Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 165) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:05:01-B*58:01:01-C*07:18-DRB1*11:02:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 2.4650142
 2  A*02:05:01-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*03:02:01-DPA1*02:01:07-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*02:05:01-B*50:01:01-DRB1*07:01:01:01  Libya Cyrenaica 1.2700118
 4  A*02:05:01-B*50:01:01-DRB1*16:01:01  Libya Cyrenaica 1.2700118
 5  A*02:05:01-B*18:01:01-C*07:01:01  South African Indian population 1.000050
 6  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.9091110
 7  A*02:05:01-B*58:01:01-C*07:01:01-DRB1*11:02:01  Costa Rica Guanacaste Mestizo (G) 0.9091110
 8  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.599428,927
 9  A*02:05:01-B*08:01:01-C*15:02:01-DRB1*03:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 10  A*02:05:01-B*15:10:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Parda 0.5882170
 11  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 12  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.515428,927
 13  A*02:05:01-B*18:01:01-C*03:04:02-DRB1*01:01:02  Costa Rica African -Caribbean (G) 0.4902102
 14  A*02:05:01-B*18:01:01-C*16:01:01-DRB1*15:03  Costa Rica African -Caribbean (G) 0.4902102
 15  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*11:02:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 16  A*02:05:01-B*14:02:01-C*04:01:01-DRB1*08:02:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 17  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*04:06:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 18  A*02:05:01-B*41:01-C*07:01:01-DRB1*13:05:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 19  A*02:05:01-B*27:05:02-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 20  A*02:05:01-B*35:01:01-C*04:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 21  A*02:05:01-B*44:03:01-C*06:02:01:02-DRB1*01:01:01-DQB1*05:01:01:03  Russia Bashkortostan, Bashkirs 0.4167120
 22  A*02:05:01-B*14:02:01-C*04:01:01-DRB1*03:01  Costa Rica Amerindians (G) 0.4032125
 23  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.359228,927
 24  A*02:05:01-B*07:02:01-C*02:10:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*105:01:01  South African Black 0.3520142
 25  A*02:05:01-B*14:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*13:01:01  South African Black 0.3520142
 26  A*02:05:01-B*15:10:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 27  A*02:05:01-B*39:10:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 28  A*02:05:01-B*39:10:01-C*18:02-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 29  A*02:05:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*105:01:01  South African Black 0.3520142
 30  A*02:05:01-B*45:01:01-C*03:04:01-DRB1*13:01:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 31  A*02:05:01-B*58:01:01-C*03:02:01-DRB1*13:01:01-DQB1*05:01:01-DPB1*03:01:01  South African Black 0.3520142
 32  A*02:05:01-B*58:01:01-C*07:01:01-DRB1*11:02:01-DQB1*03:01:01-DPB1*11:01:01  South African Black 0.3520142
 33  A*02:05:01-B*58:01:01-C*15:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*13:01:01  South African Black 0.3520142
 34  A*02:05:01-B*81:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*01:01:01  South African Black 0.3520142
 35  A*02:05:01-B*08:01:01-C*06:02:01-DRB1*07:01:01-DQA1*01:05:01-DQB1*05:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 36  A*02:05:01-B*18:01:01-C*06:02:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 37  A*02:05:01-B*14:02:01-C*02:02:02-DRB1*01:02:01  Nicaragua Mestizo (G) 0.3226155
 38  A*02:05:01-B*39:08-C*07:02:01-DRB1*08:02:01  Nicaragua Mestizo (G) 0.3226155
 39  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*04:05:01  Nicaragua Mestizo (G) 0.3226155
 40  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*13:02:01  Nicaragua Mestizo (G) 0.3226155
 41  A*02:05:01-B*45:01:01-C*05:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:04-DPB1*15:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 42  A*02:05:01-B*49:01:01-C*07:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 43  A*02:05:01-B*49:01:01-C*15:05:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:07-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 44  A*02:05:01-B*51:01:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 45  A*02:05:01-B*58:01:01-C*03:02:02-DRB1*08:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 46  A*02:05:01-B*58:01:01-C*07:18:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 47  A*02:05:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.29801,510
 48  A*02:05:01-B*49:01:01-C*07:01:01  England Blood Donors of Mixed Ethnicity 0.2890519
 49  A*02:05:01-B*58:01:01-C*07:18  England Blood Donors of Mixed Ethnicity 0.2890519
 50  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*05:04  India Karnataka Kannada Speaking 0.2870174
 51  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.268623,595
 52  A*02:05:01-B*27:05:02-C*01:02:01-DRB1*01:03-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 53  A*02:05:01-B*35:01:01:02-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 54  A*02:05:01-B*58:01:01-C*03:02:02-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 55  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 56  A*02:05:01-B*35:01:01-C*01:02:01-DRB1*16:02:01-DQB1*05:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 57  A*02:05:01-B*15:220:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 58  A*02:05:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 59  A*02:05:01-B*35:02:01-C*06:02:01-DRB1*11:04:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 60  A*02:05:01-B*35:03:01-C*04:01:01-DRB1*13:05:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 61  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:07-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 62  A*02:05:01-B*50:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 63  A*02:05:01-B*53:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.194528,927
 64  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 65  A*02:05:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 66  A*02:05:01-B*53:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.096428,927
 67  A*02:05:01-B*50:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 68  A*02:05:01-B*50:01:01-C*06:02:01:02-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 69  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.05771,734
 70  A*02:05:01-B*41:01:01-C*07:01:01-DRB1*08:04:01-DQB1*03:01:01  Poland BMR 0.044523,595
 71  A*02:05:01-B*27:05:02-C*06:02:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 72  A*02:05:01-B*38:01:01-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 73  A*02:05:01-B*40:01:02-C*03:04:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 74  A*02:05:01-B*44:02:01:03-C*07:04:01-DRB1*12:02:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 75  A*02:05:01-B*51:01:01-C*16:02:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 76  A*02:05:01-B*44:05:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 77  A*02:05:01-B*46:01:01-C*06:02:01-DRB1*07:01:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 78  A*02:05:01-B*54:01:01-C*01:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 79  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 80  A*02:05:01-B*51:01:01-C*16:02:01-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.017023,595
 81  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.015323,595
 82  A*02:05:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.014823,595
 83  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.014723,595
 84  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.010723,595
 85  A*02:05:01-B*41:01:01-C*07:01:01-DRB1*13:05:01-DQB1*03:01:01  Poland BMR 0.010623,595
 86  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 87  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*15:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00775,266
 88  A*02:05:01-B*44:03:02-C*07:06:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00715,266
 89  A*02:05:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006423,595
 90  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006423,595
 91  A*02:05:01-B*41:01:01-C*07:01:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.006423,595
 92  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.005823,595
 93  A*02:05:01-B*58:01:01-C*07:18:01-DRB1*13:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00565,266
 94  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.005223,595
 95  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.004223,595
 96  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004223,595
 97  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004223,595
 98  A*02:05:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004223,595
 99  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.003723,595
 100  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:19-DQB1*03:01:01  Poland BMR 0.002523,595

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 165) 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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