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 493) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 2  A*02-B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 3  A*23-B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 4  A*11-B*35-C*04-DRB1*13-DQB1*06  Albania pop 2 0.6800432
 5  A*03:01:01-B*35:08:01-C*04:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.6787221
 6  A*33:03-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.6757296
 7  A*11-B*35-C*04:01-DRB1*13:01-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 8  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
 9  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
 10  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
 11  A*02:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.5068296
 12  A*31:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.50452,492
 13  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Vietnam Kinh 0.4950101
 14  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 15  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 16  A*24:02:01-B*35:08:01-C*04:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.4525221
 17  A*02:01-B*35:02-C*04:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*03:01-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 18  A*30:01-B*35:27-C*04:01-E*01:03:01-F*01:01:01-G*01:05N-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 19  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQA1*01:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 20  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.4202714
 21  A*01:01:01:01-B*35:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Bashkortostan, Bashkirs 0.4167120
 22  A*31:01:02:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 23  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 24  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 25  A*02-B*35-C*04-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 26  A*30-B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.31611,743
 27  A*23:17:01-B*35:08:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 28  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 29  A*23:01-B*35:01-C*04:01-DRB1*13:02-DQA1*01:01-DQB1*06:09-DPB1*26:01  South Africa Worcester 0.3000159
 30  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.29962,403
 31  A*26:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.2900975
 32  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 33  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 34  A*32:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  USA NMDP Caribean Indian 0.271314,339
 35  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 36  A*02:09-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 37  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 38  A*01:01-B*35:55-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  USA San Diego 0.2600496
 39  A*11:01-B*35:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 40  A*33:03-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  USA San Diego 0.2600496
 41  A*68:01-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Diego 0.2600496
 42  A*68:01-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*09:01  USA San Diego 0.2600496
 43  A*11-B*35-C*04-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.25004,510
 44  A*31:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.235611,446
 45  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 46  A*23:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 47  A*29:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 48  A*30:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 49  A*24:02-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.22722,492
 50  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.216811,446
 51  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  Nicaragua Managua 0.2165339
 52  A*03:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.204714,339
 53  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.20124,204
 54  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.19995,829
 55  A*03:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.19744,204
 56  A*02:01:01-B*35:08:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 57  A*02:05:01-B*35:03:01-C*04:01:01-DRB1*13:05:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 58  A*24:02-B*35:04-C*04:01-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Indian 0.1845271
 59  A*11:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.18325,829
 60  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.17801,772
 61  A*01:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.17501,159
 62  A*24:03-B*35:01-C*04:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.17301,159
 63  A*31:12-B*35:03-C*04:03-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.1689296
 64  A*03:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.16832,492
 65  A*01-B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.16801,743
 66  A*01:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.16204,856
 67  A*11:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.16204,204
 68  A*24:02-B*35:02-C*04:18-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.1597336
 69  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.15781,075
 70  A*11:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.152511,446
 71  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.15004,856
 72  A*24:02:01-B*35:08-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.146028,927
 73  A*68:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.14492,403
 74  A*02:01-B*35:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.1401714
 75  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.1401714
 76  A*01:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 77  A*02:01-B*35:08-C*04:01-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 78  A*02:01-B*35:08-C*04:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 79  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.14001,999
 80  A*11:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 81  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 82  A*31:01:02-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 83  A*33:03:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 84  A*03:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.13912,403
 85  A*11:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.13301,772
 86  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.13101,075
 87  A*26-B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.12921,743
 88  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.1286221
 89  A*03:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.12695,849
 90  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.12561,075
 91  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.11985,849
 92  A*24:02-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.118611,446
 93  A*03:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.11525,829
 94  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*13:01  Russia Karelia 0.11291,075
 95  A*33:03-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.11215,829
 96  A*01:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.108311,446
 97  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.10762,492
 98  A*02:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.10612,403
 99  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 100  A*30:02-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335

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 493) records   Pages: 1 2 3 4 5 of 5  


   

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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