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 954) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*51-C*16:02  Pakistan Mixed Pathan 5.9000100
 2  A*02-B*51-C*16:02  Pakistan Mixed Pathan 3.4000100
 3  A*02-B*51-C*16:02-DRB1*11-DQB1*03  Russia North Ossetian 3.1500127
 4  B*51:01-C*16:02  Tunisia 2.0000100
 5  A*02:01-B*51:01-C*16:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 1.920052
 6  A*02:01:01-B*44:03:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 7  B*51:01-C*16:02  Kenya Nandi 1.3000240
 8  A*31:01:02-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 1.1240356
 9  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 1.0753186
 10  A*32:01:01-B*51:01:01-C*16:02:01  South African Indian population 1.000050
 11  A*02:01-B*35:01-C*16:02-DRB1*04:04-DQA1*03:03-DQB1*04:02  United Arab Emirates Abu Dhabi 0.960052
 12  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQA1*01:02-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 13  A*26:01-B*51:01-C*16:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  United Arab Emirates Abu Dhabi 0.960052
 14  A*68:01-B*35:01-C*16:02-DRB1*14:04-DQA1*01:04-DQB1*05:03  United Arab Emirates Abu Dhabi 0.960052
 15  A*03:01:01:01-B*51:01:01-C*16:02:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.8333120
 16  A*03:01-B*51:01-C*16:02-DRB1*16:02-DQA1*01:02-DQB1*05:02  Kosovo 0.8060124
 17  A*02:48-B*35:01-C*16:02-DRB1*11:01-DQB1*03:02  Iran Gorgan 0.780064
 18  A*02:50-B*08:01-C*16:02-DRB1*03:13-DQB1*02:01  Iran Gorgan 0.780064
 19  A*32:01-B*51:01-C*16:02-DRB1*03:01-DQB1*05:02  Iran Gorgan 0.780064
 20  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.7760174
 21  A*02:01-B*51:01-C*16:02-DRB1*11:02-DQB1*03:01  USA NMDP Caribean Indian 0.756214,339
 22  A*02:01-C*16:02  Italy pop 5 0.7200975
 23  A*02:01-B*51:01-C*16:02-DRB1*11:02-DRB3*02:02-DQB1*03:01  USA NMDP Caribean Hispanic 0.6498115,374
 24  B*51:01-C*16:02  USA Asian pop 2 0.63001,772
 25  A*29:02:01-B*44:03:01-C*16:02:01-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 26  A*31:01-B*51:01-C*16:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.5602714
 27  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*09:01:02  China Jingpo Minority 0.5210105
 28  B*51:01:01-C*16:02:01-DRB1*09:01:02  China Jingpo Minority 0.5210105
 29  A*03:01:01-C*16:02:01-DRB1*09:01:02  China Jingpo Minority 0.5150105
 30  A*03:01:01-B*51:01:01-C*16:02:01  China Jingpo Minority 0.4950105
 31  A*24:02:01-B*35:17:01-C*16:02:01-DRB1*14:06:01  Costa Rica African -Caribbean (G) 0.4902102
 32  B*51:01:01-C*16:02:01  China Jingpo Minority 0.4900105
 33  A*03:01:01-C*16:02:01  China Jingpo Minority 0.4850105
 34  A*02:01-B*51:01-C*16:02-DRB1*11:01  Russia Bering Island Aleuts 0.4808104
 35  A*02:06:01-B*51:08-C*16:02:01-DRB1*04:07  Costa Rica Guanacaste Mestizo (G) 0.4545110
 36  A*02:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.44104,856
 37  A*01:01-B*44:03-C*16:02-E*01:03:02-F*01:01:01-G*01:06-DRB1*04:02-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 38  A*02:01-B*39:01-C*16:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*16:01-DQA1*01:02-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 39  A*02:01-B*44:03-C*16:02-DRB1*04:02  Germany DKMS - Portugal minority 0.42501,176
 40  A*02:01:01:01-B*51:01:01-C*16:02:01-DRB1*11:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 41  A*24:02:01-B*15:07:01-C*16:02:01-DRB1*04:05:01-DQB1*04:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 42  A*30:04:01-B*13:02:01-C*16:02:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 43  A*32:01-B*51:08-C*16:02-DRB1*14:54-DQA1*01:01-DQB1*06:09  Kosovo 0.4030124
 44  A*01-B*51-C*16:02-DRB1*13-DQB1*06  Russia North Ossetian 0.3900127
 45  A*02-B*51-C*16:02-DRB1*16-DQB1*05  Russia North Ossetian 0.3900127
 46  A*33:03:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.3740174
 47  A*03:01-B*51:01-C*16:02-DRB1*04:01-DQB1*03:02  Malaysia Peninsular Indian 0.3690271
 48  B*51:01-C*16:02  Italy pop 5 0.3500975
 49  B*40:01-C*16:02  Mexico Mexico City Mestizo population 0.3497143
 50  B*40:01-C*16:02-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 51  A*01:01-B*51:01-C*16:02-DRB1*14:01  Brazil Vale do Ribeira Quilombos 0.3472144
