*16  Brazil South East Cord Blood 0.004011,409
 79  A*33:03-B*48:01-C*08:01-DRB1*16:02  Hong Kong Chinese BMDR 0.00397,595
 80  A*66:01-B*48:01-DRB1*16:02  Israel Tunisia Jews 0.00289,070
 81  A*02:02-B*48:04-DRB1*16:01  Israel Morocco Jews 0.001436,718
 82  A*32:01-B*48:01-C*08:01-DRB1*16:02  Poland DKMS 0.001120,653

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).




   

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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