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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 912) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*41-C*17  Pakistan Burusho 3.600092
 2  B*41:01-C*17:01  Kenya Nandi 2.7000240
 3  A*02-B*41-C*17  Italy East Sicily 2.000050
 4  A*66:01-B*41:01-C*17:01-DRB1*07:01  Brazil Vale do Ribeira Quilombos 1.3889144
 5  A*03-B*41-C*17:01  England London Ashkenazi Jews 1.2000500
 6  A*23-B*41-C*17:01  England London Ashkenazi Jews 1.2000500
 7  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 1.18161,510
 8  A*31-B*41-C*17-DRB1*07-DQB1*03  Sudan Khartoum 1.020098
 9  A*02:01:01-B*41:01:01-C*17:01:01  South African Mixed ancestry 1.000050
 10  A*02:01-B*41:01-C*17:01  Kenya Nandi 1.0000240
 11  A*26:01:01-B*41:01:01-C*17:01:01  South African Mixed ancestry 1.000050
 12  A*02:01-B*41:02-C*17:01-DRB1*13:03  Russia Bering Island Aleuts 0.9615104
 13  A*02:01-B*41:01-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.9585336
 14  A*11-B*41-C*17-DRB1*03  Iran pop 4 0.9000855
 15  A*30-B*41-C*17-DRB1*03  Iran pop 4 0.9000855
 16  A*02:01-B*41:02-C*17:03-DRB1*13:03-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 17  B*41:01-C*17:01  USA Hispanic pop 2 0.80301,999
 18  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.76041,075
 19  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Tixcacaltuyub Maya 0.746367
 20  A*23:17-B*41:01:01-C*17:01:01-DRB1*04:01:01-DQB1*03:02:01-DPB1*01:01:01  South African Black 0.7040142
 21  A*30:04:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*665:01  South African Black 0.7040142
 22  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
 23  B*41:02-C*17:01  USA African American pop 4 0.68602,411
 24  A*02-B*41-C*17-DRB1*04  Macedonia MBMDR - Macedonian Muslims 0.657976
 25  A*01:01:01-B*41:01-C*17:01:01-DRB1*07:01:01-DQB1*03:03:02-DPB1*04:02:01  Saudi Arabia pop 6 (G) 0.643328,927
 26  B*41:01-C*17:01  Italy pop 5 0.6300975
 27  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Barra Mansa Rio State Caucasian 0.6250405
 28  A*01:01-B*41:01-C*17:01-DRB1*10:01-DQB1*05:01  USA NMDP Hawaiian or other Pacific Islander 0.594611,499
 29  A*01:01-B*41:01-C*17:01  Italy pop 5 0.5900975
 30  A*01:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 31  B*41:02-C*17:01  USA Hispanic pop 2 0.57701,999
 32  A*01:01-B*41:01-C*17:01-DRB1*03:01  Italy pop 5 0.5700975
 33  A*02-B*41-C*17-DRB1*14-DQB1*06  Sudan Khartoum 0.510098
 34  A*23-B*41-C*17-DRB1*11-DQB1*03  Sudan Khartoum 0.510098
 35  A*33:03:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5083192
 36  A*74:01-B*41:01-C*17:01-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*19:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 37  A*03:01-B*41:02-C*17:01-DRB1*11:01  Russia Bering Island Aleuts 0.4808104
 38  A*66:01:01-B*41:02:01-C*17:01-DRB1*13:03:02-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 39  A*66:01-B*41:02-C*17:01-DRB1*13:03  Poland DKMS 0.461420,653
 40  A*29:02:01-B*41:02:01-C*17:01:01-DRB1*12:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 41  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA NMDP Caribean Indian 0.444814,339
 42  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 43  A*02:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 44  A*02:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 45  A*03:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 46  A*26:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*88:01  Russian Federation Vologda Region 0.4202119
 47  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
 48  A*02:01-B*41:02-C*17:01-DRB1*13:03  Poland DKMS 0.418620,653
 49  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 50  A*31:01:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 51  A*66:01-B*41:02-C*17:03-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 52  A*01-B*41-C*17-DRB1*10  Iran pop 4 0.4000855
 53  A*30-B*41-C*17-DRB1*09  Iran pop 4 0.4000855
 54  A*23:01:01-B*41:01:01-C*17:01:01-DRB1*11:01:02-DQB1*03:01:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 55  A*26:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 56  A*03:01:01-B*41:01:01-C*17:01:01-DRB1*08:04:01-DQB1*03:19:01-DPB1*106:01  South African Black 0.3520142
 57  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 58  A*66:01-B*41:02-C*17:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 59  B*41:01-C*17:01  Mexico Mexico City Mestizo population 0.3497143
 60  B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 61  B*41:02-C*17:01  Mexico Mexico City Mestizo population 0.3497143
 62  B*41:02-C*17:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 63  B*41-C*17  Macedonia 0.3497286
 64  A*03:01-B*41:02-C*17:01-DRB1*15:03  Brazil Vale do Ribeira Quilombos 0.3472144
 65  A*24:02-B*41:01-C*17:01-DRB1*13:02  Brazil Vale do Ribeira Quilombos 0.3472144
 66  A*31-B*41-C*17:03-DRB1*11:04-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 67  A*01:01-B*41:02-C*17:01-DRB1*11:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 0.3333150
 68  A*02:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.327923,595
 69  A*24:02:01-B*41:02:01-C*17:03:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 70  A*66:01:01-B*41:02:01-C*17:03:01-DRB1*08:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*104:01:01  Russia Belgorod region 0.3268153
 71  A*66:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*06:01  Russia Belgorod region 0.3268153
 72  A*02:22:01-B*41:02:01-C*17:01:01-DRB1*04:05:04  Nicaragua Mestizo (G) 0.3226155
 73  A*30:02:01-B*41:01-C*17:01:01-DRB1*13:04  Nicaragua Mestizo (G) 0.3226155
 74  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.321923,595
 75  A*66:01-B*41:02-C*17:01-DRB1*13:03  Germany DKMS - France minority 0.32001,406
 76  A*01:01-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04-DPB1*04:01  Tanzania Maasai 0.3195336
 77  A*24:02-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.3195336
 78  A*68:02-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*15:01  Tanzania Maasai 0.3195336
 79  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*04:03:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 80  A*02:01:01-B*41:02:01-C*17:03:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 81  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
 82  A*68:01:01-B*41:01:01-C*17:01:01-DRB1*04:05:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*14:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 83  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.30804,335
 84  A*02-B*41-C*17-DRB1*13  Macedonia MBMDR - Macedonian 0.30381,283
 85  A*03:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.30361,510
 86  A*02:05-B*41:01-C*17:01-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 87  A*02:05-B*41:01-C*17:01-DRB1*11:01-DQA1*03:01-DQB1*03:01-DPB1*01:01  South Africa Worcester 0.3000159
 88  A*26:01-B*41:01-C*17:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 89  A*68:02-B*41:01-C*17:01-DRB1*07:01-DQA1*03:01-DQB1*02:02-DPB1*03:01  South Africa Worcester 0.3000159
 90  A*68:27-B*41:01-C*17:01-DRB1*07:01-DQA1*04:01-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 91  A*66:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  Italy pop 5 0.2900975
 92  A*03:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2730192
 93  A*66:01-B*41:02-C*17:01-DRB1*13:03  Germany DKMS - Greece minority 0.26401,894
 94  A*01:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 95  A*11:01:01:01-B*41:02:01-C*17:03-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 96  A*32:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 97  A*02:02-B*41:01-C*17:01-DRB1*04:05-DQB1*02:01  Germany DKMS - Italy minority 0.25901,159
 98  A*03:01-B*41:02-C*17:01-DRB1*13:03  Germany DKMS - Romania minority 0.24301,234
 99  A*66:01-B*41:02-C*17:01-DRB1*13:03  Germany DKMS - United Kingdom minority 0.24001,043
 100  A*01:01-B*41:01-C*17:01-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.23921,463

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 912) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  


   

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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