 52  A*30-B*41-C*16:02-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 53  A*02:01:01-B*08:01:01-C*16:02:01-DRB1*13:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 54  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*15:02:01  Nicaragua Mestizo (G) 0.3226155
 55  A*24:02:01-B*44:03:01-C*16:02:01-DRB1*04:02:01  Nicaragua Mestizo (G) 0.3226155
 56  A*32:01:01-B*35:03:01-C*16:02:01-DRB1*11:01  Nicaragua Mestizo (G) 0.3226155
 57  A*01:01:01-B*18:01:01-C*16:02:01-DRB1*03:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 58  A*01:01:01-B*35:03:01-C*16:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 59  A*02:01:01-B*18:01:01-C*16:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*02:01:02-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 60  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 61  A*24:02:01-B*44:05:01-C*16:02:01-DRB1*04:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 62  A*02:01-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  Italy pop 5 0.2900975
 63  A*02:01-B*51:01-C*16:02  Italy pop 5 0.2900975
 64  A*02:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 65  A*01:01:01-B*44:03:02-C*16:02:01-DRB1*07:01:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 66  A*01:01:01-B*57:01:01-C*16:02:01-DRB1*13:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 67  A*02:11:01-B*15:05:01-C*16:02:01-DRB1*13:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 68  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 69  A*26:01:01-B*78:01:01-C*16:02:01-DRB1*04:05:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 70  A*68:01:02-B*15:18:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 71  A*02:11:01-B*51:01:01-C*16:02:01-DRB1*15:02:02-DQB1*06:01:01  India Kerala Malayalam speaking 0.2810356
 72  A*31:01:02-B*55:01:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.2810356
 73  A*33:03:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 74  B*51:01-C*16:02  USA Hispanic pop 2 0.27601,999
 75  A*01:01:01-B*51:01:01-C*16:02:01-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 76  A*02:11:01-B*51:01:01-C*16:02:01-DRB1*12:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 77  A*11:01:01-B*15:18:01-C*16:02:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 78  A*11:01:01-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:110  India Andhra Pradesh Telugu Speaking 0.2688186
 79  A*11:01:01-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 80  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*04:04:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 81  A*24:02:13-B*15:18:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 82  A*31:01:02-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*06:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 83  A*33:03:01-B*58:01:01-C*16:02:01-DRB1*04:03:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 84  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 85  A*30:02-B*51:08-C*16:02-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.264614,339
 86  A*02:01:01:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:04  Russia Bashkortostan, Tatars 0.2604192
 87  A*30:04:01-B*41:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 88  A*02:01-B*51:08-C*16:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 89  A*11:01-B*15:01-C*16:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 90  A*26:01-B*35:01-C*16:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 91  A*02:01-B*51:01-C*16:02-DRB1*11:01  Germany DKMS - Greece minority 0.24901,894
 92  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:01-DQB1*05:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.243228,927
 93  A*11:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 94  A*34:02:01-B*35:03:01-C*16:02:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 95  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.21601,159
 96  B*44:03-C*16:02  Mexico Mexico City Mestizo pop 2 0.2100234
 97  A*01:01-B*41:01-C*16:02-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 98  A*02:01-B*51:01-C*16:02-DRB1*12:01  Italy pop 5 0.2000975
 99  A*02:01-B*55:01-C*16:02-DRB1*14:01-DQB1*05:03:01  England North West 0.2000298
 100  A*02:01-B*51:01-C*16:02-DRB1*16:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028

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 954) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  


   

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