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 171) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:94-B*58:01-DRB1*13:01  Malaysia Patani 2.000025
 2  A*11:01:01-B*58:01:01-C*01:02:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 3  A*02:01-B*58:01-DRB1*13:01  Azores Oriental Islands 1.300043
 4  A*29:02-B*58:01-DRB1*13:01  Gaza 1.282042
 5  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:02-DPB1*19:01  South Africa Worcester 1.0000159
 6  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  Mexico Mexico City Mestizo pop 2 0.8600234
 7  B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  Mexico Mexico City Mestizo pop 2 0.8600234
 8  A*24-B*58-DRB1*13:01  Colombia Barranquilla 0.8000188
 9  A*32:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  South Africa Worcester 0.6000159
 10  A*66:02-B*58:02-C*18:01-DRB1*13:01-DQA1*01:02-DQB1*03:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 11  A*66:01:01-B*58:02-C*06:02:01-DRB1*13:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 12  A*02:01:01-B*58:02:01-C*15:05:02-DRB1*13:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*106:01  Brazil Rio de Janeiro Caucasian 0.3891521
 13  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
 14  A*26:01:01-B*58:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:04:01-DPB1*14:01:01  South African Black 0.3520142
 15  A*30:01:01-B*58:01:01-C*07:18-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.3520142
 16  A*33:03-B*58:01-DRB1*13:01  Hong Kong Chinese cord blood registry 0.34523,892
 17  A*02-B*58-C*03:02-DRB1*13:01-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 18  A*03:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*04:01  Tanzania Maasai 0.3195336
 19  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*19:01  Tanzania Maasai 0.3195336
 20  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:03-DPB1*13:01  Tanzania Maasai 0.3195336
 21  A*02:02-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:04-DPB1*04:01  South Africa Worcester 0.3000159
 22  A*02:05-B*58:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*11:01  South Africa Worcester 0.3000159
 23  A*03:01-B*58:01-C*07:02-DRB1*13:01-DQA1*02:01-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 24  A*03:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 25  A*30:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:04-DPB1*04:02  South Africa Worcester 0.3000159
 26  A*66:01-B*58:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*03:03-DPB1*04:01  South Africa Worcester 0.3000159
 27  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  South Africa Worcester 0.3000159
 28  A*68:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*05:04-DPB1*04:01  South Africa Worcester 0.3000159
 29  A*68:02-B*58:02-C*07:01-DRB1*13:01-DQA1*03:01-DQB1*06:02-DPB1*13:01  South Africa Worcester 0.3000159
 30  A*33:03:01-B*58:01:01-C*07:01:02-DRB1*13:01:01-DQB1*02:01:01  India Karnataka Kannada Speaking 0.2870174
 31  A*33:03-B*58:01-C*03:02-DRB1*13:01  Hong Kong Chinese BMDR 0.28597,595
 32  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.2810356
 33  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:03  USA NMDP Black South or Central American 0.28094,889
 34  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  USA African American pop 4 0.21802,411
 35  A*03:01-B*58:02-C*04:01-DRB1*13:01-DQA1*01:02-DQB1*03:03-DPB1*04:01  Nicaragua Managua 0.2165339
 36  A*33:03-B*58:01-C*03:02-DRB1*13:01  Italy pop 5 0.2000975
 37  A*66-B*58-DRB1*13:01  USA NMDP African American 0.2000412,861
 38  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.17801,772
 39  A*02:05-B*58:02-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*04:01  Tanzania Maasai 0.1597336
 40  A*02:05-B*58:02-C*06:66-DRB1*13:01-DQB1*06:03-DPB1*133:01  Tanzania Maasai 0.1597336
 41  A*03:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.1597336
 42  A*33:03-B*58:02-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*04:02  Tanzania Maasai 0.1597336
 43  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*01:01  Tanzania Maasai 0.1597336
 44  A*74:01-B*58:02-C*06:02-DRB1*13:01-DQB1*03:03-DPB1*04:01  Tanzania Maasai 0.1597336
 45  A*01:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 46  A*03:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:04  USA African American pop 4 0.13102,411
 47  B*58:01-DRB1*13:01  Italy pop 5 0.1300975
 48  A*02:05-B*58:01-C*07:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.12901,159
