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 111) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68-B*14-C*08-DRB1*15  Myanmar Shan 3.704054
 2  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
 3  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Black 1.470668
 4  A*30:02-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 5  A*02:02-B*14:02-C*08:02-DRB1*15:03  Brazil Vale do Ribeira Quilombos 0.6944144
 6  A*33-B*14-C*08-DRB1*15-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 7  B*14-C*08-DRB1*15-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 8  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
 9  A*30:02:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 10  A*02-B*14-C*08-DRB1*15-DQB1*06  Sudan Khartoum 0.510098
 11  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
 12  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
 13  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
 14  A*33-B*14-C*08-DRB1*15  Macedonia 0.3497286
 15  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
 16  A*33:01-B*14:02-C*08:02-DRB1*15:01  Italy pop 5 0.3000975
 17  A*68:01-B*14:01-C*08:04-DRB1*15:03-DQA1*05:01-DQB1*03:01-DPB1*02:01  South Africa Worcester 0.3000159
 18  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
 19  A*30:02-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.27002,411
 20  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
 21  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
 22  A*02:01-B*14:02-C*08:02-DRB1*15:03-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 23  A*24:02-B*14:02:01-C*08:02-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 24  A*24:02-B*14:02-C*08:02-DRB1*15:02  Italy pop 5 0.2000975
 25  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
 26  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
 27  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*15:02:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 28  A*24:02-B*14:02-C*08:02-DRB1*15:02-DQB1*03:02  Italy pop 5 0.1400975
 29  A*24:02-B*14:02-C*08:02-DRB1*15:02-DQB1*06:01  Italy pop 5 0.1400975
 30  A*33:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.14001,999
 31  A*33:01-B*14:02-C*08:02-DRB1*15:01  Germany DKMS - Spain minority 0.13601,107
 32  A*23:01-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.13102,411
 33  A*33:01-B*14:02-C*08:02-DRB1*15:01  Germany DKMS - Portugal minority 0.12701,176
 34  A*30:02-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  USA Hispanic pop 2 0.09401,999
 35  A*68:02-B*14:02-C*08:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.09401,999
 36  A*68:01-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.08702,411
 37  A*02:01-B*14:01-C*08:02-DRB1*15:01  Germany DKMS - Portugal minority 0.08501,176
 38  A*24:02-B*14:01-C*08:02-DRB1*15:01  Germany DKMS - Portugal minority 0.08501,176
 39  A*33-B*14-C*08-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.07381,743
 40  A*30:02-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 41  A*32:01-B*14:01-C*08:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 42  A*33:01-B*14:02-C*08:02-DRB1*15:01  Germany DKMS - France minority 0.05401,406
 43  A*30:04-B*14:01-C*08:02-DRB1*15:01  Germany DKMS - Croatia minority 0.04902,057
 44  A*33:01-B*14:02-C*08:02-DRB1*15:03  Germany DKMS - Croatia minority 0.04902,057
 45  A*33:01-B*14:02-C*08:02-DRB1*15:19  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 46  A*02:05-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 47  A*26:01-B*14:01-C*08:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 48  A*29:02-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 49  A*30:02-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 50  A*02:14-B*14:01-C*08:04-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.04402,411
 51  A*33:03-B*14:01-C*08:04-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.04402,411
 52  A*24:02-B*14:02-C*08:02-DRB1*15:01  Germany DKMS - Portugal minority 0.04301,176
 53  A*32:01-B*14:01-C*08:02-DRB1*15:01-DQB1*05:02  Germany DKMS - Italy minority 0.04301,159
 54  A*26-B*14-C*08-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03961,743
 55  A*26-B*14-C*08-DRB1*15  Macedonia MBMDR - Macedonian 0.03901,283
 56  A*01:01-B*14:02-C*08:02-DRB1*15:01  Germany DKMS - France minority 0.03701,406
 57  A*33-B*14-C*08-DRB1*15  Macedonia MBMDR - Macedonian 0.03631,283
 58  A*33:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 59  A*02:01-B*14:01-C*08:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 60  A*02:05-B*14:02-C*08:02-DRB1*15:01  Germany DKMS - Austria minority 0.03401,698
 61  A*03:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 62  A*23:01-B*14:01-C*08:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 63  A*26:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 64  A*30:04-B*14:02-C*08:02-DRB1*15:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 65  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
 66  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
 67  A*68:01:02:02-B*14:01:01-C*08:02:01:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 68  A*01-B*14-C*08-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 69  A*02:01-B*14:01-C*08:02-DRB1*15:01  Germany DKMS - Austria minority 0.02901,698
 70  A*23:01-B*14:02-C*08:02-DRB1*15:01  Germany DKMS - Greece minority 0.02601,894
 71  A*32:01-B*14:01-C*08:02-DRB1*15:01  Germany DKMS - Greece minority 0.02601,894
 72  A*03:01-B*14:02-C*08:02-DRB1*15:02  Germany DKMS - Croatia minority 0.02402,057
 73  A*33:01-B*14:02-C*08:02-DRB1*15:01  Germany DKMS - Croatia minority 0.02402,057
 74  A*02:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.02104,856
 75  A*03:01-B*14:02-C*08:02-DRB1*15:03-DQB1*06:03  Germany DKMS - Turkey minority 0.02104,856
 76  A*33:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:03  Germany DKMS - Turkey minority 0.02104,856
 77  A*66-B*14-C*08-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.02004,510
 78  A*33:01-B*14:02-C*08:02-DRB1*15:01  Poland DKMS 0.017820,653
 79  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
 80  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
 81  A*01:01-B*14:02-C*08:02-DRB1*15:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 82  A*26:01-B*14:02-C*08:02-DRB1*15:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 83  A*33:03-B*14:01-C*08:04-DRB1*15:03-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 84  A*68:02-B*14:01-C*08:04-DRB1*15:03-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 85  A*03:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 86  A*34:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 87  A*02:01-B*14:01-C*08:02-DRB1*15:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 88  A*02-B*14-C*08-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.01004,510
 89  A*23-B*14-C*08-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.01004,510
 90  A*26:01-B*14:02-C*08:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.01004,856
 91  A*32-B*14-C*08-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.01004,510
 92  A*32-B*14-C*08-DRB1*15-DQB1*06-DPB1*15  Norway ethnic Norwegians 0.01004,510
 93  A*33:01-B*14:03-C*08:02-DRB1*15:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 94  A*33-B*14-C*08-DRB1*15-DQB1*06-DPB1*19  Norway ethnic Norwegians 0.01004,510
 95  A*03:01-B*14:02-C*08:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 96  A*26:01:01-B*14:01:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008523,595
 97  A*03:01-B*14:02-C*08:02-DRB1*15:01  Poland DKMS 0.005920,653
 98  A*11:01-B*14:02-C*08:02-DRB1*15:01  Poland DKMS 0.005620,653
 99  A*01:01-B*14:01-C*08:02-DRB1*15:01  Poland DKMS 0.004920,653
 100  A*33:01-B*14:02-C*08:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446

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 111) 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