Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 82 (from 82) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29:02:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Sinaloa, Culiacán 1.9417103
 3  A*68-B*14:02-DRB1*15-DQB1*06  Mexico Chihuahua Rural 1.2552236
 4  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Zacatecas, Zacatecas city 1.190584
 5  A*30:02-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 6  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Coahuila Rural 0.9174216
 7  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Baja California, La Paz 0.666775
 8  A*34-B*14:02-DRB1*15-DQB1*06  Mexico Baja California, La Paz 0.666775
 9  A*02-B*14:02-DRB1*15-DQB1*06  Mexico Guanajuato, Leon 0.641078
 10  A*30-B*14:02-DRB1*15-DQB1*06  Mexico Guanajuato, Leon 0.641078
 11  A*68:02-B*14:02-C*08:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*34:01  South Africa Worcester 0.6000159
 12  A*30-B*14:02-DRB1*15-DQB1*06  Mexico Nuevo Leon Rural 0.5682439
 13  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Tlaxcala, Tlaxcala city 0.5525181
 14  A*30-B*14:02-DRB1*15-DQB1*06  Mexico Sonora Rural 0.5076197
 15  A*30:02-B*14:02-C*08:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 16  A*68:02-B*14:02-C*08:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 17  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Chihuahua Chihuahua City 0.4202119
 18  A*68-B*14:02-DRB1*15-DQB1*06  Mexico Chihuahua Chihuahua City 0.4202119
 19  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 20  A*03-B*14:02-DRB1*15-DQB1*06  Mexico Oaxaca, Oaxaca city 0.3311151
 21  A*23-B*14:02-DRB1*15-DQB1*06  Mexico Michoacan, Morelia 0.3311150
 22  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Oaxaca, Oaxaca city 0.3311151
 23  A*34-B*14:02-DRB1*15-DQB1*06  Mexico Oaxaca, Oaxaca city 0.3311151
 24  A*02-B*14:02-DRB1*15-DQB1*06  Mexico Mexico City Center 0.3247152
 25  A*02-B*14:02-DRB1*15-DQB1*06  Mexico Durango, Durango city 0.3226153
 26  A*30-B*14:02-DRB1*15-DQB1*06  Mexico Durango, Durango city 0.3226153
 27  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 28  A*74-B*14:02-DRB1*15-DQB1*06  Mexico Guanajuato Rural 0.3067162
 29  A*68:02-B*14:02-C*08:02-DRB1*15:03-DQA1*02:01-DQB1*06:02-DPB1*04:02  South Africa Worcester 0.3000159
 30  A*30:02-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.27002,411
 31  A*02-B*14:02-DRB1*15-DQB1*06  Mexico Yucatan, Merida 0.2564192
 32  A*23:01:01-B*14:02:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 33  A*30:02-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  USA NMDP Black South or Central American 0.22814,889
 34  A*02-B*14:02-DRB1*15-DQB1*06  Mexico Nuevo Leon, Monterrey city 0.2212226
 35  A*24:02-B*14:02:01-C*08:02-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 36  A*29:01:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*06:03:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 37  A*33:05-B*14:02:01-C*08:02:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 38  A*74-B*14:02-DRB1*15-DQB1*06  Mexico Jalisco Rural 0.1706585
 39  A*02-B*14:02-DRB1*15-DQB1*06  Mexico Durango Rural 0.1529326
 40  A*02:01-B*14:02-DRB1*15:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 41  A*02:02-B*14:02-DRB1*15:01-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 42  A*24:02-B*14:02-C*08:02-DRB1*15:02-DQB1*06:01  Italy pop 5 0.1400975
 43  A*33:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.14001,999
 44  A*23:01-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.13102,411
 45  A*02-B*14:02-DRB1*15-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 46  A*02-B*14:02-DRB1*15-DQB1*06  Mexico Puebla Rural 0.1199833
 47  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Puebla Rural 0.1199833
 48  A*02-B*14:02-DRB1*15-DQB1*06  Mexico Nuevo Leon Rural 0.1136439
 49  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Puebla, Puebla city 0.10021,994
 50  A*30:02-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  USA Hispanic pop 2 0.09401,999
 51  A*68:02-B*14:02-C*08:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.09401,999
 52  A*30-B*14:02-DRB1*15-DQB1*06  Mexico Veracruz Rural 0.0924539
 53  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Veracruz Rural 0.0924539
 54  A*68:01-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.08702,411
 55  A*29-B*14:02-DRB1*15-DQB1*06  Mexico Jalisco Rural 0.0853585
 56  A*30-B*14:02-DRB1*15-DQB1*06  Mexico Puebla, Puebla city 0.07521,994
 57  A*30:02-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 58  A*03-B*14:02-DRB1*15-DQB1*06  Mexico Tlaxcala Rural 0.0602830
 59  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Tlaxcala Rural 0.0602830
 60  A*02:05-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 61  A*29:02-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 62  A*30:02-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 63  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 64  A*33:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 65  A*02:01-B*14:02-C*02:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 66  A*03:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 67  A*26:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 68  A*03:01:01:01-B*14:02:01-C*08:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 69  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 70  A*02-B*14:02-DRB1*15-DQB1*06  Mexico Puebla, Puebla city 0.02511,994
 71  A*02:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.02104,856
 72  A*03:01-B*14:02-C*08:02-DRB1*15:03-DQB1*06:03  Germany DKMS - Turkey minority 0.02104,856
 73  A*33:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:03  Germany DKMS - Turkey minority 0.02104,856
 74  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.016423,595
 75  A*33:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01423,456,066
 76  A*03:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 77  A*34:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 78  A*26:01-B*14:02-C*08:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.01004,856
 79  A*03:01-B*14:02-C*08:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 80  A*33:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 81  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 82  A*25:01:01-B*14:02:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional