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 4,326) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 44  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*33:03-B*35:03-DRB1*13:01  China Yunnan Province Wa 4.6000119
 2  A*03:01-B*35:03-C*04:01-DRB1*08:01  Russia Bering Island Aleuts 2.8846104
 3  A*68:02:01-B*35:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 4  B*35:03-C*14:02:01  India West Bhil 2.000050
 5  A*68:01-B*35:03-C*04:01-DRB1*04:05-DQA1*03:03-DQB1*03:02  United Arab Emirates Abu Dhabi 1.920052
 6  B*35:03-C*04:01  Italy pop 5 1.8600975
 7  A*24:02-B*35:03-DRB1*13:01  Malaysia Mandailing 1.851927
 8  A*02:01-B*35:03  Brazil Belo Horizonte Caucasian 1.800095
 9  A*33:03-B*35:03-DRB1*13:01  Malaysia Kelantan 1.785728
 10  A*03:01-B*35:03-C*03:04-DRB1*15:01  Brazil Vale do Ribeira Quilombos 1.7361144
 11  A*24:02-B*35:03-DRB1*13:01  Malaysia Champa 1.724129
 12  A*02:11:01-B*35:03:01-C*04:01:01-DRB1*15:02:02-DQB1*06:01:01  India Karnataka Kannada Speaking 1.7240174
 13  A*24:02-B*35:03  Brazil Belo Horizonte Caucasian 1.600095
 14  A*11:01-B*35:03-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*06:02  Mexico Tixcacaltuyub Maya 1.492567
 15  A*66:01:01-B*35:03:01-C*04:01:01-DRB1*13:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Black 1.470668
 16  B*35:03-C*04:01  USA Asian pop 2 1.45201,772
 17  A*03:01-B*35:03-DRB1*04:03  Azores Oriental Islands 1.300043
 18  A*68:02-B*35:03-DRB1*04:03  Azores Oriental Islands 1.300043
 19  A*02:01-B*35:03-DRB1*11:04  Gaza 1.282042
 20  A*03:01:01-B*35:03-DRB1*15:01:01  Portugal North 1.100046
 21  A*31:01:02-B*35:03-DRB1*01:03  Portugal North 1.100046
 22  B*35:03-C*04:01  USA Hispanic pop 2 1.02801,999
 23  A*01:01:01-B*35:03:01-C*01:44  South African Indian population 1.000050
 24  A*02:01:01-B*35:03:01-C*12:03:01  South African Mixed ancestry 1.000050
 25  A*02:17-B*35:03-DRB1*01:01  Bulgaria 1.000055
 26  A*03:01-B*35:03-DRB1*14:01  Armenia combined Regions 1.0000100
 27  A*03:02:01-B*35:03:01-C*12:03:01  South African Indian population 1.000050
 28  A*03:02-B*35:03-DRB1*15:01:01  Portugal Center 1.000050
 29  A*24:02:01-B*35:03:01-C*04:01:01  South African Indian population 1.000050
 30  A*24:02:01-B*35:03:01-C*04:01:01  South African Mixed ancestry 1.000050
 31  A*24:02:01-B*35:03:01-C*12:03:01  South African Indian population 1.000050
 32  A*24:02:01-B*35:03-DRB1*16:01:01  Portugal Center 1.000050
 33  A*26:01:01-B*35:03:01-C*06:02:01  South African Mixed ancestry 1.000050
 34  A*26:01-B*35:03-DRB1*12:01:01/12:06  Portugal South 1.000049
 35  A*31:01:02-B*35:03:01-C*04:01:01  South African Indian population 1.000050
 36  A*02:01-B*35:03-C*04:01  Italy pop 5 0.9700975
 37  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 38  A*24:02-B*35:03-C*12:03-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.917214,339
 39  A*02:11-B*35:03-C*04:01-DRB1*15:02-DQB1*06:01  India South UCBB 0.881911,446
 40  B*35:03-C*12:03  USA Asian pop 2 0.87801,772
 41  A*24:02-B*35:03-C*12:03-E*01:03:02-F*01:01:02-G*01:01-DRB1*11:01-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.8772130
 42  A*11:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.87464,204
 43  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.8620174
 44  A*33:03:01-B*35:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.8620174
 45  B*35:03-C*04:01  Mexico Mexico City Mestizo pop 2 0.8500234
 46  A*03:01-B*35:03-C*04:01  Italy pop 5 0.8200975
 47  A*02:01-B*35:03-C*04:01-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 48  A*02:01-B*35:03-C*04:01-DRB1*12:01-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 49  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 50  B*35:03-DRB1*11:01  Italy pop 5 0.7800975
 51  A*02:01-B*35:03-DRB1*04:03-DQB1*03:01  Chile Mapuche 0.770066
 52  A*03:01-B*35:03-C*04:01-DRB1*11:01  Italy pop 5 0.7000975
 53  A*24:02-B*35:03-C*12:03-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 0.6778115,374
 54  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.6757296
