Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 107) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  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
 2  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 1.2100124
 3  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.7987336
 4  B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo pop 2 0.6400234
 5  A*74:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.4792336
 6  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Panama 0.3800462
 7  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
 8  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
 9  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
 10  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.23921,463
 11  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
 12  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
 13  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.21072,492
 14  A*02:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 15  A*32:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 16  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
 17  A*69:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Panama 0.1900462
 18  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.17301,159
 19  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
 20  A*74:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Northeast UCBB 0.1689296
 21  A*02:05-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.1597336
 22  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.15304,204
 23  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.15275,849
 24  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
 25  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 26  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
 27  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.12901,159
 28  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.12865,829
 29  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.12504,856
 30  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 31  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 32  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.103011,446
 33  A*01:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.10251,463
 34  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
 35  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.09401,999
 36  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
 37  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.08904,856
 38  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.07022,492
 39  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
 40  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 41  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 42  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
 43  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
 44  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.06204,856
 45  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.06032,492
 46  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*15:01  Russia Karelia 0.05651,075
 47  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*14:01  Russia Karelia 0.05651,075
 48  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.05204,856
 49  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.047711,446
 50  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 51  A*29:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 52  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.04614,204
 53  A*02:20-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.04401,772
 54  A*03:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.04402,411
 55  A*29:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 56  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 57  A*03:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.04104,856
 58  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.04012,492
 59  A*31:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.04012,492
 60  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 61  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 62  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 63  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 64  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 65  A*31:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 66  A*66:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 67  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
 68  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
 69  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.03255,829
 70  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.03255,829
 71  A*02:05-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.03104,856
 72  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
 73  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02804,856
 74  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.02565,849
 75  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
 76  A*33:03-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.02384,204
 77  A*68:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.023011,446
 78  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.02202,411
 79  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.02201,772
 80  A*33:03-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.02202,411
 81  A*30:04-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02104,856
 82  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India East UCBB 0.02082,403
 83  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.01885,849
 84  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.01715,849
 85  A*31:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.01715,849
 86  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
 87  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01554,204
 88  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01404,856
 89  A*33:03-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.01375,829
 90  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
 91  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.011311,446
 92  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
 93  A*68:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 94  A*68:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 95  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.00975,849
 96  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.009011,446
 97  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.00895,829
 98  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829
 99  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.00855,849
 100  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.00695,829

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 107) 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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