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 678) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24-B*35-C*04-DRB1*11-DQB1*03  Albania pop 2 3.0400432
 2  A*24-B*35-C*04-DRB1*11-DQB1*03  Albania 3.0000160
 3  A*24-B*35-C*04-DRB1*11-DQB1*03  Spain Ibiza 2.600088
 4  A*24-B*35-C*04-DRB1*11-DQB1*03  Iraq Kurdistan Region 2.6000209
 5  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Iran Gorgan 2.340064
 6  A*03-B*35-C*04-DRB1*11-DQB1*03  Iraq Kurdistan Region 1.7000209
 7  A*24-B*35-C*04-DRB1*11-DQB1*03  Spain Majorcans Jews 1.7000103
 8  A*23-B*35-C*04-DRB1*11-DQA1*05-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 9  B*35-C*04-DRB1*11-DQA1*05-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 10  A*03:01-B*35:01-C*04:01-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 1.2100124
 11  A*02-B*35-C*04:01-DRB1*11-DQB1*03  Russia North Ossetian 1.1800127
 12  A*24-B*35-C*04-DRB1*11-DQB1*03  Spain Majorca 1.1000407
 13  B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 1.0490143
 14  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 1.04801,159
 15  A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 1.0417192
 16  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Middle Eastern or North Coast of Africa 1.003270,890
 17  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
 18  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 19  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Indian 0.9225271
 20  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.90404,856
 21  A*11:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.87464,204
 22  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA NMDP Caribean Indian 0.859714,339
 23  A*02:01-B*35:03-C*04:01-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 24  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Caribean Hispanic 0.7975115,374
 25  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:05-DQB1*03:19  Mexico Tixcacaltuyub Maya 0.746367
 26  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Italy pop 5 0.7400975
 27  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.7020356
 28  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.6993143
 29  A*02-B*35-C*04-DRB1*11-DQB1*03  Albania pop 2 0.6800432
 30  A*68-B*35-C*04-DRB1*11-DQB1*03  Albania pop 2 0.6800432
 31  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*14:01  Tanzania Maasai 0.6390336
 32  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.60501,999
 33  A*03:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*01:01  South Africa Worcester 0.6000159
 34  A*02:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.5900975
 35  A*03:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.5900975
 36  A*02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*126:01:01  Brazil Rio de Janeiro Parda 0.5882170
 37  A*68:01:02-B*35:08:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 38  A*11:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.58585,849
 39  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*02:01  Panama 0.5700462
 40  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.5620356
 41  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
 42  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 43  A*11:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5208192
 44  A*24-B*35-C*04-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.52051,743
 45  A*11:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  India Northeast UCBB 0.5068296
 46  A*23:01:01-B*35:01:01-C*04:01:01-DRB1*11:02:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 47  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Mexican or Chicano 0.4533261,235
 48  A*11:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.45072,403
 49  A*03:01-B*35:27-C*04:01-E*01:03:01-F*01:03:01-G*01:06-DRB1*11:04-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 50  A*29:02-B*35:01-C*04:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*11:03-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 51  A*66:01-B*35:01-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*11:01-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 52  B*35:01-C*04:01-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 53  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 54  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 55  A*32:01:01-B*35:01:10-C*04:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 56  A*32:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.41222,492
 57  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 58  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 59  A*24:02:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 60  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Hispanic South or Central American 0.3827146,714
 61  A*32:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.378811,446
 62  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  India North UCBB 0.37365,849
 63  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP South Asian Indian 0.3732185,391
 64  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Southeast Asian 0.368627,978
 65  A*11:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.35495,829
 66  A*01-B*35-C*04-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.35211,743
 67  A*02:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 68  A*24:02-B*35:01-C*04:01-DRB1*11:02-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 69  A*24:02-B*35:01-C*04:01-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 70  B*35:01-C*04:01-DRB1*11:02-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 71  B*35:01-C*04:01-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 72  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.34501,159
 73  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.34204,335
 74  A*68:02:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*17:01  Russia Belgorod region 0.3268153
 75  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*55:01  Tanzania Maasai 0.3195336
 76  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.319111,499
 77  A*03-B*35-C*04-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.31461,743
 78  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 79  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*11:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 80  A*11:01:01-B*35:02:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 81  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP European Caucasian 0.30961,242,890
 82  A*03:01-B*35:01-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.30301,159
 83  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.28804,856
 84  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 85  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 86  A*32:01:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 87  A*11:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.265111,446
 88  A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.26351,510
 89  A*11:01:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 90  A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 91  A*11:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 92  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 93  A*24:02-B*35:08-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:02-DPB1*04:02  USA San Diego 0.2600496
 94  A*01:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.25901,159
 95  A*03:01-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.25901,159
 96  A*11-B*35-C*04-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.25681,743
 97  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*02:01  Russia Karelia 0.25251,075
 98  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  India West UCBB 0.23925,829
 99  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  India Central UCBB 0.23264,204
 100  A*02:02:01-B*35:01:01-C*04:01:01-DRB1*11:02:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215

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 678) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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