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 401) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Yazd 5.357156
 2  A*02-B*50-DRB1*07-DQB1*02  Mexico Hidalgo, Pachuca 3.658541
 3  A*74-B*50-DRB1*07:01-DQB1*02:01  Colombia San Basilio de Palenque 3.571042
 4  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Tunisia 3.0000100
 5  A*02:01:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Morocco Atlantic Coast Chaouya 2.900098
 6  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 2.880052
 7  A*02:01-B*50:01-DRB1*07:01-DQB1*02:02  Tunisia Gabes 2.630095
 8  A*23-B*50-DRB1*07-DQB1*02  Mexico Hidalgo, Pachuca 2.439041
 9  A*03-B*50-DRB1*07-DQB1*02  Mexico Baja California, Tijuana 2.000025
 10  A*01-B*50-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082
 11  A*02-B*50-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082
 12  A*02-B*50-DRB1*07:01-DQB1*02:02  Tunisia Ghannouch 1.800082
 13  A*30-B*50-DRB1*07-DQA1*02-DQB1*02:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.7900112
 14  A*02-B*50-DRB1*07-DQB1*02  Mexico San Luis Potosi Rural 1.724187
 15  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 16  A*11:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 17  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 1.666760
 18  A*68-B*50-DRB1*07-DQB1*02  Mexico Jalisco, Tlajomulco 1.666730
 19  A*01:01-B*50:01-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 20  A*03:01-B*50:01-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 21  A*23:01-B*50:01-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 22  A*02-B*50-DRB1*07:01-DQB1*02:01  Madeira pop 2 1.4000173
 23  A*02-B*50-DRB1*07-DQA1*02-DQB1*02:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 24  A*02-B*50-DRB1*07-DQB1*02  Turkey pop 2 1.3000228
 25  A*02-B*50-DRB1*07-DQB1*02  Mexico Morelos, Cuernavaca 1.219582
 26  A*02-B*50:01-DRB1*07:01-DQB1*02:01  Tunisia pop 3 1.2000104
 27  A*02-B*50-DRB1*07:01-DQB1*02  Gaza Palestinians 1.2000165
 28  A*02-B*50-C*06:02-DRB1*07-DQB1*02  Russia North Ossetian 1.1800127
 29  A*02-B*50-DRB1*07-DQB1*02  Mexico Queretaro, Queretaro city 1.111145
 30  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 1.030997
 31  A*23-B*50-DRB1*07-DQB1*02  Mexico Nayarit, Tepic 1.030997
 32  A*32-B*50-DRB1*07-DQB1*02  Mexico Nayarit, Tepic 1.030997
 33  A*02-B*50-C*06-DRB1*07-DQB1*02  Sudan Khartoum 1.020098
 34  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 35  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 36  A*29:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 37  A*02-B*50-DRB1*07-DQB1*02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 38  A*24:02-B*50:01-C*06:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.8772130
 39  A*02:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 40  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.807228,927
 41  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Iran Gorgan 0.780064
 42  A*32-B*50-C*06:02-DRB1*07-DQB1*02  Russia North Ossetian 0.7800127
 43  A*02-B*50-C*06-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.74831,743
 44  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.73304,856
 45  A*32:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.7000215
 46  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.667628,927
 47  A*68-B*50-DRB1*07-DQB1*02  Mexico Baja California, La Paz 0.666775
 48  A*02-B*50-DRB1*07-DQB1*02  Mexico Michoacan, Morelia 0.6623150
 49  A*02-B*50-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 0.6250396
 50  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.616970,890
 51  A*01-B*50-DRB1*07-DQB1*02  Mexico Tabasco, Villahermosa 0.609882
 52  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.599428,927
 53  A*02:01-B*50:01-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 54  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.55835,849
 55  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.5535271
 56  A*02-B*50-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.5359641
 57  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*14:01:01  Saudi Arabia pop 6 (G) 0.527428,927
 58  A*01:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.5208192
 59  A*33:03:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.5208192
 60  A*24:02-B*50:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 61  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.515428,927
 62  A*02:05-B*50:01-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.5000298
 63  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.46301,159
 64  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.46104,204
 65  A*23-B*50-DRB1*07-DQB1*02  Mexico Nuevo Leon Rural 0.4545439
 66  A*23-B*50-DRB1*07-DQA1*02-DQB1*02:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 67  A*24-B*50-DRB1*07-DQA1*02-DQB1*02:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 68  A*33-B*50-DRB1*07-DQA1*02-DQB1*02:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 69  A*01:01-B*50:01-C*04:01-E*01:01:01-F*01:01:01-G*01:06-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 70  A*02:01-B*50:01-C*07:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*01:03-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 71  A*02-B*50-DRB1*07-DQB1*02  Mexico Chihuahua Chihuahua City 0.4202119
 72  A*02-B*50-DRB1*07-DQB1*02  Mexico Chihuahua Rural 0.4184236
 73  A*11:01:01-B*50:01:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 74  A*30:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 75  A*02-B*50-DRB1*07-DQB1*02  Mexico Chiapas Rural 0.4132121
 76  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.41011,463
 77  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.4022185,391
 78  A*01-B*50-C*06:02-DRB1*07-DQB1*02  Russia North Ossetian 0.3900127
 79  A*02-B*50-DRB1*07-DQB1*02  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 80  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 81  A*01-B*50-DRB1*07-DQB1*02  Mexico Yucatan Rural 0.3731132
 82  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.359228,927
 83  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.35685,829
 84  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.354111,446
 85  A*01:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 86  B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 87  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.34702,492
 88  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.346428,927
 89  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Southeast Asian 0.345927,978
 90  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.34204,335
 91  A*23-B*50-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.3413585
 92  A*02-B*50-DRB1*07-DQB1*02  Mexico Nuevo Leon Rural 0.3409439
 93  A*24-B*50-C*15-DRB1*07-DQB1*02  Albania pop 2 0.3400432
 94  A*02-B*50-C*06:02-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 95  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.325228,927
 96  A*33:03:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 97  A*03-B*50-DRB1*07-DQB1*02  Mexico Guanajuato Rural 0.3067162
 98  A*02:01-B*50:01-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.3000298
 99  A*74:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 100  A*02:05:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.29801,510

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 401) records   Pages: 1 2 3 4 5 of 5  


   

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