Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,589) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  

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  A*32:01-B*51:01-C*16:02-DRB1*16:01-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.3685570
 49  B*51:01-C*16:02  Italy pop 5 0.3500975
 50  B*40:01-C*16:02  Mexico Mexico City Mestizo population 0.3497143
 51  B*40:01-C*16:02-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 52  A*01:01-B*51:01-C*16:02-DRB1*14:01  Brazil Vale do Ribeira Quilombos 0.3472144
 53  A*26:01-B*51:01-C*16:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.3378296
 54  A*30-B*41-C*16:02-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 55  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
 56  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*15:02:01  Nicaragua Mestizo (G) 0.3226155
 57  A*24:02:01-B*44:03:01-C*16:02:01-DRB1*04:02:01  Nicaragua Mestizo (G) 0.3226155
 58  A*32:01:01-B*35:03:01-C*16:02:01-DRB1*11:01  Nicaragua Mestizo (G) 0.3226155
 59  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
 60  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
 61  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
 62  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
 63  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
 64  A*26:01-B*51:01-C*16:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.30865,849
 65  A*02:01-B*44:03-C*16:02-DRB1*04:02-DQB1*03:02  Italy pop 5 0.2900975
 66  A*02:01-B*51:01-C*16:02  Italy pop 5 0.2900975
 67  A*02:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 68  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
 69  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
 70  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
 71  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
 72  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
 73  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
 74  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
 75  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
 76  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
 77  A*02:01-B*51:01-C*16:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*14:01  United Arab Emirates Pop 1 0.2804570
 78  B*51:01-C*16:02  USA Hispanic pop 2 0.27601,999
 79  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
 80  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
 81  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
 82  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
 83  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
 84  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
 85  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
 86  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
 87  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
 88  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
 89  A*30:02-B*51:08-C*16:02-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.264614,339
 90  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
 91  A*30:04:01-B*41:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 92  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
 93  A*11:01-B*15:01-C*16:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 94  A*26:01-B*35:01-C*16:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 95  A*02:01-B*51:01-C*16:02-DRB1*11:01  Germany DKMS - Greece minority 0.24901,894
 96  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
 97  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
 98  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
 99  A*31:01-B*51:01-C*16:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.218311,446
 100  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.21601,159

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 1,589) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  


   

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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