Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 794) records   Pages: 1 2 3 4 5 6 7 8 of 8  

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-B*35-DRB1*13:01-DQB1*06:03  Colombia San Basilio de Palenque 3.571042
 3  A*11:01-B*35:01-DRB1*13:01  Malaysia Kedah Kensiu 2.380021
 4  A*24:02-B*35:03-DRB1*13:01  Malaysia Mandailing 1.851927
 5  A*33:03-B*35:03-DRB1*13:01  Malaysia Kelantan 1.785728
 6  A*24:02-B*35:03-DRB1*13:01  Malaysia Champa 1.724129
 7  A*26:05-B*35:01-DRB1*13:01  Azores Oriental Islands 1.300043
 8  A*11:01:01-B*35:01:01-DRB1*13:01:01  Portugal North 1.100046
 9  A*24-B*35-DRB1*13:01  Colombia Barranquilla 1.0600188
 10  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
 11  A*02:61-B*35:01-DRB1*13:01-DQB1*06:03  Iran Saqqez-Baneh Kurds 0.833360
 12  A*68-B*35-DRB1*13:01-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 13  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
 14  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.6757296
 15  A*33:03-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.6757296
 16  A*11-B*35-C*04:01-DRB1*13:01-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 17  A*32-B*35-C*01:02-DRB1*13:01-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 18  A*02:01-B*35:01-DRB1*13:01-DQB1*06:03  Mexico Veracruz Xalapa 0.595284
 19  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
 20  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
 21  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
 22  B*35:01-DRB1*13:01  Italy pop 5 0.5200975
 23  A*11:01-B*35:01-DRB1*13:01-DQB1*06:03  Iran Tabriz Azeris 0.515597
 24  A*24:02-B*35:01-DRB1*13:01-DQB1*06:03  Iran Tabriz Azeris 0.515597
 25  A*02:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.5068296
 26  A*31:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.50452,492
 27  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.49534,204
 28  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Vietnam Kinh 0.4950101
 29  A*11:01-B*35:03-C*04:01-DRB1*13:01  Russia Bering Island Aleuts 0.4808104
 30  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
 31  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
 32  A*24:02:01-B*35:03:01-C*15:09-DRB1*13:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 33  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
 34  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
 35  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
 36  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.42472,492
 37  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
 38  A*11:01:01-B*35:01:01-C*06:02:01-DRB1*13:01:01-DQA1*05:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 39  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
 40  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
 41  A*03:01:01-B*35:08:01-C*04:01:01-DRB1*13:01  Costa Rica Amerindians (G) 0.4032125
 42  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 43  A*11:01-B*35:01-C*16:01-DRB1*13:01-DQB1*05:01-DPB1*04:01  Panama 0.3800462
 44  A*11:01-B*35:03-C*12:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.3690271
 45  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.3690271
 46  A*02:05-B*35:02-DRB1*13:01  Israel Bukhara Jews 0.35502,317
 47  A*43:01-B*35:01:01-C*06:02:01-DRB1*13:01:01-DQB1*02:01:01-DPB1*01:01:01  South African Black 0.3520142
 48  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.3501714
 49  A*68:01-B*35:01-C*03:03-DRB1*13:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 50  B*35:01-C*03:03-DRB1*13:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 51  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.33905,829
 52  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.3378296
 53  A*02-B*35-C*01:02-DRB1*13:01-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 54  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:07Q-DQB1*05:03  Brazil Puyanawa 0.3333150
 55  A*02:01-B*35:02-DRB1*13:01  Israel Bukhara Jews 0.33002,317
 56  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01  Nicaragua Mestizo (G) 0.3226155
 57  A*31:01:02-B*35:17:01-C*04:01:01-DRB1*13:01  Nicaragua Mestizo (G) 0.3226155
 58  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.31422,403
 59  A*02:01:01-B*35:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*01:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 60  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.29962,403
 61  A*11-B*35-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2965641
 62  A*01:01:01-B*35:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 63  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
 64  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
 65  A*32:01:01-B*35:03:01-C*07:01:01-DRB1*13:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 66  A*01-B*35-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2779641
 67  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
 68  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
 69  A*11:01:01-B*35:01:01-C*01:02:01-DRB1*13:01:01-DQB1*04:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 70  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 71  A*68:01:01-B*35:03:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 72  A*01:01:01:01-B*35:02:01-C*06:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 73  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
 74  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
 75  A*24-B*35-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2594641
 76  A*02:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - France minority 0.25101,406
 77  A*31:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.235611,446
 78  A*11:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Spain minority 0.23301,107
 79  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
 80  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
 81  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
 82  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
 83  A*31:01:02-B*35:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 84  A*24:02-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.22722,492
 85  A*11:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Croatia minority 0.21902,057
 86  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.216811,446
 87  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
 88  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.20755,849
 89  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.205711,446
 90  A*02:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Romania minority 0.20401,234
 91  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.20124,204
 92  A*34-B*35-DRB1*13:01  USA NMDP African American 0.2000412,861
 93  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.19995,829
 94  A*03:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.19744,204
 95  A*02:01-B*35:03-C*04:01-DRB1*13:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 96  A*03:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 97  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
 98  A*02:20:01-B*35:20:01-C*04:01:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 99  A*24:02:01-B*35:08:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 100  A*02:01-B*35:01-C*16:01-DRB1*13:01-DQB1*06:03-DPB1*01:01  Panama 0.1900462

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 794) records   Pages: 1 2 3 4 5 6 7 8 of 8  


   

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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