Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 845) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  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
 3  B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 4  A*24-B*35-C*04-DRB1*13  Macedonia MBMDR - Albanian 0.7812128
 5  A*68:03-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 6  A*02-B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 7  A*23-B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 8  A*11-B*35-C*04-DRB1*13-DQB1*06  Albania pop 2 0.6800432
 9  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
 10  A*33:03-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.6757296
 11  A*11-B*35-C*04:01-DRB1*13:01-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 12  A*03-B*35-C*04-DRB1*13  Macedonia MBMDR - Macedonian 0.62021,283
 13  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
 14  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
 15  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
 16  A*02:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.5068296
 17  A*31:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.50452,492
 18  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Vietnam Kinh 0.4950101
 19  A*74:01-B*35:01:01-C*04:01:01-DRB1*13:02:01  Costa Rica African -Caribbean (G) 0.4902102
 20  A*11:01-B*35:03-C*04:01-DRB1*13:01  Russia Bering Island Aleuts 0.4808104
 21  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
 22  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
 23  A*80:01:01-B*35:01:01-C*04:01:01-DRB1*13:04-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 24  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
 25  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
 26  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
 27  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
 28  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 29  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
 30  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
 31  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
 32  A*03:01:01-B*35:08:01-C*04:01:01-DRB1*13:01  Costa Rica Amerindians (G) 0.4032125
 33  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 34  A*24:02-B*35:01-C*04:01-DRB1*13:03-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 35  A*32-B*35-C*04-DRB1*13  Macedonia MBMDR - Albanian 0.3906128
 36  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
 37  A*32:01-B*35:01-C*04:01-DRB1*13:04-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 38  A*68-B*35-C*04-DRB1*13  Macedonia 0.3497286
 39  B*35:01-C*04:01-DRB1*13:04-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 40  A*02-B*35-C*04-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 41  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:07Q-DQB1*05:03  Brazil Puyanawa 0.3333150
 42  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:03:01  Nicaragua Mestizo (G) 0.3226155
 43  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01  Nicaragua Mestizo (G) 0.3226155
 44  A*31:01:02-B*35:17:01-C*04:01:01-DRB1*13:01  Nicaragua Mestizo (G) 0.3226155
 45  A*30-B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.31611,743
 46  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
 47  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
 48  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
 49  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.29962,403
 50  A*26:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.2900975
 51  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
 52  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
 53  A*32:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  USA NMDP Caribean Indian 0.271314,339
 54  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
 55  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
 56  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
 57  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
 58  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
 59  A*02:01-B*35:01-C*04:01-DRB1*13:03-DQA1*01:02-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 60  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
 61  A*32:01-B*35:01-C*04:01-DRB1*13:05-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 62  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
 63  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
 64  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
 65  A*02:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - France minority 0.25101,406
 66  A*11-B*35-C*04-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.25004,510
 67  A*31:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.235611,446
 68  A*11:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Spain minority 0.23301,107
 69  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.23181,510
 70  A*02-B*35-C*04-DRB1*13  Macedonia MBMDR - Macedonian 0.23031,283
 71  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
 72  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
 73  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
 74  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
 75  A*24:02-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.22722,492
 76  A*02:02-B*35:08:01-C*04:01:01-DRB1*13:04-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 77  A*11:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Croatia minority 0.21902,057
 78  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.216811,446
 79  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
 80  A*02:01-B*35:01-C*04:01-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 81  A*24:02-B*35:12-C*04:01-DRB1*13:02-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 82  A*03:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.204714,339
 83  A*02:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Romania minority 0.20401,234
 84  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.20124,204
 85  A*02:01-B*35:01-C*04:01-DRB1*13:02  Italy pop 5 0.2000975
 86  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.19995,829
 87  A*03:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.19744,204
 88  A*02:01-B*35:01-C*04:01-DRB1*13:02  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 89  A*02:01-B*35:03-C*04:01-DRB1*13:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 90  A*03:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 91  A*01:01:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 92  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
 93  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
 94  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
 95  A*30:02:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:04  Brazil Rio de Janeiro Caucasian 0.1946521
 96  A*02:02-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*17:01  Panama 0.1900462
 97  A*31:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:02-DPB1*17:01  Panama 0.1900462
 98  A*33:01-B*35:01-C*04:01-DRB1*13:02-DQB1*04:02-DPB1*04:01  Panama 0.1900462
 99  A*24:02-B*35:04-C*04:01-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Indian 0.1845271
 100  A*11:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.18325,829

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 845) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  


   

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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