 55  A*30:01-B*35:03-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 0.6667150
 56  A*11:01-B*35:03-C*04:01-DRB1*14:04-DQB1*06:01  India North UCBB 0.64745,849
 57  A*36-B*35:03-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 58  A*02:01-B*35:03-C*04:01-DRB1*12:01-DQB1*03:01  Italy pop 5 0.5900975
 59  A*03:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.5900975
 60  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*15:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 61  A*11:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.58585,849
 62  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.5837521
 63  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.5750174
 64  A*02:11:01-B*35:03:01-C*12:03:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 65  A*32:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.5750174
 66  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.5620356
 67  B*35:03-C*12:03  Italy pop 5 0.5600975
 68  B*35:03-DRB1*07:01  Italy pop 5 0.5500975
 69  A*02:01-B*35:03-C*04:01-DRB1*11:04  Germany DKMS - Greece minority 0.54401,894
 70  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 71  A*33:03:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.5376186
 72  A*02:01-B*35:03-C*04:01-DRB1*12:01  Italy pop 5 0.5300975
 73  A*02:01:01:01-B*35:03:01-C*04:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.5208192
 74  A*11:01:01:01-B*35:03:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Russia Bashkortostan, Tatars 0.5208192
 75  A*02:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.5068296
 76  A*03:01-B*35:03-C*04:01-DRB1*07:01-DQB1*03:03  India Northeast UCBB 0.5068296
 77  A*11:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  India Northeast UCBB 0.5068296
 78  A*11:01-B*35:03-C*04:01-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.5068296
 79  A*31:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.50452,492
 80  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.49534,204
 81  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Vietnam Kinh 0.4950101
 82  A*02:11-B*35:03-C*04:01-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.49112,492
 83  A*02:01-B*35:03-C*04:01-DRB1*15:01  Russia Bering Island Aleuts 0.4808104
 84  A*11:01-B*35:03-C*04:01-DRB1*13:01  Russia Bering Island Aleuts 0.4808104
 85  A*24:02-B*35:03-C*04:01-DRB1*11:02  Russia Bering Island Aleuts 0.4808104
 86  A*68:01-B*35:03-C*04:01-DRB1*03:01  Russia Bering Island Aleuts 0.4808104
 87  A*26:01-B*35:03-DRB1*04:04  New Zealand Maori with Admixed History 0.4762105
 88  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.46905,849
 89  A*68:01-B*35:03-C*04:01-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  United Arab Emirates Pop 1 0.4673570
 90  A*02:01-B*35:03-DRB1*11:04  Israel Bukhara Jews 0.46402,317
 91  A*24:02-B*35:03  USA Asian pop 2 0.46401,772
 92  A*11:01-B*35:03-C*04:01-DRB1*14:04-DQB1*06:01  India East UCBB 0.45462,403
 93  A*24:02:01-B*35:03:01-C*15:09-DRB1*13:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 94  A*11:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.45072,403
 95  A*02:01-B*35:03-C*04:01-E*01:01:01-F*01:03:01-G*01:01-DRB1*03:04-DQA1*05:01-DQB1*04:02  Portugal Azores Terceira Island 0.4386130
 96  A*02:01-B*35:03-C*04:01-E*01:03:02-F*01:01:01-G*01:03-DRB1*14:01-DQA1*01:04-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 97  A*02:01-B*35:03-C*06:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 98  A*02:25-B*35:03-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*04:02-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 99  A*03:01-B*35:03-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*08:01-DQA1*04:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 100  A*11:01-B*35:03-C*04:01-DRB1*14:04-DQB1*06:01  India Central UCBB 0.43864,204

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 4,326) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 44  


   

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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