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 100 (from 110) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30-B*41-C*06-DRB1*13-DQB1*06  Sudan Khartoum 1.020098
 2  A*29-B*41-DRB1*13-DQB1*06  Mexico Veracruz, Coatzacoalcos 0.892955
 3  A*66:01:01-B*41:02:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 4  A*24-B*41-DRB1*13-DQB1*06  Mexico Oaxaca, Oaxaca city 0.6623151
 5  A*02-B*41-DRB1*13-DQB1*06  Mexico Hidalgo Rural 0.617381
 6  A*24-B*41-DRB1*13-DQB1*06  Mexico Nayarit, Tepic 0.515597
 7  A*66-B*41-DRB1*13-DQB1*06  Mexico Nayarit, Tepic 0.515597
 8  A*68:01-B*41:01-DRB1*13:01-DQB1*06:03  Iran Tabriz Azeris 0.515597
 9  A*68-B*41-C*06-DRB1*13-DQB1*06  Sudan Khartoum 0.510098
 10  A*24-B*41-DRB1*13-DQB1*06  Mexico Zacatecas, Fresnillo 0.4762103
 11  A*31-B*41-DRB1*13-DQB1*06  Mexico Coahuila Rural 0.4587216
 12  A*02-B*41-DRB1*13-DQB1*06  Mexico Chihuahua Chihuahua City 0.4202119
 13  A*32:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 14  A*31:01:02:01-B*41:02:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 15  A*24-B*41-DRB1*13-DQB1*06  Mexico Guerrero state 0.3472144
 16  A*01-B*41-DRB1*13-DQB1*06  Iraq Arabs 0.3400149
 17  A*02-B*41-DRB1*13-DQB1*06  Mexico Michoacan, Morelia 0.3311150
 18  A*02-B*41-DRB1*13-DQB1*06  Mexico Mexico City Metropolitan Area Rural 0.3289150
 19  A*01:01-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04-DPB1*04:01  Tanzania Maasai 0.3195336
 20  A*29:02:01-B*41:02:01-C*17:03:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 21  A*02-B*41-DRB1*13-DQB1*06  Mexico Tlaxcala Rural 0.3012830
 22  A*02-B*41-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.2865348
 23  A*24-B*41-DRB1*13-DQB1*06  Mexico Tlaxcala, Tlaxcala city 0.2762181
 24  A*29-B*41-DRB1*13-DQB1*06  Mexico Chihuahua Rural 0.2092236
 25  A*68:01:02-B*41:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 26  A*74:01:01-B*41:01:01-C*07:01:01-DRB1*13:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 27  A*68-B*41-DRB1*13-DQB1*06  Mexico Puebla Rural 0.1799833
 28  A*01:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:85-DPB1*15:01  Tanzania Maasai 0.1597336
 29  A*30:04-B*41:01-C*02:09-DRB1*13:01-DQB1*06:03-DPB1*131:01  Tanzania Maasai 0.1597336
 30  A*68:02-B*41:01-C*08:13-DRB1*13:02-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.1597336
 31  A*23-B*41-DRB1*13-DQB1*06  Mexico Durango Rural 0.1529326
 32  A*30-B*41-DRB1*13-DQB1*06  Mexico Durango Rural 0.1529326
 33  A*02:01-B*41:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Tlalpan 0.1515330
 34  A*23:01-B*41:01-DRB1*13:01-DQB1*06:09  Mexico Mexico City Tlalpan 0.1515330
 35  A*30-B*41-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.1433348
 36  A*24:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 37  A*02-B*41-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.12561,189
 38  A*24-B*41-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 39  A*24-B*41-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.1214824
 40  A*02-B*41-DRB1*13-DQB1*06  Mexico Nuevo Leon Rural 0.1136439
 41  A*01:01:01-B*41:01-C*17:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.1009221
 42  A*02-B*41-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.0853585
 43  A*24-B*41-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.0853585
 44  A*24-B*41-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.08531,173
 45  A*31-B*41-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.0853585
 46  A*66-B*41-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.08381,189
 47  A*03-B*41-C*17-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.08131,743
 48  A*03-B*41-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 49  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*06:03-DPB1*14:01  Russia Karelia 0.05641,075
 50  A*02:01-B*41:02-C*17:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.05581,075
 51  A*01:01-B*41:02-C*17:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.05561,075
 52  A*24-B*41-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.05011,994
 53  A*66-B*41-C*17-DRB1*13-DQB1*06-DPB1*03  Norway ethnic Norwegians 0.05004,510
 54  A*24:02-B*41:01-C*06:02-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 55  A*30:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 56  A*30:02-B*41:02-C*17:01-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 57  A*23:01-B*41:02-C*17:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.04402,411
 58  A*33:01-B*41:02-C*17:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.04402,411
 59  A*34:02-B*41:03-C*17:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.04402,411
 60  A*24-B*41-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 61  A*33-B*41-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 62  A*68-B*41-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 63  A*23-B*41-C*17-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.04011,743
 64  A*02-B*41-C*17-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03951,743
 65  A*02:13-B*41:02-C*03:04-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 66  A*30:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 67  A*01:01-B*41:02-C*17:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 68  A*24:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 69  A*11:01:01:01-B*41:02:01-C*17:03-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 70  A*01-B*41-C*17-DRB1*13-DQA1*02-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 71  A*01:01:01-B*41:01-C*17:01:01-DRB1*13:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0313221
 72  A*02-B*41-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.02511,994
 73  A*02:01-B*41:01-C*16:02-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.02202,411
 74  A*02:01-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02104,856
 75  A*02:01-B*41:01-C*17:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 76  A*02:01-B*41:01-C*17:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01204,856
 77  A*30:02-B*41:02-C*17:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.01201,999
 78  A*66:01-B*41:02-C*17:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.01201,999
 79  A*03:01-B*41:01-C*08:02-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.01102,411
 80  A*23:01-B*41:01-C*08:02-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.01102,411
 81  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:02:01  Poland BMR 0.010623,595
 82  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:03:01  Poland BMR 0.010623,595
 83  A*02:05-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 84  A*02:22-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 85  A*03:01-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 86  A*29-B*41-C*17-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.01004,510
 87  A*66-B*41-C*17-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.01004,510
 88  A*66-B*41-C*17-DRB1*13-DQB1*06-DPB1*17  Norway ethnic Norwegians 0.01004,510
 89  A*26:01-B*41:02-C*17:03-DRB1*13:03-DQB1*06:01  India West UCBB 0.00865,829
 90  A*02:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:02:01  Poland BMR 0.006623,595
 91  A*30:04:01-B*41:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.006423,595
 92  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005923,595
 93  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005623,595
 94  A*24:02:01-B*41:01:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004823,595
 95  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004523,595
 96  A*02:01:01-B*41:02:01-C*17:03-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003623,595
 97  A*23:01:01-B*41:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.003223,595
 98  A*23:01:01-B*41:01:01-C*17:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002223,595
 99  A*03:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:02:01  Poland BMR 0.002123,595
 100  A*01:01:01-B*41:01:01-C*17:01:01-DRB1*13:02:01-DQB1*06:09:01  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).


Displaying 1 to 100 (from 110) records   Pages: 1 2 of 2  


   

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