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 85 (from 85) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11-B*56-DRB1*01-DQB1*05  Mexico Campeche Rural 1.063847
 2  A*11-B*56-DRB1*01-DQB1*05  Mexico Mexico City South 0.961552
 3  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 4  A*02-B*56-DRB1*01-DQB1*05  Mexico Guerrero state 0.6944144
 5  A*24-B*56-C*01-DRB1*01-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 6  B*56-C*01-DRB1*01-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 7  A*11-B*56-DRB1*01-DQB1*05  Mexico Baja Californa, Mexicali 0.5000100
 8  A*68:01:01-B*56:01:01-C*03:04:01-DRB1*01:02:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 9  A*31-B*56-DRB1*01-DQB1*05  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 10  A*11-B*56-DRB1*01-DQB1*05  Mexico Tabasco Rural 0.3521142
 11  A*03:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  USA NMDP Caribean Indian 0.338014,339
 12  A*03-B*56-DRB1*01-DQB1*05  Mexico Durango, Durango city 0.3226153
 13  A*02-B*56-DRB1*01-DQB1*05  Mexico Veracruz, Veracruz city 0.2907171
 14  A*02:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.28001,999
 15  A*11:01:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.23131,510
 16  A*01:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 17  A*24-B*56-DRB1*01-DQB1*05  Mexico Coahuila Rural 0.2294216
 18  A*26:01-B*56:01-C*07:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*01:01  Nicaragua Managua 0.2165339
 19  A*02:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  USA NMDP Caribean Indian 0.170514,339
 20  A*03:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  Italy pop 5 0.1400975
 21  A*11:01:01-B*56:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 22  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  Italy pop 5 0.1400975
 23  A*31:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  Italy pop 5 0.1400975
 24  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.136423,595
 25  A*02:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*06:01  Russia Karelia 0.12401,075
 26  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.104023,595
 27  A*03-B*56-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.10021,994
 28  A*03-B*56-C*01-DRB1*01-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.10004,510
 29  A*02:01:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.09981,510
 30  A*68-B*56-DRB1*01-DQB1*05  Mexico Veracruz Rural 0.0924539
 31  A*02-B*56-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.08381,189
 32  A*26-B*56-DRB1*01-DQB1*05  Mexico Mexico City North 0.0664751
 33  A*11-B*56-C*01-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.06571,743
 34  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*06:01  Russia Karelia 0.06201,075
 35  A*02:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.05833,456,066
 36  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.05741,075
 37  A*03:123-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.05631,075
 38  A*02:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.04904,856
 39  A*03:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 40  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 41  A*02:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 42  A*03:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 43  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:03  Germany DKMS - Italy minority 0.04301,159
 44  A*24-B*56-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 45  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:02  Colombia Bogotá Cord Blood 0.03421,463
 46  A*11:01-B*56:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 47  A*26:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 48  A*29:02-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 49  A*01:01:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 50  A*02:01:01:01-B*56:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 51  A*03-B*56-C*01-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 52  A*03:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.030223,595
 53  A*26:01-B*56:01-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 54  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.02343,456,066
 55  A*02:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.02202,411
 56  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.02202,411
 57  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 58  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.02013,456,066
 59  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 60  A*33:03-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 61  A*11-B*56-C*01-DRB1*01-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.02004,510
 62  A*03:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01703,456,066
 63  A*26:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01304,856
 64  A*26:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.013023,595
 65  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*06:01  Germany DKMS - German donors 0.01273,456,066
 66  A*31:01:02-B*56:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.012723,595
 67  A*02:09-B*56:01-C*04:10-DRB1*01:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01194,204
 68  A*26:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01123,456,066
 69  A*02:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.01073,456,066
 70  A*01-B*56-C*01-DRB1*01-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.01004,510
 71  A*01-B*56-C*01-DRB1*01-DQB1*05-DPB1*05  Norway ethnic Norwegians 0.01004,510
 72  A*03:01-B*56:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 73  A*11-B*56-C*01-DRB1*01-DQB1*05-DPB1*02  Norway ethnic Norwegians 0.01004,510
 74  A*24-B*56-C*01-DRB1*01-DQB1*05-DPB1*06  Norway ethnic Norwegians 0.01004,510
 75  A*26-B*56-C*01-DRB1*01-DQB1*05-DPB1*01  Norway ethnic Norwegians 0.01004,510
 76  A*25:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.009123,595
 77  A*01:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.008623,595
 78  A*24:02:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.008523,595
 79  A*68:01:02-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.007123,595
 80  A*31:01:02-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004823,595
 81  A*66:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 82  A*02:01:01-B*56:01:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 83  A*03:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:08-DQB1*05:01:01  Poland BMR 0.002123,595
 84  A*03:01:01-B*56:01:01-C*03:04:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 85  A*11:01:01-B*56:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  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