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 1,435) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  

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*26:01-B*51:01-C*16:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.3378296
 53  A*30-B*41-C*16:02-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 54  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
 55  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*15:02:01  Nicaragua Mestizo (G) 0.3226155
 56  A*24:02:01-B*44:03:01-C*16:02:01-DRB1*04:02:01  Nicaragua Mestizo (G) 0.3226155
 57  A*32:01:01-B*35:03:01-C*16:02:01-DRB1*11:01  Nicaragua Mestizo (G) 0.3226155
 58  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
 59  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
 60  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
 61  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
 62  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
 63  A*26:01-B*51:01-C*16:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.30865,849
 64  A*02:01-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  Italy pop 5 0.2900975
 65  A*02:01-B*51:01-C*16:02  Italy pop 5 0.2900975
 66  A*02:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 67  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
 68  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
 69  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
 70  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
 71  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
 72  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
 73  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
 74  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
 75  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
 76  B*51:01-C*16:02  USA Hispanic pop 2 0.27601,999
 77  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
 78  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
 79  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
 80  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
 81  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
 82  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
 83  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
 84  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
 85  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
 86  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
 87  A*30:02-B*51:08-C*16:02-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.264614,339
 88  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
 89  A*30:04:01-B*41:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 90  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
 91  A*11:01-B*15:01-C*16:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 92  A*26:01-B*35:01-C*16:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 93  A*02:01-B*51:01-C*16:02-DRB1*11:01  Germany DKMS - Greece minority 0.24901,894
 94  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
 95  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
 96  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
 97  A*31:01-B*51:01-C*16:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.218311,446
 98  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.21601,159
 99  B*44:03-C*16:02  Mexico Mexico City Mestizo pop 2 0.2100234
 100  A*01:01-B*41:01-C*16:02-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298

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 1,435) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  


   

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