 49  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.12022,403
 50  A*33:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:09  Malaysia Peninsular Malay 0.1052951
 51  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.1052951
 52  A*03-B*58-DRB1*13:01  USA NMDP African American 0.1000412,861
 53  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09495,266
 54  A*02:01-B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  USA African American pop 4 0.08702,411
 55  A*23:01-B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  USA African American pop 4 0.08702,411
 56  A*66:01:01-B*58:02-C*06:02:01-DRB1*13:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0754221
 57  A*68:01-B*58:01-C*07:01-DRB1*13:01  Germany DKMS - France minority 0.07101,406
 58  A*66:01:01-B*58:02-C*06:02:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.0704221
 59  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  Sri Lanka Colombo 0.0700714
 60  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.06105,829
 61  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.05804,204
 62  A*66:01:01-B*58:02-C*06:02:01-DRB1*13:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.0553221
 63  A*11:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 64  A*24:02-B*58:01-C*03:02-DRB1*13:01-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 65  A*33:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 66  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.050811,446
 67  A*24:02-B*58:01-C*07:01-DRB1*13:01  Germany DKMS - Spain minority 0.05001,107
 68  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.04992,492
 69  A*33:03-B*58:34-C*03:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.04892,492
 70  A*03:01-B*58:01-C*07:01-DRB1*13:01  Germany DKMS - United Kingdom minority 0.04801,043
 71  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.04735,849
 72  A*02:01-B*58:01-DRB1*13:01  Hong Kong Chinese cord blood registry 0.04693,892
 73  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04595,266
 74  A*01:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 75  A*02:05-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 76  A*03:01-B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  USA African American pop 4 0.04402,411
 77  A*03:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:08  USA African American pop 4 0.04402,411
 78  A*23:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 79  A*23:01-B*58:01-C*07:01-DRB1*13:01-DQB1*03:03  USA African American pop 4 0.04402,411
 80  A*29:02-B*58:01-C*07:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 81  A*30:02-B*58:01-C*07:01-DRB1*13:01-DQB1*03:03  USA African American pop 4 0.04402,411
 82  A*36:01-B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  USA African American pop 4 0.04402,411
 83  A*29:02-B*58:01-C*07:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 84  A*68:01-B*58:01-C*07:01-DRB1*13:01  Germany DKMS - Romania minority 0.04101,234
 85  A*33:03-B*58:01-C*03:02-DRB1*13:01  Germany DKMS - China minority 0.04001,282
 86  A*29:02-B*58:01-C*07:01-DRB1*13:01  Germany DKMS - Netherlands minority 0.03601,374
 87  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03605,266
 88  A*24:02-B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  Colombia Bogotá Cord Blood 0.03421,463
 89  A*30:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 90  A*30:02-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 91  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  Colombia Bogotá Cord Blood 0.03421,463
 92  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 93  A*02:01-B*58:01-C*03:04-DRB1*13:01  Germany DKMS - Austria minority 0.02901,698
 94  A*03:02-B*58:01-C*03:02-DRB1*13:01  Germany DKMS - Austria minority 0.02901,698
 95  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.02881,734
 96  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.02881,734
 97  A*11:01-B*58:01-C*03:02-DRB1*13:01  Hong Kong Chinese BMDR 0.02757,595
 98  A*11:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.02632,403
 99  A*66:01:01-B*58:02-C*06:02:01-DRB1*13:01-DQB1*05:02  Costa Rica Central Valley Mestizo (G) 0.0226221
 100  A*02:01-B*58:02-C*04:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.02202,411

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 171) 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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