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 113) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*53:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Puyanawa 3.0000150
 2  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Spain, Canary Islands, Gran canaria island 1.6300215
 3  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:09  Kosovo 1.2100124
 4  A*02:01-B*53:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:04-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 1.0000100
 5  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo pop 2 0.8600234
 6  B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo pop 2 0.8600234
 7  A*30:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.547128,927
 8  A*25-B*53-C*04-DRB1*13-DQB1*06  Sudan Khartoum 0.510098
 9  A*30:02-B*53:01-C*04:01-DRB1*13:03-DQA1*02:01-DQB1*06:09-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 10  A*29:02-B*53:01-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:01-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 11  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.41004,335
 12  A*24:02-B*53:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:09  Kosovo 0.4030124
 13  A*11-B*53-C*04-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 14  A*68-B*53-C*04-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 15  A*02:01-B*53:05-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Puyanawa 0.3333150
 16  A*68:02-B*53:01:01-C*04:01-DRB1*13:02:01-DQB1*06:04  England North West 0.3000298
 17  A*30:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.2810356
 18  A*24:02-B*53:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Diego 0.2600496
 19  A*01:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.2262221
 20  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 21  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA NMDP Black South or Central American 0.19344,889
 22  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04-DPB1*04:02  Panama 0.1900462
 23  A*74:01-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*01:01  Panama 0.1900462
 24  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.18701,999
 25  A*11-B*53-C*04-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.17221,743
 26  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.17091,463
 27  A*32:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  India Northeast UCBB 0.1689296
 28  A*68-B*53-C*04-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.16411,743
 29  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.1597336
 30  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.14701,159
 31  A*66:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.12901,159
 32  A*74:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA NMDP Black South or Central American 0.12384,889
 33  A*30-B*53-C*04-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.12281,743
 34  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.1175221
 35  A*02:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA NMDP Black South or Central American 0.10914,889
 36  A*11:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.10221,463
 37  A*02:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.09401,999
 38  A*02:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.08702,411
 39  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.08702,411
 40  A*74:01-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.08702,411
 41  A*23:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0746221
 42  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.0740221
 43  A*30:02-B*53:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:11-DPB1*02:01  Sri Lanka Colombo 0.0700714
 44  A*68-B*53-C*04-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.07004,510
 45  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.068823,595
 46  A*30:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.06841,463
 47  A*68:02-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.06841,463
 48  A*68:02:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 49  A*02-B*53-C*04-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.06611,743
 50  A*01:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.06502,411
 51  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.06501,159
 52  A*23:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0646221
 53  A*66:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.06002,411
 54  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04-DPB1*04:01  Germany DKMS - German donors 0.05953,456,066
 55  A*30:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.05771,734
 56  A*36:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.04802,411
 57  A*02:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.04402,411
 58  A*02:05-B*53:01-C*04:01-DRB1*13:01-DQB1*06:08  USA African American pop 4 0.04402,411
 59  A*30:02-B*53:01-C*04:01-DRB1*13:01-DQB1*06:08  USA African American pop 4 0.04402,411
 60  A*34:02-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 61  A*80:01-B*53:01-C*04:01-DRB1*13:01-DQB1*06:08  USA African American pop 4 0.04402,411
 62  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  India East UCBB 0.04162,403
 63  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:05  India Tamil Nadu 0.04012,492
 64  A*24:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03781,463
 65  A*68:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03771,463
 66  A*29:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 67  A*30:04-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 68  A*33:03-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 69  A*33:03-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 70  A*23:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:41  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 71  A*23:01-B*53:04-C*04:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 72  A*24:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 73  A*32:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 74  A*33:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 75  A*66:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 76  A*03-B*53-C*04-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 77  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.03104,856
 78  A*32:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03091,463
 79  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03071,463
 80  A*02:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856
 81  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02104,856
 82  A*24:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 83  A*32:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 84  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02004,856
 85  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Germany DKMS - German donors 0.01793,456,066
 86  A*23:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.0149221
 87  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.013111,446
 88  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0131221
 89  A*03:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.01201,999
 90  A*23:01-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.01201,999
 91  A*24:05-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.01201,999
 92  A*29:02-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.01201,999
 93  A*03:01-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 94  A*30:02-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 95  A*66:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01194,204
 96  A*01:01-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.01101,772
 97  A*01:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA Asian pop 2 0.01101,772
 98  A*30:02-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.01101,772
 99  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA Asian pop 2 0.01101,772
 100  A*03:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.01004,856

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 113) 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