Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 127) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01-B*49:01-C*04-DRB1*13:02-DQB1*06:04  Rwanda 3.2000280
 2  A*68-B*49:01-C*07-DRB1*13:02-DQB1*06:04  Rwanda 2.9000280
 3  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
 4  A*74-B*49:01-C*07-DRB1*13:02-DQB1*06:04  Rwanda 2.0000280
 5  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 1.2100124
 6  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.7987336
 7  B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo pop 2 0.6400234
 8  A*23:01-B*49:01-DRB1*13:02-DQB1*06:04  Mexico Veracruz Xalapa 0.595284
 9  A*02-B*49-DRB1*13:02-DQB1*06:04  Bolivia La Paz Aymaras 0.575087
 10  A*74:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.4792336
 11  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Panama 0.3800462
 12  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
 13  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
 14  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
 15  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.23921,463
 16  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
 17  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
 18  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.21072,492
 19  A*02:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 20  A*32:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 21  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
 22  A*69:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Panama 0.1900462
 23  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.17301,159
 24  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
 25  A*74:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Northeast UCBB 0.1689296
 26  A*02:05-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.1597336
 27  A*30:10-B*49:01-C*06:157-DRB1*13:02-DQB1*06:04-DPB1*04:02  Tanzania Maasai 0.1597336
 28  A*68:01-B*49:01-C*04:04-DRB1*13:02-DQB1*06:04-DPB1*105:01  Tanzania Maasai 0.1597336
 29  A*02-B*49-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.1560641
 30  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.15304,204
 31  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.15275,849
 32  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
 33  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 34  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
 35  A*68:01-B*49:01-C*03:04-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.13671,463
 36  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.12901,159
 37  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.12865,829
 38  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.12504,856
 39  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 40  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 41  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.103011,446
 42  A*01:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.10251,463
 43  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
 44  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.09401,999
 45  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
 46  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.08904,856
 47  A*30-B*49-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 48  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.07022,492
 49  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
 50  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 51  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 52  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
 53  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
 54  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.06204,856
 55  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.06032,492
 56  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*15:01  Russia Karelia 0.05651,075
 57  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*14:01  Russia Karelia 0.05651,075
 58  A*26:01-B*49:01-C*01:02-DRB1*13:02-DQB1*06:04-DPB1*04:02  Russia Karelia 0.05611,075
 59  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.05204,856
 60  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.047711,446
 61  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 62  A*29:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 63  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.04614,204
 64  A*02:20-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.04401,772
 65  A*03:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.04402,411
 66  A*29:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 67  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 68  A*03:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.04104,856
 69  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.04012,492
 70  A*31:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.04012,492
 71  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 72  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 73  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 74  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 75  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 76  A*31:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 77  A*66:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 78  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
 79  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
 80  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.03255,829
 81  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.03255,829
 82  A*02:05-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.03104,856
 83  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
 84  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02804,856
 85  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.02565,849
 86  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
 87  A*33:03-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.02384,204
 88  A*68:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.023011,446
 89  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.02202,411
 90  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.02201,772
 91  A*33:03-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.02202,411
 92  A*30:04-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02104,856
 93  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India East UCBB 0.02082,403
 94  A*02:05-B*49:01-C*06:02-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.02012,492
 95  A*11:01-B*49:01-C*06:02-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.02012,492
 96  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.01885,849
 97  A*32:01-B*49:01-C*04:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.017511,446
 98  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.01715,849
 99  A*31:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.01715,849
 100  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

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 127) 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.

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