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 109) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68-B*49:01-C*07-DRB1*13:02-DQB1*06:04  Rwanda 2.9000280
 2  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*74-B*49:01-C*07-DRB1*13:02-DQB1*06:04  Rwanda 2.0000280
 4  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 1.2100124
 5  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.7987336
 6  B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo pop 2 0.6400234
 7  A*74:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.4792336
 8  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Panama 0.3800462
 9  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 10  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 11  A*24:02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Bashkortostan, Tatars 0.2604192
 12  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.23921,463
 13  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:01-DPB1*10:01  Mexico Chiapas Lacandon Mayans 0.2294218
 14  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:06-DQB1*06:04-DPB1*13:01  Nicaragua Managua 0.2165339
 15  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.21072,492
 16  A*02:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 17  A*32:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 18  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 19  A*69:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Panama 0.1900462
 20  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.17301,159
 21  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.168928,927
 22  A*74:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Northeast UCBB 0.1689296
 23  A*02:05-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.1597336
 24  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.15304,204
 25  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.15275,849
 26  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*14:01  Sri Lanka Colombo 0.1401714
 27  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 28  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 29  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.12901,159
 30  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.12865,829
 31  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.12504,856
 32  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 33  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 34  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.103011,446
 35  A*01:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.10251,463
 36  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.09931,510
 37  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.09401,999
 38  A*31:01:02-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.093628,927
 39  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.08904,856
 40  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.07022,492
 41  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.0700714
 42  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 43  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 44  A*01:01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 45  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 46  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.06204,856
 47  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.06032,492
 48  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*15:01  Russia Karelia 0.05651,075
 49  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*14:01  Russia Karelia 0.05651,075
 50  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.05204,856
 51  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.047711,446
 52  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 53  A*29:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 54  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.04614,204
 55  A*02:20-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.04401,772
 56  A*03:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.04402,411
 57  A*29:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 58  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 59  A*03:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.04104,856
 60  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.04012,492
 61  A*31:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.04012,492
 62  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 63  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 64  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 65  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 66  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 67  A*31:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 68  A*66:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 69  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.033323,595
 70  A*02:01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 71  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.03255,829
 72  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.03255,829
 73  A*02:05-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.03104,856
 74  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.02881,734
 75  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02804,856
 76  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.02565,849
 77  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.025323,595
 78  A*33:03-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.02384,204
 79  A*68:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.023011,446
 80  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.02202,411
 81  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.02201,772
 82  A*33:03-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.02202,411
 83  A*30:04-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02104,856
 84  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India East UCBB 0.02082,403
 85  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.01885,849
 86  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.01715,849
 87  A*31:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.01715,849
 88  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.016123,595
 89  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01554,204
 90  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01404,856
 91  A*33:03-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.01375,829
 92  A*24:02:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.011623,595
 93  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.011311,446
 94  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.010023,595
 95  A*68:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 96  A*68:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 97  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.00975,849
 98  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.009011,446
 99  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.00895,829
 100  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829

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 109) 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